Temporal trends and spatial analysis of leprosy surveillance indicators in the municipalities of the state of Mato Grosso, 2008-2022.

IF 1.8 4区 医学 Q2 PARASITOLOGY
Lúcia Rolim Santana de Freitas, Elisabeth Carmen Duarte
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引用次数: 0

Abstract

Background: In 2022, Mato Grosso (MT, Brazil) reported the highest detection rate of new leprosy cases (66.20 per 100,000 inhabitants) among all Brazilian states. Monitoring of leprosy indicators is an important control strategy in hyperendemic areas. We aimed to describe the temporal trends and identify clusters of municipalities according to leprosy surveillance indicators in MT between 2008 and 2022.

Methods: Data from the Notifiable Diseases Information System were used to analyze new case detection rate of leprosy (NCDR), new case detection rate of leprosy among children aged <15 years (NCD15), and rate of new cases with grade 2 physical disability (G2DR). Spatial scan statistics with pure spatial analysis and spatial autocorrelation maps were used to analyze the spatial patterns. Joinpoint regression was used to estimate the annual percentage change (APC) in these indicators.

Results: The NCDR decreased (APC: -20.2%, 95% confidence interval (CI): -38.7% to -7.4%) between 2019 and 2021. The NCD15 also decreased (APC: -19.2%, 95% CI: -36.4% to -10.3%) between 2018 and 2022. Conversely, the G2DR remained stable throughout the study (APC: 3.2%, 95% CI: -0.1% to 6.7%). Global Moran's index (Moran's I) confirmed the existence of spatial dependence among the municipalities for NCDR (Moran's I=0.348), NCD15 (Moran's I=0.269), and G2DR (Moran's I=0.275). Clusters with high NCDR levels included 13 municipalities in the northern and eastern macroregions, while clusters with high G2DR levels included 12 municipalities in the northwestern, northern, and eastern macroregions.

Conclusions: The NCDR and NCD15 decreased, but the G2DR remained stable between 2018 and 2022. The coronavirus disease 2019 (COVID-19) pandemic had a potential negative impact on leprosy case detection, highlighting the need to strengthen leprosy surveillance efforts. The identified clusters of MT municipalities can significantly assist in this task.

2008-2022 年马托格罗索州各市麻风病监测指标的时间趋势和空间分析。
背景:2022 年,巴西马托格罗索州的麻风病新发病例检出率(每 10 万居民 66.20 例)在巴西各州中最高。监测麻风病指标是高流行地区的一项重要控制策略。我们旨在描述2008年至2022年期间马托格罗索州麻风病监测指标的时间趋势,并根据麻风病监测指标确定城市群:方法:利用应报告疾病信息系统的数据分析麻风病新病例检出率(NCDR)、麻风病儿童新病例检出率(APC:0.5%)、麻风病儿童新病例检出率(APC:0.5%)、麻风病儿童新病例检出率(APC:0.5%):2019年至2021年间,NCDR有所下降(APC:-20.2%,95%置信区间(CI):-38.7%至-7.4%)。在 2018 年至 2022 年期间,NCD15 也有所下降(APC:-19.2%,95% 置信区间:-36.4% 至-10.3%)。相反,G2DR 在整个研究期间保持稳定(APC:3.2%,95% CI:-0.1% 至 6.7%)。全球莫兰指数(Moran's I)证实了各城市之间在 NCDR(Moran's I=0.348)、NCD15(Moran's I=0.269)和 G2DR(Moran's I=0.275)方面存在空间依赖性。NCDR水平高的集群包括北部和东部宏观区域的13个城市,而G2DR水平高的集群包括西北部、北部和东部宏观区域的12个城市:2018年至2022年期间,NCDR和NCD15有所下降,但G2DR保持稳定。2019年冠状病毒病(COVID-19)大流行对麻风病例检测产生了潜在的负面影响,这凸显了加强麻风病监测工作的必要性。已确定的麻风病城市群可极大地帮助完成这项任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.40
自引率
10.00%
发文量
195
审稿时长
3-8 weeks
期刊介绍: The Journal of the Brazilian Society of Tropical Medicine (JBSTM) isan official journal of the Brazilian Society of Tropical Medicine) with open access. It is amultidisciplinary journal that publishes original researches related totropical diseases, preventive medicine, public health, infectious diseasesand related matters. Preference for publication will be given to articlesreporting original observations or researches. The journal has a peer-reviewsystem for articles acceptance and its periodicity is bimonthly. The Journalof the Brazilian Society of Tropical Medicine is published in English.The journal invites to publication Major Articles, Editorials, Reviewand Mini-Review Articles, Short Communications, Case Reports, TechnicalReports, Images in Infectious Diseases, Letters, Supplements and Obituaries.
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