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Modeling the impact of changes in day-care contact patterns on the dynamics of varicella transmission in France between 1991 and 2015
- Source :
- PLoS Computational Biology, PLoS Computational Biology, Public Library of Science, 2018, 14 (8), pp.e1006334. ⟨10.1371/journal.pcbi.1006334⟩, PLoS Computational Biology, 2018, 14 (8), pp.e1006334. ⟨10.1371/journal.pcbi.1006334⟩, PLoS Computational Biology, Vol 14, Iss 8, p e1006334 (2018)
- Publication Year :
- 2018
- Publisher :
- Public Library of Science, 2018.
-
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.<br />Author summary During the last decades, an increasing circulation of varicella in the early childhood has been observed in France. A plausible explanation of this trend may rely on the progressive increase of day-care attendance in the past years, which could have anticipated the exposure of young children to the infection. We propose a retrospective modelling study to assess whether the varicella dynamics in France since 1991 can be explained in terms of increasing day-care contacts of children under 3 years of age. To this aim, we develop a model including demographic changes and variations in age-specific contact rates over time. Our findings suggest that a 30% increase of day-care contacts in early childhood can explain the observed epidemiological trends. Obtained results highlight that temporal changes in contact patterns can significantly affect the transmission of childhood infectious diseases and should therefore be considered when investigating medium and long-term epidemiological patterns. A better understanding of the interplay between changing social behavior and disease transmission can help the interpretation of surveillance data and the design of effective and targeted intervention strategies.
- Subjects :
- 0301 basic medicine
Male
Herpesvirus 3, Human
Epidemiology
Social Sciences
Day care
Pathology and Laboratory Medicine
Geographical locations
law.invention
Families
0302 clinical medicine
Chickenpox
Sociology
law
Medicine and Health Sciences
European commission
030212 general & internal medicine
lcsh:QH301-705.5
Children
Schools
Ecology
Incidence
Vaccination
Age Factors
3. Good health
Europe
Transmission (mechanics)
Infectious Diseases
Computational Theory and Mathematics
Medical Microbiology
Modeling and Simulation
Viral Pathogens
Child, Preschool
Viruses
Female
France
Pathogens
Research Article
Herpesviruses
Death Rates
[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]
Library science
Microbiology
History, 21st Century
Varicella Zoster Virus
Infectious Disease Epidemiology
Education
03 medical and health sciences
Cellular and Molecular Neuroscience
Age groups
Population Metrics
Political science
Genetics
Disease Transmission, Infectious
Humans
[INFO]Computer Science [cs]
European Union
Molecular Biology
Microbial Pathogens
Ecology, Evolution, Behavior and Systematics
Data collection
Biology and life sciences
Population Biology
Organisms
Infant, Newborn
Infant
Child Day Care Centers
History, 20th Century
Models, Theoretical
030104 developmental biology
lcsh:Biology (General)
Age Groups
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Population Groupings
People and places
DNA viruses
Subjects
Details
- Language :
- English
- ISSN :
- 15537358 and 1553734X
- Volume :
- 14
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....10939cb4bc210c328cf2de9d2312a7be