Evidence map›Paper›PMID 35757611›Full record

ArticleFrontiers in public health2022

Multiplex Serology for Measurement of IgG Antibodies Against Eleven Infectious Diseases in a National Serosurvey: Haiti 2014-2015.

YuYen Chan, Diana Martin, Kimberly E Mace, Samuel E Jean, Gillian Stresman, Chris Drakeley, Michelle A Chang, Jean F Lemoine, Venkatachalam Udhayakumar, Patrick J Lammie and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  3. Potential value streams of an integrated Canadian serosurveillance network.Canadian journal of public health = Revue canadienne de sante publique · 2026
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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

12 authors at 6 institutions in 3 countries.

YuYen ChanThe London School of Hygiene & Tropical Medicine, London, United Kingdom.
Diana MartinDivision of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Kimberly E MaceDivision of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Samuel E JeanPopulation Services International/Organization Haïtienne de Marketing Social Pour la Santé, Port-au-Prince, Haiti.
Gillian StresmanThe London School of Hygiene & Tropical Medicine, London, United Kingdom.
Chris DrakeleyThe London School of Hygiene & Tropical Medicine, London, United Kingdom.
Michelle A ChangDivision of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Jean F LemoineProgramme National de Contrôle de la Malaria/MSPP, Port-au-Prince, Haiti.
Venkatachalam UdhayakumarDivision of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Patrick J LammieDivision of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Jeffrey W PriestDivision of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Eric William RogierDivision of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Center for Global Health · USLondon School of Hygiene & Tropical Medicine · GBDivision of Parasitic Diseases and Malaria · USCenters for Disease Control and Prevention · USNational Center for Emerging and Zoonotic Infectious Diseases · USUniversité Notre Dame d'Haïti · HT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Integrated surveillance for multiple diseases can be an efficient use of resources and advantageous for national public health programs. Detection of IgG antibodies typically indicates previous exposure to a pathogen but can potentially also serve to assess active infection status. Serological multiplex bead assays have recently been developed to simultaneously evaluate exposure to multiple antigenic targets. Haiti is an island nation in the Caribbean region with multiple endemic infectious diseases, many of which have a paucity of data for population-level prevalence or exposure. Methods: A nationwide serosurvey occurred in Haiti from December 2014 to February 2015. Filter paper blood samples ( Results: Different proportions of the Haiti study population were IgG seropositive to the different targets, with antigens from Conclusions: Multiplex serological assays can provide a wealth of information about population exposure to different infectious diseases. This current Haitian study included IgG targets for arboviral, parasitic, and bacterial infectious diseases representing multiple different modes of host transmission. Some of these infectious diseases had a paucity or complete absence of published serological studies in Haiti. Clear trends of disease burden with respect to age and location in Haiti can be used by national programs and partners for follow-up studies, resource allocation, and intervention planning.

Indexed as

Communicable DiseasesCryptosporidiosisCryptosporidiumElephantiasis, FilarialHaitiHumansImmunoglobulin GSeroepidemiologic StudiesImmunoglobulin GHaitiIgG detectioninfectious diseaseintegrated serosurveillancemultiplex assayseroprevalence

Identifiers

PMID35757611
PMCPMC9218545
OpenAlexW4285742055

What OpenQuestion holds

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LicenceCC BY
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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.