{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T15:51:48Z","timestamp":1791561108826,"version":"4.3.4"},"reference-count":34,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T00:00:00Z","timestamp":1776038400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      The incidence of other infectious diarrhea (OID) is rising, imposing a significant medical burden. While meteorological factors affect OID, few studies have examined sulfur dioxide (SO\n                      <jats:sub>2<\/jats:sub>\n                      ) or its interactions with these variables.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Using quasi-Poisson and distributed lag non-linear models, we analyzed the lagged, non-linear effects of meteorological factors and SO\n                      <jats:sub>2<\/jats:sub>\n                      on OID cases in Fuzhou, China (2015\u20132019). Interactive effects between SO\n                      <jats:sub>2<\/jats:sub>\n                      and meteorological variables were evaluated using multiplicative terms, multiplicative scale, relative excess risk due to interaction (RERI), and attributable proportion (AP). Stratified analyses highlighted vulnerable groups.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The relationship between OID and mean temperature (MT), mean relative humidity (MRH) and SO\n                      <jats:sub>2<\/jats:sub>\n                      were represented by U-, L-, and J-shaped curves, respectively. A synergistic effect was found between MT and MRH, where low levels of both increased OID risk, while SO\n                      <jats:sub>2<\/jats:sub>\n                      and MT showed an antagonistic effect, with high SO\n                      <jats:sub>2<\/jats:sub>\n                      and low MT raising OID risk. Children aged 3\u20134 years were particularly sensitive to extremely low MT.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      These results underscore the importance roles of MT, MRH, and SO\n                      <jats:sub>2<\/jats:sub>\n                      in OID risk, and highlight the need for prediction and prevention strategies targeting the co-exposure of environmental factors.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1706739","type":"journal-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T05:48:36Z","timestamp":1776059316000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Unraveling complex interactions of meteorological factors and sulfur dioxide on other infectious diarrhea: evidence from a subtropical city"],"prefix":"10.3389","volume":"14","author":[{"given":"Jiangwang","family":"Fang","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou","place":["Fujian Province, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyan","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou","place":["Fujian Province, China"]},{"name":"Emergency Response Department, The Affiliated Fuzhou Center for Disease Control and Prevention of Fujian Medical University, Fuzhou","place":["Fujian Province, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanwei","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Infectious Disease Prevention and Control, The Affiliated Fuzhou Center for Disease Control and Prevention of Fujian Medical University, Fuzhou","place":["Fujian Province, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danjing","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou","place":["Fujian Province, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiying","family":"Zhan","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, 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