{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T14:08:31Z","timestamp":1785420511555,"version":"3.56.0"},"reference-count":32,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":218,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Disaster med. public health prep."],"published-print":{"date-parts":[[2025]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"S1935789325101365_sec1\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>No study has evaluated the relationship between heavy rain disasters and influenza by comparing victims and non-victims, and we investigated the association between the 2018 western Japan heavy rain disaster and influenza.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S1935789325101365_sec2\" sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>All patients registered in the National Health Insurance Claims Database and treated in the Hiroshima, Okayama, and Ehime prefectures were included in this retrospective cohort study conducted 1-year post-disaster. A multivariate mixed-effects logistic regression analysis was used to assess the association between the disaster and anti-influenza drug prescribing. A difference-in-differences analysis was conducted to assess anti-influenza drug use for the 4-month period immediately before and every 4 months for a year post-disaster.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S1935789325101365_sec3\" sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>This study included 6 176 300 individuals (victims: 36 076 [0.60%]); 2573 (7.1%) and 458 157 (7.4%) in the victim and non-victim groups, respectively, used anti-influenza drugs in the year following the flood. The victims were significantly more likely than non-victims to use anti-influenza drug (risk ratio 1.18; 95% confidence interval [CI] 1.12-1.42). The victims used significantly more anti-influenza drugs in the 4 months immediately post-disaster compared with just before the disaster (odds ratio 3.62; 95% CI 1.77-7.41).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S1935789325101365_sec4\" sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Anti-influenza drug use was higher among victims of the 2018 Western Japan heavy rain disaster than among non-victims.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1017\/dmp.2025.10136","type":"journal-article","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T08:17:28Z","timestamp":1754554648000},"source":"Crossref","is-referenced-by-count":0,"title":["Impact of the 2018 Western Japan Heavy Rain Disaster on Anti-influenza Virus Drug Prescribing: A Longitudinal Analysis Using the National Health Insurance Claims Database"],"prefix":"10.1017","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1169-5293","authenticated-orcid":false,"given":"Shu","family":"Utsumi","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03t78wx29","id-type":"ROR","asserted-by":"publisher"}],"name":"Hiroshima University"},{"id":[{"id":"https:\/\/ror.org\/03t78wx29","id-type":"ROR","asserted-by":"publisher"}],"name":"Hiroshima University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuhei","family":"Yoshida","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03t78wx29","id-type":"ROR","asserted-by":"publisher"}],"name":"Hiroshima University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shinichiro","family":"Ohshimo","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03t78wx29","id-type":"ROR","asserted-by":"publisher"}],"name":"Hiroshima University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nobuaki","family":"Shime","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03t78wx29","id-type":"ROR","asserted-by":"publisher"}],"name":"Hiroshima University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masatoshi","family":"Matsumoto","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03t78wx29","id-type":"ROR","asserted-by":"publisher"}],"name":"Hiroshima University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2025,8,7]]},"reference":[{"key":"S1935789325101365_r11","doi-asserted-by":"publisher","DOI":"10.1002\/ams2.367"},{"key":"S1935789325101365_r29","doi-asserted-by":"publisher","DOI":"10.1186\/s12976-021-00151-0"},{"key":"S1935789325101365_r23","doi-asserted-by":"publisher","DOI":"10.1186\/s12876-022-02342-6"},{"key":"S1935789325101365_r4","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(17)33293-2"},{"key":"S1935789325101365_r30","volume-title":"International Prescription Drug Price Comparisons","author":"Mulcahy","year":"2021"},{"key":"S1935789325101365_r7","doi-asserted-by":"publisher","DOI":"10.1136\/jech.2010.117002"},{"key":"S1935789325101365_r20","doi-asserted-by":"crossref","first-page":"D45","DOI":"10.1016\/j.vaccine.2008.07.066","article-title":"Epidemiology of influenza","volume":"26","author":"Monto","year":"2008","journal-title":"Vaccine."},{"key":"S1935789325101365_r2","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1016\/S0140-6736(22)00982-5","article-title":"Influenza","volume":"400","author":"Uyeki","year":"2022","journal-title":"Lancet"},{"key":"S1935789325101365_r5","doi-asserted-by":"publisher","DOI":"10.1186\/s13054-019-2539-x"},{"key":"S1935789325101365_r6","doi-asserted-by":"publisher","DOI":"10.1080\/08958370701665434"},{"key":"S1935789325101365_r17","doi-asserted-by":"crossref","first-page":"912","DOI":"10.20965\/jdr.2019.p0912","article-title":"Mortality by age group and municipality in the July 2018 torrential rainfall","volume":"14","author":"Miho","year":"2019","journal-title":"J Disaster Res."},{"key":"S1935789325101365_r16","doi-asserted-by":"publisher","DOI":"10.1007\/s40506-016-0085-5"},{"key":"S1935789325101365_r22","doi-asserted-by":"publisher","DOI":"10.1007\/s11481-006-9036-0"},{"key":"S1935789325101365_r12","unstructured":"12. Douris, J , Kim, G. The Atlas of Mortality and Economic Losses from Weather, Climate, and Water Extremes 1970\u20132019. WMO-No. 1267. 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