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Detecting Differential Transmissibilities That Affect the Size of Self-Limited Outbreaks
Our ability to respond appropriately to infectious diseases is enhanced by identifying differences in the potential for transmitting infection between individuals. Here, we identify epidemiological traits of self-limited infections (i.e. infections with an effective reproduction number satisfying [I...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214794/ https://www.ncbi.nlm.nih.gov/pubmed/25356657 http://dx.doi.org/10.1371/journal.ppat.1004452 |
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author | Blumberg, Seth Funk, Sebastian Pulliam, Juliet R. C. |
author_facet | Blumberg, Seth Funk, Sebastian Pulliam, Juliet R. C. |
author_sort | Blumberg, Seth |
collection | PubMed |
description | Our ability to respond appropriately to infectious diseases is enhanced by identifying differences in the potential for transmitting infection between individuals. Here, we identify epidemiological traits of self-limited infections (i.e. infections with an effective reproduction number satisfying [Image: see text]) that correlate with transmissibility. Our analysis is based on a branching process model that permits statistical comparison of both the strength and heterogeneity of transmission for two distinct types of cases. Our approach provides insight into a variety of scenarios, including the transmission of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in the Arabian peninsula, measles in North America, pre-eradication smallpox in Europe, and human monkeypox in the Democratic Republic of the Congo. When applied to chain size data for MERS-CoV transmission before 2014, our method indicates that despite an apparent trend towards improved control, there is not enough statistical evidence to indicate that [Image: see text] has declined with time. Meanwhile, chain size data for measles in the United States and Canada reveal statistically significant geographic variation in [Image: see text], suggesting that the timing and coverage of national vaccination programs, as well as contact tracing procedures, may shape the size distribution of observed infection clusters. Infection source data for smallpox suggests that primary cases transmitted more than secondary cases, and provides a quantitative assessment of the effectiveness of control interventions. Human monkeypox, on the other hand, does not show evidence of differential transmission between animals in contact with humans, primary cases, or secondary cases, which assuages the concern that social mixing can amplify transmission by secondary cases. Lastly, we evaluate surveillance requirements for detecting a change in the human-to-human transmission of monkeypox since the cessation of cross-protective smallpox vaccination. Our studies lay the foundation for future investigations regarding how infection source, vaccination status or other putative transmissibility traits may affect self-limited transmission. |
format | Online Article Text |
id | pubmed-4214794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42147942014-11-05 Detecting Differential Transmissibilities That Affect the Size of Self-Limited Outbreaks Blumberg, Seth Funk, Sebastian Pulliam, Juliet R. C. PLoS Pathog Research Article Our ability to respond appropriately to infectious diseases is enhanced by identifying differences in the potential for transmitting infection between individuals. Here, we identify epidemiological traits of self-limited infections (i.e. infections with an effective reproduction number satisfying [Image: see text]) that correlate with transmissibility. Our analysis is based on a branching process model that permits statistical comparison of both the strength and heterogeneity of transmission for two distinct types of cases. Our approach provides insight into a variety of scenarios, including the transmission of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in the Arabian peninsula, measles in North America, pre-eradication smallpox in Europe, and human monkeypox in the Democratic Republic of the Congo. When applied to chain size data for MERS-CoV transmission before 2014, our method indicates that despite an apparent trend towards improved control, there is not enough statistical evidence to indicate that [Image: see text] has declined with time. Meanwhile, chain size data for measles in the United States and Canada reveal statistically significant geographic variation in [Image: see text], suggesting that the timing and coverage of national vaccination programs, as well as contact tracing procedures, may shape the size distribution of observed infection clusters. Infection source data for smallpox suggests that primary cases transmitted more than secondary cases, and provides a quantitative assessment of the effectiveness of control interventions. Human monkeypox, on the other hand, does not show evidence of differential transmission between animals in contact with humans, primary cases, or secondary cases, which assuages the concern that social mixing can amplify transmission by secondary cases. Lastly, we evaluate surveillance requirements for detecting a change in the human-to-human transmission of monkeypox since the cessation of cross-protective smallpox vaccination. Our studies lay the foundation for future investigations regarding how infection source, vaccination status or other putative transmissibility traits may affect self-limited transmission. Public Library of Science 2014-10-30 /pmc/articles/PMC4214794/ /pubmed/25356657 http://dx.doi.org/10.1371/journal.ppat.1004452 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Blumberg, Seth Funk, Sebastian Pulliam, Juliet R. C. Detecting Differential Transmissibilities That Affect the Size of Self-Limited Outbreaks |
title | Detecting Differential Transmissibilities That Affect the Size of Self-Limited Outbreaks |
title_full | Detecting Differential Transmissibilities That Affect the Size of Self-Limited Outbreaks |
title_fullStr | Detecting Differential Transmissibilities That Affect the Size of Self-Limited Outbreaks |
title_full_unstemmed | Detecting Differential Transmissibilities That Affect the Size of Self-Limited Outbreaks |
title_short | Detecting Differential Transmissibilities That Affect the Size of Self-Limited Outbreaks |
title_sort | detecting differential transmissibilities that affect the size of self-limited outbreaks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214794/ https://www.ncbi.nlm.nih.gov/pubmed/25356657 http://dx.doi.org/10.1371/journal.ppat.1004452 |
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