M Molemans, L Kayaert, Q Olislagers, S Abrahams, N Berkowitz, E Mohr-Holland, D McKelly, R Wood, F van Leth, S Hermans
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We conducted an ecological study to assess the association between neighbourhood incidence of first-episode TB and neighbourhood factors (total TB burden [all episodes] in the previous year, socioeconomic index, mean household size, mean age, and percentage males) using a negative binomial regression. We also examined the presence of hotspots in neighbourhood TB incidence with the Global Moran's I statistic and assessed spatial dependency in the association between neighbourhood factors and TB incidence using a spatial lag model.</p><p><strong>Results: </strong>The study included 684 neighbourhoods with a median first-episode TB incidence rate of 114 (IQR: 0-345) per 100,000 people. We found lower neighbourhood socioeconomic index (SEI), higher neighbourhood total TB burden, lower neighbourhood mean household size, and lower neighbourhood mean age were associated with increased neighbourhood first-episode TB incidence. Our findings revealed a hotspot of first-episode TB incidence in Cape Town and evidence of spatial dependency in the association between neighbourhood factors and TB incidence.</p><p><strong>Conclusion: </strong>Neighbourhood TB burden and SEI were associated with first-episode TB incidence, and there was spatial dependency in this association. Our findings can inform targeted interventions to reduce TB in high-risk neighbourhoods, thereby reducing health disparities and promoting health equity.</p>","PeriodicalId":23962,"journal":{"name":"Tropical Medicine & International Health","volume":" ","pages":"599-611"},"PeriodicalIF":2.6000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neighbourhood factors and tuberculosis incidence in Cape Town: A negative binomial regression and spatial analysis.\",\"authors\":\"M Molemans, L Kayaert, Q Olislagers, S Abrahams, N Berkowitz, E Mohr-Holland, D McKelly, R Wood, F van Leth, S Hermans\",\"doi\":\"10.1111/tmi.14001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Although the link between poverty and tuberculosis (TB) is widely recognised, limited studies have investigated the association between neighbourhood factors and TB incidence. 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We also examined the presence of hotspots in neighbourhood TB incidence with the Global Moran's I statistic and assessed spatial dependency in the association between neighbourhood factors and TB incidence using a spatial lag model.</p><p><strong>Results: </strong>The study included 684 neighbourhoods with a median first-episode TB incidence rate of 114 (IQR: 0-345) per 100,000 people. We found lower neighbourhood socioeconomic index (SEI), higher neighbourhood total TB burden, lower neighbourhood mean household size, and lower neighbourhood mean age were associated with increased neighbourhood first-episode TB incidence. Our findings revealed a hotspot of first-episode TB incidence in Cape Town and evidence of spatial dependency in the association between neighbourhood factors and TB incidence.</p><p><strong>Conclusion: </strong>Neighbourhood TB burden and SEI were associated with first-episode TB incidence, and there was spatial dependency in this association. 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引用次数: 0
摘要
研究目的尽管贫困与肺结核(TB)之间的联系已得到广泛认可,但有关邻里因素与肺结核发病率之间关系的研究却十分有限。由于影响不同肺结核发病的因素可能不同,本研究重点关注肺结核病的首次发病(首次肺结核):我们将南非开普敦 2007 年至 2015 年的结核病通报数据与 2011 年的人口普查数据进行了邻里层面的汇总,并合并了这些数据。我们进行了一项生态学研究,采用负二项回归法评估了邻近地区肺结核首次发病率与邻近地区因素(前一年的肺结核总负担[所有发病]、社会经济指数、平均家庭规模、平均年龄和男性比例)之间的关联。我们还利用全球莫兰 I 统计检验了邻近地区肺结核发病率是否存在热点,并利用空间滞后模型评估了邻近地区因素与肺结核发病率之间的空间依赖性:研究共包括 684 个社区,其肺结核首次发病率中位数为每 10 万人 114 例(IQR:0-345)。我们发现,较低的居民区社会经济指数(SEI)、较高的居民区结核病总负担、较低的居民区平均家庭规模和较低的居民区平均年龄与居民区结核病首次发病率的增加有关。我们的研究结果表明,开普敦是肺结核首次发病的热点地区,也证明了邻里因素与肺结核发病率之间的空间依赖性:结论:邻里肺结核负担和 SEI 与肺结核首次发病率有关,而且这种关联存在空间依赖性。我们的研究结果可为有针对性的干预措施提供依据,以减少高风险社区的结核病发病率,从而缩小健康差距,促进健康公平。
Neighbourhood factors and tuberculosis incidence in Cape Town: A negative binomial regression and spatial analysis.
Objectives: Although the link between poverty and tuberculosis (TB) is widely recognised, limited studies have investigated the association between neighbourhood factors and TB incidence. Since the factors influencing different episodes of TB might be different, this study focused on the first episode of TB disease (first-episode TB).
Methods: All first episodes in previously linked and geocoded TB notification data from 2007 to 2015 in Cape Town, South Africa, were aggregated at the neighbourhood level and merged with the 2011 census data. We conducted an ecological study to assess the association between neighbourhood incidence of first-episode TB and neighbourhood factors (total TB burden [all episodes] in the previous year, socioeconomic index, mean household size, mean age, and percentage males) using a negative binomial regression. We also examined the presence of hotspots in neighbourhood TB incidence with the Global Moran's I statistic and assessed spatial dependency in the association between neighbourhood factors and TB incidence using a spatial lag model.
Results: The study included 684 neighbourhoods with a median first-episode TB incidence rate of 114 (IQR: 0-345) per 100,000 people. We found lower neighbourhood socioeconomic index (SEI), higher neighbourhood total TB burden, lower neighbourhood mean household size, and lower neighbourhood mean age were associated with increased neighbourhood first-episode TB incidence. Our findings revealed a hotspot of first-episode TB incidence in Cape Town and evidence of spatial dependency in the association between neighbourhood factors and TB incidence.
Conclusion: Neighbourhood TB burden and SEI were associated with first-episode TB incidence, and there was spatial dependency in this association. Our findings can inform targeted interventions to reduce TB in high-risk neighbourhoods, thereby reducing health disparities and promoting health equity.
期刊介绍:
Tropical Medicine & International Health is published on behalf of the London School of Hygiene and Tropical Medicine, Swiss Tropical and Public Health Institute, Foundation Tropical Medicine and International Health, Belgian Institute of Tropical Medicine and Bernhard-Nocht-Institute for Tropical Medicine. Tropical Medicine & International Health is the official journal of the Federation of European Societies for Tropical Medicine and International Health (FESTMIH).