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2007 年至 2018 年巴西伯南布哥州内脏利什曼病的流行模式和驱动因素。

Patterns and drivers of Human Visceral Leishmaniasis in Pernambuco (Brazil) from 2007 to 2018.

机构信息

Universidade Federal do Vale do São Francisco, Petrolina. Pernambuco, Brazil.

School of Forest, Fisheries, and Geomatics Sciences, University of Florida, Gainesville, Florida, United States of America.

出版信息

PLoS Negl Trop Dis. 2023 Feb 8;17(2):e0011108. doi: 10.1371/journal.pntd.0011108. eCollection 2023 Feb.

Abstract

Visceral leishmaniasis (VL) is the second most common protozoosis that affects people around the world. The aim of this study is to understand how environmental and socioeconomic factors, as well as VL control and surveillance interventions, influence the spread and detection of VL cases in Pernambuco state (Brazil). A novel model was developed to analyze cases of VL between 2007 and 2018, enabling the quantification of the association of these variables with two processes: the probability of "invasion" (emergence of new cases) at municipalities by VL, and the probability of detecting cases not reported in municipalities that have already been invaded. Pernambuco state identified 1,410 cases of VL between 2007 and 2018, with an average of 128 cases per year and average incidence of 1.28/100 thousand people. These cases were distributed in 77.1% (142/184) of the municipalities, and 54.8% (773/1,410) of them were autochthonous. Our model reveals that the proportion of agriculture was positively associated with VL invasion probability. We also find that municipalities that are closer to notification centers and/or that have received technical training and support tend to have higher detection rates of VL cases. Taken together, these results suggest that a municipality with almost no agriculture and that received technical training, located close to a notification center, is unlikely to be invaded if no cases have ever been detected. On the other hand, a municipality that is far from the notification center, with no technical training, with a large agricultural area might have already been invaded but the surveillance system might have routinely failed to detect VL cases due to low detection probability. By disentangling the processes of invasion and detection, we were able to generate insights that are likely to be useful for the strategic allocation of VL prevention and control interventions.

摘要

内脏利什曼病(VL)是全球第二大常见的原生动物病,影响着世界各地的人们。本研究旨在了解环境和社会经济因素以及 VL 控制和监测干预措施如何影响伯南布哥州(巴西) VL 病例的传播和检测。我们开发了一种新模型来分析 2007 年至 2018 年期间的 VL 病例,该模型能够量化这些变量与两个过程的关联:VL 侵袭新出现病例的概率(即在新出现病例的城市中 VL 的出现)和检测已被侵袭但未报告病例的概率。伯南布哥州在 2007 年至 2018 年期间共发现 1410 例 VL 病例,每年平均 128 例,发病率为 1.28/10 万人。这些病例分布在 77.1%(142/184)的城市中,其中 54.8%(773/1410)为本地病例。我们的模型表明,农业比例与 VL 侵袭概率呈正相关。我们还发现,靠近通报中心和/或接受过技术培训和支持的城市,VL 病例的检测率更高。综上所述,这些结果表明,如果一个城市几乎没有农业且接受过技术培训,位于靠近通报中心的位置,并且从未检测到病例,那么该城市不太可能被侵袭。另一方面,如果一个城市远离通报中心,且没有接受过技术培训,农业面积大,那么该城市可能已经被侵袭,但由于检测概率低,监测系统可能未能定期检测到 VL 病例。通过分解侵袭和检测的过程,我们能够生成有助于 VL 预防和控制干预措施的战略分配的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5f6/9983839/c7d62fb15c4d/pntd.0011108.g001.jpg

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