Understanding COVID-19 transmission, health impacts and mitigation: timely social distancing is the key

Satinder Kaur, Hemant Bherwani (), Sunil Gulia, Ritesh Vijay and Rakesh Kumar
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Satinder Kaur: CSIR-National Environmental Engineering Research Institute
Hemant Bherwani: CSIR-National Environmental Engineering Research Institute
Sunil Gulia: CSIR-National Environmental Engineering Research Institute
Ritesh Vijay: CSIR-National Environmental Engineering Research Institute
Rakesh Kumar: CSIR-National Environmental Engineering Research Institute

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2021, vol. 23, issue 5, No 7, 6697 pages

Abstract: Abstract COVID-19 is a highly infectious disease caused by SARS-CoV-2, first identified in China and spread globally, resulting into pandemic. Transmission of virus takes place either directly through close contact with infected individual (symptomatic/asymptomatic) or indirectly by touching contaminated surfaces. Virus survives on the surfaces from few hours to days. It enters the human body through nose, eyes or mouth. Other sources of contamination are faeces, blood, food, water, semen etc. Parameters such as temperature/relative humidity also play an important role in transmission. As the disease is evolving, so are the number of cases. Proper planning and restriction are helping in influencing the trajectory of the transmission. Various measures are undertaken to prevent infection such as maintaining hygiene, using facemasks, isolation/quarantine, social/physical distancing, in extreme cases lockdown (restricted movement except essential services) in hot spot areas or throughout the country. Countries that introduced various mitigation measures had experienced control in transmission of COVID-19. Python programming is conducted for change point analysis (CPA) using Bayesian probability approach for understanding the impact of restrictions and mitigation methods in terms of either increase or stagnation in number of COVID-19 cases for eight countries. From analysis it is concluded that countries which acted late in bringing in the social distancing measures are suffering in terms of high number of cases with USA, leading among eight countries analysed. The CPA week in comparison with date of lockdown and first reported case strongly correlates (Pearson’s r = − 0.86 to − 0.97) to cases, cases per unit area and cases per unit population, indicating earlier the mitigation strategy, lesser the number of cases. The overall paper will help the decision makers in understanding the possible steps for mitigation, more so in developing countries where the fight against COVID-19 seems to have just begun.

Keywords: COVID-19; SARS-CoV-2; Pandemic; COVID-19 health impacts; Social distancing; Change point analysis; Bayesian probability (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10668-020-00884-x

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