Cargando…
Determining the Provincial and National Burden of Influenza-Associated Severe Acute Respiratory Illness in South Africa Using a Rapid Assessment Methodology
Local disease burden data are necessary to set national influenza vaccination policy. In 2010 the population of South Africa was 50 million and the HIV prevalence was 11%. We used a previously developed methodology to determine severe influenza burden in South Africa. Hospitalized severe acute respi...
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/PMC4496064/ https://www.ncbi.nlm.nih.gov/pubmed/26154306 http://dx.doi.org/10.1371/journal.pone.0132078 |
_version_ | 1782380338784239616 |
---|---|
author | Murray, Jillian Cohen, Adam Walaza, Sibongile Groome, Michelle Madhi, Shabir Variava, Ebrahim Kahn, Kathleen Dawood, Halima Tempia, Stefano Tshangela, Akhona Venter, Marietje Feikin, Daniel Cohen, Cheryl |
author_facet | Murray, Jillian Cohen, Adam Walaza, Sibongile Groome, Michelle Madhi, Shabir Variava, Ebrahim Kahn, Kathleen Dawood, Halima Tempia, Stefano Tshangela, Akhona Venter, Marietje Feikin, Daniel Cohen, Cheryl |
author_sort | Murray, Jillian |
collection | PubMed |
description | Local disease burden data are necessary to set national influenza vaccination policy. In 2010 the population of South Africa was 50 million and the HIV prevalence was 11%. We used a previously developed methodology to determine severe influenza burden in South Africa. Hospitalized severe acute respiratory illness (SARI) incidence was calculated, stratified by HIV status, for four age groups using data from population-based surveillance in one site situated in Gauteng Province for 2009–2011. These rates were adjusted for each of the remaining 8 provinces based on their prevalence of risk factors for pneumonia and healthcare-seeking behavior. We estimated non-hospitalized influenza-associated SARI from healthcare utilization surveys at two sites and used the percent of SARI cases positive for influenza from sentinel surveillance to derive the influenza-associated SARI rate. We applied rates of hospitalized and non-hospitalized influenza-associated SARI to census data to calculate the national number of cases. The percent of SARI cases that tested positive for influenza ranged from 7–17% depending on age group, year, province and HIV status. In 2010, there were an estimated 21,555 total severe influenza cases in HIV-uninfected individuals and 13,876 in HIV-infected individuals. In 2011, there were an estimated 29,892 total severe influenza cases in HIV-uninfected individuals and 17,289 in HIV-infected individuals. The incidence of influenza-associated SARI was highest in children <5 years and was higher in HIV-infected than HIV-uninfected persons in all age groups. Influenza virus was associated with a substantial amount of severe disease, especially in young children and HIV-infected populations in South Africa. |
format | Online Article Text |
id | pubmed-4496064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44960642015-07-15 Determining the Provincial and National Burden of Influenza-Associated Severe Acute Respiratory Illness in South Africa Using a Rapid Assessment Methodology Murray, Jillian Cohen, Adam Walaza, Sibongile Groome, Michelle Madhi, Shabir Variava, Ebrahim Kahn, Kathleen Dawood, Halima Tempia, Stefano Tshangela, Akhona Venter, Marietje Feikin, Daniel Cohen, Cheryl PLoS One Research Article Local disease burden data are necessary to set national influenza vaccination policy. In 2010 the population of South Africa was 50 million and the HIV prevalence was 11%. We used a previously developed methodology to determine severe influenza burden in South Africa. Hospitalized severe acute respiratory illness (SARI) incidence was calculated, stratified by HIV status, for four age groups using data from population-based surveillance in one site situated in Gauteng Province for 2009–2011. These rates were adjusted for each of the remaining 8 provinces based on their prevalence of risk factors for pneumonia and healthcare-seeking behavior. We estimated non-hospitalized influenza-associated SARI from healthcare utilization surveys at two sites and used the percent of SARI cases positive for influenza from sentinel surveillance to derive the influenza-associated SARI rate. We applied rates of hospitalized and non-hospitalized influenza-associated SARI to census data to calculate the national number of cases. The percent of SARI cases that tested positive for influenza ranged from 7–17% depending on age group, year, province and HIV status. In 2010, there were an estimated 21,555 total severe influenza cases in HIV-uninfected individuals and 13,876 in HIV-infected individuals. In 2011, there were an estimated 29,892 total severe influenza cases in HIV-uninfected individuals and 17,289 in HIV-infected individuals. The incidence of influenza-associated SARI was highest in children <5 years and was higher in HIV-infected than HIV-uninfected persons in all age groups. Influenza virus was associated with a substantial amount of severe disease, especially in young children and HIV-infected populations in South Africa. Public Library of Science 2015-07-08 /pmc/articles/PMC4496064/ /pubmed/26154306 http://dx.doi.org/10.1371/journal.pone.0132078 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 Murray, Jillian Cohen, Adam Walaza, Sibongile Groome, Michelle Madhi, Shabir Variava, Ebrahim Kahn, Kathleen Dawood, Halima Tempia, Stefano Tshangela, Akhona Venter, Marietje Feikin, Daniel Cohen, Cheryl Determining the Provincial and National Burden of Influenza-Associated Severe Acute Respiratory Illness in South Africa Using a Rapid Assessment Methodology |
title | Determining the Provincial and National Burden of Influenza-Associated Severe Acute Respiratory Illness in South Africa Using a Rapid Assessment Methodology |
title_full | Determining the Provincial and National Burden of Influenza-Associated Severe Acute Respiratory Illness in South Africa Using a Rapid Assessment Methodology |
title_fullStr | Determining the Provincial and National Burden of Influenza-Associated Severe Acute Respiratory Illness in South Africa Using a Rapid Assessment Methodology |
title_full_unstemmed | Determining the Provincial and National Burden of Influenza-Associated Severe Acute Respiratory Illness in South Africa Using a Rapid Assessment Methodology |
title_short | Determining the Provincial and National Burden of Influenza-Associated Severe Acute Respiratory Illness in South Africa Using a Rapid Assessment Methodology |
title_sort | determining the provincial and national burden of influenza-associated severe acute respiratory illness in south africa using a rapid assessment methodology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4496064/ https://www.ncbi.nlm.nih.gov/pubmed/26154306 http://dx.doi.org/10.1371/journal.pone.0132078 |
work_keys_str_mv | AT murrayjillian determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT cohenadam determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT walazasibongile determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT groomemichelle determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT madhishabir determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT variavaebrahim determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT kahnkathleen determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT dawoodhalima determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT tempiastefano determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT tshangelaakhona determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT ventermarietje determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT feikindaniel determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology AT cohencheryl determiningtheprovincialandnationalburdenofinfluenzaassociatedsevereacuterespiratoryillnessinsouthafricausingarapidassessmentmethodology |