Md Asaduzzaman , Emil Arham Khan , Mohammad Nayeem Hasan , Mahbubur Rahman , Shah Ali Akbar Ashrafi , Farhana Haque , Najmul Haider
{"title":"孟加拉国2023年登革热病死率:空间和人口分析","authors":"Md Asaduzzaman , Emil Arham Khan , Mohammad Nayeem Hasan , Mahbubur Rahman , Shah Ali Akbar Ashrafi , Farhana Haque , Najmul Haider","doi":"10.1016/j.ijregi.2025.100654","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>In 2023, Bangladesh faced the largest dengue outbreak, resulting in 321,179 confirmed cases and 1705 fatalities. This study aims to characterize dengue fatalities and analyze their determinants and spatial influence.</div></div><div><h3>Methods</h3><div>Using data from the Management Information System of the Ministry of Health and Family Welfare, we characterized dengue mortality and conducted a linear regression analysis to determine the impact of age groups and gender on case fatality rate (CFR). We used a geographically weighted Poisson regression model to assess the spatial influence and impact of population factors.</div></div><div><h3>Results</h3><div>Women had a higher CFR than men (0.75% vs 0.38%, <em>P</em> <0.05). Among the recorded deaths, 74% (n = 1262) developed dengue shock syndrome, 17% (n = 290) expanded dengue syndrome, and 7% (n = 119) dengue hemorrhagic fever. The 10-year age groups significantly impacted CFR (estimate: 0.03, <em>P</em> <0.01), suggesting that each additional decade increased CFR by 30%, whereas gender was insignificant. Higher deaths were observed in the southern regions, whereas spatial clusters were primarily concentrated around Dhaka City, the epicenter of the outbreak. Substantial effects from neighboring districts were also identified.</div></div><div><h3>Conclusions</h3><div>Bangladesh’s 2023 dengue outbreak resulted in significant mortality, particularly, among older age groups. Fatalities were clustered in Dhaka City and its neighboring districts, especially in the south.</div></div>","PeriodicalId":73335,"journal":{"name":"IJID regions","volume":"15 ","pages":"Article 100654"},"PeriodicalIF":1.5000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The 2023 dengue fatality in Bangladesh: Spatial and demographic insights\",\"authors\":\"Md Asaduzzaman , Emil Arham Khan , Mohammad Nayeem Hasan , Mahbubur Rahman , Shah Ali Akbar Ashrafi , Farhana Haque , Najmul Haider\",\"doi\":\"10.1016/j.ijregi.2025.100654\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>In 2023, Bangladesh faced the largest dengue outbreak, resulting in 321,179 confirmed cases and 1705 fatalities. This study aims to characterize dengue fatalities and analyze their determinants and spatial influence.</div></div><div><h3>Methods</h3><div>Using data from the Management Information System of the Ministry of Health and Family Welfare, we characterized dengue mortality and conducted a linear regression analysis to determine the impact of age groups and gender on case fatality rate (CFR). We used a geographically weighted Poisson regression model to assess the spatial influence and impact of population factors.</div></div><div><h3>Results</h3><div>Women had a higher CFR than men (0.75% vs 0.38%, <em>P</em> <0.05). Among the recorded deaths, 74% (n = 1262) developed dengue shock syndrome, 17% (n = 290) expanded dengue syndrome, and 7% (n = 119) dengue hemorrhagic fever. The 10-year age groups significantly impacted CFR (estimate: 0.03, <em>P</em> <0.01), suggesting that each additional decade increased CFR by 30%, whereas gender was insignificant. Higher deaths were observed in the southern regions, whereas spatial clusters were primarily concentrated around Dhaka City, the epicenter of the outbreak. Substantial effects from neighboring districts were also identified.</div></div><div><h3>Conclusions</h3><div>Bangladesh’s 2023 dengue outbreak resulted in significant mortality, particularly, among older age groups. Fatalities were clustered in Dhaka City and its neighboring districts, especially in the south.</div></div>\",\"PeriodicalId\":73335,\"journal\":{\"name\":\"IJID regions\",\"volume\":\"15 \",\"pages\":\"Article 100654\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IJID regions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S277270762500089X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IJID regions","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S277270762500089X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
摘要
2023年,孟加拉国面临最大的登革热疫情,导致321,179例确诊病例和1705例死亡。本研究的目的是表征登革热死亡,并分析其决定因素和空间影响。方法利用卫生和家庭福利部管理信息系统的数据,对登革热病死率进行特征分析,并进行线性回归分析,确定年龄和性别对病死率(CFR)的影响。我们使用地理加权泊松回归模型来评估人口因素的空间影响和影响。结果女性CFR高于男性(0.75% vs 0.38%, P <0.05)。在记录的死亡病例中,74% (n = 1262)为登革休克综合征,17% (n = 290)为扩展型登革综合征,7% (n = 119)为登革出血热。10岁年龄组显著影响CFR(估计值:0.03,P <0.01),表明每增加10年CFR增加30%,而性别不显著。南部地区观察到较高的死亡人数,而空间集群主要集中在疫情中心达卡市周围。邻近地区的重大影响也得到了确认。孟加拉国2023年的登革热疫情导致大量死亡,特别是在老年群体中。死亡人数集中在达卡市及其邻近地区,尤其是南部地区。
The 2023 dengue fatality in Bangladesh: Spatial and demographic insights
Objectives
In 2023, Bangladesh faced the largest dengue outbreak, resulting in 321,179 confirmed cases and 1705 fatalities. This study aims to characterize dengue fatalities and analyze their determinants and spatial influence.
Methods
Using data from the Management Information System of the Ministry of Health and Family Welfare, we characterized dengue mortality and conducted a linear regression analysis to determine the impact of age groups and gender on case fatality rate (CFR). We used a geographically weighted Poisson regression model to assess the spatial influence and impact of population factors.
Results
Women had a higher CFR than men (0.75% vs 0.38%, P <0.05). Among the recorded deaths, 74% (n = 1262) developed dengue shock syndrome, 17% (n = 290) expanded dengue syndrome, and 7% (n = 119) dengue hemorrhagic fever. The 10-year age groups significantly impacted CFR (estimate: 0.03, P <0.01), suggesting that each additional decade increased CFR by 30%, whereas gender was insignificant. Higher deaths were observed in the southern regions, whereas spatial clusters were primarily concentrated around Dhaka City, the epicenter of the outbreak. Substantial effects from neighboring districts were also identified.
Conclusions
Bangladesh’s 2023 dengue outbreak resulted in significant mortality, particularly, among older age groups. Fatalities were clustered in Dhaka City and its neighboring districts, especially in the south.