Saavedra-Samillán Milagros, Burgos Fátima, García Huamán Flor, Valdivia Hugo O, Gamboa Dionicia, Chenet Stella M
Instituto de Investigación de Enfermedades Tropicales (IET), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas, Peru.
Facultad de Ingeniería y Ciencias Agrarias, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas, Perú.
Malar J. 2024 Dec 18;23(1):380. doi: 10.1186/s12936-024-05193-6.
Amazonas is a region in northern Peru with the second-highest incidence of malaria. Approximately 95% of the cases are reported in the Condorcanqui province, where native communities living along the banks of Santiago River lack access to potable water, sewage, and electricity. This study aimed to analyse malaria's spatial, temporal, and climatic characteristics in Condorcanqui to guide future studies and prevention strategies.
A database provided by DIRESA-Amazonas was evaluated. Database included cases from 44 health facilities serving 112 native communities. According to the malaria control programs implemented in Peru, the study was divided into three periods: 2005-2010, 2011-2016, and 2017-2022. A Spearman correlation analysis was also conducted to assess the relationship between malaria incidence and climate variables.
During the study periods, 10,632 cases were reported, including Plasmodium vivax (84.87%), Plasmodium falciparum (14.91%) and Plasmodium malariae (0.23%) infections. Annual incidence rates (AIRs) significantly varied across the study periods (p < 0.001). A significant reduction in malaria incidence occurred during the first period, largely attributed to PAMAFRO programme interventions. Subsequent periods, showed a gradual increase in cases, with a peak of P. vivax in 2019 and the reintroduction of P. falciparum. Males and individuals aged 0-11 years presented the greatest number of cases. Significant correlations were found between malaria incidence and the Oceanic Niño Index (ONI) at lag0 (ρ = 0.14, p = 0.037), corrected precipitation at lag1 (ρ = 0.16, p = 0.020), and minimum wind speed at lag1 (ρ = 0.15, p = 0.024).
Malaria incidence in Condorcanqui has increased over the last 5 years, driven by climatic influences such as the ONI, precipitation, and low wind speeds. Without immediate preventive efforts, cases are expected to continue rising. Effective control strategies must tackle the social, economic, and political issues that heighten vulnerability, such as poverty and limited healthcare access. Maintaining control initiatives and tailoring them to local needs will be essential for achieving long-term reductions of malaria in Peru.
亚马孙地区是秘鲁北部一个疟疾发病率第二高的地区。约95%的病例报告来自孔多尔坎基省,生活在圣地亚哥河岸的当地社区无法获得饮用水、污水处理和电力供应。本研究旨在分析孔多尔坎基省疟疾的空间、时间和气候特征,以指导未来的研究和预防策略。
对亚马孙地区卫生局(DIRESA - Amazonas)提供的数据库进行评估。该数据库包含来自为112个当地社区服务的44个卫生设施的病例。根据秘鲁实施的疟疾控制项目,研究分为三个时期:2005 - 2010年、2011 - 2016年和2017 - 2022年。还进行了斯皮尔曼相关性分析,以评估疟疾发病率与气候变量之间的关系。
在研究期间,共报告了10632例病例,包括间日疟原虫感染(84.87%)、恶性疟原虫感染(14.91%)和三日疟原虫感染(0.23%)。各研究时期的年发病率(AIRs)有显著差异(p < 0.001)。在第一个时期,疟疾发病率显著下降,这主要归因于“泛美疟疾防治计划(PAMAFRO)”的干预措施。随后的时期,病例数逐渐增加,2019年间日疟原虫感染达到高峰,恶性疟原虫再次出现。男性和0 - 11岁的个体病例数最多。发现疟疾发病率与滞后0期的海洋尼诺指数(ONI)(ρ = 0.14,p = 0.037)、滞后1期的校正降水量(ρ = 0.16,p = 0.020)以及滞后1期的最小风速(ρ = 0.15,p = 0.024)之间存在显著相关性。
在过去5年中,受海洋尼诺指数、降水量和低风速等气候影响,孔多尔坎基省的疟疾发病率有所上升。如果不立即采取预防措施,预计病例数将继续增加。有效的控制策略必须解决加剧脆弱性的社会、经济和政治问题,如贫困和医疗服务可及性有限等问题。维持控制举措并使其适应当地需求对于秘鲁长期减少疟疾至关重要。