About: Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity

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About: Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity Goto Sponge NotDistinct Permalink

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 COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity
Creator	Hirata, Akimasa Kodera, Sachiko Rashed, Essam
Source	ArXiv; Medline; PMC
abstract	This study analyzed the morbidity and mortality rates of the coronavirus disease (COVID-19) pandemic in different prefectures of Japan. Under the constraint that daily maximum confirmed deaths and daily maximum cases should exceed 4 and 10, respectively, 14 prefectures were included, and cofactors affecting the morbidity and mortality rates were evaluated. In particular, the number of confirmed deaths was assessed, excluding cases of nosocomial infections and nursing home patients. The correlations between the morbidity and mortality rates and population density were statistically significant (p-value < 0.05). In addition, the percentage of elderly population was also found to be non-negligible. Among weather parameters, the maximum temperature and absolute humidity averaged over the duration were found to be in modest correlation with the morbidity and mortality rates. Lower morbidity and mortality rates were observed for higher temperature and absolute humidity. Multivariate linear regression considering these factors showed that the adjusted determination coefficient for the confirmed cases was 0.693 in terms of population density, elderly percentage, and maximum absolute humidity (p-value < 0.01). These findings could be useful for intervention planning during future pandemics, including a potential second COVID-19 outbreak.
has issue date	2020-07-29(xsd:dateTime)
bibo:doi	10.3390/ijerph17155477
bibo:pmid	32751311
has license	cc-by
sha1sum (hex)	f06bbd2b22192dbba758d6802f524a5299ff80e7
schema:url	https://doi.org/10.3390/ijerph17155477
resource representing a document's title	Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity
has PubMed Central identifier	PMC7432122
has PubMed identifier	32751311
schema:publication	Int J Environ Res Public Health
resource representing a document's body	covid:f06bbd2b22192dbba758d6802f524a5299ff80e7#body_text
is schema:about of	named entity 'Under' named entity 'nosocomial infections' named entity 'temperature' named entity 'population density' named entity 'linear regression' named entity 'population density' named entity 'morbidity' named entity 'constraint' named entity 'cofactors' named entity 'addition' named entity 'Correlation' named entity 'USEFUL' named entity 'LOWER' named entity 'INTERVENTION' named entity 'ABSOLUTE HUMIDITY' named entity 'CONSIDERING' named entity 'AFFECTING' named entity 'COULD BE' named entity 'MODEST' named entity 'morbidity' named entity 'mortality rates' named entity 'absolute humidity' named entity 'study' named entity 'population' named entity '0.01' named entity 'absolute humidity' named entity 'morbidity' named entity 'Multivariate linear regression' named entity 'mortality rates' named entity 'population density' named entity 'morbidity' named entity 'pandemics' named entity 'mortality rates' named entity 'Correlation' named entity 'population density' named entity 'multivariate analysis' named entity 'SAS Institute' named entity 'nosocomial infection' named entity 'absolute humidity' named entity 'case fatality rate' named entity 'self-isolated' named entity 'mortality rates' named entity 'Health in Japan' named entity 'Japan Meteorological Agency' named entity 'Japan Meteorological Agency' named entity 'nosocomial infections' named entity 'Japan' named entity 'COVID-19' named entity 'multivariate linear regression' named entity 'PCR' named entity 'USD' named entity 'population density' named entity 'mortality rates' named entity 'mortality rates' named entity 'absolute humidity' named entity 'Japan' named entity 'population density' named entity 'mortality rates' named entity 'Japan' named entity 'absolute humidity' named entity 'Japan' named entity 'household consumption' named entity 'absolute humidity' named entity 'absolute humidity' named entity 'multivariate analysis' named entity 'nosocomial infections' named entity 'population density' named entity 'TDE' named entity 'absolute humidity' named entity 'population density' named entity 'absolute humidity' named entity 'data sample' named entity 'population density' named entity 'population density' named entity 'nosocomial infections' named entity 'epidemic' named entity 'population density' named entity 'p-value' named entity 'population density'

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