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10.1016/j.scitotenv.2020.138835

http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.138835
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32334162!7195034!32334162
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suck abstract from ncbi

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  • Correlation between climate indicators and COVID-19 pandemic in New York, USA #MMPMID32334162
  • Bashir MF; Ma B; Bilal; Komal B; Bashir MA; Tan D; Bashir M
  • Sci Total Environ 2020[Aug]; 728 (ä): 138835 PMID32334162show ga
  • 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.
  • |*Climate[MESH]
  • |Air Pollution[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*epidemiology[MESH]
  • |Humans[MESH]
  • |Humidity[MESH]
  • |New York City/epidemiology[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*epidemiology[MESH]
  • |SARS-CoV-2[MESH]
  • |Temperature[MESH]
  • |Wind[MESH]


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  • suck abstract from ncbi

    138835 ä.728 2020