Evidence map›Paper›PMID 33350906›Full record

ArticleEmerging infectious diseases2021

Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso.

Jacqueline K Lim, Mabel Carabali, Tansy Edwards, Ahmed Barro, Jung-Seok Lee, Desire Dahourou, Kang Sung Lee, Teguewende Nikiema, Mee Young Shin, Emmanuel Bonnet and 9 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2021. 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
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. [Clinical aspects of dengue fever in the Savanna region of Togo in 2023].Medecine tropicale et sante internationale · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. From serological surveys to disease burden: a modelling pipeline for Chagas disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  9. Review
  10. 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

19 authors.

Jacqueline K Lim
Mabel Carabali
Tansy Edwards
Ahmed Barro
Jung-Seok Lee
Desire Dahourou
Kang Sung Lee
Teguewende Nikiema
Mee Young Shin
Emmanuel Bonnet
Therese Kagone
Losseni Kaba
Suk Namkung
Paul-André Somé
Jae Seung Yang
Valéry Ridde
In-Kyu Yoon
Neal Alexander
Yaro Seydou

Funding

CIHR ROH-115213Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

Because of limited data on dengue virus in Burkina Faso, we conducted 4 consecutive age-stratified longitudinal serologic surveys, ≈6 months apart, among persons 1-55 years of age, during June 2015-March 2017, which included a 2016 outbreak. The seroconversion rate before the serosurvey enrollment was estimated by binomial regression, taking age as the duration of exposure, and assuming constant force of infection (FOI) over age and calendar time. We calculated FOI between consecutive surveys and rate ratios for potentially associated characteristics based on seroconversion using the duration of intervals. Among 2,897 persons at enrollment, 66.3% were IgG-positive, and estimated annual FOI was 5.95%. Of 1,269 enrollees participating in all 4 serosurveys, 438 were IgG-negative at enrollment. The annualized FOI ranged from 10% to 20% (during the 2016 outbreak). Overall, we observed high FOI for dengue. These results could support decision-making about control and preventive measures for dengue.

Indexed as

DengueDengue VirusBurkina FasoChild, PreschoolDisease OutbreaksHumansInfantAedes mosquitoesAfricaBurkina Fasocross reactivitydengueflavivirusesforce of infectionIgGoutbreakspopulation seroprevalenceregression modelsseroconversionviruses

Identifiers

PMID33350906
PMCPMC7774580

What OpenQuestion holds

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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.