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Epidemiological impact and cost-effectiveness analysis of COVID-19 vaccination in Kenya

BACKGROUND: A few studies have assessed the epidemiological impact and the cost-effectiveness of COVID-19 vaccines in settings where most of the population had been exposed to SARS-CoV-2 infection. METHODS: We conducted a cost-effectiveness analysis of COVID-19 vaccine in Kenya from a societal persp...

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Autores principales: Orangi, Stacey, Ojal, John, Brand, Samuel PC, Orlendo, Cameline, Kairu, Angela, Aziza, Rabia, Ogero, Morris, Agweyu, Ambrose, Warimwe, George M, Uyoga, Sophie, Otieno, Edward, Ochola-Oyier, Lynette I, Agoti, Charles N, Kasera, Kadondi, Amoth, Patrick, Mwangangi, Mercy, Aman, Rashid, Ng'ang'a, Wangari, Adetifa, Ifedayo MO, Scott, J Anthony G, Bejon, Philip, Keeling, Matt J, Flasche, Stefan, Nokes, D James, Barasa, Edwine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344598/
https://www.ncbi.nlm.nih.gov/pubmed/35914832
http://dx.doi.org/10.1136/bmjgh-2022-009430
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author Orangi, Stacey
Ojal, John
Brand, Samuel PC
Orlendo, Cameline
Kairu, Angela
Aziza, Rabia
Ogero, Morris
Agweyu, Ambrose
Warimwe, George M
Uyoga, Sophie
Otieno, Edward
Ochola-Oyier, Lynette I
Agoti, Charles N
Kasera, Kadondi
Amoth, Patrick
Mwangangi, Mercy
Aman, Rashid
Ng'ang'a, Wangari
Adetifa, Ifedayo MO
Scott, J Anthony G
Bejon, Philip
Keeling, Matt J
Flasche, Stefan
Nokes, D James
Barasa, Edwine
author_facet Orangi, Stacey
Ojal, John
Brand, Samuel PC
Orlendo, Cameline
Kairu, Angela
Aziza, Rabia
Ogero, Morris
Agweyu, Ambrose
Warimwe, George M
Uyoga, Sophie
Otieno, Edward
Ochola-Oyier, Lynette I
Agoti, Charles N
Kasera, Kadondi
Amoth, Patrick
Mwangangi, Mercy
Aman, Rashid
Ng'ang'a, Wangari
Adetifa, Ifedayo MO
Scott, J Anthony G
Bejon, Philip
Keeling, Matt J
Flasche, Stefan
Nokes, D James
Barasa, Edwine
author_sort Orangi, Stacey
collection PubMed
description BACKGROUND: A few studies have assessed the epidemiological impact and the cost-effectiveness of COVID-19 vaccines in settings where most of the population had been exposed to SARS-CoV-2 infection. METHODS: We conducted a cost-effectiveness analysis of COVID-19 vaccine in Kenya from a societal perspective over a 1.5-year time frame. An age-structured transmission model assumed at least 80% of the population to have prior natural immunity when an immune escape variant was introduced. We examine the effect of slow (18 months) or rapid (6 months) vaccine roll-out with vaccine coverage of 30%, 50% or 70% of the adult (>18 years) population prioritising roll-out in those over 50-years (80% uptake in all scenarios). Cost data were obtained from primary analyses. We assumed vaccine procurement at US$7 per dose and vaccine delivery costs of US$3.90–US$6.11 per dose. The cost-effectiveness threshold was US$919.11. FINDINGS: Slow roll-out at 30% coverage largely targets those over 50 years and resulted in 54% fewer deaths (8132 (7914–8373)) than no vaccination and was cost saving (incremental cost-effectiveness ratio, ICER=US$−1343 (US$−1345 to US$−1341) per disability-adjusted life-year, DALY averted). Increasing coverage to 50% and 70%, further reduced deaths by 12% (810 (757–872) and 5% (282 (251–317) but was not cost-effective, using Kenya’s cost-effectiveness threshold (US$919.11). Rapid roll-out with 30% coverage averted 63% more deaths and was more cost-saving (ICER=US$−1607 (US$−1609 to US$−1604) per DALY averted) compared with slow roll-out at the same coverage level, but 50% and 70% coverage scenarios were not cost-effective. INTERPRETATION: With prior exposure partially protecting much of the Kenyan population, vaccination of young adults may no longer be cost-effective.
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spelling pubmed-93445982022-08-02 Epidemiological impact and cost-effectiveness analysis of COVID-19 vaccination in Kenya Orangi, Stacey Ojal, John Brand, Samuel PC Orlendo, Cameline Kairu, Angela Aziza, Rabia Ogero, Morris Agweyu, Ambrose Warimwe, George M Uyoga, Sophie Otieno, Edward Ochola-Oyier, Lynette I Agoti, Charles N Kasera, Kadondi Amoth, Patrick Mwangangi, Mercy Aman, Rashid Ng'ang'a, Wangari Adetifa, Ifedayo MO Scott, J Anthony G Bejon, Philip Keeling, Matt J Flasche, Stefan Nokes, D James Barasa, Edwine BMJ Glob Health Original Research BACKGROUND: A few studies have assessed the epidemiological impact and the cost-effectiveness of COVID-19 vaccines in settings where most of the population had been exposed to SARS-CoV-2 infection. METHODS: We conducted a cost-effectiveness analysis of COVID-19 vaccine in Kenya from a societal perspective over a 1.5-year time frame. An age-structured transmission model assumed at least 80% of the population to have prior natural immunity when an immune escape variant was introduced. We examine the effect of slow (18 months) or rapid (6 months) vaccine roll-out with vaccine coverage of 30%, 50% or 70% of the adult (>18 years) population prioritising roll-out in those over 50-years (80% uptake in all scenarios). Cost data were obtained from primary analyses. We assumed vaccine procurement at US$7 per dose and vaccine delivery costs of US$3.90–US$6.11 per dose. The cost-effectiveness threshold was US$919.11. FINDINGS: Slow roll-out at 30% coverage largely targets those over 50 years and resulted in 54% fewer deaths (8132 (7914–8373)) than no vaccination and was cost saving (incremental cost-effectiveness ratio, ICER=US$−1343 (US$−1345 to US$−1341) per disability-adjusted life-year, DALY averted). Increasing coverage to 50% and 70%, further reduced deaths by 12% (810 (757–872) and 5% (282 (251–317) but was not cost-effective, using Kenya’s cost-effectiveness threshold (US$919.11). Rapid roll-out with 30% coverage averted 63% more deaths and was more cost-saving (ICER=US$−1607 (US$−1609 to US$−1604) per DALY averted) compared with slow roll-out at the same coverage level, but 50% and 70% coverage scenarios were not cost-effective. INTERPRETATION: With prior exposure partially protecting much of the Kenyan population, vaccination of young adults may no longer be cost-effective. BMJ Publishing Group 2022-08-01 /pmc/articles/PMC9344598/ /pubmed/35914832 http://dx.doi.org/10.1136/bmjgh-2022-009430 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Orangi, Stacey
Ojal, John
Brand, Samuel PC
Orlendo, Cameline
Kairu, Angela
Aziza, Rabia
Ogero, Morris
Agweyu, Ambrose
Warimwe, George M
Uyoga, Sophie
Otieno, Edward
Ochola-Oyier, Lynette I
Agoti, Charles N
Kasera, Kadondi
Amoth, Patrick
Mwangangi, Mercy
Aman, Rashid
Ng'ang'a, Wangari
Adetifa, Ifedayo MO
Scott, J Anthony G
Bejon, Philip
Keeling, Matt J
Flasche, Stefan
Nokes, D James
Barasa, Edwine
Epidemiological impact and cost-effectiveness analysis of COVID-19 vaccination in Kenya
title Epidemiological impact and cost-effectiveness analysis of COVID-19 vaccination in Kenya
title_full Epidemiological impact and cost-effectiveness analysis of COVID-19 vaccination in Kenya
title_fullStr Epidemiological impact and cost-effectiveness analysis of COVID-19 vaccination in Kenya
title_full_unstemmed Epidemiological impact and cost-effectiveness analysis of COVID-19 vaccination in Kenya
title_short Epidemiological impact and cost-effectiveness analysis of COVID-19 vaccination in Kenya
title_sort epidemiological impact and cost-effectiveness analysis of covid-19 vaccination in kenya
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344598/
https://www.ncbi.nlm.nih.gov/pubmed/35914832
http://dx.doi.org/10.1136/bmjgh-2022-009430
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