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Malaria hospitalisation in East Africa: age, phenotype and transmission intensity

BACKGROUND: Understanding the age patterns of disease is necessary to target interventions to maximise cost-effective impact. New malaria chemoprevention and vaccine initiatives target young children attending routine immunisation services. Here we explore the relationships between age and severity...

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Autores principales: Kamau, Alice, Paton, Robert S., Akech, Samuel, Mpimbaza, Arthur, Khazenzi, Cynthia, Ogero, Morris, Mumo, Eda, Alegana, Victor A., Agweyu, Ambrose, Mturi, Neema, Mohammed, Shebe, Bigogo, Godfrey, Audi, Allan, Kapisi, James, Sserwanga, Asadu, Namuganga, Jane F., Kariuki, Simon, Otieno, Nancy A., Nyawanda, Bryan O., Olotu, Ally, Salim, Nahya, Athuman, Thabit, Abdulla, Salim, Mohamed, Amina F., Mtove, George, Reyburn, Hugh, Gupta, Sunetra, Lourenço, José, Bejon, Philip, Snow, Robert W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793189/
https://www.ncbi.nlm.nih.gov/pubmed/35081974
http://dx.doi.org/10.1186/s12916-021-02224-w
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author Kamau, Alice
Paton, Robert S.
Akech, Samuel
Mpimbaza, Arthur
Khazenzi, Cynthia
Ogero, Morris
Mumo, Eda
Alegana, Victor A.
Agweyu, Ambrose
Mturi, Neema
Mohammed, Shebe
Bigogo, Godfrey
Audi, Allan
Kapisi, James
Sserwanga, Asadu
Namuganga, Jane F.
Kariuki, Simon
Otieno, Nancy A.
Nyawanda, Bryan O.
Olotu, Ally
Salim, Nahya
Athuman, Thabit
Abdulla, Salim
Mohamed, Amina F.
Mtove, George
Reyburn, Hugh
Gupta, Sunetra
Lourenço, José
Bejon, Philip
Snow, Robert W.
author_facet Kamau, Alice
Paton, Robert S.
Akech, Samuel
Mpimbaza, Arthur
Khazenzi, Cynthia
Ogero, Morris
Mumo, Eda
Alegana, Victor A.
Agweyu, Ambrose
Mturi, Neema
Mohammed, Shebe
Bigogo, Godfrey
Audi, Allan
Kapisi, James
Sserwanga, Asadu
Namuganga, Jane F.
Kariuki, Simon
Otieno, Nancy A.
Nyawanda, Bryan O.
Olotu, Ally
Salim, Nahya
Athuman, Thabit
Abdulla, Salim
Mohamed, Amina F.
Mtove, George
Reyburn, Hugh
Gupta, Sunetra
Lourenço, José
Bejon, Philip
Snow, Robert W.
author_sort Kamau, Alice
collection PubMed
description BACKGROUND: Understanding the age patterns of disease is necessary to target interventions to maximise cost-effective impact. New malaria chemoprevention and vaccine initiatives target young children attending routine immunisation services. Here we explore the relationships between age and severity of malaria hospitalisation versus malaria transmission intensity. METHODS: Clinical data from 21 surveillance hospitals in East Africa were reviewed. Malaria admissions aged 1 month to 14 years from discrete administrative areas since 2006 were identified. Each site-time period was matched to a model estimated community-based age-corrected parasite prevalence to provide predictions of prevalence in childhood (PfPR(2–10)). Admission with all-cause malaria, severe malaria anaemia (SMA), respiratory distress (RD) and cerebral malaria (CM) were analysed as means and predicted probabilities from Bayesian generalised mixed models. RESULTS: 52,684 malaria admissions aged 1 month to 14 years were described at 21 hospitals from 49 site-time locations where PfPR(2–10) varied from < 1 to 48.7%. Twelve site-time periods were described as low transmission (PfPR(2–10) < 5%), five low-moderate transmission (PfPR(2–10) 5–9%), 20 moderate transmission (PfPR(2–10) 10–29%) and 12 high transmission (PfPR(2–10) ≥ 30%). The majority of malaria admissions were below 5 years of age (69–85%) and rare among children aged 10–14 years (0.7–5.4%) across all transmission settings. The mean age of all-cause malaria hospitalisation was 49.5 months (95% CI 45.1, 55.4) under low transmission compared with 34.1 months (95% CI 30.4, 38.3) at high transmission, with similar trends for each severe malaria phenotype. CM presented among older children at a mean of 48.7 months compared with 39.0 months and 33.7 months for SMA and RD, respectively. In moderate and high transmission settings, 34% and 42% of the children were aged between 2 and 23 months and so within the age range targeted by chemoprevention or vaccines. CONCLUSIONS: Targeting chemoprevention or vaccination programmes to areas where community-based parasite prevalence is ≥10% is likely to match the age ranges covered by interventions (e.g. intermittent presumptive treatment in infancy to children aged 2–23 months and current vaccine age eligibility and duration of efficacy) and the age ranges of highest disease burden. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02224-w.
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spelling pubmed-87931892022-02-03 Malaria hospitalisation in East Africa: age, phenotype and transmission intensity Kamau, Alice Paton, Robert S. Akech, Samuel Mpimbaza, Arthur Khazenzi, Cynthia Ogero, Morris Mumo, Eda Alegana, Victor A. Agweyu, Ambrose Mturi, Neema Mohammed, Shebe Bigogo, Godfrey Audi, Allan Kapisi, James Sserwanga, Asadu Namuganga, Jane F. Kariuki, Simon Otieno, Nancy A. Nyawanda, Bryan O. Olotu, Ally Salim, Nahya Athuman, Thabit Abdulla, Salim Mohamed, Amina F. Mtove, George Reyburn, Hugh Gupta, Sunetra Lourenço, José Bejon, Philip Snow, Robert W. BMC Med Research Article BACKGROUND: Understanding the age patterns of disease is necessary to target interventions to maximise cost-effective impact. New malaria chemoprevention and vaccine initiatives target young children attending routine immunisation services. Here we explore the relationships between age and severity of malaria hospitalisation versus malaria transmission intensity. METHODS: Clinical data from 21 surveillance hospitals in East Africa were reviewed. Malaria admissions aged 1 month to 14 years from discrete administrative areas since 2006 were identified. Each site-time period was matched to a model estimated community-based age-corrected parasite prevalence to provide predictions of prevalence in childhood (PfPR(2–10)). Admission with all-cause malaria, severe malaria anaemia (SMA), respiratory distress (RD) and cerebral malaria (CM) were analysed as means and predicted probabilities from Bayesian generalised mixed models. RESULTS: 52,684 malaria admissions aged 1 month to 14 years were described at 21 hospitals from 49 site-time locations where PfPR(2–10) varied from < 1 to 48.7%. Twelve site-time periods were described as low transmission (PfPR(2–10) < 5%), five low-moderate transmission (PfPR(2–10) 5–9%), 20 moderate transmission (PfPR(2–10) 10–29%) and 12 high transmission (PfPR(2–10) ≥ 30%). The majority of malaria admissions were below 5 years of age (69–85%) and rare among children aged 10–14 years (0.7–5.4%) across all transmission settings. The mean age of all-cause malaria hospitalisation was 49.5 months (95% CI 45.1, 55.4) under low transmission compared with 34.1 months (95% CI 30.4, 38.3) at high transmission, with similar trends for each severe malaria phenotype. CM presented among older children at a mean of 48.7 months compared with 39.0 months and 33.7 months for SMA and RD, respectively. In moderate and high transmission settings, 34% and 42% of the children were aged between 2 and 23 months and so within the age range targeted by chemoprevention or vaccines. CONCLUSIONS: Targeting chemoprevention or vaccination programmes to areas where community-based parasite prevalence is ≥10% is likely to match the age ranges covered by interventions (e.g. intermittent presumptive treatment in infancy to children aged 2–23 months and current vaccine age eligibility and duration of efficacy) and the age ranges of highest disease burden. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02224-w. BioMed Central 2022-01-27 /pmc/articles/PMC8793189/ /pubmed/35081974 http://dx.doi.org/10.1186/s12916-021-02224-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Kamau, Alice
Paton, Robert S.
Akech, Samuel
Mpimbaza, Arthur
Khazenzi, Cynthia
Ogero, Morris
Mumo, Eda
Alegana, Victor A.
Agweyu, Ambrose
Mturi, Neema
Mohammed, Shebe
Bigogo, Godfrey
Audi, Allan
Kapisi, James
Sserwanga, Asadu
Namuganga, Jane F.
Kariuki, Simon
Otieno, Nancy A.
Nyawanda, Bryan O.
Olotu, Ally
Salim, Nahya
Athuman, Thabit
Abdulla, Salim
Mohamed, Amina F.
Mtove, George
Reyburn, Hugh
Gupta, Sunetra
Lourenço, José
Bejon, Philip
Snow, Robert W.
Malaria hospitalisation in East Africa: age, phenotype and transmission intensity
title Malaria hospitalisation in East Africa: age, phenotype and transmission intensity
title_full Malaria hospitalisation in East Africa: age, phenotype and transmission intensity
title_fullStr Malaria hospitalisation in East Africa: age, phenotype and transmission intensity
title_full_unstemmed Malaria hospitalisation in East Africa: age, phenotype and transmission intensity
title_short Malaria hospitalisation in East Africa: age, phenotype and transmission intensity
title_sort malaria hospitalisation in east africa: age, phenotype and transmission intensity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793189/
https://www.ncbi.nlm.nih.gov/pubmed/35081974
http://dx.doi.org/10.1186/s12916-021-02224-w
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