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Journal of Emerging Technologies and Business Management

Abstract

This research study investigates the effect of environmental factors such as Maximum Temperature (TMAX), Minimum Temperature (TMIN), Average Temperature (TA), Rainfall mm per inch (RF), Air Quality Index AQI, Precipitation (PP), Humidity (HM) and Wind Speed (WD) on the daily new cases and deceased cases of COVID-19 pandemic in New Delhi, India. The secondary data of COVID-19 is taken from the Department of Health & Family Welfare Government of Delhi, India, while AQI data is extracted from the Meteorological Department of the government of India. The correlation approach is used to test the effect of AQI and temperature on the Daily Cases of COVID -19. The results reveal that the weather is an important factor in determining the incidence rate of COVID-19 in New Delhi. The weather indicators such as minimum temperature, maximum temperature, precipitation are statistically significant for daily new cases, and minimum temperature, maximum temperature, air quality index and precipitation are statistically significant for total cases and minimum temperature, maximum temperature, average temperature, and precipitation are statistically significant for mortality among New Delhi citizens. The findings may become important information to control the pandemic in New Delhi, India.

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