{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T22:18:16Z","timestamp":1778192296726,"version":"3.51.4"},"reference-count":34,"publisher":"American Geophysical Union (AGU)","issue":"4","license":[{"start":{"date-parts":[[2024,3,31]],"date-time":"2024-03-31T00:00:00Z","timestamp":1711843200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42130103"],"award-info":[{"award-number":["42130103"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42230406"],"award-info":[{"award-number":["42230406"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["agupubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["GeoHealth"],"published-print":{"date-parts":[[2024,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Hand, Foot, and Mouth Disease (HFMD) is an infectious disease that primarily affects young children. In densely populated Jiangsu Province in China, the impact of extreme meteorological factors on HFMD is a concern. We aimed to examine the association between extreme meteorological variables and HFMD infection risk using daily HFMD infections and meteorological data from 2010 to 2017 in Jiangsu Province. We used distributed lag non\u2010linear model (DLNM) to analyze the data, which can effectively capture the nuanced non\u2010linear dynamics and lag effects in the relationship between HFMD and extreme meteorological factors. Comparing the 10th and 90th percentiles of meteorological variables with their respective median values, our results showed that extremely low temperatures and high humidity were significantly associated with increased HFMD infection risk. The greatest effect of extremely low temperatures was observed at a lag of 1\u20132\u00a0days, elevating the risk by 18\u00a0\u223c\u00a033% (RR\u00a0=\u00a01.18\u00a0\u223c\u00a01.33). Extremely high humidity was found to increase the risk of infection, starting at a lag of 4\u00a0days. In contrast, extremely high temperatures, low humidity, and high wind speed were associated with reduced risk of infection at lag of 0\u201312\u00a0days, with the range of RR values being 0.60\u20130.98 for extremely high temperatures, 0.69\u20130.89 for extremely low humidity, and 0.84\u20130.98 for extremely high wind speed respectively. Our findings suggest that extreme meteorological factors can significantly impact the incidence of HFMD in Jiangsu Province, and highlight the need for effective public health protection measures during the periods of extreme meteorological condition, particularly for vulnerable populations.<\/jats:p>","DOI":"10.1029\/2023gh000942","type":"journal-article","created":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T05:50:24Z","timestamp":1711950624000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Short\u2010Term Effects of Extreme Meteorological Factors on Hand, Foot, and Mouth Disease Infection During 2010\u20132017 in Jiangsu, China: A Distributed Lag Non\u2010Linear Analysis"],"prefix":"10.1029","volume":"8","author":[{"given":"Xu","family":"Yang","sequence":"first","affiliation":[{"name":"Key Laboratory of Virtual Geographic Environment Nanjing Normal University Ministry of Education  Nanjing China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application  Nanjing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4725-4193","authenticated-orcid":false,"given":"Junshu","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Virtual Geographic Environment Nanjing Normal University Ministry of Education  Nanjing China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application  Nanjing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoming","family":"Zhang","sequence":"additional","affiliation":[{"name":"Health Information Center of Jiangsu Province  Nanjing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4225-9435","authenticated-orcid":false,"given":"Zhaoyuan","family":"Yu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Virtual Geographic Environment Nanjing Normal University Ministry of Education  Nanjing China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application  Nanjing China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"13","published-online":{"date-parts":[[2024,3,31]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"crossref","unstructured":"Anyamba A. 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