Evidence map›Paper›PMID 30067732›Full record

ArticlePLoS computational biology2018

Modeling the impact of changes in day-care contact patterns on the dynamics of varicella transmission in France between 1991 and 2015.

Valentina Marziano, Piero Poletti, Guillaume Béraud, Pierre-Yves Boëlle, Stefano Merler, Vittoria Colizza

Open access · goldAbstract readHistorical Article
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
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  5. Contact Mixing Patterns and Population Movement among Migrant Workers in an Urban Setting in Thailand.International journal of environmental research and public health · 2020
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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

6 authors at 3 institutions in 3 countries.

Valentina MarzianoCenter for Information Technology, Bruno Kessler Foundation, Trento, Italy.ORCID 0000-0003-2842-7906
Piero PolettiCenter for Information Technology, Bruno Kessler Foundation, Trento, Italy.ORCID 0000-0001-5453-5199
Guillaume BéraudMédecine Interne et Maladies Infectieuses, Centre Hospitalier de Poitiers, Poitiers, France.
Pierre-Yves BoëlleINSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Paris, France.
Stefano MerlerCenter for Information Technology, Bruno Kessler Foundation, Trento, Italy.ORCID 0000-0002-5117-0611
Vittoria ColizzaINSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Paris, France.
Fondazione Bruno Kessler · ITInserm · FRUniversité de Lille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Annual incidence rates of varicella infection in the general population in France have been rather stable since 1991 when clinical surveillance started. Rates however show a statistically significant increase over time in children aged 0-3 years, and a decline in older individuals. A significant increase in day-care enrolment and structures' capacity in France was also observed in the last decade. In this work we investigate the potential interplay between an increase of contacts of young children possibly caused by earlier socialization in the community and varicella transmission dynamics. To this aim, we develop an age-structured mathematical model, informed with historical demographic data and contact matrix estimates in the country, accounting for longitudinal linear increase of early childhood contacts. While the reported overall varicella incidence is well reproduced independently of mixing variations, age-specific empirical trends are better captured by accounting for an increase in contacts among pre-school children in the last decades. We found that the varicella data are consistent with a 30% increase in the number of contacts at day-care facilities, which would imply a 50% growth in the contribution of 0-3y old children to overall yearly infections in 1991-2015. Our findings suggest that an earlier exposure to pathogens due to changes in day-care contact patterns, represents a plausible explanation for the epidemiological patterns observed in France. Obtained results suggest that considering temporal changes in social factors in addition to demographic ones is critical to correctly interpret varicella transmission dynamics.

Indexed as

Age FactorsChickenpoxChild Day Care CentersChild, PreschoolDisease Transmission, InfectiousFemaleFranceHerpesvirus 3, HumanHistory, 20th CenturyHistory, 21st CenturyHumansIncidenceInfantInfant, NewbornMaleModels, Theoretical

Identifiers

PMID30067732
PMCPMC6089450
OpenAlexW2885648235

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.