Combination of Serological, Antigen Detection, and DNA Data for Plasmodium falciparum Provides Robust Geospatial Estimates for Malaria Transmission in Haiti.
Antibodies, Protozoan
/ immunology
Antigens, Protozoan
/ immunology
Child
DNA, Protozoan
/ analysis
Diagnostic Tests, Routine
/ methods
Female
Geography
Haiti
/ epidemiology
Humans
Immunologic Tests
Malaria, Falciparum
/ diagnosis
Male
Plasmodium falciparum
/ genetics
Protozoan Proteins
/ immunology
Spatial Analysis
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
21 05 2020
21 05 2020
Historique:
received:
10
02
2020
accepted:
04
05
2020
entrez:
23
5
2020
pubmed:
23
5
2020
medline:
2
12
2020
Statut:
epublish
Résumé
Microscopy is the gold standard for malaria epidemiology, but laboratory and point-of-care (POC) tests detecting parasite antigen, DNA, and human antibodies against malaria have expanded this capacity. The island nation of Haiti is endemic for Plasmodium falciparum (Pf) malaria, though at a low national prevalence and heterogenous geospatial distribution. In 2015 and 2016, serosurveys were performed of children (ages 6-7 years) sampled in schools in Saut d'Eau commune (n = 1,230) and Grand Anse department (n = 1,664) of Haiti. Children received malaria antigen rapid diagnostic test and provided a filter paper blood sample for further laboratory analysis of the Pf histidine-rich protein 2 (HRP2) antigen, Pf DNA, and anti-Pf IgG antibodies. Prevalence of Pf infection ranged from 0.0-16.7% in 53 Saut d'Eau schools, and 0.0-23.8% in 56 Grand Anse schools. Anti-Pf antibody carriage exceeded 80% of students in some schools from both study sites. Geospatial prediction ellipses were created to indicate clustering of positive tests within the survey areas and overlay of all prediction ellipses for the different types of data revealed regions with high likelihood of active and ongoing Pf malaria transmission. The geospatial utilization of different types of Pf data can provide high confidence for spatial epidemiology of the parasite.
Identifiants
pubmed: 32439948
doi: 10.1038/s41598-020-65419-w
pii: 10.1038/s41598-020-65419-w
pmc: PMC7242420
doi:
Substances chimiques
Antibodies, Protozoan
0
Antigens, Protozoan
0
DNA, Protozoan
0
Protozoan Proteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
8443Références
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