{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T06:16:19Z","timestamp":1784355379174,"version":"3.55.0"},"reference-count":26,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T00:00:00Z","timestamp":1715212800000},"content-version":"unspecified","delay-in-days":129,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Disaster med. public health prep."],"published-print":{"date-parts":[[2024]]},"abstract":"<jats:title>Abstract<\/jats:title>\n\t  <jats:sec id=\"S1935789324000776_as1\">\n\t    <jats:title>Objectives:<\/jats:title>\n\t    <jats:p>To quantify the burden of communicable diseases and characterize the most reported infections during public health emergency of floods in Pakistan.<\/jats:p>\n\t  <\/jats:sec>\n\t  <jats:sec id=\"S1935789324000776_as2\">\n\t    <jats:title>Methods:<\/jats:title>\n\t    <jats:p>The study\u2019s design is a descriptive trend analysis. The study utilized the disease data reported to District Health Information System (DHIS2) for the 12 most frequently reported priority diseases under the Integrated Disease Surveillance and Response (IDSR) system in Pakistan.<\/jats:p>\n\t  <\/jats:sec>\n\t  <jats:sec id=\"S1935789324000776_as3\">\n\t    <jats:title>Results:<\/jats:title>\n\t    <jats:p>In total, there were 1,532,963 suspected cases during August to December 2022 in flood-affected districts (n = 75) across Pakistan; Sindh Province reported the highest number of cases (n = 692,673) from 23 districts, followed by Khyber Pakhtunkhwa (KP) (n = 568,682) from 17 districts, Balochistan (n = 167,215) from 32 districts, and Punjab (n = 104,393) from 3 districts. High positivity was reported for malaria (79,622\/201,901; 39.4%), followed by acute diarrhea (non-cholera) (23\/62; 37.1%), hepatitis A and E (47\/252; 18.7%), and dengue (603\/3245; 18.6%). The crude mortality rate was 11.9 per 10 000 population (1824\/1,532,963 [deaths\/cases]).<\/jats:p>\n\t  <\/jats:sec>\n\t  <jats:sec id=\"S1935789324000776_as4\">\n\t    <jats:title>Conclusion:<\/jats:title>\n\t    <jats:p>The study identified acute respiratory infection, acute diarrhea, malaria, and skin diseases as the most prevalent diseases. This suggests that preparedness efforts and interventions targeting these diseases should be prioritized in future flood response plans. The study highlights the importance of strengthening the IDSR as a Disease Early Warning System through the implementation of the DHIS2.<\/jats:p>\n\t  <\/jats:sec>","DOI":"10.1017\/dmp.2024.77","type":"journal-article","created":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T08:02:50Z","timestamp":1715241770000},"source":"Crossref","is-referenced-by-count":4,"title":["Mortality Associated with Priority Diseases in Flood-Affected Areas Using District Health Information System (DHIS2) During September\u2013December 2022: Pakistan Experience"],"prefix":"10.1017","volume":"18","author":[{"given":"Nadia","family":"Nisar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeeshan","family":"Iqbal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Sartaaj","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aamer","family":"Ikram","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Najma","family":"Javad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kashif","family":"Ali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jahanzeb","family":"Anjum","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muazam","family":"Abbas Ranjha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mumtaz Ali","family":"Khan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Asif Khan","family":"Bettani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wasif","family":"Shah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nida","family":"Tanveer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Cleary","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chloe","family":"Byers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anne","family":"Wilson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Salman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8148-7612","authenticated-orcid":false,"given":"Mamoon A.","family":"Aldeyab","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2024,5,9]]},"reference":[{"key":"S1935789324000776_ref4","doi-asserted-by":"publisher","DOI":"10.1680\/wame.2000.142.1.3"},{"key":"S1935789324000776_ref12","unstructured":"12. 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Eckstein, D ,, K\u00fcnzel, V , Sch\u00e4fer, L . The global climate risk index 2021. Bonn: Germanwatch. 2021."},{"key":"S1935789324000776_ref11","doi-asserted-by":"publisher","DOI":"10.2471\/BLT.10.083386"},{"key":"S1935789324000776_ref15","unstructured":"15. Kawoosa, VM , Bhargava, A , Katakam, A , Sharma, M. Floods in Pakistan. Reuters [Website]. Published September 1, 2022. Accessed May 1, 2024. https:\/\/www.reuters.com\/graphics\/PAKISTAN-WEATHER\/FLOODS\/akpezbzxgvr\/"},{"key":"S1935789324000776_ref5","first-page":"e00651","article-title":"A review of the flood hazard and risk management in the South Asian Region, particularly Pakistan","volume":"10","author":"Shah","year":"2020","journal-title":"Sci Afr."},{"key":"S1935789324000776_ref16","unstructured":"16. \u201cEmergency Disease Surveillance System (EDSS)\u201d Training Conducted at District DG Khan, Punjab. LinkedIn. Published 2022. 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Accessed April 30, 2024. https:\/\/phkh.nhsrc.pk\/sites\/default\/files\/2019-07\/Inter\u00a0Agency\u00a0RTE\u00a0of\u00a0Humanitarian\u00a0Response\u00a0to\u00a02010\u00a0Flood\u00a0Crisis\u00a02011.pdf"},{"key":"S1935789324000776_ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijid.2021.03.002"},{"key":"S1935789324000776_ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s40257-015-0138-4"},{"key":"S1935789324000776_ref26","doi-asserted-by":"publisher","DOI":"10.1080\/00034983.1993.11812776"},{"key":"S1935789324000776_ref20","doi-asserted-by":"publisher","DOI":"10.4103\/0976-9668.149069"}],"container-title":["Disaster Medicine and Public Health Preparedness"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S1935789324000776","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T08:02:57Z","timestamp":1715241777000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S1935789324000776\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":26,"alternative-id":["S1935789324000776"],"URL":"https:\/\/doi.org\/10.1017\/dmp.2024.77","relation":{},"ISSN":["1935-7893","1938-744X"],"issn-type":[{"value":"1935-7893","type":"print"},{"value":"1938-744X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"article-number":"e89"}}