Literature DB >> 31056052

Quantifying the consequences of measles-induced immune modulation for whooping cough epidemiology.

Navideh Noori1,2, Pejman Rohani1,2.   

Abstract

Measles, an acute viral disease, continues to be an important cause of childhood mortality worldwide. Infection with the measles virus is thought to be associated with a transient but profound period of immune suppression. Recently, it has been claimed that measles-induced immune manipulation lasts for about 30 months and results in increased susceptibility to other co-circulating infectious diseases and more severe disease outcomes upon infection. We tested this hypothesis using model-based inference applied to parallel historical records of measles and whooping cough mortality and morbidity. Specifically, we used maximum likelihood to fit a mechanistic transmission model to incidence data from three different eras, spanning mortality records from 1904 to 1912 and 1922 to 1932 and morbidity records from 1946 to 1956. Our aim was to quantify the timing, severity and pathogenesis impacts of measles-induced immune modulation and their consequences for whooping cough epidemiology across a temporal gradient of measles transmission. We identified an increase in susceptibility to whooping cough following recent measles infection by approximately 85-, 10- and 36-fold for the three eras, respectively, although the duration of this effect was variable. Overall, while the immune impacts of measles may be strong and clearly evident at the individual level, their epidemiological signature in these data appears both modest and inconsistent. This article is part of the theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes'. This issue is linked with the subsequent theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control'.

Entities:  

Keywords:  immune suppression; maximum likelihood; measles; polymicrobial system; transmission model; whooping cough

Mesh:

Year:  2019        PMID: 31056052      PMCID: PMC6553609          DOI: 10.1098/rstb.2018.0270

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  43 in total

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Journal:  Sci Transl Med       Date:  2018-03-28       Impact factor: 17.956

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Authors:  Brigitta M Laksono; Rory D de Vries; Stephen McQuaid; W Paul Duprex; Rik L de Swart
Journal:  Viruses       Date:  2016-07-28       Impact factor: 5.048

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Journal:  Lancet       Date:  2005 Jan 15-21       Impact factor: 79.321

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Journal:  Viruses       Date:  2016-10-12       Impact factor: 5.048

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  3 in total

1.  Preface to theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control'.

Authors:  R N Thompson; Ellen Brooks-Pollock
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-08       Impact factor: 6.237

2.  Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants.

Authors:  Robin N Thompson; Ellen Brooks-Pollock
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-24       Impact factor: 6.237

3.  The pitfalls of inferring virus-virus interactions from co-detection prevalence data: application to influenza and SARS-CoV-2.

Authors:  Matthieu Domenech de Cellès; Elizabeth Goult; Jean-Sebastien Casalegno; Sarah C Kramer
Journal:  Proc Biol Sci       Date:  2022-01-12       Impact factor: 5.349

  3 in total

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