About: Correlation between weather and COVID‐19 pandemic in India: An empirical investigation

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Correlation between weather and COVID‐19 pandemic in India: An empirical investigation
Creator	Agrawal, Bharti Sharma, Prayas Singh, Ashish Sharma, \|
Source	Medline; PMC
abstract	This study is an attempt to find and analyze the correlation between Covid‐19 pandemic and weather conditions in Indian context. Secondary data analysis of surveillance data of COVID‐19 is taken from Wikipedia (updating information from World Health Organization) & statista.com and weather data through Power Data Access Viewer (DAV) (power.Iarc.nasa.gov) from NASA after mentioning latitude and longitude of India. The minimum temperature (°C) at 2 metre, maximum temperature (°C) at 2 metre, temperature (°C) at 2 metre and relative humidity (%) are taken as component of weather. To find the association, Spearman's rank correlation test was applied. The minimum, maximum temperature (°C) at 2 m, temperatures (°C) at 2 m and humidity at 2 m are significantly correlated with COVID‐19 pandemic cases (r = 0.93, 0.94, 0.83, and 0.30) at 99% two‐tailed significance level. The findings serve as an initial evidence to reduce the incidence rate of COVID‐19 in India and useful in policy making.
has issue date	2020-07-21(xsd:dateTime)
bibo:doi	10.1002/pa.2222
bibo:pmid	32837322
has license	no-cc
sha1sum (hex)	4b6aa1d48518e9a7f151898b46dbcdd02c17ca73
schema:url	https://doi.org/10.1002/pa.2222
resource representing a document's title	Correlation between weather and COVID‐19 pandemic in India: An empirical investigation
has PubMed Central identifier	PMC7404574
has PubMed identifier	32837322
schema:publication	J Public Aff
resource representing a document's body	covid:4b6aa1d48518e9a7f151898b46dbcdd02c17ca73#body_text
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