Optimizing vaccine allocation at different points in time during an epidemic.

<h4>Background</h4>Pandemic influenza A(H1N1) 2009 began spreading around the globe in April of 2009 and vaccination started in October of 2009. In most countries, by the time vaccination started, the second wave of pandemic H1N1 2009 was already under way. With limited supplies of vacci...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Laura Matrajt, Ira M Longini
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/eecf2b08858b43d890b089f84d3dfaa9
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:eecf2b08858b43d890b089f84d3dfaa9
record_format	dspace
spelling	oai:doaj.org-article:eecf2b08858b43d890b089f84d3dfaa92021-11-18T07:36:55ZOptimizing vaccine allocation at different points in time during an epidemic.1932-620310.1371/journal.pone.0013767https://doaj.org/article/eecf2b08858b43d890b089f84d3dfaa92010-11-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21085686/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Pandemic influenza A(H1N1) 2009 began spreading around the globe in April of 2009 and vaccination started in October of 2009. In most countries, by the time vaccination started, the second wave of pandemic H1N1 2009 was already under way. With limited supplies of vaccine, we are left to question whether it may be a good strategy to vaccinate the high-transmission groups earlier in the epidemic, but it might be a better use of resources to protect instead the high-risk groups later in the epidemic. To answer this question, we develop a deterministic epidemic model with two age-groups (children and adults) and further subdivide each age group in low and high risk.<h4>Methods and findings</h4>We COMPARE optimal vaccination strategies started at various points in time in two different.<h4>Settings</h4>a population in a developed country where children account for 24% of the population, and a population in a less developed country where children make up the majority of the population, 55%. For each of these populations, we minimize mortality or hospitalizations and we find an optimal vaccination strategy that gives the best vaccine allocation given a starting vaccination time and vaccine coverage level. We find that population structure is an important factor in determining the optimal vaccine distribution. Moreover, the optimal policy is dynamic as there is a switch in the optimal vaccination strategy at some time point just before the peak of the epidemic. For instance, with 25% vaccine coverage, it is better to protect the high-transmission groups before this point, but it is optimal to protect the most vulnerable groups afterward.<h4>Conclusions</h4>Choosing the optimal strategy before or early in the epidemic makes an important difference in minimizing the number of influenza infections, and consequently the number of influenza deaths or hospitalizations, but the optimal strategy makes little difference after the peak.Laura MatrajtIra M LonginiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 11, p e13767 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Laura Matrajt Ira M Longini Optimizing vaccine allocation at different points in time during an epidemic.
description	<h4>Background</h4>Pandemic influenza A(H1N1) 2009 began spreading around the globe in April of 2009 and vaccination started in October of 2009. In most countries, by the time vaccination started, the second wave of pandemic H1N1 2009 was already under way. With limited supplies of vaccine, we are left to question whether it may be a good strategy to vaccinate the high-transmission groups earlier in the epidemic, but it might be a better use of resources to protect instead the high-risk groups later in the epidemic. To answer this question, we develop a deterministic epidemic model with two age-groups (children and adults) and further subdivide each age group in low and high risk.<h4>Methods and findings</h4>We COMPARE optimal vaccination strategies started at various points in time in two different.<h4>Settings</h4>a population in a developed country where children account for 24% of the population, and a population in a less developed country where children make up the majority of the population, 55%. For each of these populations, we minimize mortality or hospitalizations and we find an optimal vaccination strategy that gives the best vaccine allocation given a starting vaccination time and vaccine coverage level. We find that population structure is an important factor in determining the optimal vaccine distribution. Moreover, the optimal policy is dynamic as there is a switch in the optimal vaccination strategy at some time point just before the peak of the epidemic. For instance, with 25% vaccine coverage, it is better to protect the high-transmission groups before this point, but it is optimal to protect the most vulnerable groups afterward.<h4>Conclusions</h4>Choosing the optimal strategy before or early in the epidemic makes an important difference in minimizing the number of influenza infections, and consequently the number of influenza deaths or hospitalizations, but the optimal strategy makes little difference after the peak.
format	article
author	Laura Matrajt Ira M Longini
author_facet	Laura Matrajt Ira M Longini
author_sort	Laura Matrajt
title	Optimizing vaccine allocation at different points in time during an epidemic.
title_short	Optimizing vaccine allocation at different points in time during an epidemic.
title_full	Optimizing vaccine allocation at different points in time during an epidemic.
title_fullStr	Optimizing vaccine allocation at different points in time during an epidemic.
title_full_unstemmed	Optimizing vaccine allocation at different points in time during an epidemic.
title_sort	optimizing vaccine allocation at different points in time during an epidemic.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/eecf2b08858b43d890b089f84d3dfaa9
work_keys_str_mv	AT lauramatrajt optimizingvaccineallocationatdifferentpointsintimeduringanepidemic AT iramlongini optimizingvaccineallocationatdifferentpointsintimeduringanepidemic
_version_	1718423197817241600

Optimizing vaccine allocation at different points in time during an epidemic.

Ejemplares similares