Do the weather parameters have influences on the proliferation of
Covid-19? An analysis based on metrological reports of geographically
different eight regions over the globe.
Abstract
A contagious disease caused by severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) is known as Coronavirus disease 2019
(Covid-19). It engendered the whole civilization within a couple of
months over the globe since it was first detected in Wuhan, China in
late December 2019. Variation of proliferation rates in different
regions assume that climatic parameters might have a vital role in
Covid-19 transmission. In this study, the correlation between Covid-19
proliferation with demographic parameter (population density), and
weather parameters (temperature, humidity, precipitation, wind speed,
and sunshine hour) were investigated separately within the first 60 days
of Covid-19 cases. To obtain a precedent correlation, weather and
infection-related data of eight different geographically coordinated
regions such as Alberta (Canada), Barcelona (Spain), Dhaka (Bangladesh),
Île-de-France (France), Lombardy (Italy), New York (USA), Rio de Janeiro
(Brazil) and West Bengal (India) having the diversity of climates were
considered. It was observed that less densely populated regions (New
York, Lombardy, Barcelona) were even highly affected than the highly
populated regions like Bangladesh, West Bengal. A negative correlation
between total cases and temperature perhaps made this difference. The
higher the wind speed perhaps accountable for long-distance viral
transmission. The non-steady humidity tentatively makes the people
vulnerable towards Covid-19 infections. Higher precipitation may
positively affect viral infection. Sunshine along with the higher
temperatures are suspected to impede the contagion by Covid-19.
Consequently, peoples in the regions of lower temperatures, higher wind
speed, and unstable humidity have higher risks of Covid-19 infection.