Quantifying the future risk of dengue under climate change in Japan
Bibliographic Data
| ID | 22076813 |
|---|---|
| Authors | Katsuma Hayashi (0000-0003-3412-3749, Kyoto University), Marie Fujimoto (Kyoto University), Hiroshi Nishiura (0000-0003-0941-8537, Kyoto University, corresponding author) |
| Year | 2022 |
| Volume | 10 |
| Pages | 959312-959312 |
| Publication date | 2022-08-05 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2022.959312 |
| PMID | 35991044 |
| OpenAlex | W4289941749 |
| Language | EN |
| References cited | 35 |
Background In metropolitan Tokyo in 2014, Japan experienced its first domestic dengue outbreak since 1945. The objective of the present study was to quantitatively assess the future risk of dengue in Japan using climate change scenarios in a high-resolution geospatial environment by building on a solid theory as a baseline in consideration of future adaptation strategies. Methods Using climate change scenarios of the Model for Interdisciplinary Research on Climate version 6 (MIROC6), representative concentration pathway (RCP) 2.6, 4.5, and 8.5, we computed the daily average temperature and embedded this in the effective reproduction number of dengue, R ( T ), to calculate the extinction probability and interepidemic period across Japan. Results In June and October, the R ( T ) with daily average temperature T , was 1 during these months under RCP8.5. The time period with a risk of dengue transmission gradually extended to late spring (April–May) and autumn (October–November). Under the RCP8.5 scenario in 2100, the possibility of no dengue-free months was revealed in part of southernmost Okinawa Prefecture, and the epidemic risk extended to the entire part of northernmost Hokkaido Prefecture. Conclusion Each locality in Japan must formulate action plans in response to the presented scenarios. Our geographic analysis can help local governments to develop adaptation policies that include mosquito breeding site elimination, distribution of adulticides and larvicides, and elevated situation awareness to prevent transmission via bites from Aedes vectors
Biology · Climate change · Dengue fever · Geography · Outbreak · Socioeconomics · Demography · Environmental Science · Knowledge Management and Technology · Mosquito-borne diseases and control · Zoonotic diseases and public health · Ecology · Virology
| Highly cited | No |
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