Mathematical modeling of delayed pertussis vaccination in infants

Autores
Pesco, Pablo Sebastián; Bergero, Paula Elena; Fabricius, Gabriel; Hozbor, Daniela Flavia
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Pertussisis an acute vaccine-preventable respiratory disease that remains a publichealth problem. In an attempt to improve the control of the disease, manycountries have incorporated new boosters in their vaccination schedule. Since the incorporation of these boosters is relatively recent, there are not enoughdata about their impact to support and/or universalize their use. Alternativestrategies such as the improvement in vaccine coverage and reduction invaccination delays, in addition to the incorporation of boosters, could beimplemented. Though these strategies are not new, they have not been adequatelyevaluated in order to be implemented and/or prioritized. To evaluate thepotential impact of these alternative strategies on pertussis incidence, wedeveloped a methodology that involves the use of data collected from vaccination centers and an age-structureddeterministic mathematical model for pertussis transmission. The results obtainedshow that strategies that avoid delays in vaccination have a strong impact onincidence reduction in the most vulnerable population (infants less than 1y). Inregions with high vaccination coverage (95%) the elimination of delays in thethree primary doses decreases pertussis incidence in infants by approximately20%. In regions where delays in the administration of vaccines are higher, thecombined action to reduce delays and improve coverage leads to a significantimprovement in disease control in infants. By repeating the calculations usingdifferent sets of parameters that describe different possible epidemiologicscenarios, we determined the robustness of our results. All the results presented highlight theimportance of having high vaccine coverage and shorter delays in vaccine administrationin order to reduce the impact of the disease in infants.
Fil: Pesco, Pablo Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina. Universidad Nacional de la Plata; Argentina
Fil: Bergero, Paula Elena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina. Universidad Nacional de la Plata; Argentina
Fil: Fabricius, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina. Universidad Nacional de la Plata; Argentina
Fil: Hozbor, Daniela Flavia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Biotecnología y Biología Molecular; Argentina. Universidad Nacional de la Plata; Argentina
Materia
Pertussis
Resurgence
Delay in Vaccination
Mathematical Model
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/5044
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/5044
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Mathematical modeling of delayed pertussis vaccination in infantsPesco, Pablo SebastiánBergero, Paula ElenaFabricius, GabrielHozbor, Daniela FlaviaPertussisResurgenceDelay in VaccinationMathematical Modelhttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Pertussisis an acute vaccine-preventable respiratory disease that remains a publichealth problem. In an attempt to improve the control of the disease, manycountries have incorporated new boosters in their vaccination schedule. Since the incorporation of these boosters is relatively recent, there are not enoughdata about their impact to support and/or universalize their use. Alternativestrategies such as the improvement in vaccine coverage and reduction invaccination delays, in addition to the incorporation of boosters, could beimplemented. Though these strategies are not new, they have not been adequatelyevaluated in order to be implemented and/or prioritized. To evaluate thepotential impact of these alternative strategies on pertussis incidence, wedeveloped a methodology that involves the use of data collected from vaccination centers and an age-structureddeterministic mathematical model for pertussis transmission. The results obtainedshow that strategies that avoid delays in vaccination have a strong impact onincidence reduction in the most vulnerable population (infants less than 1y). Inregions with high vaccination coverage (95%) the elimination of delays in thethree primary doses decreases pertussis incidence in infants by approximately20%. In regions where delays in the administration of vaccines are higher, thecombined action to reduce delays and improve coverage leads to a significantimprovement in disease control in infants. By repeating the calculations usingdifferent sets of parameters that describe different possible epidemiologicscenarios, we determined the robustness of our results. All the results presented highlight theimportance of having high vaccine coverage and shorter delays in vaccine administrationin order to reduce the impact of the disease in infants.Fil: Pesco, Pablo Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina. Universidad Nacional de la Plata; ArgentinaFil: Bergero, Paula Elena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina. Universidad Nacional de la Plata; ArgentinaFil: Fabricius, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina. Universidad Nacional de la Plata; ArgentinaFil: Hozbor, Daniela Flavia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Biotecnología y Biología Molecular; Argentina. Universidad Nacional de la Plata; ArgentinaElsevier2015-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/5044Pesco, Pablo Sebastián; Bergero, Paula Elena; Fabricius, Gabriel; Hozbor, Daniela Flavia; Mathematical modeling of delayed pertussis vaccination in infants; Elsevier; Vaccine; 33; 41; 10-2015; 5475-54800264-410Xenginfo:eu-repo/semantics/altIdentifier/pmid/26187255info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/altIdentifier/doi/10.1016/j.vaccine.2015.07.005info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0264410X15009317info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:21:14Zoai:ri.conicet.gov.ar:11336/5044instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:21:14.887CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Mathematical modeling of delayed pertussis vaccination in infants
title Mathematical modeling of delayed pertussis vaccination in infants
spellingShingle Mathematical modeling of delayed pertussis vaccination in infants
Pesco, Pablo Sebastián
Pertussis
Resurgence
Delay in Vaccination
Mathematical Model
title_short Mathematical modeling of delayed pertussis vaccination in infants
title_full Mathematical modeling of delayed pertussis vaccination in infants
title_fullStr Mathematical modeling of delayed pertussis vaccination in infants
title_full_unstemmed Mathematical modeling of delayed pertussis vaccination in infants
title_sort Mathematical modeling of delayed pertussis vaccination in infants
dc.creator.none.fl_str_mv Pesco, Pablo Sebastián
Bergero, Paula Elena
Fabricius, Gabriel
Hozbor, Daniela Flavia
author Pesco, Pablo Sebastián
author_facet Pesco, Pablo Sebastián
Bergero, Paula Elena
Fabricius, Gabriel
Hozbor, Daniela Flavia
author_role author
author2 Bergero, Paula Elena
Fabricius, Gabriel
Hozbor, Daniela Flavia
author2_role author
author
author
dc.subject.none.fl_str_mv Pertussis
Resurgence
Delay in Vaccination
Mathematical Model
topic Pertussis
Resurgence
Delay in Vaccination
Mathematical Model
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Pertussisis an acute vaccine-preventable respiratory disease that remains a publichealth problem. In an attempt to improve the control of the disease, manycountries have incorporated new boosters in their vaccination schedule. Since the incorporation of these boosters is relatively recent, there are not enoughdata about their impact to support and/or universalize their use. Alternativestrategies such as the improvement in vaccine coverage and reduction invaccination delays, in addition to the incorporation of boosters, could beimplemented. Though these strategies are not new, they have not been adequatelyevaluated in order to be implemented and/or prioritized. To evaluate thepotential impact of these alternative strategies on pertussis incidence, wedeveloped a methodology that involves the use of data collected from vaccination centers and an age-structureddeterministic mathematical model for pertussis transmission. The results obtainedshow that strategies that avoid delays in vaccination have a strong impact onincidence reduction in the most vulnerable population (infants less than 1y). Inregions with high vaccination coverage (95%) the elimination of delays in thethree primary doses decreases pertussis incidence in infants by approximately20%. In regions where delays in the administration of vaccines are higher, thecombined action to reduce delays and improve coverage leads to a significantimprovement in disease control in infants. By repeating the calculations usingdifferent sets of parameters that describe different possible epidemiologicscenarios, we determined the robustness of our results. All the results presented highlight theimportance of having high vaccine coverage and shorter delays in vaccine administrationin order to reduce the impact of the disease in infants.
Fil: Pesco, Pablo Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina. Universidad Nacional de la Plata; Argentina
Fil: Bergero, Paula Elena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina. Universidad Nacional de la Plata; Argentina
Fil: Fabricius, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas; Argentina. Universidad Nacional de la Plata; Argentina
Fil: Hozbor, Daniela Flavia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto de Biotecnología y Biología Molecular; Argentina. Universidad Nacional de la Plata; Argentina
description Pertussisis an acute vaccine-preventable respiratory disease that remains a publichealth problem. In an attempt to improve the control of the disease, manycountries have incorporated new boosters in their vaccination schedule. Since the incorporation of these boosters is relatively recent, there are not enoughdata about their impact to support and/or universalize their use. Alternativestrategies such as the improvement in vaccine coverage and reduction invaccination delays, in addition to the incorporation of boosters, could beimplemented. Though these strategies are not new, they have not been adequatelyevaluated in order to be implemented and/or prioritized. To evaluate thepotential impact of these alternative strategies on pertussis incidence, wedeveloped a methodology that involves the use of data collected from vaccination centers and an age-structureddeterministic mathematical model for pertussis transmission. The results obtainedshow that strategies that avoid delays in vaccination have a strong impact onincidence reduction in the most vulnerable population (infants less than 1y). Inregions with high vaccination coverage (95%) the elimination of delays in thethree primary doses decreases pertussis incidence in infants by approximately20%. In regions where delays in the administration of vaccines are higher, thecombined action to reduce delays and improve coverage leads to a significantimprovement in disease control in infants. By repeating the calculations usingdifferent sets of parameters that describe different possible epidemiologicscenarios, we determined the robustness of our results. All the results presented highlight theimportance of having high vaccine coverage and shorter delays in vaccine administrationin order to reduce the impact of the disease in infants.
publishDate 2015
dc.date.none.fl_str_mv 2015-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/5044
Pesco, Pablo Sebastián; Bergero, Paula Elena; Fabricius, Gabriel; Hozbor, Daniela Flavia; Mathematical modeling of delayed pertussis vaccination in infants; Elsevier; Vaccine; 33; 41; 10-2015; 5475-5480
0264-410X
url http://hdl.handle.net/11336/5044
identifier_str_mv Pesco, Pablo Sebastián; Bergero, Paula Elena; Fabricius, Gabriel; Hozbor, Daniela Flavia; Mathematical modeling of delayed pertussis vaccination in infants; Elsevier; Vaccine; 33; 41; 10-2015; 5475-5480
0264-410X
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/pmid/26187255
info:eu-repo/semantics/altIdentifier/doi/
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.vaccine.2015.07.005
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0264410X15009317
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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