Journal of Preventive Medicine and Public Health

Original Article

Knowledge, Attitudes, and Practices Regarding Dengue Prevention Among Health Volunteers in an Urban Area – Malang, Indonesia: Alidha Nur Rakhmani, Lilik Zuhriyah; J Prev Med Public Health. 2024;57(2):176-184. Published online February 21, 2024; DOI: https://doi.org/10.3961/jpmph.23.484

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Abstract Summary PDF: Objectives
The dengue prevention program known as “One House One Mosquito Larva Inspector” involves health volunteers who play a crucial role in the surveillance of mosquito larvae and reporting their findings to local public health officials. This study aimed to identify factors related to the knowledge, attitudes, and practices (KAP) of dengue prevention behavior among these health volunteers.
Methods
A study was conducted in 5 sub-districts in Malang, an urban area in Indonesia. We employed a cross-sectional design and utilized a semi-structured questionnaire to assess the KAP of 400 health volunteers. Data were collected through face-to-face interviews.
Results
Multiple logistic regression analysis revealed that individuals with a more positive attitude (odds ratio [OR], 1.69; p<0.05) and those with family sizes greater than five persons (OR, 1.90; p<0.05) were more likely to engage in effective dengue prevention practices. Additionally, possesing good knowledge was significantly assocated with more positive attitude (OR, 2.24; p<0.001). Furthermore, 40% reduction in positive attitude was observed in those over 45 years (OR, 0.60; p<0.05). The best practices most frequently reported by the majority of respondents included always reporting their surveillance activities (75.8%) and cleaning the water container in the bathroom at least once a week (65.2%). However, only 52.2% of respondents regularly checked for mosquito larvae in their neighborhood.
Conclusions
Sustainable promotion and training for the “One House One Mosquito Larva Inspector” initiative are necessary, particularly among young health volunteers, to improve dengue prevention behaviors both within their own homes and in the surrounding environment.; Summary

Key Message
The study among health volunteers emphasizes that better knowledge and younger age < 45 were associated with a positive attitude. While a positive attitude and family size > 5 persons were associated with better dengue prevention practices. Therefore, there is a need for sustained promotion and training among health volunteers to enhance the knowledge and attitude that may shape good dengue prevention practices.

Perspective

A Lifestyle Communication Tool: Association of E-cigarette Use and Pre-diabetes: Nilanga Aki Bandara, Tanisha Vallani, Xuan Randy Zhou, Senara Hansini Palihawadane, Rochelle Gamage, Miles Mannas, Jay Herath; J Prev Med Public Health. 2023;56(4):384-387. Published online July 31, 2023; DOI: https://doi.org/10.3961/jpmph.23.086

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Abstract PDF: The aim of this study was to present a framework for clinicians to use when discussing electronic cigarette (e-cigarette) use and its association with pre-diabetes. A communication tool was designed using evidence-based strategies from the academic literature. A four-step framework is presented, which includes: step (1) helping patients to understand the association between e-cigarette use and pre-diabetes; step (2) the synergistic health impacts of e-cigarette use and pre-diabetes; step (3) management of diabetes-related lifestyle factors; and step (4) stages of change assessment related to e-cigarette reduction. This communication tool provides support for clinicians to discuss the risk of pre-diabetes associated with e-cigarette use. Moving forward, implementation and evaluation of this model are needed.; Summary

Original Articles

Evaluation of the Public Health Emergency Response to the COVID-19 Pandemic in Daegu, Korea During the First Half of 2020: Hwajin Lee, Keon-Yeop Kim, Jong-Yeon Kim, Sin Kam, Kyeong Soo Lee, Jung Jeung Lee, Nam Soo Hong, Tae-Yoon Hwang; J Prev Med Public Health. 2022;55(4):360-370. Published online June 22, 2022; DOI: https://doi.org/10.3961/jpmph.22.068

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Abstract Summary PDF Supplementary Material

Objectives
This study evaluated the response in Daegu, Korea to the first wave of the coronavirus disease 2019 (COVID-19) pandemic according to a public health emergency response model.
Methods
After an examination of the official data reported by the city of Daegu and the Korea Centers for Disease Control and Prevention, as well as a literature review and advisory meetings, we chose a response model. Daegu’s responses were organized into 4 phases and evaluated by applying the response model.
Results
In phase 1, efforts were made to block further transmission of the virus through preemptive testing of a religious group. In phase 2, efforts were concentrated on responding to mass infections in high-risk facilities. Phase 3 involved a transition from a high-intensity social distancing campaign to a citizen participation–based quarantine system. The evaluation using the response model revealed insufficient systematic preparation for a medical surge. In addition, an incorporated health-related management system and protection measures for responders were absent. Nevertheless, the city encouraged the participation of private hospitals and developed a severity classification system. Citizens also played active roles in the pandemic response by practicing social distancing.
Conclusions
This study employed the response model to evaluate the early response in Daegu to the COVID-19 pandemic and revealed areas in need of improvement or maintenance. Based on the study results, creation of a systematic model is necessary to prepare for and respond to future public health emergencies like the COVID-19 pandemic.

Summary

Korean summary
이 연구는 공중보건 위기대응 모형을 적용하여 코로나19 1차 유행에 대한 대구시의 대응을 평가하였습니다. 모형의 세부적 요소인 15개 역량에 따른 평가 결과, 대구의 대응에서 개선 또는 유지해야 할 영역들이 확인되었습니다. 이 결과를 바탕으로, 한국형 공중보건 위기대응 모형을 체계적으로 구축해야 할 것입니다.

Citations

Citations to this article as recorded by

Factors influencing psychological concerns about COVID-19 in South Korea: direct and indirect damage during the early stages of pandemic
Min-sung Kim, Sung-il Cho
BMC Public Health.2024;[Epub] CrossRef
Estimation of the Effectiveness of a Tighter, Reinforced Quarantine for the Coronavirus Disease 2019 (COVID-19) Outbreak: Analysis of the Third Wave in South Korea
Marn Joon Park, Ji Ho Choi, Jae Hoon Cho
Journal of Personalized Medicine.2023; 13(3): 402. CrossRef

Crossover Food Businesses in Louisiana, United States: A Descriptive Study of Their Characteristics and Food Safety Training Needs From Public Health Inspectors’ Perspective: Wenqing Xu, Evelyn Watts, Carolyn Bombet, Melissa Cater; J Prev Med Public Health. 2022;55(3):289-296. Published online May 20, 2022; DOI: https://doi.org/10.3961/jpmph.22.013

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Abstract PDF

Objectives
Integrating retail and manufacturing enables limitless potential for food businesses, but also creates challenges for navigating within complex food safety regulations. From public health inspectors’ (PHIs) perspective, this study aimed (1) to describe the characteristics of crossover businesses in Louisiana, and (2) to evaluate regulation awareness and food safety education needs for business owners and PHIs who inspect crossover businesses.
Methods
A self-administered questionnaire was administered to Louisiana Department of Health PHIs using Qualtrics®. A descriptive analysis was performed, focusing on the frequency of each item.
Results
In total, 1774 retailers were conducting or planned to conduct specialized processes, while 552 food manufacturers were performing or planned to perform retail functions. Reduced oxygen packaging, the use of additives such as vinegar as a method of preservation, and smoking food as a method of preservation were observed by 62%, 36%, and 35% of the PHIs, respectively. The PHIs perceived crossover businesses as “not aware” or “somewhat aware” of the food safety regulations. The current food safety training level for these businesses was reported to range from “no training” to “some training but not sufficient.” When asked for a self-assessment, the majority of PHIs reported themselves as being “familiar” with the variance requirement for specialized processing. Their confidence in inspecting crossover businesses, however, leaned towards “not confident” or “somewhat confident.”
Conclusions
To better guard public health, food safety training is needed for crossover food business owners, as well as PHIs, on regulations and conducting or inspecting specialized processes.

Summary

Citations

Citations to this article as recorded by

Food is Medicine Initiative for Mitigating Food Insecurity in the United States
Vidya Sharma, Ramaswamy Sharma
Journal of Preventive Medicine and Public Health.2024; 57(2): 96. CrossRef

A Regionalization Model to Increase Equity of Access to Maternal and Neonatal Care Services in Iran: Zahra Mohammadi Daniali, Mohammad Mehdi Sepehri, Farzad Movahedi Sobhani, Mohammad Heidarzadeh; J Prev Med Public Health. 2022;55(1):49-59. Published online December 28, 2021; DOI: https://doi.org/10.3961/jpmph.21.401

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Abstract PDF Supplementary Material

Objectives
Access to maternal and neonatal care services (MNCS) is an important goal of health policy in developing countries. In this study, we proposed a 3-level hierarchical location-allocation model to maximize the coverage of MNCS providers in Iran.
Methods
First, the necessary criteria for designing an MNCS network were explored. Birth data, including gestational age and birth weight, were collected from the data bank of the Iranian Maternal and Neonatal Network national registry based on 3 service levels (I, II, and III). Vehicular travel times between the points of demand and MNCS providers were considered. Alternative MNCS were mapped in some cities to reduce access difficulties.
Results
It was found that 130, 121, and 86 MNCS providers were needed to respond to level I, II, and III demands, respectively, in 373 cities. Service level III was not available in 39 cities within the determined travel time, which led to an increased average travel time of 173 minutes to the nearest MNCS provider.
Conclusions
This study revealed inequalities in the distribution of MNCS providers. Management of the distribution of MNCS providers can be used to enhance spatial access to health services and reduce the risk of neonatal mortality and morbidity. This method may provide a sustainable healthcare solution at the policy and decision-making level for regional, or even universal, healthcare networks.

Summary

Citations

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Global burden and inequality of maternal and neonatal disorders: based on data from the 2019 Global Burden of Disease study
R Peng, Y Tong, M Yang, J Wang, L Yang, J Zhu, Yu Liu, H Wang, Z Shi, Ya Liu
QJM: An International Journal of Medicine.2024; 117(1): 24. CrossRef
Epidemiology and Clinical Features of COVID-19 among 4,015 Neonates in Iran: Results of the National Study from the Iranian Maternal and Neonatal Network
David A. Schwartz, Parisa Mohagheghi, Fereshteh Moshfegh, Nazanin Zafaranloo, Narjes Khalili, Mohammad Heidarzadeh, Abbas Habibelahi, Roya Ghafoury, Fatemeh Afrashteh
American Journal of Perinatology.2023;[Epub] CrossRef
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João Flávio de Freitas Almeida, Samuel Vieira Conceição, Virgínia Silva Magalhães
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Socio-demographic Determinants of Low Physical Activity in Peruvian Adults: Results of a Population-based Survey Performed in 2017-2018: Akram Hernández-Vásquez, Rodrigo Vargas-Fernández; J Prev Med Public Health. 2021;54(6):461-470. Published online November 7, 2021; DOI: https://doi.org/10.3961/jpmph.21.418

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Abstract PDF

Objectives
The objective of this study was to determine the prevalence of low physical activity (PA) in Peruvian adults and to identify associated factors.
Methods
An analytical study was performed using data from the 2017-2018 Nutritional Food Surveillance by Life Stages survey. The outcome variable was low PA (yes or no), assessed using the International Physical Activity Questionnaire-short form. Prevalence ratios were estimated as a measure of association.
Results
Among the 1045 persons included in the analysis, the age-standardized prevalence of low PA was 61.9%. The adjusted model showed that being female and migrating from a rural to an urban area in the last 5 years were associated with a higher probability of having low PA than males and individuals who had not migrated, while residing in rural highlands and jungle areas was associated with a reduced probability of having low PA compared to people residing in other geographic domains.
Conclusions
Being a female and migration from a rural to an urban area in the last 5 years were associated with a higher likelihood of having low PA. Therefore, promotion and prevention strategies related to PA are required, especially in the female and migrant populations.

Summary

Citations

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Individualized Biological Age as a Predictor of Disease: Korean Genome and Epidemiology Study (KoGES) Cohort
Seokyung An, Choonghyun Ahn, Sungji Moon, Eun Ji Sim, Sue-Kyung Park
Journal of Personalized Medicine.2022; 12(3): 505. CrossRef
Association between Altitude and the Framingham Risk Score: A Cross-Sectional Study in the Peruvian Adult Population
Akram Hernández-Vásquez, Rodrigo Vargas-Fernández, Manuel Chacón-Diaz
International Journal of Environmental Research and Public Health.2022; 19(7): 3838. CrossRef
Prevalence of Prehypertension and Associated Cardiovascular Risk Profiles among Adults in Peru: Findings from a Nationwide Population-Based Study
Akram Hernández-Vásquez, Rodrigo Vargas-Fernández
International Journal of Environmental Research and Public Health.2022; 19(13): 7867. CrossRef

Systematic Review

A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea: Han Geul Byun, Naae Lee, Seung-sik Hwang; J Prev Med Public Health. 2021;54(5):301-308. Published online August 26, 2021; DOI: https://doi.org/10.3961/jpmph.21.160

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Abstract Summary PDF Supplementary Material

Objectives
Despite its advantages, it is not yet common practice in Korea for researchers to investigate disease associations using spatio-temporal analyses. In this study, we aimed to review health-related epidemiological research using spatio-temporal analyses and to observe methodological trends.
Methods
Health-related studies that applied spatial or spatio-temporal methods were identified using 2 international databases (PubMed and Embase) and 4 Korean academic databases (KoreaMed, NDSL, DBpia, and RISS). Two reviewers extracted data to review the included studies. A search for relevant keywords yielded 5919 studies.
Results
Of the studies that were initially found, 150 were ultimately included based on the eligibility criteria. In terms of the research topic, 5 categories with 11 subcategories were identified: chronic diseases (n=31, 20.7%), infectious diseases (n=27, 18.0%), health-related topics (including service utilization, equity, and behavior) (n=47, 31.3%), mental health (n=15, 10.0%), and cancer (n=7, 4.7%). Compared to the period between 2000 and 2010, more studies published between 2011 and 2020 were found to use 2 or more spatial analysis techniques (35.6% of included studies), and the number of studies on mapping increased 6-fold.
Conclusions
Further spatio-temporal analysis-related studies with point data are needed to provide insights and evidence to support policy decision-making for the prevention and control of infectious and chronic diseases using advances in spatial techniques.

Summary

Korean summary
본 연구는 국내 시공간 분석을 활용한 역학연구를 체계적 문헌고찰을 통해 검토하였다. 의료이용, 형평성, 건강행동 관련 주제가 가장 많았고, 두 가지 이상의 공간분석 기법을 적용한 사례가 늘었으며, 단순 지도화를 적용한 연구가 가장 많았다. 향후 시공간 분석 결과를 이용해 질병 예방과 관리 정책에 적극적으로 활용할 필요가 있다.

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Special Article

Trends of the Global Hepatitis C Disease Burden: Strategies to Achieve Elimination: Nathalie Brunner, Philip Bruggmann; J Prev Med Public Health. 2021;54(4):251-258. Published online June 24, 2021; DOI: https://doi.org/10.3961/jpmph.21.151

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Abstract PDF

Hepatitis C infection is responsible for high morbidity and mortality rates globally as well as for significant indirect costs. The disease burden caused by the hepatitis C virus (HCV) is comparable to the one caused by human immunodeficiency virus or tuberculosis. Today, simple detection methods, highly effective and easy to administer therapies and efficient preventative measures are available to combat hepatitis C. Nevertheless, in most countries around the world, the World Health Organization target of eliminating this infectious disease and its consequences by 2030 are not being met. Significant gaps in care for hepatitis C sufferers still exist, the shortcomings ranging from education and treatment to aftercare. Hepatitis C infection was and still is not on the radar of most politicians and health authorities. National programmes and strategies to combat the disease exist or are being developed in many countries. However, for these to be implemented efficiently and successfully, clear political commitment, strong civil society actors, well-functioning public health structures and the relevant support from global donors are needed.

Summary

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COVID-19: Original Article

Associations Between Compliance With Non-pharmaceutical Interventions and Social-distancing Policies in Korea During the COVID-19 Pandemic: Yu Seong Hwang, Heui Sug Jo; J Prev Med Public Health. 2021;54(4):230-237. Published online June 16, 2021; DOI: https://doi.org/10.3961/jpmph.21.139

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Abstract Summary PDF Supplementary Material

Objectives
This study explored changes in individuals’ behavior in response to social distancing (SD) levels and the “no gatherings of more than 5 people” (NGM5) rule in Korea during the coronavirus disease 2019 (COVID-19) pandemic.
Methods
Using survey data from the COVID-19 Behavior Tracker, exploratory factor analysis extracted 3 preventive factors: maintenance of personal hygiene, avoiding going out, and avoiding meeting people. Each factor was used as a dependent variable. The chi-square test was used to compare differences in distributions between categorical variables, while binary logistic regression was performed to identify factors associated with high compliance with measures to prevent transmission.
Results
In men, all 3 factors were significantly associated with lower compliance. Younger age groups were associated with lower compliance with maintenance of personal hygiene and avoiding meeting people. Employment status was significantly associated with avoiding going out and avoiding meeting people. Residence in the capital area was significantly associated with higher compliance with personal hygiene and avoiding venturing out. Increasing SD levels were associated with personal hygiene, avoiding going out, and avoiding meeting people. The NGM5 policy was not significantly associated with compliance.
Conclusions
SD levels, gender, age, employment status, and region had explanatory power for compliance with non-pharmaceutical interventions (NPIs). Strengthening social campaigns to inspire voluntary compliance with NPIs, especially focused on men, younger people, full-time workers, and residents of the capital area is recommended. Simultaneously, efforts need to be made to segment SD measures into substrategies with detailed guidance at each level.

Summary

Korean summary
이 연구에서는 대한민국 정부가 COVID-19 방역 정책으로 시행한 ‘사회적 거리두기 단계 조절’과 ‘5인 이상 집합 금지 조치’에 대한 개인의 순응도를 파악하였다. 이를 위해 영국 임페리얼 대학이 2020년 4월부터 2021년 4월까지 24회에 걸쳐 한국인 총 13,300명에게 개인 행동을 조사한 공개 데이터를 분석하였다. 그 결과, 더 높은 수준의 사회적 거리두기 단계 – 특히 다중이용시설들이 폐쇄되는 2.5 단계 -에서 비약물적 중재 조치의 순응도와 더 강한 상관관계를 보였다. 그러나 5인 이상 집합금지는 순응도와 유의한 상관관계를 보이지 않아 사람들이 모임 인원을 제한할 뿐 지속적으로 모임을 하는 것으로 해석된다. 연령, 성별, 직업 구분, 거주지와 같은 인구-사회학적 특성들이 순응도에 영향을 주는 것으로 나타났으므로, 낮은 순응도를 보이는 인구집단의 순응도를 고취시킬 수 있도록 세부적인 전략 (예: 재택근무, 온라인회의, 온라인 수업 권장 등)이 필요하다.

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COVID-19: Perspective

Interpretation of the Basic and Effective Reproduction Number: Jun-Sik Lim, Sung-Il Cho, Sukhyun Ryu, Son-Il Pak; J Prev Med Public Health. 2020;53(6):405-408. Published online October 20, 2020; DOI: https://doi.org/10.3961/jpmph.20.288

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Abstract PDF

In epidemiology, the basic reproduction number (R0) is a term that describes the expected number of infections generated by 1 case in a susceptible population. At the beginning of the coronavirus disease 2019 (COVID-19) pandemic, R0 was frequently referenced by the public health community and the wider public. However, this metric is often misused or misinterpreted. Moreover, the complexity of the process of estimating R0 has caused difficulties for a substantial number of researchers. In this article, in order to increase the accessibility of this concept, we address several misconceptions related to the threshold characteristics of R0 and the effective reproduction number (Rt). Moreover, the appropriate interpretation of the metrics is discussed. R0 should be considered as a population-averaged value that pools the contact structure according to a stochastic transmission process. Furthermore, it is necessary to understand the unavoidable time lag for Rt due to the incubation period of the disease.

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Perspective

Yemen’s Cholera Epidemic Is a One Health Issue: Qin Xiang Ng, Michelle Lee Zhi Qing De Deyn, Wayren Loke, Wee Song Yeo; J Prev Med Public Health. 2020;53(4):289-292. Published online June 10, 2020; DOI: https://doi.org/10.3961/jpmph.20.154

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Abstract PDF

Yemen has been faced with the worst cholera epidemic of modern times, with more than 1 million suspected cases and 3000 deaths at the time of writing. This problem is largely due to the longstanding civil war between pro-government forces and the Houthi armed movement, which has severely damaged already vulnerable sanitation and healthcare facilities and systems in the country. It is further compounded by a dire lack of basic amenities, chronic malnutrition, and unfavourable weather conditions. Another contributory component may be aerial transfer by cholera-infected chironomid insects. To contain the spread of cholera in Yemen, a nation-wide armistice should be negotiated, and national and local committees must be convened to coordinate efforts on the ground. Community isolation facilities with proper sanitation, reliable disposal systems, and a clean water supply should be set up to isolate and treat sick patients. The continuity of vaccination programmes should be ensured. Public health campaigns to educate local communities about good hygiene practices and nutrition are also necessary. The One Health paradigm emphasizes a multi-sectoral and transdisciplinary understanding and approach to prevent and mitigate the threat of communicable diseases. This paradigm is highly applicable to the ongoing cholera crisis in Yemen, as it demands a holistic and whole-of-society approach at the local, regional, and national levels. The key stakeholders and warring parties in Yemen must work towards a lasting ceasefire during these trying times, especially given the extra burden from the mounting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak worldwide.

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Thanh Trung Nguyen, Thi Ngan Mai, Sinh Dang-Xuan, Hung Nguyen-Viet, Fred Unger, Hu Suk Lee
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One Health in practice: Benefits and challenges of multisectoral coordination and collaboration in managing public health risks: A meta-analysis
Valentina Thobias Sanga, Esron D. Karimuribo, Abubakar S. Hoza
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Cambridge Prisms: Water.2023;[Epub] CrossRef
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OMICS: A Journal of Integrative Biology.2020; 24(12): 685. CrossRef

COVID-19: Perspective

A Hidden Key to COVID-19 Management in Korea: Public Health Doctors: Sejin Choi; J Prev Med Public Health. 2020;53(3):175-177. Published online April 14, 2020; DOI: https://doi.org/10.3961/jpmph.20.105

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Public health doctors of Korea contributed significantly to massive coronavirus disease 2019 (COVID-19) testing. They were immediately dispatched to epicenters of the COVID-19 pandemic, and have run tests at screening centers, airport quarantines and hospitals. However, their expertise from in-field experience has been often neglected. It is time to reorganize public health doctor system to better prepare for future epidemics. Transforming and strengthening their roles as public health experts through systematic training is crucial.

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Joshua W. Devine, Mina Tadrous, Inmaculada Hernandez, Katherine Callaway Kim, Scott D. Rothenberger, Nandita Mukhopadhyay, Walid F. Gellad, Katie J. Suda
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International Journal of Environmental Research and Public Health.2020; 17(24): 9571. CrossRef

COVID-19: Systematic Review

Estimate of the Basic Reproduction Number for COVID-19: A Systematic Review and Meta-analysis: Yousef Alimohamadi, Maryam Taghdir, Mojtaba Sepandi; J Prev Med Public Health. 2020;53(3):151-157. Published online March 20, 2020; DOI: https://doi.org/10.3961/jpmph.20.076

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Objectives
The outbreak of coronavirus disease 2019 (COVID-19) is one of the main public health challenges currently facing the world. Because of its high transmissibility, COVID-19 has already caused extensive morbidity and mortality in many countries throughout the world. An accurate estimation of the basic reproduction number (R₀) of COVID-19 would be beneficial for prevention programs. In light of discrepancies in original research on this issue, this systematic review and meta-analysis aimed to estimate the pooled R₀ for COVID-19 in the current outbreak.
Methods
International databases (including Google Scholar, Science Direct, PubMed, and Scopus) were searched to identify studies conducted regarding the R₀ of COVID-19. Articles were searched using the following keywords: “COVID-19” and “basic reproduction number” or “R₀.” The heterogeneity among studies was assessed using the I² index, the Cochran Q test, and T². A random-effects model was used to estimate R₀ in this study.
Results
The mean reported R₀ in the identified articles was 3.38±1.40, with a range of 1.90 to 6.49. According to the results of the random-effects model, the pooled R₀ for COVID-19 was estimated as 3.32 (95% confidence interval, 2.81 to 3.82). According to the results of the meta-regression analysis, the type of model used to estimate R₀ did not have a significant effect on heterogeneity among studies (p=0.81).
Conclusions
Considering the estimated R₀ for COVID-19, reducing the number of contacts within the population is a necessary step to control the epidemic. The estimated overall R₀ was higher than the World Health Organization estimate.

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Yu-Yuan Wang, Wei-Wen Zhang, Ze-xi Lu, Jia-lin Sun, Ming-xia Jing
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AJPM Focus.2024; 3(1): 100147. CrossRef
SARS-CoV-2 incidence monitoring and statistical estimation of the basic and time-varying reproduction number at the early onset of the pandemic in 45 sub-Saharan African countries
Michael Safo Oduro, Seth Arhin-Donkor, Louis Asiedu, Damazo T. Kadengye, Samuel Iddi
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Henry Bayly, Madison Stoddard, Debra Van Egeren, Eleanor J Murray, Julia Raifman, Arijit Chakravarty, Laura F White
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Tan Su, Xinhong Zhang, Daqing Jiang
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Fernando Córdova-Lepe, Juan Pablo Gutiérrez-Jara
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Pau Fonseca i Casas, Joan Garcia i Subirana, Victor Garcia i Carrasco
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Rizki Rahim, Andreasta Meliala
Hospital Topics.2023; 101(4): 381. CrossRef
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Jose Robles-Zurita
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Michael P. Muehlenbein, Jeffrey Gassen, Tomasz J. Nowak, Alexandria D. Henderson, Sally P. Weaver, Erich J. Baker
Journal of Community Health.2023; 48(1): 104. CrossRef
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Dali Yi, Xicheng Chen, Haojia Wang, Qiuyue Song, Ling Zhang, Pengpeng Li, Wei Ye, Jia Chen, Fang Li, Dong Yi, Yazhou Wu
Frontiers in Public Health.2023;[Epub] CrossRef
Bounding pandemic spread by heat spread
Teddy Lazebnik, Uri Itai
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Macroeconomic consequences of the COVID-19 pandemic
Terrie Walmsley, Adam Rose, Richard John, Dan Wei, Jakub P. Hlávka, Juan Machado, Katie Byrd
Economic Modelling.2023; 120: 106147. CrossRef
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Suraj Kapoor, Ashvin Varadharajan
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Yousef Alimohamadi, Mojtaba Sepandi
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Highlights in Science, Engineering and Technology.2023; 36: 1386. CrossRef
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IJID Regions.2023; 7: 22. CrossRef
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Giulia Luebben, Gilberto González-Parra, Bishop Cervantes
Mathematical Biosciences and Engineering.2023; 20(6): 10828. CrossRef
A Stochastic Mobility-Driven spatially explicit SEIQRD COVID-19 model with VOCs, seasonality, and vaccines
Tijs W. Alleman, Michiel Rollier, Jenna Vergeynst, Jan M. Baetens
Applied Mathematical Modelling.2023; 123: 507. CrossRef
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Ismail Shah, Eiman, Hussam Alrabaiah, Burhanettin Ozdemir, Ateeq ur Rehman Irshad
Results in Physics.2023; 51: 106700. CrossRef
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David Burg, Jesse H. Ausubel, Rajnesh Lal
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Into Almiala, Henrik Aalto, Vesa Kuikka
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Bethanie Wilkinson, Kinjal S. Patel, Katherine Smith, Robert Walker, Chengbin Wang, Ann M. Greene, Gale Smith, Emily R. Smith, Marc Gurwith, Robert T. Chen
Vaccine.2023; 41(45): 6762. CrossRef
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Journal of Algorithms & Computational Technology.2023;[Epub] CrossRef
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Antonio Scala, Pierpaolo Cavallo, Tiago Pereira
PLOS ONE.2023; 18(9): e0290652. CrossRef
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Wenyan Bian, Yang Yang
DIGITAL HEALTH.2023;[Epub] CrossRef
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Ida Johnsson, M. Hashem Pesaran, Cynthia Fan Yang
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Giuseppe Lippi, Fabian Sanchis-Gomar, Camilla Mattiuzzi, Brandon M. Henry
COVID.2023; 3(10): 1586. CrossRef
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John M. Drake, Andreas Handel, Éric Marty, Eamon B. O’Dea, Tierney O’Sullivan, Giovanni Righi, Andrew T. Tredennick, Gerardo Chowell
PLOS Computational Biology.2023; 19(11): e1011610. CrossRef
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Hussein El Hajj, Douglas R. Bish, Ebru K. Bish, Hrayer Aprahamian
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Ibrahim M. Hezam
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Asian Economic Policy Review.2022; 17(1): 18. CrossRef
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A. Ambrosch, D. Luber, F. Klawonn, M. Kabesch
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Revista Española de Anestesiología y Reanimación.2022; 69(9): 544. CrossRef
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François G. Schmitt
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Infectious Disease Modelling.2022; 7(1): 170. CrossRef
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Frontiers in Public Health.2022;[Epub] CrossRef
Real-time pandemic surveillance using hospital admissions and mobility data
Spencer J. Fox, Michael Lachmann, Mauricio Tec, Remy Pasco, Spencer Woody, Zhanwei Du, Xutong Wang, Tanvi A. Ingle, Emily Javan, Maytal Dahan, Kelly Gaither, Mark E. Escott, Stephen I. Adler, S. Claiborne Johnston, James G. Scott, Lauren Ancel Meyers
Proceedings of the National Academy of Sciences.2022;[Epub] CrossRef
Anxiety Linked to COVID-19: A Systematic Review Comparing Anxiety Rates in Different Populations
Hafsah Saeed, Ardalan Eslami, Najah T. Nassif, Ann M. Simpson, Sara Lal
International Journal of Environmental Research and Public Health.2022; 19(4): 2189. CrossRef
A simple electrical-circuit analogous phenomenological COVID-19 model valid for all observed pandemic phases
J. C. Nolasco, J. T. García, A. Castro-Chacón, A. Castro-Carranza, J. Gutowski
AIP Advances.2022;[Epub] CrossRef
SARS-CoV-2 outbreak in a Canadian suburban tertiary hospital necessitating full facility closure: a descriptive observational study
Jamil N. Kanji, Y.L. Elaine Chan, Lesia R. Boychuk, Curtiss Boyington, Sebora Turay, Melissa Kobelsky, Carolyn Doroshuk, Philana Choo, Susan Jacka, Erin Roberts, Karen Leighton, Stephanie W. Smith, Christopher Sikora, Robert Black
CMAJ Open.2022; 10(1): E137. CrossRef
Local Surveillance of the COVID-19 Outbreak
Caifen Liu, Lingfeng Xu, Yuan Bai, Xiaoke Xu, Eric H. Y. Lau, Benjamin J. Cowling, Zhanwei Du
Frontiers in Physics.2022;[Epub] CrossRef
A review on COVID-19 transmission, epidemiological features, prevention and vaccination
Yuqin Zhang, Gonghua Wu, Shirui Chen, Xu Ju, Wumitijiang Yimaer, Wangjian Zhang, Shao Lin, Yuantao Hao, Jing Gu, Jinghua Li
Medical Review.2022; 2(1): 23. CrossRef
Cost-effectiveness analysis on COVID-19 surveillance strategy of large-scale sports competition
Xuechun Wang, Yiru Cai, Bo Zhang, Xiangyu Zhang, Lianhao Wang, Xiangyu Yan, Mingchen Zhao, Yuan Zhang, Zhongwei Jia
Infectious Diseases of Poverty.2022;[Epub] CrossRef
Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study
Kyungsik Kim, Young-Do Jeung, Jeoungbin Choi, Sue K. Park
Journal of Preventive Medicine and Public Health.2022; 55(2): 144. CrossRef
Perspectives on factors influencing transmission of COVID-19 in Zambia: a qualitative study of health workers and community members
Cephas Sialubanje, Doreen C Sitali, Nawa Mukumbuta, Libonda Liyali, Phyllis Ingutu Sumbwa, Harvey Kakoma Kamboyi, Mary Ng'andu, Fastone Matthew Goma
BMJ Open.2022; 12(4): e057589. CrossRef
Factors Associated With Mortality Among the COVID-19 Patients Treated at Gulu Regional Referral Hospital: A Retrospective Study
Steven Baguma, Christopher Okot, Nelson Onira Alema, Paska Apiyo, Paska Layet, Denis Acullu, Johnson Nyeko Oloya, Denis Ochula, Pamela Atim, Patrick Odong Olwedo, Smart Godfrey Okot, Freddy Wathum Drinkwater Oyat, Janet Oola, Eric Nzirakaindi Ikoona, Judi
Frontiers in Public Health.2022;[Epub] CrossRef
Optimal intervention strategies to mitigate the COVID-19 pandemic effects
Andreas Kasis, Stelios Timotheou, Nima Monshizadeh, Marios Polycarpou
Scientific Reports.2022;[Epub] CrossRef
COVID‐19 infection in an infant with cystic fibrosis: A case report and possible therapeutic effect of hypertonic saline
Seyed Javad Seyedi, Hossein Sadeghi, Hamid‐Reza Kianifar, Abdolkarim Hamedi, Amin Saeidinia
Clinical Case Reports.2022;[Epub] CrossRef
Data analysis and prediction of the COVID-19 outbreak in the first and second waves for top 5 affected countries in the world
Ashabul Hoque, Abdul Malek, K. M. Rukhsad Asif Zaman
Nonlinear Dynamics.2022; 109(1): 77. CrossRef
The influence of gender on COVID-19 infections and mortality in Germany: Insights from age- and gender-specific modeling of contact rates, infections, and deaths in the early phase of the pandemic
Achim Doerre, Gabriele Doblhammer, Siew Ann Cheong
PLOS ONE.2022; 17(5): e0268119. CrossRef
The impact of vaccination against the new coronavirus infection on the morbidity of university students
Sergey A. Sayganov, Anna V. Lubimova, Alexandr V. Meltser, Zakhar V. Lopatin, Olga Yu. Kuznetsova, Olga V. Kovaleva
Russian Family Doctor.2022; 26(1): 21. CrossRef
COVID-19: Clinical features, case fatality, and the effect of symptoms on mortality in hospitalized cases in Iran
Yousef Alimohamadi, Mojtaba Sepandi, Roya Rashti, Homeira Sedighinezhad, Sima Afrashteh
Journal of Taibah University Medical Sciences.2022; 17(5): 725. CrossRef
The Basic Reproduction Number and Delayed Action of T Cells for Patients Infected with SARS-CoV-2
Yingdong Yin, Yupeng Xi, Cheng Xu, Qiwen Sun
Mathematics.2022; 10(12): 2017. CrossRef
Understanding Dynamics of Pandemic Models to Support Predictions of COVID-19 Transmission: Parameter Sensitivity Analysis of SIR-Type Models
Chunfeng Ma, Xin Li, Zebin Zhao, Feng Liu, Kun Zhang, Adan Wu, Xiaowei Nie
IEEE Journal of Biomedical and Health Informatics.2022; 26(6): 2458. CrossRef
Estimating the course of the COVID-19 pandemic in Germany via spline-based hierarchical modelling of death counts
Tobias Wistuba, Andreas Mayr, Christian Staerk
Scientific Reports.2022;[Epub] CrossRef
Adding a reaction-restoration type transmission rate dynamic-law to the basic SEIR COVID-19 model
Fernando Córdova-Lepe, Katia Vogt-Geisse, Fabio A Sanchez
PLOS ONE.2022; 17(6): e0269843. CrossRef
SARS-CoV-2 Risk Quantification Model and Validation Based on Large-Scale Dutch Test Events
Bas Kolen, Laurens Znidarsic, Andreas Voss, Simon Donders, Iris Kamphorst, Maarten van Rijn, Dimitri Bonthuis, Merit Clocquet, Maarten Schram, Rutger Scharloo, Tim Boersma, Tim Stobernack, Pieter van Gelder
International Journal of Environmental Research and Public Health.2022; 19(12): 7238. CrossRef
Testing and isolation to prevent overloaded healthcare facilities and reduce death rates in the SARS-CoV-2 pandemic in Italy
Arnab Bandyopadhyay, Marta Schips, Tanmay Mitra, Sahamoddin Khailaie, Sebastian C. Binder, Michael Meyer-Hermann
Communications Medicine.2022;[Epub] CrossRef
Autoregressive count data modeling on mobility patterns to predict cases of COVID-19 infection
Jing Zhao, Mengjie Han, Zhenwu Wang, Benting Wan
Stochastic Environmental Research and Risk Assessment.2022; 36(12): 4185. CrossRef
Epidemiological investigation of the COVID-19 outbreak in Vellore district in South India using Geographic Information Surveillance (GIS)
Malathi Murugesan, Padmanaban Venkatesan, Senthil Kumar, Premkumar Thangavelu, Winsley Rose, Jacob John, Marx Castro, T. Manivannan, Venkata Raghava Mohan, Priscilla Rupali
International Journal of Infectious Diseases.2022; 122: 669. CrossRef
Burden of hospital-acquired SARS-CoV-2 infections in Germany: occurrence and outcomes of different variants
M. Bonsignore, S. Hohenstein, C. Kodde, J. Leiner, K. Schwegmann, A. Bollmann, R. Möller, R. Kuhlen, I. Nachtigall
Journal of Hospital Infection.2022; 129: 82. CrossRef
Lessons from a pandemic
Yves Eggli, Valentin Rousson, Reuben Kiggundu
PLOS Global Public Health.2022; 2(7): e0000404. CrossRef
Update on COVID-19 and Effectiveness of a Vaccination Campaign in a Global Context
Ioannis Alexandros Charitos, Andrea Ballini, Roberto Lovero, Francesca Castellaneta, Marica Colella, Salvatore Scacco, Stefania Cantore, Roberto Arrigoni, Filiberto Mastrangelo, Mario Dioguardi
International Journal of Environmental Research and Public Health.2022; 19(17): 10712. CrossRef
Overview of the Role of Spatial Factors in Indoor SARS-CoV-2 Transmission: A Space-Based Framework for Assessing the Multi-Route Infection Risk
Qi Zhen, Anxiao Zhang, Qiong Huang, Jing Li, Yiming Du, Qi Zhang
International Journal of Environmental Research and Public Health.2022; 19(17): 11007. CrossRef
Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2
Elise J. Kuylen, Andrea Torneri, Lander Willem, Pieter J. K. Libin, Steven Abrams, Pietro Coletti, Nicolas Franco, Frederik Verelst, Philippe Beutels, Jori Liesenborgs, Niel Hens, Miles P. Davenport
PLOS Computational Biology.2022; 18(8): e1009980. CrossRef
Adjusting non-pharmaceutical interventions based on hospital bed capacity using a multi-operator differential evolution
Victoria May P. Mendoza, Renier Mendoza, Jongmin Lee, Eunok Jung
AIMS Mathematics.2022; 7(11): 19922. CrossRef
Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2
Jana S Huisman, Jérémie Scire, Daniel C Angst, Jinzhou Li, Richard A Neher, Marloes H Maathuis, Sebastian Bonhoeffer, Tanja Stadler
eLife.2022;[Epub] CrossRef
Behavioral responses to risk promote vaccinating high‐contact individuals first
Hazhir Rahmandad
System Dynamics Review.2022; 38(3): 246. CrossRef
Pre-clinical validation of a turbine-based ventilator for invasive ventilation—The ACUTE-19 ventilator
J.M. Alonso-Iñigo, G. Mazzinari, M. Casañ-Pallardó, J.I. Redondo-García, J. Viscasillas-Monteagudo, A. Gutierrez-Bautista, J. Ramirez-Faz, P. Alonso-Pérez, S. Díaz-Lobato, A.S. Neto, O. Diaz-Cambronero, P. Argente-Navarro, M. Gama de Abreu, P. Pelosi, M.J
Revista Española de Anestesiología y Reanimación (English Edition).2022; 69(9): 544. CrossRef
Why COVID-19 modelling of progression and prevention fails to translate to the real-world
Carl J. Heneghan, Tom Jefferson
Advances in Biological Regulation.2022; 86: 100914. CrossRef
The impact of demographic factors on the courseof COVID-19 infection
Karolina Goroszkiewicz, Grażyna Lisowska, Natalia Zięba, Grażyna Stryjewska-Makuch, Kinga Szopińska, Maciej Misiołek
Polski Przegląd Otorynolaryngologiczny.2022; 11(3): 1. CrossRef
COVID-19 cluster size and transmission rates in schools from crowdsourced case reports
Paul Tupper, Shraddha Pai, Caroline Colijn
eLife.2022;[Epub] CrossRef
No magic bullet: Limiting in-school transmission in the face of variable SARS-CoV-2 viral loads
Debra Van Egeren, Madison Stoddard, Abir Malakar, Debayan Ghosh, Antu Acharya, Sk Mainuddin, Biswajit Majumdar, Deborah Luo, Ryan P. Nolan, Diane Joseph-McCarthy, Laura F. White, Natasha S. Hochberg, Saikat Basu, Arijit Chakravarty
Frontiers in Public Health.2022;[Epub] CrossRef
Risk factors for in-hospital mortality among patients with coronavirus-19 in Isfahan City, Iran
Roya Riahi, Marziye Ghasemi, Zahra Montazeri Shatouri, Mojgan Gharipour, Mahboobeh Maghami, Hamid Melali, Ramin Sami, Aminreza Tabatabaei, SayedMohsen Hosseini
Advanced Biomedical Research.2022; 11(1): 121. CrossRef
Comparison of the Basic Reproduction Numbers for COVID-19 through Four Waves of the Pandemic in Vietnam
Ngan Thi Mai, Giang Thi Huong Tran, Anh Huu Dang, Phuong Thi Bich Cao, Trung Thanh Nguyen, Huong Thi Lan Pham, Tra Thi Thu Vu, Hieu Van Dong, Le Thi My Huynh
International Journal of Translational Medicine.2022; 3(1): 1. CrossRef
Estimating the Basic Reproduction Number for the Second Wave of Covid-19 Pandemic in Nigeria
Ashiribo Senapon Wusu, Olusola Aanu Olabanjo, Manuel Mazzara
International Journal of Pure and Applied Mathematics Research.2022; 2(2): 1. CrossRef
COVID-19 and India: what next?
Ramesh Behl, Manit Mishra
Information Discovery and Delivery.2021; 49(3): 250. CrossRef
What the reproductive number R0 can and cannot tell us about COVID-19 dynamics
Clara L. Shaw, David A. Kennedy
Theoretical Population Biology.2021; 137: 2. CrossRef
Ruling out COVID-19 by chest CT at emergency admission when prevalence is low: the prospective, observational SCOUT study
Ulf Teichgräber, Amer Malouhi, Maja Ingwersen, Rotraud Neumann, Marina Reljic, Stefanie Deinhardt-Emmer, Bettina Löffler, Wilhelm Behringer, Jan-Christoph Lewejohann, Andreas Stallmach, Philipp Reuken
Respiratory Research.2021;[Epub] CrossRef
The challenges of containing SARS-CoV-2 via test-trace-and-isolate
Sebastian Contreras, Jonas Dehning, Matthias Loidolt, Johannes Zierenberg, F. Paul Spitzner, Jorge H. Urrea-Quintero, Sebastian B. Mohr, Michael Wilczek, Michael Wibral, Viola Priesemann
Nature Communications.2021;[Epub] CrossRef
A model for COVID-19 with isolation, quarantine and testing as control measures
M.S. Aronna, R. Guglielmi, L.M. Moschen
Epidemics.2021; 34: 100437. CrossRef
Understanding Viral Infection Mechanisms and Patient Symptoms for the Development of COVID-19 Therapeutics
Hyung Muk Choi, Soo Youn Moon, Hyung In Yang, Kyoung Soo Kim
International Journal of Molecular Sciences.2021; 22(4): 1737. CrossRef
Current understanding of the surface contamination and contact transmission of SARS-CoV-2 in healthcare settings
Hosoon Choi, Piyali Chatterjee, John D. Coppin, Julie A. Martel, Munok Hwang, Chetan Jinadatha, Virender K. Sharma
Environmental Chemistry Letters.2021; 19(3): 1935. CrossRef
Impact of climatic, demographic and disease control factors on the transmission dynamics of COVID-19 in large cities worldwide
Soeren Metelmann, Karan Pattni, Liam Brierley, Lisa Cavalerie, Cyril Caminade, Marcus S.C. Blagrove, Joanne Turner, Kieran J. Sharkey, Matthew Baylis
One Health.2021; 12: 100221. CrossRef
Mathematical modelling to inform New Zealand’s COVID-19 response
Shaun Hendy, Nicholas Steyn, Alex James, Michael J. Plank, Kate Hannah, Rachelle N. Binny, Audrey Lustig
Journal of the Royal Society of New Zealand.2021; 51(sup1): S86. CrossRef
Meta-analysis on Serial Intervals and Reproductive Rates for SARS-CoV-2
Mohammad Hussein, Eman Toraih, Rami Elshazli, Manal Fawzy, August Houghton, Danielle Tatum, Mary Killackey, Emad Kandil, Juan Duchesne
Annals of Surgery.2021; 273(3): 416. CrossRef
Genomic epidemiology of a densely sampled COVID-19 outbreak in China
Lily Geidelberg, Olivia Boyd, David Jorgensen, Igor Siveroni, Fabrícia F Nascimento, Robert Johnson, Manon Ragonnet-Cronin, Han Fu, Haowei Wang, Xiaoyue Xi, Wei Chen, Dehui Liu, Yingying Chen, Mengmeng Tian, Wei Tan, Junjie Zai, Wanying Sun, Jiandong Li,
Virus Evolution.2021;[Epub] CrossRef
Estimating the basic reproduction number for COVID-19 in Western Europe
Isabella Locatelli, Bastien Trächsel, Valentin Rousson, Yury E. Khudyakov
PLOS ONE.2021; 16(3): e0248731. CrossRef
The S(E)IR(D) Models of the COVID-19 Epidemic in Korea
Hee-Young Shin
SSRN Electronic Journal .2021;[Epub] CrossRef
Simulation of COVID-19 Propagation Scenarios in the Madrid Metropolitan Area
David E. Singh, Maria-Cristina Marinescu, Miguel Guzmán-Merino, Christian Durán, Concepción Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero
Frontiers in Public Health.2021;[Epub] CrossRef
The SEIR(D) Model of the COVID-19 Epidemic in Korea
Hee-Young Shin
SSRN Electronic Journal .2021;[Epub] CrossRef
Countries with delayed COVID-19 introduction – characteristics, drivers, gaps, and opportunities
Zheng Li, Cynthia Jones, Girum S. Ejigu, Nisha George, Amanda L. Geller, Gregory C. Chang, Alys Adamski, Ledor S. Igboh, Rebecca D. Merrill, Philip Ricks, Sara A. Mirza, Michael Lynch
Globalization and Health.2021;[Epub] CrossRef
Containment efficiency and control strategies for the corona pandemic costs
Claudius Gros, Roser Valenti, Lukas Schneider, Kilian Valenti, Daniel Gros
Scientific Reports.2021;[Epub] CrossRef
A comparison of COVID-19 secondary attack rate in household and close contacts compared to current risk stratification guidelines of the Kerala government
Balram Rathish, Arun Wilson, Sonya Joy
Tropical Doctor.2021; 51(3): 461. CrossRef
Evaluating the effectiveness of measures to control the novel coronavirus disease 2019 in Jilin Province, China
Qinglong Zhao, Yao Wang, Meng Yang, Meina Li, Zeyu Zhao, Xinrong Lu, Bo Shen, Bo Luan, Yifei Zhao, Bonan Cao, Laishun Yao, Benhua Zhao, Yanhua Su, Tianmu Chen
BMC Infectious Diseases.2021;[Epub] CrossRef
Impact of Meteorological Conditions on the Dynamics of the COVID-19 Pandemic in Poland
Bogdan Bochenek, Mateusz Jankowski, Marta Gruszczynska, Grzegorz Nykiel, Maciej Gruszczynski, Adam Jaczewski, Michal Ziemianski, Robert Pyrc, Mariusz Figurski, Jarosław Pinkas
International Journal of Environmental Research and Public Health.2021; 18(8): 3951. CrossRef
Mathematical modeling of spatio-temporal population dynamics and application to epidemic spreading
Stefanie Winkelmann, Johannes Zonker, Christof Schütte, Nataša Djurdjevac Conrad
Mathematical Biosciences.2021; 336: 108619. CrossRef
Novel coronavirus disease 2019 (COVID-19) pandemic: From transmission to control with an interdisciplinary vision
Uttpal Anand, Carlo Cabreros, Joyabrata Mal, Florencio Ballesteros, Mika Sillanpää, Vijay Tripathi, Elza Bontempi
Environmental Research.2021; 197: 111126. CrossRef
Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis
Stephen Wai Hang Kwok, Sai Kumar Vadde, Guanjin Wang
Journal of Medical Internet Research.2021; 23(5): e26953. CrossRef
Modelling the impact of household size distribution on the transmission dynamics of COVID-19
Pengyu Liu, Lisa McQuarrie, Yexuan Song, Caroline Colijn
Journal of The Royal Society Interface.2021;[Epub] CrossRef
Previsione della propagazione di SARS-CoV-2 nello Stato di Amapá, Amazzonia, Brasile, mediante modellazione matematica
Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
Revista Científica Multidisciplinar Núcleo do Conhecimento.2021; : 73. CrossRef
Estimation of Transmission of COVID-19 in Simulated Nursing Homes With Frequent Testing and Immunity-Based Staffing
Inga Holmdahl, Rebecca Kahn, James A. Hay, Caroline O. Buckee, Michael J. Mina
JAMA Network Open.2021; 4(5): e2110071. CrossRef
Estimation of novel coronavirus (COVID‐19) reproduction number and case fatality rate: A systematic review and meta‐analysis
Tanvir Ahammed, Aniqua Anjum, Mohammad Meshbahur Rahman, Najmul Haider, Richard Kock, Md Jamal Uddin
Health Science Reports.2021;[Epub] CrossRef
Modelling the Impact of Robotics on Infectious Spread Among Healthcare Workers
Raul Vicente, Youssef Mohamed, Victor M. Eguíluz, Emal Zemmar, Patrick Bayer, Joseph S. Neimat, Juha Hernesniemi, Bradley J. Nelson, Ajmal Zemmar
Frontiers in Robotics and AI.2021;[Epub] CrossRef
Who complies with coronavirus disease 2019 precautions and who does not?
Róbert Urbán, Orsolya Király, Zsolt Demetrovics
Current Opinion in Psychiatry.2021; 34(4): 363. CrossRef
Gamma irradiation-mediated inactivation of enveloped viruses with conservation of genome integrity: Potential application for SARS-CoV-2 inactivated vaccine development
Fouad A. Abolaban, Fathi M. Djouider
Open Life Sciences.2021; 16(1): 558. CrossRef
COVID-19 herd immunity in the absence of a vaccine: an irresponsible approach
Jade Khalife, Derrick VanGennep
Epidemiology and Health.2021; 43: e2021012. CrossRef
Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19
Vito Janko, Gašper Slapničar, Erik Dovgan, Nina Reščič, Tine Kolenik, Martin Gjoreski, Maj Smerkol, Matjaž Gams, Mitja Luštrek
International Journal of Environmental Research and Public Health.2021; 18(13): 6750. CrossRef
Impact of reduction of susceptibility to SARS-CoV-2 on epidemic dynamics in four early-seeded metropolitan regions
Thomas J. Barrett, Karen C. Patterson, Timothy M. James, Peter Krüger
Scientific Reports.2021;[Epub] CrossRef
Asian-Origin Approved COVID-19 Vaccines and Current Status of COVID-19 Vaccination Program in Asia: A Critical Analysis
Chiranjib Chakraborty, Ashish Ranjan Sharma, Manojit Bhattacharya, Govindasamy Agoramoorthy, Sang-Soo Lee
Vaccines.2021; 9(6): 600. CrossRef
Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations
Jordan Douglas, Fábio K Mendes, Remco Bouckaert, Dong Xie, Cinthy L Jiménez-Silva, Christiaan Swanepoel, Joep de Ligt, Xiaoyun Ren, Matt Storey, James Hadfield, Colin R Simpson, Jemma L Geoghegan, Alexei J Drummond, David Welch
Virus Evolution.2021;[Epub] CrossRef
The current reproduction number of COVID-19 in Saudi Arabia: is the disease controlled?
Theeb Ayedh Alkahtani, Abdullah Alakeel, Reem Abdullah Alakeel, Faten Abdulrahman Khorshid, Hisham Hamoud Alshammari, Abdullah M. Alguwaihes, Mohammad Almohideb, Eman Merghani Ali, May Bin-Jumah, Mohamed M. Abdel-Daim, Anwar Ali Jammah
Environmental Science and Pollution Research.2021; 28(33): 44812. CrossRef
Beyond the new normal: Assessing the feasibility of vaccine-based suppression of SARS-CoV-2
Madison Stoddard, Sharanya Sarkar, Lin Yuan, Ryan P. Nolan, Douglas E. White, Laura F. White, Natasha S. Hochberg, Arijit Chakravarty, Muhammad Adrish
PLOS ONE.2021; 16(7): e0254734. CrossRef
A multi-stage SEIR(D) model of the COVID-19 epidemic in Korea
Hee-Young Shin
Annals of Medicine.2021; 53(1): 1160. CrossRef
A novel geo-hierarchical population mobility model for spatial spreading of resurgent epidemics
Alexandru Topîrceanu, Radu-Emil Precup
Scientific Reports.2021;[Epub] CrossRef
THE EFFECT OF COVID 19 FEAR ON QUALITY OF LIFE IN HEMODIALYSIS PATIENTS: A CORRELATION STUDY IN TURKEY
Ayşe Gül PARLAK, Zümrüt AKGÜN ŞAHİN
Samsun Sağlık Bilimleri Dergisi.2021; 6(2): 367. CrossRef
Is compulsory home quarantine less effective than centralized quarantine in controlling the COVID-19 outbreak? Evidence from Hong Kong
Pengyu Zhu, Xinying Tan
Sustainable Cities and Society.2021; 74: 103222. CrossRef
Rates of SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant strains
Simon A. Rella, Yuliya A. Kulikova, Emmanouil T. Dermitzakis, Fyodor A. Kondrashov
Scientific Reports.2021;[Epub] CrossRef
Non-adherence to preventive behaviours during the COVID-19 epidemic: findings from a community study
Róbert Urbán, Borbála Paksi, Ádám Miklósi, John B. Saunders, Zsolt Demetrovics
BMC Public Health.2021;[Epub] CrossRef
Prognostic value of neutrophil‐to‐lymphocyte ratio in COVID‐19 patients: A systematic review and meta‐analysis
Juan R. Ulloque‐Badaracco, W. Ivan Salas‐Tello, Ali Al‐kassab‐Córdova, Esteban A. Alarcón‐Braga, Vicente A. Benites‐Zapata, Jorge L. Maguiña, Adrian V. Hernandez
International Journal of Clinical Practice.2021;[Epub] CrossRef
Determinants of COVID-19 vaccine acceptance and hesitancy: a cross-sectional study in Saudi Arabia
Amar Ibrahim Omer Yahia, Abdullah Mohammed Alshahrani, Wael Gabir H. Alsulmi, Mohammed Mesfer M. Alqarni, Tamim Khalid Abdullah Abdulrahim, Waleed Faya H Heba, Turki Ayidh A. Alqarni, Khalid Ali Z Alharthi, Abdullah Ali A. Buhran
Human Vaccines & Immunotherapeutics.2021; 17(11): 4015. CrossRef
Modeling coupling dynamics between the transmission, intervention of COVID-19 and economic development
Zhaowang Zhang, Lingming Kong, Hualiang Lin, Guanghu Zhu
Results in Physics.2021; 28: 104632. CrossRef
Vaccines and variants: Modelling insights into emerging issues in COVID-19 epidemiology
Jamie M. Caldwell, Xuan Le, Lorin McIntosh, Michael T. Meehan, Samson Ogunlade, Romain Ragonnet, Genevieve K. O'Neill, James M. Trauer, Emma S. McBryde
Paediatric Respiratory Reviews.2021; 39: 32. CrossRef
Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 to Close Contacts, China, January–February 2020
Yu Li, Jianhua Liu, Zhongcheng Yang, Jianxing Yu, Chengzhong Xu, Aiqin Zhu, Hao Zhang, Xiaokun Yang, Xin Zhao, Minrui Ren, Zhili Li, Jinzhao Cui, Hongting Zhao, Xiang Ren, Chengxi Sun, Ying Cheng, Qiulan Chen, Zhaorui Chang, Junling Sun, Lance E. Rodewald
Emerging Infectious Diseases.2021; 27(9): 2288. CrossRef
Living with COVID-19: The road ahead
Wycliffe Enli Wei, Wei Keat Tan, Alex Richard Cook, Li Yang Hsu, Yik Ying Teo, Vernon Jian Ming Lee
Annals of the Academy of Medicine, Singapore.2021; 50(8): 619. CrossRef
“Mass gathering events and COVID-19 transmission in Borriana (Spain): A retrospective cohort study”
Salvador Domènech-Montoliu, Maria Rosario Pac-Sa, Paula Vidal-Utrillas, Marta Latorre-Poveda, Alba Del Rio-González, Sara Ferrando-Rubert, Gema Ferrer-Abad, Manuel Sánchez-Urbano, Laura Aparisi-Esteve, Gema Badenes-Marques, Belén Cervera-Ferrer, Ursula Cl
PLOS ONE.2021; 16(8): e0256747. CrossRef
Effective vaccine allocation strategies, balancing economy with infection control against COVID-19 in Japan
Satoshi Sunohara, Toshiaki Asakura, Takashi Kimura, Shun Ozawa, Satoshi Oshima, Daigo Yamauchi, Akiko Tamakoshi, Martial L. Ndeffo Mbah
PLOS ONE.2021; 16(9): e0257107. CrossRef
THE “FLU SEASONS” AND THE MISSING DATA: A MATCHED-PAIR ANALYSIS FOR THE PANDEMIC SEASON 2019_2020
Vincent Kay Lo Ip
International Journal of Research -GRANTHAALAYAH.2021; 9(8): 268. CrossRef
A simple model for control of COVID-19 infections on an urban campus
Robert A. Brown
Proceedings of the National Academy of Sciences.2021;[Epub] CrossRef
Clinical Characteristics and CT Imaging Features of COVID-19 on Admission: A Retrospective Study
Changchun Liu, Jianping Cai, Mengmeng Zhang, Huizhen Li, Chunyan Liu, Jian Dong, Jinghui Dong
Current Medical Imaging Formerly Current Medical Imaging Reviews.2021; 17(11): 1324. CrossRef
Network models to evaluate vaccine strategies towards herd immunity in COVID-19
Josephine N.A. Tetteh, Van Kinh Nguyen, Esteban A. Hernandez-Vargas
Journal of Theoretical Biology.2021; 531: 110894. CrossRef
Examining SARS-CoV-2 Interventions in Residential Colleges Using an Empirical Network
Hali L. Hambridge, Rebecca Kahn, Jukka-Pekka Onnela
International Journal of Infectious Diseases.2021; 113: 325. CrossRef
Immunization using a heterogeneous geo-spatial population model: A qualitative perspective on COVID-19 vaccination strategies
Alexandru Topîrceanu
Procedia Computer Science.2021; 192: 2095. CrossRef
Epidemiological characterization of COVID-19 – Pune, 2020-2021
SumitD Bhardwaj, ManoharLal Choudhary, YogeshK Gurav, Priya Abraham, VarshaA Potdar
Indian Journal of Medical Research.2021; 153(5): 542. CrossRef
Synergistic interventions to control COVID-19: Mass testing and isolation mitigates reliance on distancing
Emily Howerton, Matthew J. Ferrari, Ottar N. Bjørnstad, Tiffany L. Bogich, Rebecca K. Borchering, Chris P. Jewell, James D. Nichols, William J. M. Probert, Michael C. Runge, Michael J. Tildesley, Cécile Viboud, Katriona Shea, Jennifer A. Flegg
PLOS Computational Biology.2021; 17(10): e1009518. CrossRef
Low case numbers enable long-term stable pandemic control without lockdowns
Sebastian Contreras, Jonas Dehning, Sebastian B. Mohr, Simon Bauer, F. Paul Spitzner, Viola Priesemann
Science Advances.2021;[Epub] CrossRef
Rapid relaxation of pandemic restrictions after vaccine rollout favors growth of SARS-CoV-2 variants: A model-based analysis
Debra Van Egeren, Madison Stoddard, Alexander Novokhodko, Michael S. Rogers, Diane Joseph-McCarthy, Bruce Zetter, Arijit Chakravarty, Martial L Ndeffo Mbah
PLOS ONE.2021; 16(11): e0258997. CrossRef
Stability, Bifurcation, and a Pair of Conserved Quantities in a Simple Epidemic System with Reinfection for the Spread of Diseases Caused by Coronaviruses
Jorge Fernando Camacho, Cruz Vargas-De-León, Hassan A. El Morshedy
Discrete Dynamics in Nature and Society.2021; 2021: 1. CrossRef
Knowledge, Awareness, and Practices (KAP) towards COVID-19 among the marine fishers of Maharashtra State of India: An online cross-sectional Analysis
Suhas Wasave, Sangita Wasave, Ketankumar Chaudhari, Prakash Shingare, Bharat Yadav, Sandesh Patil, Bhalchandra Naik, Amitava Mukherjee
PLOS ONE.2021; 16(12): e0261055. CrossRef
Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2
Matthieu Domenech de Cellès, Jean-Sebastien Casalegno, Bruno Lina, Lulla Opatowski
PeerJ.2021; 9: e12566. CrossRef
Ruling Out COVID-19 by Chest CT at Emergency Admission to Prevent In-Hospital Spread When Prevalence is Low – The Prospective, Observational SCOUT Study
Ulf Karl-Martin Teichgräber, Amer Malouhi, Maja Ingwersen, Rotraud Neumann, Marina Reljic, Stefanie Deinhardt-Emmer, Bettina Löffler, Wilhelm Behringer, Jan-Christoph Lewejohann, Andreas Stallmach, Philipp A. Reuken
SSRN Electronic Journal .2021;[Epub] CrossRef
Analysis and forecast of COVID-19 in India, USA and Italy - an application of ARIMA Model
Elbin Siby, Maria Joseph, Aneena Thankachan, K. K. Jose
Biometrics & Biostatistics International Journal.2021; 10(2): 75. CrossRef
Epidemiological characteristics of coronavirus disease 2019 (COVID-19) patients in IRAN: A single center study
Mohamad Nikpouraghdam, Alireza Jalali Farahani, GholamHossein Alishiri, Soleyman Heydari, Mehdi Ebrahimnia, Hossein Samadinia, Mojtaba Sepandi, Nematollah Jonaidi Jafari, Morteza Izadi, Ali Qazvini, Ruhollah Dorostkar, Mahdi Tat, Alireza Shahriary, Gholam
Journal of Clinical Virology.2020; 127: 104378. CrossRef
Preventing major outbreaks of COVID-19 in jails
Justin T Okano, Sally Blower
The Lancet.2020; 395(10236): 1542. CrossRef
Predição da propagação do SARS-CoV-2 no Estado do Amapá, Amazônia, Brasil, por modelagem matemática
Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73. CrossRef
Prediction of the propagation of SARS-CoV-2 in Amapá State, Amazon Region, Brazil, by mathematical modeling
Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73. CrossRef
Price of Delay in Covid-19 Lockdowns: Delays Spike Total Cases, Natural Experiments Reveal
Gerard J. Tellis, Ashish Sood, Nitish Sood
SSRN Electronic Journal .2020;[Epub] CrossRef
Managing the R0 of COVID‐19: mathematics fights back
J. J. Pandit
Anaesthesia.2020; 75(12): 1643. CrossRef
Estimating COVID-19 outbreak risk through air travel
Yair Daon, Robin N Thompson, Uri Obolski
Journal of Travel Medicine.2020;[Epub] CrossRef
Decrease in Ambient Fine Particulate Matter during COVID-19 Crisis and Corresponding Health Benefits in Seoul, Korea
Changwoo Han, Yun-Chul Hong
International Journal of Environmental Research and Public Health.2020; 17(15): 5279. CrossRef
“Tomorrow Never Dies”: Recent Advances in Diagnosis, Treatment, and Prevention Modalities against Coronavirus (COVID-19) amid Controversies
Partha Laskar, Murali M. Yallapu, Subhash C. Chauhan
Diseases.2020; 8(3): 30. CrossRef
Years of Life Lost Attributable to COVID-19 in High-incidence Countries
In-Hwan Oh, Minsu Ock, Su Yeon Jang, Dun-Sol Go, Young-Eun Kim, Yoon-Sun Jung, Ki Beom Kim, Hyesook Park, Min-Woo Jo, Seok-Jun Yoon
Journal of Korean Medical Science.2020;[Epub] CrossRef
Corona and the climate: a comparison of two emergencies
Kira Vinke, Sabine Gabrysch, Emanuela Paoletti, Johan Rockström, Hans Joachim Schellnhuber
Global Sustainability.2020;[Epub] CrossRef
Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil
Silvano Barbosa de Oliveira, Fabiana Ganem, Wildo Navegantes de Araújo, Jordi Casabona, Mauro Niskier Sanchez, Julio Croda
Revista da Sociedade Brasileira de Medicina Tropical.2020;[Epub] CrossRef
Transmission Dynamics of the COVID-19 Epidemic at the District Level in India: Prospective Observational Study
Suman Saurabh, Mahendra Kumar Verma, Vaishali Gautam, Nitesh Kumar, Akhil Dhanesh Goel, Manoj Kumar Gupta, Pankaj Bhardwaj, Sanjeev Misra
JMIR Public Health and Surveillance.2020; 6(4): e22678. CrossRef
Clinical Characteristics of Critically Ill Patients Infected with COVID-19 in Rasoul Akram Hospital in Iran: A Single Center Study
Poupak Rahimzadeh, Saied Amniati, Reza Farahmandrad, Seyed Hamid Reza Faiz, Setareh Hedayati Emami, Azadeh Habibi
Anesthesiology and Pain Medicine.2020;[Epub] CrossRef
Repeated Testing in SARS-CoV-2 Infection
Giuseppe Lippi, Fabian Sanchis-Gomar, Brandon M. Henry
Mayo Clinic Proceedings.2020; 95(10): 2283. CrossRef
COVID-19 Transmission: Bangladesh Perspective
Masud M A, Md Hamidul Islam, Khondaker A. Mamun, Byul Nim Kim, Sangil Kim
Mathematics.2020; 8(10): 1793. CrossRef
Early management of critically ill patients with COVID‐19
Damián Gutiérrez‐Zarate, Karina Rosas‐Sánchez, Juan Carlos Flores‐Carrillo, Salvador Medrano‐Ahumada, Michel Martínez‐Franco
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Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases
Ka Chun Chong, Wei Cheng, Shi Zhao, Feng Ling, Kirran N. Mohammad, Maggie Wang, Benny CY Zee, Lai Wei, Xi Xiong, Hengyan Liu, Jingxuan Wang, Enfu Chen
PeerJ.2020; 8: e10350. CrossRef
Modelling Excess Mortality in Covid-19-Like Epidemics
Zdzislaw Burda
Entropy.2020; 22(11): 1236. CrossRef
Reproductive number of coronavirus: A systematic review and meta-analysis based on global level evidence
Md. Arif Billah, Md. Mamun Miah, Md. Nuruzzaman Khan, Maria Elena Flacco
PLOS ONE.2020; 15(11): e0242128. CrossRef
Compositional cyber-physical epidemiology of COVID-19
Jin Woo Ro, Nathan Allen, Weiwei Ai, Debi Prasad, Partha S. Roop
Scientific Reports.2020;[Epub] CrossRef
Responsible Communication of Romanian Companies for Ensuring Public Health in a COVID-19 Pandemic Context
Camelia-Daniela Hategan, Ruxandra-Ioana Curea-Pitorac, Vasile-Petru Hategan
International Journal of Environmental Research and Public Health.2020; 17(22): 8526. CrossRef
COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
Frank Schlosser, Benjamin F. Maier, Olivia Jack, David Hinrichs, Adrian Zachariae, Dirk Brockmann
Proceedings of the National Academy of Sciences.2020; 117(52): 32883. CrossRef
Attitudes Toward a Potential SARS-CoV-2 Vaccine
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Annals of Internal Medicine.2020; 173(12): 964. CrossRef
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Knowledge, Perceived Beliefs, and Preventive Behaviors Related to COVID-19 Among Chinese Older Adults: Cross-Sectional Web-Based Survey
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Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73. CrossRef
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Original Articles

‘Pneumonia Weather’: Short-term Effects of Meteorological Factors on Emergency Room Visits Due to Pneumonia in Seoul, Korea: Sangho Sohn, Wonju Cho, Jin A Kim, Alaa Altaluoni, Kwan Hong, Byung Chul Chun; J Prev Med Public Health. 2019;52(2):82-91. Published online February 11, 2019; DOI: https://doi.org/10.3961/jpmph.18.232

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Abstract Summary PDF

Objectives
Many studies have explored the relationship between short-term weather and its health effects (including pneumonia) based on mortality, although both morbidity and mortality pose a substantial burden. In this study, the authors aimed to describe the influence of meteorological factors on the number of emergency room (ER) visits due to pneumonia in Seoul, Korea.
Methods
Daily records of ER visits for pneumonia over a 6-year period (2009-2014) were collected from the National Emergency Department Information System. Corresponding meteorological data were obtained from the National Climate Data Service System. A generalized additive model was used to analyze the effects. The percent change in the relative risk of certain meteorological variables, including pneumonia temperature (defined as the change in average temperature from one day to the next), were estimated for specific age groups.
Results
A total of 217 776 ER visits for pneumonia were identified. The additional risk associated with a 1°C increase in pneumonia temperature above the threshold of 6°C was 1.89 (95% confidence interval [CI], 1.37 to 2.61). Average temperature and diurnal temperature range, representing within-day temperature variance, showed protective effects of 0.07 (95% CI, 0.92 to 0.93) and 0.04 (95% CI, 0.94 to 0.98), respectively. However, in the elderly (65+ years), the effect of pneumonia temperature was inconclusive, and the directionality of the effects of average temperature and diurnal temperature range differed.
Conclusions
The term ‘pneumonia temperature’ is valid. Pneumonia temperature was associated with an increased risk of ER visits for pneumonia, while warm average temperatures and large diurnal temperature ranges showed protective effects.

Summary

Korean summary
본 연구에서는 기온 등 다양한 기상요인의 건강영향을 나타내는 표현 중 하나로 알려진 'pneumonia weather'가 역학적으로 가진 의미를 파악하고자 하였다. 이를 위해 국가응급진료정보망의 폐렴 진료기록과 기상자료개방포털 일기자료를 일반화가법모형을 이용해 분석하였다. 그 결과 pneumonia weather는 연속된 양일간 평균기온의 차이를 의미하며, 일정 수준 이상의 일간 기온차는 단기간 이후 폐렴으로 인한 응급실 내원 위험을 증가시킨다는 사실을 확인하였다.

Citations

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High Level Physical Activity and Prevalence of Cardiovascular Disease Using the Korea National Health and Nutrition Examination Survey Data, 2007-2013: Kyounghoon Park, Byung-Joo Park; J Prev Med Public Health. 2017;50(5):320-327. Published online September 5, 2017; DOI: https://doi.org/10.3961/jpmph.17.073

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Abstract PDF

Objectives
The purpose of our study was to evaluate the association between the intensity of physical activity (PA) and prevalence of cardiovascular disease (CVD) using Korean representative data. Methods: We analyzed 39 804 participant data from the Korea National Health and Nutrition Examination Survey, 2007-2013. Exposure variable was three levels of PA (low, medium, and high) in a week, and outcome variable was prevalence of CVD based on patient self-recognition and doctor’s diagnosis. Complex logistic regression analysis was performed to evaluate the relationship between level of PA and CVD adjusted by body mass index, hypertension, hypercholesterolemia, diabetes mellitus, stress recognition, household income, smoking, and current drinking. The indices of association w ere estimated as crude prevalence odds ratio (POR), adjusted POR, and their 95% confidence interval (CI). All statistical analyzes were performed using complex sample analysis procedure of the SPSS version 23.0. Results: When all variables were adjusted, only high level PA in women showed a significant association with stroke (adjusted POR by patient’s self-recognition, 0.57; 95% CI, 0.32 to 0.99, adjusted POR by doctor’s diagnosis, 0.55; 95% CI, 0.34 to 0.87) and CVD (adjusted POR by doctor’s diagnosis, 0.68; 95% CI, 0.48 to 0.96). Conclusions: High level PA in women has a significant reverse association with prevalence of stroke and CVD in Korea. Further study for elucidating the mechanism will be needed.

Summary

Citations

Citations to this article as recorded by

Role of regular physical activity in modifying cardiovascular disease risk factors among elderly Korean women
Seunghui Baek, Youngmee Kim, Lorraine S. Evangelista
IJASS(International Journal of Applied Sports Scie.2018; 30(1): 20. CrossRef

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