Evidence map›Paper›PMID 38517912›Full record

ArticlePLoS neglected tropical diseases2024

Assessing vulnerability for future Zika virus outbreaks using seroprevalence data and environmental suitability maps.

Yannik Roell, Laura Pezzi, Anyela Lozano-Parra, Daniel Olson, Jane Messina, Talia Quandelacy, Jan Felix Drexler, Oliver Brady, Morteza Karimzadeh, Thomas Jaenisch

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Yannik RoellCenter for Global Health, Colorado School of Public Health, University of Colorado, Aurora, Colorado, United States of America.
Laura PezziNational Reference Center for Arboviruses, Inserm-IRBA, Marseille, France.
Anyela Lozano-ParraGrupo de Epidemiología Clínica, Universidad Industrial de Santander, Bucaramanga, Colombia.
Daniel OlsonCenter for Global Health, Colorado School of Public Health, University of Colorado, Aurora, Colorado, United States of America.
Jane MessinaSchool of Geography and the Environment, University of Oxford, Oxford, United Kingdom.
Talia QuandelacyDepartment of Epidemiology, University of Colorado, Aurora, Colorado, United States of America.
Jan Felix DrexlerInstitute of Virology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.
Oliver BradyDepartment of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Morteza KarimzadehDepartment of Geography, University of Colorado, Boulder, Colorado, United States of America.
Thomas JaenischCenter for Global Health, Colorado School of Public Health, University of Colorado, Aurora, Colorado, United States of America.ORCID 0000-0001-8252-7444

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2015-17 Zika virus (ZIKV) epidemic in the Americas subsided faster than expected and evolving population immunity was postulated to be the main reason. Herd immunization is suggested to occur around 60-70% seroprevalence, depending on demographic density and climate suitability. However, herd immunity was only documented for a few cities in South America, meaning a substantial portion of the population might still be vulnerable to a future Zika virus outbreak. The aim of our study was to determine the vulnerability of populations to ZIKV by comparing the environmental suitability of ZIKV transmission to the observed seroprevalence, based on published studies. Using a systematic search, we collected seroprevalence and geospatial data for 119 unique locations from 37 studies. Extracting the environmental suitability at each location and converting to a hypothetical expected seroprevalence, we were able to determine the discrepancy between observed and expected. This discrepancy is an indicator of vulnerability and divided into three categories: high risk, low risk, and very low risk. The vulnerability was used to evaluate the level of risk that each location still has for a ZIKV outbreak to occur. Of the 119 unique locations, 69 locations (58%) fell within the high risk category, 47 locations (39%) fell within the low risk category, and 3 locations (3%) fell within the very low risk category. The considerable heterogeneity between environmental suitability and seroprevalence potentially leaves a large population vulnerable to future infection. Vulnerability seems to be especially pronounced at the fringes of the environmental suitability for ZIKV (e.g. Sao Paulo, Brazil). The discrepancies between observed and expected seroprevalence raise the question: "why did the ZIKV epidemic stop with large populations unaffected?". This lack of understanding also highlights that future ZIKV outbreaks currently cannot be predicted with confidence.

Indexed as

Disease OutbreaksZika VirusZika Virus InfectionHumansSeroepidemiologic StudiesSouth America

Identifiers

PMID38517912
PMCPMC10990225

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.