Literature DB >> 28855364

Evidence of cryptic incidence in childhood diseases.

Christian E Gunning1, Matthew J Ferrari2, Erik B Erhardt3, Helen J Wearing4,3.   

Abstract

Persistence and extinction are key processes in infectious disease dynamics that, owing to incomplete reporting, are seldom directly observable. For fully immunizing diseases, reporting probabilities can be readily estimated from demographic records and case reports. Yet reporting probabilities are not sufficient to unambiguously reconstruct disease incidence from case reports. Here, we focus on disease presence (i.e. marginal probability of non-zero incidence), which provides an upper bound on the marginal probability of disease extinction. We examine measles and pertussis in pre-vaccine era United States (US) cities, and describe a conserved scaling relationship between population size, reporting probability and observed presence (i.e. non-zero case reports). We use this relationship to estimate disease presence given perfect reporting, and define cryptic presence as the difference between estimated and observed presence. We estimate that, in early twentieth century US cities, pertussis presence was higher than measles presence across a range of population sizes, and that cryptic presence was common in small cities with imperfect reporting. While the methods employed here are specific to fully immunizing diseases, our results suggest that cryptic incidence deserves careful attention, particularly in diseases with low case counts, poor reporting and longer infectious periods.
© 2017 The Author(s).

Entities:  

Keywords:  disease persistence; incomplete observation; measles; metapopulation; pertussis; stochastic extinction

Mesh:

Year:  2017        PMID: 28855364      PMCID: PMC5577489          DOI: 10.1098/rspb.2017.1268

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  62 in total

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6.  Conserved patterns of incomplete reporting in pre-vaccine era childhood diseases.

Authors:  Christian E Gunning; Erik Erhardt; Helen J Wearing
Journal:  Proc Biol Sci       Date:  2014-11-07       Impact factor: 5.349

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Authors:  M N Mulders; A T Truong; C P Muller
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8.  Disease extinction and community size: modeling the persistence of measles.

Authors:  M J Keeling; B T Grenfell
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9.  Unraveling the Transmission Ecology of Polio.

Authors:  Micaela Martinez-Bakker; Aaron A King; Pejman Rohani
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Authors:  Helen J Wearing; Pejman Rohani
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4.  Estimation and prediction for a mechanistic model of measles transmission using particle filtering and maximum likelihood estimation.

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5.  Oscillatory properties of class C notifiable infectious diseases in China from 2009 to 2021.

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