Impact of Climatic Factors on Viability of SARS-CoV-2 and Transmission Prospective of COVID-19: An Overview
Autor: | Sadaf BiBi, Muhammad Khurram Ahmad, Naveed Akhtar, Naveed Nawaz |
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Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
Coronavirus disease 2019 (COVID-19) Public health Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Outbreak Biology medicine.disease medicine.disease_cause Infectious disease (medical specialty) Environmental health Pandemic medicine Middle East respiratory syndrome Coronavirus |
Zdroj: | Microbes and Infectious Diseases. |
ISSN: | 2682-4140 |
DOI: | 10.21608/mid.2020.34805.1034 |
Popis: | The emergence of the new coronavirus disease-19 (Covid-19) from exotic wild animal market in Hubei, China during the late December 2019 has spread in 250 countries and territories posing menace to health of people around the globe. Covid-19 has a great impact on public health, mortality and economy. The causing agent of Covid-19 is severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Due to unavailability of the potential drug or treatment for Covid-19, multi factorial research is conducted to reduce its transmission. Climatic factors play a key role in regulating the transmission of the infectious diseases like Severe Acute Respiratory Syndrome (SARS), Middle East Respiratory syndrome, and influenza. So, the rate of prevalence of the infectious disease is likely to be inclined by the variation in climatic indicators. We conclude from the past and present experiences that coronavirus transmission is elevated under low temperature and high humidity and vice versa. It further infers that after three hours of incubation of SARS-CoV-2, no infectious virus could be recovered from tissue paper and printing. Smooth surfaces are found to be more favorable for SARS-CoV-2. We may infer that climatic variations greatly affects infectious disease transmission pattern. We need more to study about under laying multifaceted casual affiliation between climate and communicable diseases and employ this information to the forecast of their upcoming impact. |
Databáze: | OpenAIRE |
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