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Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology

BACKGROUND: Knowing the national disease burden of severe influenza in low-income countries can inform policy decisions around influenza treatment and prevention. We present a novel methodology using locally generated data for estimating this burden. METHODS AND FINDINGS: This method begins with cal...

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Autores principales: Fuller, James A., Summers, Aimee, Katz, Mark A., Lindblade, Kim A., Njuguna, Henry, Arvelo, Wences, Khagayi, Sammy, Emukule, Gideon, Linares-Perez, Nivaldo, McCracken, John, Nokes, D. James, Ngama, Mwanajuma, Kazungu, Sidi, Mott, Joshua A., Olsen, Sonja J., Widdowson, Marc-Alain, Feikin, Daniel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3584100/
https://www.ncbi.nlm.nih.gov/pubmed/23573177
http://dx.doi.org/10.1371/journal.pone.0056882
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author Fuller, James A.
Summers, Aimee
Katz, Mark A.
Lindblade, Kim A.
Njuguna, Henry
Arvelo, Wences
Khagayi, Sammy
Emukule, Gideon
Linares-Perez, Nivaldo
McCracken, John
Nokes, D. James
Ngama, Mwanajuma
Kazungu, Sidi
Mott, Joshua A.
Olsen, Sonja J.
Widdowson, Marc-Alain
Feikin, Daniel R.
author_facet Fuller, James A.
Summers, Aimee
Katz, Mark A.
Lindblade, Kim A.
Njuguna, Henry
Arvelo, Wences
Khagayi, Sammy
Emukule, Gideon
Linares-Perez, Nivaldo
McCracken, John
Nokes, D. James
Ngama, Mwanajuma
Kazungu, Sidi
Mott, Joshua A.
Olsen, Sonja J.
Widdowson, Marc-Alain
Feikin, Daniel R.
author_sort Fuller, James A.
collection PubMed
description BACKGROUND: Knowing the national disease burden of severe influenza in low-income countries can inform policy decisions around influenza treatment and prevention. We present a novel methodology using locally generated data for estimating this burden. METHODS AND FINDINGS: This method begins with calculating the hospitalized severe acute respiratory illness (SARI) incidence for children <5 years old and persons ≥5 years old from population-based surveillance in one province. This base rate of SARI is then adjusted for each province based on the prevalence of risk factors and healthcare-seeking behavior. The percentage of SARI with influenza virus detected is determined from provincial-level sentinel surveillance and applied to the adjusted provincial rates of hospitalized SARI. Healthcare-seeking data from healthcare utilization surveys is used to estimate non-hospitalized influenza-associated SARI. Rates of hospitalized and non-hospitalized influenza-associated SARI are applied to census data to calculate the national number of cases. The method was field-tested in Kenya, and validated in Guatemala, using data from August 2009–July 2011. In Kenya (2009 population 38.6 million persons), the annual number of hospitalized influenza-associated SARI cases ranged from 17,129–27,659 for children <5 years old (2.9–4.7 per 1,000 persons) and 6,882–7,836 for persons ≥5 years old (0.21–0.24 per 1,000 persons), depending on year and base rate used. In Guatemala (2011 population 14.7 million persons), the annual number of hospitalized cases of influenza-associated pneumonia ranged from 1,065–2,259 (0.5–1.0 per 1,000 persons) among children <5 years old and 779–2,252 cases (0.1–0.2 per 1,000 persons) for persons ≥5 years old, depending on year and base rate used. In both countries, the number of non-hospitalized influenza-associated cases was several-fold higher than the hospitalized cases. CONCLUSIONS: Influenza virus was associated with a substantial amount of severe disease in Kenya and Guatemala. This method can be performed in most low and lower-middle income countries.
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spelling pubmed-35841002013-04-09 Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology Fuller, James A. Summers, Aimee Katz, Mark A. Lindblade, Kim A. Njuguna, Henry Arvelo, Wences Khagayi, Sammy Emukule, Gideon Linares-Perez, Nivaldo McCracken, John Nokes, D. James Ngama, Mwanajuma Kazungu, Sidi Mott, Joshua A. Olsen, Sonja J. Widdowson, Marc-Alain Feikin, Daniel R. PLoS One Research Article BACKGROUND: Knowing the national disease burden of severe influenza in low-income countries can inform policy decisions around influenza treatment and prevention. We present a novel methodology using locally generated data for estimating this burden. METHODS AND FINDINGS: This method begins with calculating the hospitalized severe acute respiratory illness (SARI) incidence for children <5 years old and persons ≥5 years old from population-based surveillance in one province. This base rate of SARI is then adjusted for each province based on the prevalence of risk factors and healthcare-seeking behavior. The percentage of SARI with influenza virus detected is determined from provincial-level sentinel surveillance and applied to the adjusted provincial rates of hospitalized SARI. Healthcare-seeking data from healthcare utilization surveys is used to estimate non-hospitalized influenza-associated SARI. Rates of hospitalized and non-hospitalized influenza-associated SARI are applied to census data to calculate the national number of cases. The method was field-tested in Kenya, and validated in Guatemala, using data from August 2009–July 2011. In Kenya (2009 population 38.6 million persons), the annual number of hospitalized influenza-associated SARI cases ranged from 17,129–27,659 for children <5 years old (2.9–4.7 per 1,000 persons) and 6,882–7,836 for persons ≥5 years old (0.21–0.24 per 1,000 persons), depending on year and base rate used. In Guatemala (2011 population 14.7 million persons), the annual number of hospitalized cases of influenza-associated pneumonia ranged from 1,065–2,259 (0.5–1.0 per 1,000 persons) among children <5 years old and 779–2,252 cases (0.1–0.2 per 1,000 persons) for persons ≥5 years old, depending on year and base rate used. In both countries, the number of non-hospitalized influenza-associated cases was several-fold higher than the hospitalized cases. CONCLUSIONS: Influenza virus was associated with a substantial amount of severe disease in Kenya and Guatemala. This method can be performed in most low and lower-middle income countries. Public Library of Science 2013-02-27 /pmc/articles/PMC3584100/ /pubmed/23573177 http://dx.doi.org/10.1371/journal.pone.0056882 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
Fuller, James A.
Summers, Aimee
Katz, Mark A.
Lindblade, Kim A.
Njuguna, Henry
Arvelo, Wences
Khagayi, Sammy
Emukule, Gideon
Linares-Perez, Nivaldo
McCracken, John
Nokes, D. James
Ngama, Mwanajuma
Kazungu, Sidi
Mott, Joshua A.
Olsen, Sonja J.
Widdowson, Marc-Alain
Feikin, Daniel R.
Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology
title Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology
title_full Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology
title_fullStr Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology
title_full_unstemmed Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology
title_short Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology
title_sort estimation of the national disease burden of influenza-associated severe acute respiratory illness in kenya and guatemala: a novel methodology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3584100/
https://www.ncbi.nlm.nih.gov/pubmed/23573177
http://dx.doi.org/10.1371/journal.pone.0056882
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