Correlation between climate indicators and COVID-19 pandemic in New York, USA
By Muhammad Farhan Bashir, Ben-jiang Ma, Bilal, Bushra Komal, Muhammad Adnan Bashir, Duojiao Tan, Madiha Bashir. Science of the Total Environment, 2020
679 citations recorded by the source corpus.
This study analyzed the association between COVID-19 and climate indicators in New York City, USA. We used secondary published data from New York city health services and National weather service, USA. The climate indicators included in the study are average temperature, minimum temperature, maximum temperature, rainfall, average humidity, wind speed, and air quality. Kendall and Spearman rank correlation tests were chosen for data analysis. We find that average temperature, minimum temperature, and air quality were significantly associated with the COVID-19 pandemic. The findings of this study will help World Health Organization and health regulators such as Center for Disease Control (CDC) to combat COVID-19 in New York and the rest of the world.
Subfields: Economics and Econometrics, Global and Planetary Change, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/5ca2db4c83b6c07cd786a30a48673d44643bc4d6
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In Economics and Econometrics
Citations in the corpus
- Impact of COVID-19 pandemic on socio-economic, energy-environment and transport sector globally and sustainable development goal (SDG) (2021, neutral): “Statistical analysis involved investigation from Jakarta (Tosepu et al., 2020), Indonesia, and California (Bashir et al., 2020), the USA reported that temperature has a moderate impact on COVID-19 transmission.”
- A brief review of socio-economic and environmental impact of Covid-19 (2020, background): “Several researchers (Bashir et al. 2020b; Bogoch et al. 2020) suggest that only green legislation will ensure environmental protection for the long term (Fig.”
- Spatial analysis and GIS in the study of COVID-19. A review (2020, neutral): “…into three geographical approaches: global (Hasan and Mahfujul Haque, 2020; Bariotakis et al., 2020), regional/national (Liu et al., 2020; De Ángel Solá et al., 2020; Ahmadi et al., 2020a; Ahmadi et al.,2020b; Qiet al.,2020; Guptaetal., 2020) and local (Bashir et al., 2020; Tosepu et al., 2020).”