Universidad Peruana Cayetano Heredia

Malaria transmission structure in the Peruvian Amazon through antibody signatures to Plasmodium vivax

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dc.contributor.author Rosado, J.
dc.contributor.author Carrasco Escobar, Gabriel
dc.contributor.author Nolasco, O.
dc.contributor.author Garro, K.
dc.contributor.author Rodriguez-Ferruci, H.
dc.contributor.author Guzman Guzman, Mitchel Anthony
dc.contributor.author Llanos Cuentas, Elmer Alejandro
dc.contributor.author Vinetz, Joseph Michael
dc.contributor.author Nekkab, N.
dc.contributor.author White, M.T.
dc.contributor.author Mueller, I.
dc.contributor.author Gamboa Vilela, Dionicia Baziliza
dc.date.accessioned 2022-06-25T20:36:43Z
dc.date.available 2022-06-25T20:36:43Z
dc.date.issued 2022
dc.identifier.uri https://hdl.handle.net/20.500.12866/11877
dc.description.abstract Background The landscape of malaria transmission in the Peruvian Amazon is temporally and spatially heterogeneous, presenting different micro-geographies with particular epidemiologies. Most cases are asymptomatic and escape routine malaria surveillance based on light microscopy (LM). Following the implementation of control programs in this region, new approaches to stratify transmission and direct efforts at an individual and community level are needed. Antibody responses to serological exposure markers (SEM) to Plasmodium vivax have proven diagnostic performance to identify people exposed in the previous 9 months. Methodology We measured antibody responses against 8 SEM to identify recently exposed people and determine the transmission dynamics of P. vivax in peri-urban (Iquitos) and riverine (Mazán) communities of Loreto, communities that have seen significant recent reductions in malaria transmission. Socio-demographic, geo-reference, LM and qPCR diagnosis data were collected from two cross-sectional surveys. Spatial and multilevel analyses were implemented to describe the distribution of seropositive cases and the risk factors associated with exposure to P. vivax. Principal findings Low local transmission was detected by qPCR in both Iquitos (5.3%) and Mazán (2.7%); however, seroprevalence indicated a higher level of (past) exposure to P. vivax in Mazán (56.5%) than Iquitos (38.2%). Age and being male were factors associated with high odds of being seropositive in both sites. Higher antibody levels were found in individuals >15 years old. The persistence of long-lived antibodies in these individuals could overestimate the detection of recent exposure. Antibody levels in younger populations (<15 years old) could be a better indicator of recent exposure to P. vivax. Conclusions The large number of current and past infections detected by SEMs allows for detailed local epidemiological analyses, in contrast to data from qPCR prevalence surveys which did not produce statistically significant associations. Serological surveillance will be increasingly important in the Peruvian Amazon as malaria transmission is reduced by continued control and elimination efforts. en_US
dc.language.iso eng
dc.publisher Public Library of Science
dc.relation.ispartofseries PLoS Neglected Tropical Diseases
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Plasmodium en_US
dc.subject Malaria en_US
dc.subject Antibodies en_US
dc.subject Antibody response en_US
dc.subject Serology en_US
dc.subject DNA-binding proteins en_US
dc.subject Malarial parasites en_US
dc.subject Age groups en_US
dc.title Malaria transmission structure in the Peruvian Amazon through antibody signatures to Plasmodium vivax en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1371/journal.pntd.0010415
dc.type.version info:eu-repo/semantics/publishedVersion
dc.relation.issn 1935-2735


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