The effect of weather data on the spread of COVID-19 in Jordan.
COVID-19
Coronavirus
Correlation test
Sensitivity analysis multilayer perceptron
Weather data
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Aug 2021
Aug 2021
Historique:
received:
16
09
2020
accepted:
30
12
2020
pubmed:
10
1
2021
medline:
12
8
2021
entrez:
9
1
2021
Statut:
ppublish
Résumé
This study aims to analyze the correlation between the daily confirmed COVID-19 cases in Jordan and metrological parameters including the average daily temperature (°C), maximum ambient temperature (°C), relative humidity (%), wind speed (m/s), pressure (kPa), and average daily solar radiation (W/m
Identifiants
pubmed: 33420694
doi: 10.1007/s11356-020-12338-y
pii: 10.1007/s11356-020-12338-y
pmc: PMC7794072
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
40416-40423Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
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