Artículo
Estudio cualicuantitativo de las variables sociales que definen escenarios de transmisión de la fiebre hemorrágica argentina en las provincias de Buenos Aires y Santa Fe, 2001-2010
Quali-quantitative study of the social variables defining transmission scenarios of Argentine Hemorrhagic Fever in the provinces of Buenos Aires and Santa Fe, 2001-2010
Registro en:
10.1590/S1851-82652014000200003
Autor
Mastrángelo, Andrea V.
Tagliabue, Paula
Berro, Lorena
De Carolis, Darío.
Sinchi, Anabel
Digilio, Clara
Enria, Delia
Resumen
Fil: Mastrangelo, Andrea. ANLIS Dr.C.G.Malbrán. Centro Nacional de Diagnóstico e Investigación de Endemo-Epidemias; Argentina. Fil: Tagliabue, Paula. ANLIS Dr.C.G.Malbrán. Centro Nacional de Diagnóstico e Investigación de Endemo-Epidemias; Argentina. Fil: Berro, Lorena. Universidad Nacional del Noroeste de Buenos Aires; Argentina. Fil: De Carolis, Darío. Municipalidad de Rosario; Argentina. Fil: Sinchi, Anabel. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas; Argentina. Fil: Digilio, Clara. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas; Argentina. Fil: Enria, Delia. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas; Argentina. The aim of this paper was to characterize transmission scenarios of Argentine Hemorrhagic Fever in the post-vaccination period (2001-2010). The study was made up of three phases. The first consisted of a quantitative analysis using the database of the Dr. Julio I. Maiztegui National Institute of Human Viral Diseases [Instituto Nacional de Enfermedades Virales Humanas] regarding the confirmed cases in the period of study (221 cases). Taking into account the transmission site and the known endemic area, cases were grouped into three hypothetical transmission scenarios, identified as: a) classical, b) emerging-reemerging, c) traveling. In the second phase, in order to test these hypotheses, in-depth interviews were carried out from August to September 2011 within an intentionally selected sample of patients distributed proportionally among the three hypotheses. Finally, in the third stage, the data obtained for each hypothetical scenario were grouped into three spatiotemporal scales: the microscale (subject), the mesoscale (locality) and macroscale (region). The results show that new transmission sites are associated with the social dynamics of cereal production and port-bound routes.