Evidence map›Paper›PMID 31130142›Full record

ArticleInfectious diseases of poverty2019

Prevalence of malaria and lymphatic filariasis in bateyes of the Dominican Republic.

Hunter M Keys, Gregory S Noland, Madsen Beau De Rochars, Stephen Blount, Manuel Gonzales

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

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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

5 authors at 4 institutions in 3 countries.

Hunter M KeysDepartment of Anthropology, University of Amsterdam, Building B-REC B 8.01, Nieuwe Achtergracht 166, 1018, WV, Amsterdam, The Netherlands. huntkeys@gmail.com.
Gregory S NolandThe Carter Center, 453 Freedom Parkway, Atlanta, GA, 30307, USA.
Madsen Beau De RocharsHealth Services Research, Management and Policy Department, University of Florida, 1225 Center Drive, HPNP 3101, Gainesville, FL, 32611, USA.
Stephen BlountThe Carter Center, 453 Freedom Parkway, Atlanta, GA, 30307, USA.
Manuel GonzalesCenter for Prevention and Control of Vector-borne and Zoonotic Diseases, Av. Juan Pablo Duarte No. 269, 10301, Santo Domingo, Dominican Republic.
Carter Center · USUniversidad Psicología Industrial Dominicana · DOUniversity of Amsterdam · NLUniversity of Florida Health · US

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 406-16-550Pan American Health Organization SCON2016-02343
6 · The paper itself

Abstract

backgroundThe island of Hispaniola, shared by Haiti and the Dominican Republic (DR), is the only remaining malaria-endemic island in the Caribbean and accounts for 95% of the lymphatic filariasis (LF) burden in the Americas. Both countries aim to eliminate the diseases by 2020. Migration from Haiti, where both diseases are more prevalent, may promote transmission in the DR. Historically, Haitian migrant labourers live in rural Dominican agricultural 'company towns' called bateyes, many of which received mass drug administration (MDA) for LF elimination. This study sought to determine the prevalence of malaria and LF in bateyes of the DR and to describe related risk factors for disease.

methodsFrom March to April 2016, a cross-sectional, cluster survey was conducted across Dominican bateyes stratified into three regions: southwest, north and east. A household questionnaire (n = 776), captured demographics, ethnic origin, mobility patterns, malaria intervention coverage, and knowledge, and recent fever and treatment-seeking. Two individuals per household (n = 1418) were tested for malaria parasites by microscopy and rapid diagnostic test (RDT) and LF antigen by filariasis test strip (FTS). Population-level estimates and confidence intervals (CI) were computed adjusting for the survey design. Two-sided t-tests compared differences in knowledge scores.

resultsNo (0%) blood sample was Plasmodium-positive by microscopy or RDT. Six individuals were FTS-positive (0.5%; 95% CI: 0.2-1.5), but none (0%) of these were microfilariae-positive. Most batey residents were born in the DR (57.8%), documented (85.0%), and permanent residents (85.1%). Very few respondents (9.4%) reported travel to Haiti in the past year. Overall, half (53.8%) of respondents owned a bed net, and 82.3% of net owners reported using it the previous night. Indoor residual spraying (IRS) differed by region (range: 4.7%-61.2%). Most of those with recent fever sought care (56.0%), yet only 30.5% of those seeking care were tested for malaria. Compared to Dominican-born populations, Haitian-born respondents more frequently reported recent fever, did not seek care for the fever, had not heard of malaria, and could not name symptoms or prevention methods.

conclusionsMalaria and LF transmission appear absent or extremely low in Dominican bateyes, which are a mixture of Haitian and Dominican residents. Travel to Haiti is rare, meaning risk of malaria and LF importation is low. Addressing identified gaps in intervention coverage, malaria knowledge, treatment seeking and service delivery will improve the quality of surveillance for these diseases, particularly among marginalized populations and promote island-wide elimination.

Indexed as

Health Knowledge, Attitudes, PracticeAdolescentAdultAgedAged, 80 and overAntigens, HelminthAntigens, ProtozoanChildChild, PreschoolCross-Sectional StudiesDominican RepublicElephantiasis, FilarialFemaleHaitiHumansMalariaAntigens, HelminthAntigens, ProtozoanDominican RepublicEliminationHaitiLymphatic filariasisMalariaMigrant

Identifiers

PMID31130142
PMCPMC6535845
OpenAlexW2946999744

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.