Prospective cohort study in the early stage of the COVID-19 pandemic, District of General Pueyrredón, Argentina (INECOVID): infection dynamics and risk factors

Detalhes bibliográficos
Autor(a) principal: Marro, Jimena
Data de Publicação: 2021
Outros Autores: Ballejo, Christian, Aguirre, María Fernanda, San Martín, María Eugenia de, Miranda, Lucía López, Poncet, Verónica, Silva, Andrea
Tipo de documento: preprint
Idioma: spa
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/2984
Resumo: Objective: to establish the magnitude and risk factors for SARS-CoV-2 infection in the District of General Pueyrredón, Buenos Aires, Argentina: the INECOVID study. Methodology: a prospective cohort was designed with participants from the District general population. The follow-up period was from June 22 to December 18, 2020, with a minimum appointment interval of 21 days. Data were obtained via questionnaires and serum or plasma samples. The primary event was considered as the time through seroconversion as evidence of SARS-CoV-2 infection. The accumulated risk of infection was estimated using the Kaplan Meier method. Cox models were built with time-dependent variables. Results: 345 participants were recruited (n = 222 women, 64.3%; 123 men, 35.7%), with a median age of 45 years in women (Interquartile range: 19) and 49 in men (Interquartile range: 26). 12.8% of participants (n = 44) had evidence of SARS-CoV-2 infection [incidence density of 9.1 cases (women: 11.1, men: 5.1) per 10,000 person-day]. 36.4% of the cases (n=16) were asymptomatic. The following factors were associated to the risk of infection: being a close contact of a confirmed COVID-19 case (HR=5,56; IC95% 2,85-10,83), being a health worker (HR=2,93; IC95% 1,55-5,52), living in crowded conditions (HR= 2,23; IC95% 1,13-4,49) and age (HR= 0,98; IC95% 0,95-1,00). Conclusion: the identified risk factors endorse the protection policies and protocols adopted by the Argentinian sanitary authorities for the general population and the care programs for health workers in the pre-vaccination phase.
id SCI-1_72372fa804d2456c8e3efb6324a72073
oai_identifier_str oai:ops.preprints.scielo.org:preprint/2984
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling Prospective cohort study in the early stage of the COVID-19 pandemic, District of General Pueyrredón, Argentina (INECOVID): infection dynamics and risk factorsEstudio de cohortes prospectivo en etapa temprana de la pandemia COVID-19, Partido de General Pueyrredón, Argentina (INECOVID): dinámica de infección y factores de riesgoCoronavirus InfectionsCohort StudiesRisk FactorsEpidemiologyInfecciones por CoronavirusEstudios de CohortesFactores de RiesgoEpidemiologíaObjective: to establish the magnitude and risk factors for SARS-CoV-2 infection in the District of General Pueyrredón, Buenos Aires, Argentina: the INECOVID study. Methodology: a prospective cohort was designed with participants from the District general population. The follow-up period was from June 22 to December 18, 2020, with a minimum appointment interval of 21 days. Data were obtained via questionnaires and serum or plasma samples. The primary event was considered as the time through seroconversion as evidence of SARS-CoV-2 infection. The accumulated risk of infection was estimated using the Kaplan Meier method. Cox models were built with time-dependent variables. Results: 345 participants were recruited (n = 222 women, 64.3%; 123 men, 35.7%), with a median age of 45 years in women (Interquartile range: 19) and 49 in men (Interquartile range: 26). 12.8% of participants (n = 44) had evidence of SARS-CoV-2 infection [incidence density of 9.1 cases (women: 11.1, men: 5.1) per 10,000 person-day]. 36.4% of the cases (n=16) were asymptomatic. The following factors were associated to the risk of infection: being a close contact of a confirmed COVID-19 case (HR=5,56; IC95% 2,85-10,83), being a health worker (HR=2,93; IC95% 1,55-5,52), living in crowded conditions (HR= 2,23; IC95% 1,13-4,49) and age (HR= 0,98; IC95% 0,95-1,00). Conclusion: the identified risk factors endorse the protection policies and protocols adopted by the Argentinian sanitary authorities for the general population and the care programs for health workers in the pre-vaccination phase.Objetivo: establecer la magnitud y los factores de riesgo de infección por SARS-CoV-2 en el Partido de General Pueyrredón, Buenos Aires, Argentina: estudio INECOVID. Métodos: diseño de cohortes prospectivo con participantes de población general del partido. El período de seguimiento fue del 22 de junio al 18 de diciembre de 2020, con un intervalo mínimo de citación de 21 días. Los datos se obtuvieron mediante cuestionarios y muestras de suero o plasma. El evento primario fue el tiempo hasta la seroconversión (IgG) como evidencia de infección por SARS-CoV-2. Se estimó el riesgo acumulado de infección por el método de Kaplan Meier. Se construyeron modelos de Cox con variables tiempo-dependientes. Resultados: fueron reclutados 345 participantes (n=222 mujeres, 64,3%; 123 varones, 35,7%), con una edad mediana de 45 años en mujeres (Rango intercuartílico: 19) y 49 en varones (Rango intercuartílico: 26).  El 12,8% de los participantes (n=44) tuvo evidencia de infección por SARS-CoV-2 [densidad de incidencia de 9,1 casos (mujeres: 11,1, varones: 5,1) por 10.000 días-persona]. El 36,4% de los casos (n=16) fue asintomático. Se mostraron asociados al riesgo de infección: ser contacto estrecho de un caso confirmado de COVID-19 (HR=5,56; IC95% 2,85-10,83), ser trabajador de salud (HR=2,93; IC95% 1,55-5,52), vivir en hacinamiento (HR= 2,23; IC95% 1,13-4,49) y edad (HR= 0,98; IC95% 0,95-1,00). Conclusión: los factores de riesgo de infección hallados avalan las políticas y protocolos de protección adoptadas por las autoridades sanitarias de Argentina para población general y los programas de cuidado de los trabajadores de salud en la etapa pre-vacunación.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-09-23info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/298410.1590/1980-549720210055spahttps://preprints.scielo.org/index.php/scielo/article/view/2984/5312Copyright (c) 2021 Jimena Marro, Christian Ballejo, María Fernanda Aguirre, María Eugenia de San Martín, Lucía López Miranda, Verónica Poncet, Andrea Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMarro, Jimena Ballejo, Christian Aguirre, María Fernanda San Martín, María Eugenia de Miranda, Lucía López Poncet, Verónica Silva, Andrea reponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-09-23T17:46:36Zoai:ops.preprints.scielo.org:preprint/2984Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-09-23T17:46:36SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Prospective cohort study in the early stage of the COVID-19 pandemic, District of General Pueyrredón, Argentina (INECOVID): infection dynamics and risk factors
Estudio de cohortes prospectivo en etapa temprana de la pandemia COVID-19, Partido de General Pueyrredón, Argentina (INECOVID): dinámica de infección y factores de riesgo
title Prospective cohort study in the early stage of the COVID-19 pandemic, District of General Pueyrredón, Argentina (INECOVID): infection dynamics and risk factors
spellingShingle Prospective cohort study in the early stage of the COVID-19 pandemic, District of General Pueyrredón, Argentina (INECOVID): infection dynamics and risk factors
Marro, Jimena
Coronavirus Infections
Cohort Studies
Risk Factors
Epidemiology
Infecciones por Coronavirus
Estudios de Cohortes
Factores de Riesgo
Epidemiología
title_short Prospective cohort study in the early stage of the COVID-19 pandemic, District of General Pueyrredón, Argentina (INECOVID): infection dynamics and risk factors
title_full Prospective cohort study in the early stage of the COVID-19 pandemic, District of General Pueyrredón, Argentina (INECOVID): infection dynamics and risk factors
title_fullStr Prospective cohort study in the early stage of the COVID-19 pandemic, District of General Pueyrredón, Argentina (INECOVID): infection dynamics and risk factors
title_full_unstemmed Prospective cohort study in the early stage of the COVID-19 pandemic, District of General Pueyrredón, Argentina (INECOVID): infection dynamics and risk factors
title_sort Prospective cohort study in the early stage of the COVID-19 pandemic, District of General Pueyrredón, Argentina (INECOVID): infection dynamics and risk factors
author Marro, Jimena
author_facet Marro, Jimena
Ballejo, Christian
Aguirre, María Fernanda
San Martín, María Eugenia de
Miranda, Lucía López
Poncet, Verónica
Silva, Andrea
author_role author
author2 Ballejo, Christian
Aguirre, María Fernanda
San Martín, María Eugenia de
Miranda, Lucía López
Poncet, Verónica
Silva, Andrea
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Marro, Jimena
Ballejo, Christian
Aguirre, María Fernanda
San Martín, María Eugenia de
Miranda, Lucía López
Poncet, Verónica
Silva, Andrea
dc.subject.por.fl_str_mv Coronavirus Infections
Cohort Studies
Risk Factors
Epidemiology
Infecciones por Coronavirus
Estudios de Cohortes
Factores de Riesgo
Epidemiología
topic Coronavirus Infections
Cohort Studies
Risk Factors
Epidemiology
Infecciones por Coronavirus
Estudios de Cohortes
Factores de Riesgo
Epidemiología
description Objective: to establish the magnitude and risk factors for SARS-CoV-2 infection in the District of General Pueyrredón, Buenos Aires, Argentina: the INECOVID study. Methodology: a prospective cohort was designed with participants from the District general population. The follow-up period was from June 22 to December 18, 2020, with a minimum appointment interval of 21 days. Data were obtained via questionnaires and serum or plasma samples. The primary event was considered as the time through seroconversion as evidence of SARS-CoV-2 infection. The accumulated risk of infection was estimated using the Kaplan Meier method. Cox models were built with time-dependent variables. Results: 345 participants were recruited (n = 222 women, 64.3%; 123 men, 35.7%), with a median age of 45 years in women (Interquartile range: 19) and 49 in men (Interquartile range: 26). 12.8% of participants (n = 44) had evidence of SARS-CoV-2 infection [incidence density of 9.1 cases (women: 11.1, men: 5.1) per 10,000 person-day]. 36.4% of the cases (n=16) were asymptomatic. The following factors were associated to the risk of infection: being a close contact of a confirmed COVID-19 case (HR=5,56; IC95% 2,85-10,83), being a health worker (HR=2,93; IC95% 1,55-5,52), living in crowded conditions (HR= 2,23; IC95% 1,13-4,49) and age (HR= 0,98; IC95% 0,95-1,00). Conclusion: the identified risk factors endorse the protection policies and protocols adopted by the Argentinian sanitary authorities for the general population and the care programs for health workers in the pre-vaccination phase.
publishDate 2021
dc.date.none.fl_str_mv 2021-09-23
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/2984
10.1590/1980-549720210055
url https://preprints.scielo.org/index.php/scielo/preprint/view/2984
identifier_str_mv 10.1590/1980-549720210055
dc.language.iso.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/2984/5312
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047824976707584