Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate
COVID-19; disease incidence; epidemic; health policy; infectious disease; policy implementation; socioeconomic status; vaccination; air conditioning; coronavirus disease 2019; COVID-19 testing; host; human; infection rate; infection risk; meteorological phenomena; nonhuman; prediction; Review; Sever...
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2023
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my.uniten.dspace-267192023-05-29T17:36:19Z Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate Tang S.G.H. Hadi M.H.H. Arsad S.R. Ker P.J. Ramanathan S. Afandi N.A.M. Afzal M.M. Yaw M.W. Krishnan P.S. Chen C.P. Tiong S.K. 57853430300 57320193500 56460195700 37461740800 57945449300 57945449400 57945449500 54584659100 36053261400 57945519600 15128307800 COVID-19; disease incidence; epidemic; health policy; infectious disease; policy implementation; socioeconomic status; vaccination; air conditioning; coronavirus disease 2019; COVID-19 testing; host; human; infection rate; infection risk; meteorological phenomena; nonhuman; prediction; Review; Severe acute respiratory syndrome coronavirus 2; social distancing; socioeconomics; vaccination; diagnosis; epidemiology; mask; COVID-19; COVID-19 Testing; Humans; Masks; SARS-CoV-2 Since the year 2020, coronavirus disease 2019 (COVID-19) has emerged as the dominant topic of discussion in the public and research domains. Intensive research has been carried out on several aspects of COVID-19, including vaccines, its transmission mechanism, detection of COVID-19 infection, and its infection rate and factors. The awareness of the public related to the COVID-19 infection factors enables the public to adhere to the standard operating procedures, while a full elucidation on the correlation of different factors to the infection rate facilitates effective measures to minimize the risk of COVID-19 infection by policy makers and enforcers. Hence, this paper aims to provide a comprehensive and analytical review of different factors affecting the COVID-19 infection rate. Furthermore, this review analyses factors which directly and indirectly affect the COVID-19 infection risk, such as physical distance, ventilation, face masks, meteorological factor, socioeconomic factor, vaccination, host factor, SARS-CoV-2 variants, and the availability of COVID-19 testing. Critical analysis was performed for the different factors by providing quantitative and qualitative studies. Lastly, the challenges of correlating each infection risk factor to the predicted risk of COVID-19 infection are discussed, and recommendations for further research works and interventions are outlined. � 2022 by the authors. Final 2023-05-29T09:36:19Z 2023-05-29T09:36:19Z 2022 Review 10.3390/ijerph192012997 2-s2.0-85140814941 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140814941&doi=10.3390%2fijerph192012997&partnerID=40&md5=7b406866cdeec75912ca47457da21556 https://irepository.uniten.edu.my/handle/123456789/26719 19 20 12997 All Open Access, Gold, Green MDPI Scopus |
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COVID-19; disease incidence; epidemic; health policy; infectious disease; policy implementation; socioeconomic status; vaccination; air conditioning; coronavirus disease 2019; COVID-19 testing; host; human; infection rate; infection risk; meteorological phenomena; nonhuman; prediction; Review; Severe acute respiratory syndrome coronavirus 2; social distancing; socioeconomics; vaccination; diagnosis; epidemiology; mask; COVID-19; COVID-19 Testing; Humans; Masks; SARS-CoV-2 |
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57853430300 |
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57853430300 Tang S.G.H. Hadi M.H.H. Arsad S.R. Ker P.J. Ramanathan S. Afandi N.A.M. Afzal M.M. Yaw M.W. Krishnan P.S. Chen C.P. Tiong S.K. |
| format |
Review |
| author |
Tang S.G.H. Hadi M.H.H. Arsad S.R. Ker P.J. Ramanathan S. Afandi N.A.M. Afzal M.M. Yaw M.W. Krishnan P.S. Chen C.P. Tiong S.K. |
| spellingShingle |
Tang S.G.H. Hadi M.H.H. Arsad S.R. Ker P.J. Ramanathan S. Afandi N.A.M. Afzal M.M. Yaw M.W. Krishnan P.S. Chen C.P. Tiong S.K. Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate |
| author_sort |
Tang S.G.H. |
| title |
Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate |
| title_short |
Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate |
| title_full |
Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate |
| title_fullStr |
Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate |
| title_full_unstemmed |
Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate |
| title_sort |
prerequisite for covid-19 prediction: a review on factors affecting the infection rate |
| publisher |
MDPI |
| publishDate |
2023 |
| _version_ |
1806427839131549696 |
| score |
13.211869 |