Bibliographic citations
Rojas, L., (2024). Factores asociados a la prevalencia de malaria en tres comunidades nativas del distrito de Rio Santiago, Condorcanqui [Universidad Peruana Cayetano Heredia]. https://hdl.handle.net/20.500.12866/15234
Rojas, L., Factores asociados a la prevalencia de malaria en tres comunidades nativas del distrito de Rio Santiago, Condorcanqui []. PE: Universidad Peruana Cayetano Heredia; 2024. https://hdl.handle.net/20.500.12866/15234
@mastersthesis{renati/911189,
title = "Factores asociados a la prevalencia de malaria en tres comunidades nativas del distrito de Rio Santiago, Condorcanqui",
author = "Rojas Muro, Luis Martin",
publisher = "Universidad Peruana Cayetano Heredia",
year = "2024"
}
Malaria is endemic in the Amazonas department, particularly in the native communities of the Rio Santiago district. A significant increase has been observed since 2019 with the reintroduction of P. falciparum cases. This study aims to determine the associated factors and prevalence of asymptomatic and submicroscopic infections in three communities of the Rio Santiago district, Amazonas. A cross-sectional study was conducted, collecting individual and household data, including demographic, socioeconomic, clinical-epidemiological information, malaria history, and microscopy and qPCR results from three native communities in the Rio Santiago district. Malaria prevalence was calculated for each community, considering species, submicroscopic, and asymptomatic infections. Multilevel multivariate analysis and Poisson regression for household variables were performed using Stata v17 to identify factors associated with malaria prevalence. Microscopy revealed a prevalence of 14,6%, while qPCR detected 1,79 times more cases (26,1%). P. vivax predominated in Chapiza and Nueva Esperanza, whereas Alianza Progreso had the majority of cases (59%), with P. falciparum being more prevalent. Mixed infections were reported in 0,9–1,2% of cases in all three communities. Submicroscopic prevalence was 44,2%, and asymptomatic cases were 63,6%. Multilevel analysis identified age under 15 years (PR 2,02; p<0,001; IC 95% 1,52-2,68) and travel to another endemic community (PR 1,90; p<0,001; IC 95% 2,63-2,74) as factors associated with malaria prevalence, while bed net usage (PR 0,63; p=0,002; IC 95% 0,50-0,85) was protective. In the Poisson regression for households, having two or more rooms (p<0,001; 95% CI 0,26-0,68) and at least one bed net (p=0,006; 95% CI 0,41-0,85%) were protective against having at least one malaria case in the household. A high prevalence of submicroscopic and asymptomatic infections was observed, supporting the residual transmission of malaria in these populations. These results provide valuable information for designing more effective strategies tailored to local conditions in the fight against malaria in these communities.
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