Influence of Absolute Humidity, Temperature and Population Density on Covid-19 Spread and Decay Durations
Multi-Prefecture Study in Japan
Dados Bibliográficos
| ID | 15501063 |
|---|---|
| Autores | Essam A Rashed (0000-0001-6571-9807, Suez Canal University), Sachiko Kodera (0000-0001-6595-0742, Nagoya Institute of Technology), José Gómez-Tames (0000-0003-1917-8979, Nagoya Institute of Technology), Akimasa Hirata (0000-0001-8336-1140, Nagoya Institute of Technology, autor correspondente) |
| Ano | 2020 |
| Volume | 17 |
| Fascículo | 15 |
| Páginas | 5354-5354 |
| Data de publicação | 2020-07-24 |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | International Journal of Environmental Research and Public Health (JOURNAL) |
| Identificadores do periódico | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Editora | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17155354 |
| PMID | 32722294 |
| OpenAlex | W3044533980 |
| Idioma | EN |
| Citações recebidas | 20 |
| Referências citadas | 14 |
This study analyzed the spread and decay durations of the COVID-19 pandemic in different prefectures of Japan. During the pandemic, affordable healthcare was widely available in Japan and the medical system did not suffer a collapse, making accurate comparisons between prefectures possible. For the 16 prefectures included in this study that had daily maximum confirmed cases exceeding ten, the number of daily confirmed cases follow bell-shape or log-normal distribution in most prefectures. A good correlation was observed between the spread and decay durations. However, some exceptions were observed in areas where travelers returned from foreign countries, which were defined as the origins of infection clusters. Excluding these prefectures, the population density was shown to be a major factor, affecting the spread and decay patterns, with R 2 = 0.39 ( p p R 2 > 0.36, p R 2 = 0.53, p -value < 0.05), could prove useful for intervention planning during potential future pandemics, including a second COVID-19 outbreak
Coronavirus disease 2019 (COVID-19 · Geography · Meteorology · Outbreak · Pandemic · Population · Population density · Relative humidity · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Statistics · COVID-19 and Mental Health · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Demography · Mathematics · Medicine · Virology
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| Citações por ano | 3,33 |
|---|---|
| Intervalo de citações | 2020 - 2025 (6) |
| Altamente citado | Não |