Articles producció científica> Enginyeria Informàtica i Matemàtiques

Non-selective distribution of infectious disease prevention may outperform risk-based targeting

  • Datos identificativos

    Identificador: imarina:9264771
    Autores:
    Steinegger BIacopini ITeixeira ASBracci ACasanova-Ferrer PAntonioni AValdano E
    Resumen:
    Epidemic control often requires optimal distribution of available vaccines and prophylactic tools, to protect from infection those susceptible. Well-established theory recommends prioritizing those at the highest risk of exposure. But the risk is hard to estimate, especially for diseases involving stigma and marginalization. We address this conundrum by proving that one should target those at high risk only if the infection-averting efficacy of prevention is above a critical value, which we derive analytically. We apply this to the distribution of pre-exposure prophylaxis (PrEP) of the Human Immunodeficiency Virus (HIV) among men-having-sex-with-men (MSM), a population particularly vulnerable to HIV. PrEP is effective in averting infections, but its global scale-up has been slow, showing the need to revisit distribution strategies, currently risk-based. Using data from MSM communities in 58 countries, we find that non-selective PrEP distribution often outperforms risk-based, showing that a logistically simpler strategy is also more effective. Our theory may help design more feasible and successful prevention.© 2022. The Author(s).
  • Otros:

    Autor según el artículo: Steinegger B; Iacopini I; Teixeira AS; Bracci A; Casanova-Ferrer P; Antonioni A; Valdano E
    Departamento: Enginyeria Informàtica i Matemàtiques
    Autor/es de la URV: Steinegger, Benjamin Franz Josef
    Palabras clave: efficacy hiv men msm vaccine Preexposure prophylaxis
    Resumen: Epidemic control often requires optimal distribution of available vaccines and prophylactic tools, to protect from infection those susceptible. Well-established theory recommends prioritizing those at the highest risk of exposure. But the risk is hard to estimate, especially for diseases involving stigma and marginalization. We address this conundrum by proving that one should target those at high risk only if the infection-averting efficacy of prevention is above a critical value, which we derive analytically. We apply this to the distribution of pre-exposure prophylaxis (PrEP) of the Human Immunodeficiency Virus (HIV) among men-having-sex-with-men (MSM), a population particularly vulnerable to HIV. PrEP is effective in averting infections, but its global scale-up has been slow, showing the need to revisit distribution strategies, currently risk-based. Using data from MSM communities in 58 countries, we find that non-selective PrEP distribution often outperforms risk-based, showing that a logistically simpler strategy is also more effective. Our theory may help design more feasible and successful prevention.© 2022. The Author(s).
    Áreas temáticas: Antropologia / arqueologia Astronomia / física Biochemistry, genetics and molecular biology (all) Biochemistry, genetics and molecular biology (miscellaneous) Biodiversidade Biotecnología Chemistry (all) Chemistry (miscellaneous) Ciência da computação Ciências agrárias i Ciências ambientais Ciências biológicas i Ciências biológicas ii Ciências biológicas iii Educação física Engenharias iv Farmacia General biochemistry,genetics and molecular biology General chemistry General medicine General physics and astronomy Geociências Interdisciplinar Matemática / probabilidade e estatística Materiais Medicina i Medicina ii Medicina iii Medicina veterinaria Multidisciplinary Multidisciplinary sciences Nutrição Odontología Physics and astronomy (all) Physics and astronomy (miscellaneous) Planejamento urbano e regional / demografia Psicología Química Saúde coletiva Zootecnia / recursos pesqueiros
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: benjamin.steinegger@estudiants.urv.cat
    Identificador del autor: 0000-0002-0723-1536
    Fecha de alta del registro: 2024-09-07
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Referencia al articulo segun fuente origial: Nature Communications. 13 (1): 3028-3028
    Referencia de l'ítem segons les normes APA: Steinegger B; Iacopini I; Teixeira AS; Bracci A; Casanova-Ferrer P; Antonioni A; Valdano E (2022). Non-selective distribution of infectious disease prevention may outperform risk-based targeting. Nature Communications, 13(1), 3028-3028. DOI: 10.1038/s41467-022-30639-3
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2022
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Biochemistry, Genetics and Molecular Biology (Miscellaneous),Chemistry (Miscellaneous),Multidisciplinary Sciences,Physics and Astronomy (Miscellaneous)
    efficacy
    hiv
    men
    msm
    vaccine
    Preexposure prophylaxis
    Antropologia / arqueologia
    Astronomia / física
    Biochemistry, genetics and molecular biology (all)
    Biochemistry, genetics and molecular biology (miscellaneous)
    Biodiversidade
    Biotecnología
    Chemistry (all)
    Chemistry (miscellaneous)
    Ciência da computação
    Ciências agrárias i
    Ciências ambientais
    Ciências biológicas i
    Ciências biológicas ii
    Ciências biológicas iii
    Educação física
    Engenharias iv
    Farmacia
    General biochemistry,genetics and molecular biology
    General chemistry
    General medicine
    General physics and astronomy
    Geociências
    Interdisciplinar
    Matemática / probabilidade e estatística
    Materiais
    Medicina i
    Medicina ii
    Medicina iii
    Medicina veterinaria
    Multidisciplinary
    Multidisciplinary sciences
    Nutrição
    Odontología
    Physics and astronomy (all)
    Physics and astronomy (miscellaneous)
    Planejamento urbano e regional / demografia
    Psicología
    Química
    Saúde coletiva
    Zootecnia / recursos pesqueiros
  • Documentos:

  • Cerca a google

    Search to google scholar