Evidence map›Paper›PMID 36909820›Full record

ArticlePNAS nexus2023

Inapparent infections shape the transmission heterogeneity of dengue.

Gonzalo M Vazquez-Prokopec, Amy C Morrison, Valerie Paz-Soldan, Steven T Stoddard, William Koval, Lance A Waller, T Alex Perkins, Alun L Lloyd, Helvio Astete, John Elder and 2 more

Open access · goldAbstract read
In one paragraph

Article in PNAS nexus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-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

9 citing papers in PubMed, 15 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

12 authors at 8 institutions in 2 countries.

Gonzalo M Vazquez-ProkopecDepartment of Environmental Sciences, Emory University, Atlanta, GA 30322, USA.ORCID https://orcid.org/0000-0002-0710-270X
Amy C MorrisonDepartment of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA.
Valerie Paz-SoldanDepartment of Global Community Health and Behavioral Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA.
Steven T StoddardDivision of Health Promotion & Behavioral Sciences, School of Public Health, San Diego State University, San Diego, CA 92182, USA.
William KovalDepartment of Biology, University of Chicago, Chicago, IL 60637, USA.ORCID https://orcid.org/0000-0002-4035-1206
Lance A WallerDepartment of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.ORCID https://orcid.org/0000-0001-5002-8886
T Alex PerkinsDepartment of Biology, University of Notre Dame, South Bend, IN 46556, USA.ORCID https://orcid.org/0000-0002-7518-4014
Alun L LloydBiomathematics Graduate Program and Department of Mathematics, North Carolina State University, Raleigh, NC 27607, USA.
Helvio AsteteVirology Department, Naval Medical Research Unit-6, Iquitos 16003, Peru.ORCID https://orcid.org/0000-0001-6984-7849
John ElderDivision of Health Promotion & Behavioral Sciences, School of Public Health, San Diego State University, San Diego, CA 92182, USA.
Thomas W ScottDepartment of Entomology and Nematology, University of California, Davis, CA 95616, USA.ORCID https://orcid.org/0000-0003-2947-8123
Uriel KitronDepartment of Environmental Sciences, Emory University, Atlanta, GA 30322, USA.
Emory University · USSan Diego State University · USUniversity of California, Davis · USNorth Carolina State University · USTulane University · USUnited States Naval Medical Research Unit SOUTH · PEUniversity of Chicago · USUniversity of Notre Dame · US

Funding

Surveillance Core (B)P01AI098670 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SCOTT, THOMAS WALLACE · 2014 to 2018
$7.9M
Measuring Entomological Risk for DengueR01AI069341 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SCOTT, THOMAS WALLACE · 2006 to 2010
$2.3M
METHODS FOR MEASURING NATURAL DENGUE TRANSMISSION FROM HUMANS TO MOSQUITOESR03AI107446 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LAMBRECHTS, LOUIS, MORRISON, AMY CELESTE · 2013 to 2014
$126k
NIAID NIH HHS P01 AI098670NIAID NIH HHS R01 AI069341NIAID NIH HHS R03 AI107446
6 · The paper itself

Abstract

Transmission heterogeneity, whereby a disproportionate fraction of pathogen transmission events result from a small number of individuals or geographic locations, is an inherent property of many, if not most, infectious disease systems. For vector-borne diseases, transmission heterogeneity is inferred from the distribution of the number of vectors per host, which could lead to significant bias in situations where vector abundance and transmission risk at the household do not correlate, as is the case with dengue virus (DENV). We used data from a contact tracing study to quantify the distribution of DENV acute infections within human activity spaces (AS), the collection of residential locations an individual routinely visits, and quantified measures of virus transmission heterogeneity from two consecutive dengue outbreaks (DENV-4 and DENV-2) that occurred in the city of Iquitos, Peru. Negative-binomial distributions and Pareto fractions showed evidence of strong overdispersion in the number of DENV infections by AS and identified super-spreading units (SSUs): i.e. AS where most infections occurred. Approximately 8% of AS were identified as SSUs, contributing to more than 50% of DENV infections. SSU occurrence was associated more with DENV-2 infection than with DENV-4, a predominance of inapparent infections (74% of all infections), households with high

Indexed as

arbovirusmobilitysuper-spreadingtransmission heterogeneity

Identifiers

PMID36909820
PMCPMC10003742
OpenAlexW4318614057

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.