Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity.
Int J Environ Res Public Health
; 17(15)2020 07 29.
Artículo
en Inglés
| MEDLINE | ID: covidwho-693623
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.
Palabras clave
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
Neumonía Viral
/
Tiempo (Meteorología)
/
Densidad de Población
/
Infecciones por Coronavirus
/
Betacoronavirus
Tipo de estudio:
Estudio experimental
/
Estudio observacional
/
Estudio pronóstico
Límite:
Anciano
/
Humanos
País/Región como asunto:
Asia
Idioma:
Inglés
Año:
2020
Tipo del documento:
Artículo
País de afiliación:
Ijerph17155477
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