
The demographic patterns of COVID-19 spread can provide clues to develop roadmaps for devising better prevention and control. It is high time to analyze and re-evaluate the zoonotic/reverse zoonotic spread of SARS-CoV-2 globally. To this end, lessons from epidemiology and associated determinants from previous outbreaks of SARS-CoV-1 and MERS need to be cultured and re-visited. Ways to minimize the rates of infection and promote the well-being of the masses need urgent attention owing to the subsequent waves of the global pandemic in most countries. Efforts are being directed for the provision of efficient and cost-effective diagnostics, prophylaxis and therapeutic options for COVID-19. The chapter provides insights, suggesting a potential roadmap for efficiently preventing the future outbreaks of COVID-19, based on the tools of epidemiology, transmission probabilities and public health safety concerns.
Epidemiology, Emerging Zoonotic Diseases and One Health Approach, Infectious disease (medical specialty), Coronavirus Disease 2019 Research, FOS: Health sciences, Social Distancing, Virology, Health Sciences, FOS: Mathematics, Pathology, Disease, Public health, Pandemic, Geography, Modeling the Dynamics of COVID-19 Pandemic, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Public Health, Environmental and Occupational Health, Outbreak, Transmission (telecommunications), Computer science, Coronavirus disease 2019 (COVID-19), Infectious Diseases, Environmental health, Modeling and Simulation, Physical Sciences, Telecommunications, Medicine, 2019-20 coronavirus outbreak, Mathematics
Epidemiology, Emerging Zoonotic Diseases and One Health Approach, Infectious disease (medical specialty), Coronavirus Disease 2019 Research, FOS: Health sciences, Social Distancing, Virology, Health Sciences, FOS: Mathematics, Pathology, Disease, Public health, Pandemic, Geography, Modeling the Dynamics of COVID-19 Pandemic, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Public Health, Environmental and Occupational Health, Outbreak, Transmission (telecommunications), Computer science, Coronavirus disease 2019 (COVID-19), Infectious Diseases, Environmental health, Modeling and Simulation, Physical Sciences, Telecommunications, Medicine, 2019-20 coronavirus outbreak, Mathematics
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