Evidence map›Paper›PMID 30787170›Full record

ArticleScience translational medicine2019

Estimating cholera incidence with cross-sectional serology.

Andrew S Azman, Justin Lessler, Francisco J Luquero, Taufiqur Rahman Bhuiyan, Ashraful Islam Khan, Fahima Chowdhury, Alamgir Kabir, Marc Gurwith, Ana A Weil, Jason B Harris and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Science translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Long-Term Kinetics of Serological Antibodies againstInternational journal of environmental research and public health · 2022
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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

14 authors at 5 institutions in 3 countries.

Andrew S AzmanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. azman@jhu.edu.ORCID 0000-0001-8662-9077
Justin LesslerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.ORCID 0000-0002-9741-8109
Francisco J LuqueroEpicentre, Paris 75012, France.ORCID 0000-0003-0885-8418
Taufiqur Rahman BhuiyanInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1212, Bangladesh.ORCID 0000-0003-3755-4763
Ashraful Islam KhanInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1212, Bangladesh.
Fahima ChowdhuryInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1212, Bangladesh.ORCID 0000-0002-7082-0720
Alamgir KabirInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1212, Bangladesh.ORCID 0000-0002-3762-8307
Marc GurwithPaxVax Inc., Redwood City, CA 94065, USA.
Ana A WeilDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA 02114, USA .ORCID 0000-0002-6170-4306
Jason B HarrisDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA 02114, USA .
Stephen B CalderwoodDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA 02114, USA .ORCID 0000-0002-2083-7153
Edward T RyanDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA 02114, USA .
Firdausi QadriInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1212, Bangladesh.ORCID 0000-0002-8928-9888
Daniel T LeungDivision of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, UT 84132, USA.ORCID 0000-0001-8401-0801
International Centre for Diarrhoeal Disease Research · BDHarvard University · USJohns Hopkins University · USPaxVax (United States) · USUniversity of Utah · US

Funding

Protecutive immunity to human cholera in BangladeshU01AI058935 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CALDERWOOD, STEPHEN B., RYAN, EDWARD T. · 2003 to 2014
$7.8M
Training program in vaccine development and public healthD43TW005572 · FIC · MASSACHUSETTS GENERAL HOSPITAL · PI QADRI, FIRDAUSI, RYAN, EDWARD T. · 2000 to 2025
$5.4M
O-Specific Polysaccharide Responses and CholeraR37AI106878 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Edward T. Ryan · 2020 to 2026
$5.1M
Innate and early B cell responses to V. choleraeR01AI103055 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI HARRIS, JASON B · 2014 to 2018
$3.9M
O-Specific Polysaccharide Responses and CholeraR01AI106878 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI RYAN, EDWARD T. · 2014 to 2018
$3.7M
Estimating Cholera Burden with Cross-sectional Immunologic DataR01AI135115 · NIAID · UNIVERSITY OF UTAH · PI LEUNG, DANIEL TED · 2018 to 2022
$3.4M
Mucosal associated invariant T (MAIT) cells in Vibrio cholerae infection and vaccinationR01AI130378 · NIAID · UNIVERSITY OF UTAH · PI LEUNG, DANIEL TED · 2017 to 2021
$1.8M
The gut microbiome and susceptibility to Vibrio choleraeK08AI123494 · NIAID · UNIVERSITY OF WASHINGTON · PI WEIL, ANA A · 2016 to 2020
$967k
Immune Responses to Vibrio Cholerae in ChildrenK08AI100923 · NIAID · UNIVERSITY OF UTAH · PI LEUNG, DANIEL TED · 2012 to 2016
$686k
Humoral and adaptive immune responses study in Vibrio cholerae infectionK43TW010362 · FIC · INTERNATIONAL CTR/DIARRHOEAL DIS RES · PI BHUIYAN, MD TAUFIQUR RAHMAN · 2016 to 2020
$359k
FIC NIH HHS D43 TW005572FIC NIH HHS K43 TW010362NIAID NIH HHS K08 AI100923NIAID NIH HHS K08 AI123494NIAID NIH HHS R01 AI103055NIAID NIH HHS R01 AI106878NIAID NIH HHS R01 AI130378NIAID NIH HHS R01 AI135115NIAID NIH HHS R37 AI106878NIAID NIH HHS U01 AI058935
6 · The paper itself

Abstract

The development of new approaches to cholera control relies on an accurate understanding of cholera epidemiology. However, most information on cholera incidence lacks laboratory confirmation and instead relies on surveillance systems reporting medically attended acute watery diarrhea. If recent infections could be identified using serological markers, cross-sectional serosurveys would offer an alternative approach to measuring incidence. Here, we used 1569 serologic samples from a cohort of cholera cases and their uninfected contacts in Bangladesh to train machine learning models to identify recent

Indexed as

Serologic TestsAdolescentAdultAntibodies, BacterialAntibody FormationArea Under CurveBangladeshBiomarkersChildChild, PreschoolCholeraCohort StudiesComputer SimulationCross-Sectional StudiesHumansIncidenceAntibodies, BacterialBiomarkers

Identifiers

PMID30787170
PMCPMC6430585
OpenAlexW2916581654

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.