Literature DB >> 26616042

The effects of demographic change on disease transmission and vaccine impact in a household structured population.

Nicholas Geard1, Kathryn Glass2, James M McCaw3, Emma S McBryde4, Kevin B Korb5, Matt J Keeling6, Jodie McVernon3.   

Abstract

The demographic structure of populations in both more developed and less developed countries is changing: increases in life expectancy and declining fertility have led to older populations and smaller households. The implications of these demographic changes for the spread and control of infectious diseases are not fully understood. Here we use an individual based model with realistic and dynamic age and household structure to demonstrate the marked effect that demographic change has on disease transmission at the population and household level. The decline in fertility is associated with a decrease in disease incidence and an increase in the age of first infection, even in the absence of vaccination or other control measures. Although large households become rarer as fertility decreases, we show that there is a proportionate increase in incidence of disease in these households as the accumulation of susceptible clusters increases the potential for explosive outbreaks. By modelling vaccination, we provide a direct comparison of the relative importance of demographic change and vaccination on incidence of disease. We highlight the increased risks associated with unvaccinated households in a low fertility setting if vaccine behaviour is correlated with household membership. We suggest that models that do not account for future demographic change, and especially its effect on household structure, may potentially overestimate the impact of vaccination.
Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Demographic change; Individual based model; Infectious disease; Vaccination

Mesh:

Year:  2015        PMID: 26616042     DOI: 10.1016/j.epidem.2015.08.002

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  17 in total

1.  Reducing respiratory syncytial virus (RSV) hospitalization in a lower-income country by vaccinating mothers-to-be and their households.

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2.  Spatial distribution of mumps in South Korea, 2001-2015: identifying clusters and population risk factors.

Authors:  Y-J Choe; K Min; S-I Cho
Journal:  Epidemiol Infect       Date:  2017-05-08       Impact factor: 4.434

3.  Influence of Population Demography and Immunization History on the Impact of an Antenatal Pertussis Program.

Authors:  Patricia Therese Campbell; Jodie McVernon; Peter McIntyre; Nicholas Geard
Journal:  Clin Infect Dis       Date:  2016-12-01       Impact factor: 9.079

4.  Indigenous Australian household structure: a simple data collection tool and implications for close contact transmission of communicable diseases.

Authors:  Thiripura Vino; Gurmeet R Singh; Belinda Davison; Patricia T Campbell; Michael J Lydeamore; Andrew Robinson; Jodie McVernon; Steven Y C Tong; Nicholas Geard
Journal:  PeerJ       Date:  2017-10-26       Impact factor: 2.984

5.  Estimation of country-level basic reproductive ratios for novel Coronavirus (SARS-CoV-2/COVID-19) using synthetic contact matrices.

Authors:  Joe Hilton; Matt J Keeling
Journal:  PLoS Comput Biol       Date:  2020-07-02       Impact factor: 4.475

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

Authors:  Valentina Marziano; Piero Poletti; Guillaume Béraud; Pierre-Yves Boëlle; Stefano Merler; Vittoria Colizza
Journal:  PLoS Comput Biol       Date:  2018-08-01       Impact factor: 4.475

7.  Modelling population dynamics and seasonal movement to assess and predict the burden of melioidosis.

Authors:  Wiriya Mahikul; Lisa J White; Kittiyod Poovorawan; Ngamphol Soonthornworasiri; Pataporn Sukontamarn; Phetsavanh Chanthavilay; Graham F Medley; Wirichada Pan-Ngum
Journal:  PLoS Negl Trop Dis       Date:  2019-05-09

8.  A Population Dynamic Model to Assess the Diabetes Screening and Reporting Programs and Project the Burden of Undiagnosed Diabetes in Thailand.

Authors:  Wiriya Mahikul; Lisa J White; Kittiyod Poovorawan; Ngamphol Soonthornworasiri; Pataporn Sukontamarn; Phetsavanh Chanthavilay; Wirichada Pan-Ngum; Graham F Medley
Journal:  Int J Environ Res Public Health       Date:  2019-06-21       Impact factor: 3.390

9.  A Synthetic Population for Modelling the Dynamics of Infectious Disease Transmission in American Samoa.

Authors:  Zhijing Xu; Kathryn Glass; Colleen L Lau; Nicholas Geard; Patricia Graves; Archie Clements
Journal:  Sci Rep       Date:  2017-12-01       Impact factor: 4.379

10.  The potential impact of the demographic transition in the Senegal-Gambia region of sub-Saharan Africa on the burden of infectious disease and its potential synergies with control programmes: the case of hepatitis B.

Authors:  John R Williams; Piero Manfredi; Alessia Melegaro
Journal:  BMC Med       Date:  2018-07-25       Impact factor: 8.775

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