Correlation between Covid-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity
Bibliographic Data
| ID | 15464965 |
|---|---|
| Authors | Sachiko Kodera (0000-0001-6595-0742, Nagoya Institute of Technology), Essam A Rashed (0000-0001-6571-9807, Suez Canal University), Akimasa Hirata (0000-0001-8336-1140, Nagoya Institute of Technology, corresponding author) |
| Year | 2020 |
| Volume | 17 |
| Issue | 15 |
| Pages | 5477-5477 |
| Publication date | 2020-07-29 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17155477 |
| PMID | 32751311 |
| OpenAlex | W3046005295 |
| Language | EN |
| Citations received | 35 |
| References cited | 11 |
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 p -value < 0.01). These findings could be useful for intervention planning during future pandemics, including a potential second COVID-19 outbreak
Coronavirus disease 2019 (COVID-19 · Disease · Environmental health · Mortality rate · Outbreak · Pandemic · Population · Climate Change and Health Impacts · COVID-19 and healthcare impacts · COVID-19 epidemiological studies · Demography · Medicine · Internal Medicine · Surgery · Virology
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| Unique citing works | 35 |
|---|---|
| Citations per year | 5,83 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 35 |