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?:abstract
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Abstract Coronavirus Disease 2019 (COVID-19) pandemic poses extreme threat to public health and economy, particularly to the nations with higher population density The disease first reported in Wuhan, China, later it spreads elsewhere and currently India emerged as COVID-19 hotspot In India, we selected 20 densely populated cities having infection counts higher than 500 (by May 15th) as COVID-19 epicenters Daily COVID-19 count has strong covariability with local temperature, which accounts approximately 65?85% of the explained variance i e its spread depends strongly on local temperature rise prior to community transmission phase The COVID-19 cases are clustered at temperature and humidity ranging within 27o?32oC and 25?45%, respectively We introduce a combined temperature and humidity profile;which favors rapid COVID-19 growth at the initial phase The results are highly significant for predicting future COVID-19 outbreaks and modeling cities based on environmental conditions On the other hand, CO2 emission is alarmingly high in South Asia (India), entails high risk of climate change and extreme hot summer Zoonotic viruses being sensitive to warming induced climate change;COVID-19 epicenters are collocated on CO2 emission hotspots The COVID-19 count distribution peaks at 31 0oC which is 1 0oC higher than current (2020) and historical (1961?1990) mean, value Approximately, 72% of the COVID-19 cases are clustered at severe to record breaking hot extremes of historical temperature distribution spectrum Therefore, extreme climate change has important role in the spread of COVID-19 pandemic Hence, a strenuous mitigation measures to abate Greenhouse Gas (GHG) emission is essential to avoid such pandemics in future
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