A model for assessing the quantitative effects of heterogeneous affinity in malaria transmission along with Ivermectin mass administration

Detalhes bibliográficos
Autor(a) principal: Sequeira, J.
Data de Publicação: 2020
Outros Autores: Louçã, J., Mendes, A. M., Lind, P. G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/21137
Resumo: Using an agent-based model of malaria, we present numerical evidence that in communities of individuals having an affinity varying within a broad range of values, disease transmission may increase up to 300%. Moreover, our findings provide new insight into how to combine different strategies for the prevention of malaria transmission. In particular, we uncover a relationship between the level of heterogeneity and the level of conventional and unconventional anti-malarial drug administration (ivermectin and gametocidal agents), which, when taken together, will define a control parameter, tuning between disease persistence and elimination. Finally, we also provide evidence that the entomological inoculation rate, as well as the product between parasite and sporozoite rates are both good indicators of malaria incidence in the presence of heterogeneity in disease transmission and may configure a possible improvement in that setting, upon classical standard measures such as the basic reproductive number.
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spelling A model for assessing the quantitative effects of heterogeneous affinity in malaria transmission along with Ivermectin mass administrationMalaria transmissionR0EIRHeterogeneityHotspotsIvermectinUsing an agent-based model of malaria, we present numerical evidence that in communities of individuals having an affinity varying within a broad range of values, disease transmission may increase up to 300%. Moreover, our findings provide new insight into how to combine different strategies for the prevention of malaria transmission. In particular, we uncover a relationship between the level of heterogeneity and the level of conventional and unconventional anti-malarial drug administration (ivermectin and gametocidal agents), which, when taken together, will define a control parameter, tuning between disease persistence and elimination. Finally, we also provide evidence that the entomological inoculation rate, as well as the product between parasite and sporozoite rates are both good indicators of malaria incidence in the presence of heterogeneity in disease transmission and may configure a possible improvement in that setting, upon classical standard measures such as the basic reproductive number.MDPI2021-01-07T10:19:48Z2020-01-01T00:00:00Z20202021-01-07T10:05:49Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/21137eng2076-341710.3390/app10238696Sequeira, J.Louçã, J.Mendes, A. M.Lind, P. G.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:33:58Zoai:repositorio.iscte-iul.pt:10071/21137Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:15:20.344712Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A model for assessing the quantitative effects of heterogeneous affinity in malaria transmission along with Ivermectin mass administration
title A model for assessing the quantitative effects of heterogeneous affinity in malaria transmission along with Ivermectin mass administration
spellingShingle A model for assessing the quantitative effects of heterogeneous affinity in malaria transmission along with Ivermectin mass administration
Sequeira, J.
Malaria transmission
R0
EIR
Heterogeneity
Hotspots
Ivermectin
title_short A model for assessing the quantitative effects of heterogeneous affinity in malaria transmission along with Ivermectin mass administration
title_full A model for assessing the quantitative effects of heterogeneous affinity in malaria transmission along with Ivermectin mass administration
title_fullStr A model for assessing the quantitative effects of heterogeneous affinity in malaria transmission along with Ivermectin mass administration
title_full_unstemmed A model for assessing the quantitative effects of heterogeneous affinity in malaria transmission along with Ivermectin mass administration
title_sort A model for assessing the quantitative effects of heterogeneous affinity in malaria transmission along with Ivermectin mass administration
author Sequeira, J.
author_facet Sequeira, J.
Louçã, J.
Mendes, A. M.
Lind, P. G.
author_role author
author2 Louçã, J.
Mendes, A. M.
Lind, P. G.
author2_role author
author
author
dc.contributor.author.fl_str_mv Sequeira, J.
Louçã, J.
Mendes, A. M.
Lind, P. G.
dc.subject.por.fl_str_mv Malaria transmission
R0
EIR
Heterogeneity
Hotspots
Ivermectin
topic Malaria transmission
R0
EIR
Heterogeneity
Hotspots
Ivermectin
description Using an agent-based model of malaria, we present numerical evidence that in communities of individuals having an affinity varying within a broad range of values, disease transmission may increase up to 300%. Moreover, our findings provide new insight into how to combine different strategies for the prevention of malaria transmission. In particular, we uncover a relationship between the level of heterogeneity and the level of conventional and unconventional anti-malarial drug administration (ivermectin and gametocidal agents), which, when taken together, will define a control parameter, tuning between disease persistence and elimination. Finally, we also provide evidence that the entomological inoculation rate, as well as the product between parasite and sporozoite rates are both good indicators of malaria incidence in the presence of heterogeneity in disease transmission and may configure a possible improvement in that setting, upon classical standard measures such as the basic reproductive number.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01T00:00:00Z
2020
2021-01-07T10:19:48Z
2021-01-07T10:05:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/21137
url http://hdl.handle.net/10071/21137
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2076-3417
10.3390/app10238696
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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