Cargando…

Age-Specific Malaria Mortality Rates in the KEMRI/CDC Health and Demographic Surveillance System in Western Kenya, 2003–2010

Recent global malaria burden modeling efforts have produced significantly different estimates, particularly in adult malaria mortality. To measure malaria control progress, accurate malaria burden estimates across age groups are necessary. We determined age-specific malaria mortality rates in wester...

Descripción completa

Detalles Bibliográficos
Autores principales: Desai, Meghna, Buff, Ann M., Khagayi, Sammy, Byass, Peter, Amek, Nyaguara, van Eijk, Annemieke, Slutsker, Laurence, Vulule, John, Odhiambo, Frank O., Phillips-Howard, Penelope A., Lindblade, Kimberly A., Laserson, Kayla F., Hamel, Mary J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4152016/
https://www.ncbi.nlm.nih.gov/pubmed/25180495
http://dx.doi.org/10.1371/journal.pone.0106197
_version_ 1782333079485939712
author Desai, Meghna
Buff, Ann M.
Khagayi, Sammy
Byass, Peter
Amek, Nyaguara
van Eijk, Annemieke
Slutsker, Laurence
Vulule, John
Odhiambo, Frank O.
Phillips-Howard, Penelope A.
Lindblade, Kimberly A.
Laserson, Kayla F.
Hamel, Mary J.
author_facet Desai, Meghna
Buff, Ann M.
Khagayi, Sammy
Byass, Peter
Amek, Nyaguara
van Eijk, Annemieke
Slutsker, Laurence
Vulule, John
Odhiambo, Frank O.
Phillips-Howard, Penelope A.
Lindblade, Kimberly A.
Laserson, Kayla F.
Hamel, Mary J.
author_sort Desai, Meghna
collection PubMed
description Recent global malaria burden modeling efforts have produced significantly different estimates, particularly in adult malaria mortality. To measure malaria control progress, accurate malaria burden estimates across age groups are necessary. We determined age-specific malaria mortality rates in western Kenya to compare with recent global estimates. We collected data from 148,000 persons in a health and demographic surveillance system from 2003–2010. Standardized verbal autopsies were conducted for all deaths; probable cause of death was assigned using the InterVA-4 model. Annual malaria mortality rates per 1,000 person-years were generated by age group. Trends were analyzed using Poisson regression. From 2003–2010, in children <5 years the malaria mortality rate decreased from 13.2 to 3.7 per 1,000 person-years; the declines were greatest in the first three years of life. In children 5–14 years, the malaria mortality rate remained stable at 0.5 per 1,000 person-years. In persons ≥15 years, the malaria mortality rate decreased from 1.5 to 0.4 per 1,000 person-years. The malaria mortality rates in young children and persons aged ≥15 years decreased dramatically from 2003–2010 in western Kenya, but rates in older children have not declined. Sharp declines in some age groups likely reflect the national scale up of malaria control interventions and rapid expansion of HIV prevention services. These data highlight the importance of age-specific malaria mortality ascertainment and support current strategies to include all age groups in malaria control interventions.
format Online
Article
Text
id pubmed-4152016
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-41520162014-09-05 Age-Specific Malaria Mortality Rates in the KEMRI/CDC Health and Demographic Surveillance System in Western Kenya, 2003–2010 Desai, Meghna Buff, Ann M. Khagayi, Sammy Byass, Peter Amek, Nyaguara van Eijk, Annemieke Slutsker, Laurence Vulule, John Odhiambo, Frank O. Phillips-Howard, Penelope A. Lindblade, Kimberly A. Laserson, Kayla F. Hamel, Mary J. PLoS One Research Article Recent global malaria burden modeling efforts have produced significantly different estimates, particularly in adult malaria mortality. To measure malaria control progress, accurate malaria burden estimates across age groups are necessary. We determined age-specific malaria mortality rates in western Kenya to compare with recent global estimates. We collected data from 148,000 persons in a health and demographic surveillance system from 2003–2010. Standardized verbal autopsies were conducted for all deaths; probable cause of death was assigned using the InterVA-4 model. Annual malaria mortality rates per 1,000 person-years were generated by age group. Trends were analyzed using Poisson regression. From 2003–2010, in children <5 years the malaria mortality rate decreased from 13.2 to 3.7 per 1,000 person-years; the declines were greatest in the first three years of life. In children 5–14 years, the malaria mortality rate remained stable at 0.5 per 1,000 person-years. In persons ≥15 years, the malaria mortality rate decreased from 1.5 to 0.4 per 1,000 person-years. The malaria mortality rates in young children and persons aged ≥15 years decreased dramatically from 2003–2010 in western Kenya, but rates in older children have not declined. Sharp declines in some age groups likely reflect the national scale up of malaria control interventions and rapid expansion of HIV prevention services. These data highlight the importance of age-specific malaria mortality ascertainment and support current strategies to include all age groups in malaria control interventions. Public Library of Science 2014-09-02 /pmc/articles/PMC4152016/ /pubmed/25180495 http://dx.doi.org/10.1371/journal.pone.0106197 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
Desai, Meghna
Buff, Ann M.
Khagayi, Sammy
Byass, Peter
Amek, Nyaguara
van Eijk, Annemieke
Slutsker, Laurence
Vulule, John
Odhiambo, Frank O.
Phillips-Howard, Penelope A.
Lindblade, Kimberly A.
Laserson, Kayla F.
Hamel, Mary J.
Age-Specific Malaria Mortality Rates in the KEMRI/CDC Health and Demographic Surveillance System in Western Kenya, 2003–2010
title Age-Specific Malaria Mortality Rates in the KEMRI/CDC Health and Demographic Surveillance System in Western Kenya, 2003–2010
title_full Age-Specific Malaria Mortality Rates in the KEMRI/CDC Health and Demographic Surveillance System in Western Kenya, 2003–2010
title_fullStr Age-Specific Malaria Mortality Rates in the KEMRI/CDC Health and Demographic Surveillance System in Western Kenya, 2003–2010
title_full_unstemmed Age-Specific Malaria Mortality Rates in the KEMRI/CDC Health and Demographic Surveillance System in Western Kenya, 2003–2010
title_short Age-Specific Malaria Mortality Rates in the KEMRI/CDC Health and Demographic Surveillance System in Western Kenya, 2003–2010
title_sort age-specific malaria mortality rates in the kemri/cdc health and demographic surveillance system in western kenya, 2003–2010
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4152016/
https://www.ncbi.nlm.nih.gov/pubmed/25180495
http://dx.doi.org/10.1371/journal.pone.0106197
work_keys_str_mv AT desaimeghna agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT buffannm agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT khagayisammy agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT byasspeter agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT ameknyaguara agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT vaneijkannemieke agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT slutskerlaurence agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT vululejohn agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT odhiambofranko agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT phillipshowardpenelopea agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT lindbladekimberlya agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT lasersonkaylaf agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010
AT hamelmaryj agespecificmalariamortalityratesinthekemricdchealthanddemographicsurveillancesysteminwesternkenya20032010