Evidence map›Paper›PMID 34998402›Full record

ArticleMalaria journal2022

Presence and potential distribution of malaria-infected New World primates of Costa Rica.

Andrea Chaves, Gaby Dolz, Carlos N Ibarra-Cerdeña, Genuar Núñez, Edgar Ortiz-Malavasi E, Sofia Bernal-Valle, Gustavo A Gutiérrez-Espeleta

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Genomic Insights Into Host Shifts BetweenEvolutionary applications · 2026
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  4. Overview ofComparative medicine · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Andrea Chaves *Laboratorio de Entomología, Programa de Investigación en Medicina Poblacional, Escuela de Medicina Veterinaria, Universidad Nacional, Heredia, Costa Rica. andreachaves.biol@gmail.com.ORCID http://orcid.org/0000-0002-6237-0678
Gaby Dolz *Laboratorio de Entomología, Programa de Investigación en Medicina Poblacional, Escuela de Medicina Veterinaria, Universidad Nacional, Heredia, Costa Rica.
Carlos N Ibarra-CerdeñaDepartamento de Ecología Humana, Centro de Investigación Y Estudios Avanzados (Cinvestav), Unidad Mérida, Mérida, Yucatan, Mexico.
Genuar NúñezEscuela de Biología, Universidad de Costa Rica, San Jose, Costa Rica.
Edgar Ortiz-Malavasi EEscuela de Forestales, Instituto Tecnológico de Costa Rica, Cartago, Costa Rica.
Sofia Bernal-ValleLaboratorio de Entomología, Programa de Investigación en Medicina Poblacional, Escuela de Medicina Veterinaria, Universidad Nacional, Heredia, Costa Rica.
Gustavo A Gutiérrez-EspeletaEscuela de Biología, Universidad de Costa Rica, San Jose, Costa Rica.
Universidad Nacional · CRUniversidad de Costa Rica · CRCentro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional · MXInstituto Tecnológico de Costa Rica · CR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn South and Central America, Plasmodium malariae/Plasmodium brasilianum, Plasmodium vivax, Plasmodium simium, and Plasmodium falciparum has been reported in New World primates (NWP). Specifically in Costa Rica, the presence of monkeys positive to P. malariae/P brasilianum has been identified in both captivity and in the wild. The aim of the present study was to determine the presence of P. brasilianum, P. falciparum, and P. vivax, and the potential distribution of these parasites-infecting NWP from Costa Rica.

methodsThe locations with PCR (Polymerase Chain Reaction) positive results and bioclimatic predictors were used to construct ecological niche models based on a modelling environment that uses the Maxent algorithm, named kuenm, capable to manage diverse settings to better estimate the potential distributions and uncertainty indices of the potential distribution.

resultsPCR analysis for the Plasmodium presence was conducted in 384 samples of four primates (Howler monkey [n = 130], White-face monkey [n = 132], Squirrel monkey [n = 50], and red spider monkey [n = 72]), from across Costa Rica. Three Plasmodium species were detected in all primate species (P. falciparum, P. malariae/P. brasilianum, and P. vivax). Overall, the infection prevalence was 8.9%, but each Plasmodium species ranged 2.1-3.4%. The niche model approach showed that the Pacific and the Atlantic coastal regions of Costa Rica presented suitable climatic conditions for parasite infections. However, the central pacific coast has a more trustable prediction for malaria in primates.

conclusionsThe results indicate that the regions with higher suitability for Plasmodium transmission in NWP coincide with regions where most human cases have been reported. These regions were also previously identified as areas with high suitability for vector species, suggesting that enzootic and epizootic cycles occur.

Indexed as

AlouattaAteles geoffroyiCebus capucinusSaimiriAnimalsCosta RicaMalariaMonkey DiseasesPlasmodiumPrevalenceSpecies SpecificityMalariaMaxentMolecular diagnosisNeotropicNew World primate

Identifiers

PMID34998402
PMCPMC8742953
OpenAlexW4205599363

What OpenQuestion holds

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Registered trials

None linked

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.