Cargando…
Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative example
Emerging and re-emerging infections such as SARS (2003) and pandemic H1N1 (2009) have caused concern for public health researchers and policy makers due to the increased burden of these diseases on health care systems. This concern has prompted the use of mathematical models to evaluate strategies t...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570805/ https://www.ncbi.nlm.nih.gov/pubmed/26372219 http://dx.doi.org/10.1371/journal.pone.0137959 |
_version_ | 1782390268496969728 |
---|---|
author | Kwok, Kin On Davoudi, Bahman Riley, Steven Pourbohloul, Babak |
author_facet | Kwok, Kin On Davoudi, Bahman Riley, Steven Pourbohloul, Babak |
author_sort | Kwok, Kin On |
collection | PubMed |
description | Emerging and re-emerging infections such as SARS (2003) and pandemic H1N1 (2009) have caused concern for public health researchers and policy makers due to the increased burden of these diseases on health care systems. This concern has prompted the use of mathematical models to evaluate strategies to control disease spread, making these models invaluable tools to identify optimal intervention strategies. A particularly important quantity in infectious disease epidemiology is the basic reproduction number, R(0.) Estimation of this quantity is crucial for effective control responses in the early phase of an epidemic. In our previous study, an approach for estimating the basic reproduction number in real time was developed. This approach uses case notification data and the structure of potential transmission contacts to accurately estimate R(0) from the limited amount of information available at the early stage of an outbreak. Based on this approach, we extend the existing methodology; the most recent method features intra- and inter-age groups contact heterogeneity. Given the number of newly reported cases at the early stage of the outbreak, with parsimony assumptions on removal distribution and infectivity profile of the diseases, experiments to estimate real time R(0) under different levels of intra- and inter-group contact heterogeneity using two age groups are presented. We show that the new method converges more quickly to the actual value of R(0) than the previous one, in particular when there is high-level intra-group and inter-group contact heterogeneity. With the age specific contact patterns, number of newly reported cases, removal distribution, and information about the natural history of the 2009 pandemic influenza in Hong Kong, we also use the extended model to estimate R(0) and age-specific R(0). |
format | Online Article Text |
id | pubmed-4570805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45708052015-09-18 Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative example Kwok, Kin On Davoudi, Bahman Riley, Steven Pourbohloul, Babak PLoS One Research Article Emerging and re-emerging infections such as SARS (2003) and pandemic H1N1 (2009) have caused concern for public health researchers and policy makers due to the increased burden of these diseases on health care systems. This concern has prompted the use of mathematical models to evaluate strategies to control disease spread, making these models invaluable tools to identify optimal intervention strategies. A particularly important quantity in infectious disease epidemiology is the basic reproduction number, R(0.) Estimation of this quantity is crucial for effective control responses in the early phase of an epidemic. In our previous study, an approach for estimating the basic reproduction number in real time was developed. This approach uses case notification data and the structure of potential transmission contacts to accurately estimate R(0) from the limited amount of information available at the early stage of an outbreak. Based on this approach, we extend the existing methodology; the most recent method features intra- and inter-age groups contact heterogeneity. Given the number of newly reported cases at the early stage of the outbreak, with parsimony assumptions on removal distribution and infectivity profile of the diseases, experiments to estimate real time R(0) under different levels of intra- and inter-group contact heterogeneity using two age groups are presented. We show that the new method converges more quickly to the actual value of R(0) than the previous one, in particular when there is high-level intra-group and inter-group contact heterogeneity. With the age specific contact patterns, number of newly reported cases, removal distribution, and information about the natural history of the 2009 pandemic influenza in Hong Kong, we also use the extended model to estimate R(0) and age-specific R(0). Public Library of Science 2015-09-15 /pmc/articles/PMC4570805/ /pubmed/26372219 http://dx.doi.org/10.1371/journal.pone.0137959 Text en © 2015 Kwok et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kwok, Kin On Davoudi, Bahman Riley, Steven Pourbohloul, Babak Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative example |
title | Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative example |
title_full | Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative example |
title_fullStr | Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative example |
title_full_unstemmed | Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative example |
title_short | Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative example |
title_sort | early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: using data from hong kong 2009 h1n1 pandemic influenza as an illustrative example |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570805/ https://www.ncbi.nlm.nih.gov/pubmed/26372219 http://dx.doi.org/10.1371/journal.pone.0137959 |
work_keys_str_mv | AT kwokkinon earlyrealtimeestimationofthebasicreproductionnumberofemergingorreemerginginfectiousdiseasesinacommunitywithheterogeneouscontactpatternusingdatafromhongkong2009h1n1pandemicinfluenzaasanillustrativeexample AT davoudibahman earlyrealtimeestimationofthebasicreproductionnumberofemergingorreemerginginfectiousdiseasesinacommunitywithheterogeneouscontactpatternusingdatafromhongkong2009h1n1pandemicinfluenzaasanillustrativeexample AT rileysteven earlyrealtimeestimationofthebasicreproductionnumberofemergingorreemerginginfectiousdiseasesinacommunitywithheterogeneouscontactpatternusingdatafromhongkong2009h1n1pandemicinfluenzaasanillustrativeexample AT pourbohloulbabak earlyrealtimeestimationofthebasicreproductionnumberofemergingorreemerginginfectiousdiseasesinacommunitywithheterogeneouscontactpatternusingdatafromhongkong2009h1n1pandemicinfluenzaasanillustrativeexample |