Evidence map›Paper›PMID 39695645›Full record

ArticleMalaria journal2024

Spatiotemporal dynamics of malaria and climate influence on its incidence in Condorcanqui Province, 2005-2022.

Milagros Saavedra-Samillán, Fátima Burgos, Flor García Huamán, Hugo O Valdivia, Dionicia Gamboa, Stella M Chenet

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Article in Malaria journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Milagros Saavedra-SamillánInstituto de Investigación de Enfermedades Tropicales (IET), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas, Peru.
Fátima BurgosInstituto de Investigación de Enfermedades Tropicales (IET), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas, Peru.
Flor García HuamánInstituto de Investigación de Enfermedades Tropicales (IET), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas, Peru.
Hugo O ValdiviaDepartment of Parasitology, U.S. Naval Medical Research Unit SOUTH (NAMRU SOUTH), Lima, Peru.
Dionicia GamboaDepartamento de Ciencias Celulares y Moleculares, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Peru.
Stella M ChenetInstituto de Investigación de Enfermedades Tropicales (IET), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas, Peru. stella.chenet@untrm.edu.pe.

Funding

PROCIENCIA PE501078584-2022-PROCIENCIA "Vigilancia genómica de Plasmodium y su impacto en el control de la malaria en comunidades nativas de la región Condorcanqui, Amazonas'' - MALARIA.US DoD Armed Forces Health Surveillance Division, Global Emerging Infections Surveillance Branch (AFHSD/GEIS) PROMIS ID P0091_24_N6.
6 · The paper itself

Abstract

backgroundAmazonas 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.

methodsA 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.

resultsDuring 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).

conclusionsMalaria 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.

Indexed as

MalariaSpatio-Temporal AnalysisAdolescentAdultAgedChildChild, PreschoolClimateFemaleHumansIncidenceInfantInfant, NewbornMalaria, FalciparumMalaria, VivaxMaleAmazonasClimateCondorcanquiMalariaSpatiotemporal

Identifiers

PMID39695645
PMCPMC11657927

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.