Evidence map›Paper›PMID 28675351›Full record

ArticleEpidemiology and infection2017

On the origin and timing of Zika virus introduction in Brazil.

E Massad, M Nascimento Burattini, K Khan, C J Struchiner, F A B Coutinho, A Wilder-Smith

Open access · bronzeAbstract read
In one paragraph

Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. The use and reporting of airline passenger data for infectious disease modelling: a systematic review.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    Pooled it
  2. Article
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  5. Article
  6. Article
  7. Article
  8. Infectious disease in an era of global change.Nature reviews. Microbiology · 2022
    Review
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. mBio · 2018
    Article
  20. 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

6 authors at 6 institutions in 6 countries.

E MassadSchool of Medicine,University of São Paulo,Brazil.
M Nascimento BurattiniSchool of Medicine,University of São Paulo,Brazil.
K KhanLi Ka Shing Knowledge Institute, St Michael's Hospital,Toronto,Canada.
C J StruchinerProgramme of Scientific Computation, Fundação Oswaldo Cruz,Rio de Janeiro,Brazil.
F A B CoutinhoSchool of Medicine,University of São Paulo,Brazil.
A Wilder-SmithInstitute of Public Health,University of Heidelberg,Germany.
Fundação Oswaldo Cruz · BRHeidelberg University · DELondon School of Hygiene & Tropical Medicine · GBSt. Michael's Hospital · CAUniversidade de São Paulo · BRUniversidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The timing and origin of Zika virus (ZIKV) introduction in Brazil has been the subject of controversy. Initially, it was assumed that the virus was introduced during the FIFA World Cup in June-July 2014. Then, it was speculated that ZIKV may have been introduced by athletes from French Polynesia (FP) who competed in a canoe race in Rio de Janeiro in August 2014. We attempted to apply mathematical models to determine the most likely time window of ZIKV introduction in Brazil. Given that the timing and origin of ZIKV introduction in Brazil may be a politically sensitive issue, its determination (or the provision of a plausible hypothesis) may help to prevent undeserved blame. We used a simple mathematical model to estimate the force of infection and the corresponding individual probability of being infected with ZIKV in FP. Taking into account the air travel volume from FP to Brazil between October 2013 and March 2014, we estimated the expected number of infected travellers arriving at Brazilian airports during that period. During the period between December 2013 and February 2014, 51 individuals travelled from FP airports to 11 Brazilian cities. Basing on the calculated force of ZIKV infection (the per capita rate of new infections per time unit) and risk of infection (probability of at least one new infection), we estimated that 18 (95% CI 12-22) individuals who arrived in seven of the evaluated cities were infected. When basic ZIKV reproduction numbers greater than one were assumed in the seven evaluated cities, ZIKV could have been introduced in any one of the cities. Based on the force of infection in FP, basic reproduction ZIKV number in selected Brazilian cities, and estimated travel volume, we concluded that ZIKV was most likely introduced and established in Brazil by infected travellers arriving from FP in the period between October 2013 and March 2014, which was prior to the two aforementioned sporting events.

Indexed as

Disease OutbreaksTravelBasic Reproduction NumberBrazilHumansModels, TheoreticalPolynesiaRiskZika VirusZika Virus InfectionForce of infectionFrench Polynesiamathematical modelsriskZika virus

Identifiers

PMID28675351
PMCPMC9148813
OpenAlexW2624833355

What OpenQuestion holds

Textmetadata
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.