Spatio-temporal analysis of leprosy risks in a municipality in the state of Mato Grosso-Brazilian Amazon: results from the leprosy post-exposure prophylaxis program in Brazil.

IF 4.8 1区 医学 Q1 INFECTIOUS DISEASES Infectious Diseases of Poverty Pub Date : 2022-02-22 DOI:10.1186/s40249-022-00943-7
Lúbia Maieles Gomes Machado, Emerson Soares Dos Santos, Arielle Cavaliero, Peter Steinmann, Eliane Ignotti
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Abstract

Background: Leprosy post-exposure prophylaxis (LPEP) with single dose rifampicin (SDR) can be integrated into different leprosy control program set-ups once contact tracing has been established. We analyzed the spatio-temporal changes in the distribution of index cases (IC) and co-prevalent cases among contacts of leprosy patients (CP) over the course of the LPEP program in one of the four study areas in Brazil, namely the municipality of Alta Floresta, state of Mato Grosso, in the Brazilian Amazon basin.

Methods: Leprosy cases were mapped, and socioeconomic indicators were evaluated to explain the leprosy distribution of all leprosy cases diagnosed in the period 2016-2018. Data were obtained on new leprosy cases [Notifiable diseases information system (Sinan)], contacts traced by the LPEP program, and socioeconomic variables [Brazilian Institute of Geography and Statistics (IBGE)]. Kernel, SCAN, factor analysis and spatial regression were applied to analyze changes.

Results: Overall, the new case detection rate (NCDR) was 20/10 000 inhabitants or 304 new cases, of which 55 were CP cases among the 2076 examined contacts. Changes over time were observed in the geographic distribution of cases. The highest concentration of cases was observed in the northeast of the study area, including one significant cluster (Relative risk = 2.24; population 27 427, P-value < 0.001) in an area characterized by different indicators associated with poverty as identified through spatial regression (Coefficient 3.34, P-value = 0.01).

Conclusions: The disease distribution was partly explained by poverty indicators. LPEP influences the spatial dynamic of the disease and results highlighted the relevance of systematic contact surveillance for leprosy elimination.

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巴西亚马逊马托格罗索州一个城市的麻风病风险时空分析:巴西麻风病暴露后预防计划的结果。
背景:一旦建立了接触者追踪系统,使用单剂量利福平(SDR)的麻风病暴露后预防(LPEP)可被纳入不同的麻风病控制项目中。我们分析了巴西四个研究地区之一,即巴西亚马逊盆地马托格罗索州上弗洛雷斯塔市的麻风病人(CP)接触者中指数病例(IC)和共同流行病例分布的时空变化:绘制麻风病例地图,评估社会经济指标,以解释2016-2018年期间所有确诊麻风病例的分布情况。数据来源于麻风病新病例[应报告疾病信息系统(Sinan)]、LPEP项目追踪的接触者以及社会经济变量[巴西地理统计局(IBGE)]。应用核分析、SCAN、因子分析和空间回归分析变化:总体而言,新病例检出率(NCDR)为 20/10,000,即 304 例新病例,其中 55 例是在 2076 名接受检查的接触者中发现的 CP 病例。病例的地理分布随时间发生了变化。病例最集中的地区是研究区的东北部,包括一个重要的群集(相对风险 = 2.24;人口 27 427,P 值结论):贫困指标在一定程度上解释了疾病的分布。LPEP影响了麻风病的空间动态,研究结果凸显了系统性接触监测对消除麻风病的重要性。
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来源期刊
Infectious Diseases of Poverty
Infectious Diseases of Poverty Medicine-Public Health, Environmental and Occupational Health
CiteScore
16.70
自引率
1.20%
发文量
368
审稿时长
13 weeks
期刊介绍: Infectious Diseases of Poverty is a peer-reviewed, open access journal that focuses on essential public health questions related to infectious diseases of poverty. It covers a wide range of topics and methods, including the biology of pathogens and vectors, diagnosis and detection, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and implementation, new technologies, and their application. The journal also explores the impact of transdisciplinary or multisectoral approaches on health systems, ecohealth, environmental management, and innovative technologies. It aims to provide a platform for the exchange of research and ideas that can contribute to the improvement of public health in resource-limited settings. In summary, Infectious Diseases of Poverty aims to address the urgent challenges posed by infectious diseases in impoverished populations. By publishing high-quality research in various areas, the journal seeks to advance our understanding of these diseases and contribute to the development of effective strategies for prevention, diagnosis, and treatment.
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