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Ana O Franco

Biographic Data

ID1786760
NAMEAna O Franco
GIVEN NAMESAna
FAMILY NAMEO Franco
SIGNATUREFRANCO A O
AFFILIATIONSLondon School of Hygiene and Tropical Medicine, United Kingdom
ORCID0000-0002-9195-965X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Worker Perspectives on Covid-19 Risks

    Open Access•Erika Meza, Leslie Giglio et al.•ARTICLE•International Journal of…•2022

    Latino construction workers in the U.S. have faced a disproportionate risk for COVID-19 infection in the workplace. Prior studies have focused on quantifying workplace risk for COVID-19 infection; few have captured workers’ experiences and perspectives. This study describes COVID-19-related workplace risks from the perspectives of Latino construction workers. We conducted a qualitative study using semi-structured phone interviews with Latino cons…

  • Desafios e oportunidades na saúde digital

    Open Access•Ana O Franco, M Gabriela M Gomes•ARTICLE•Cadernos de Saude Publica•2017•References: 5

    The article by Leal Neto et al. focuses on exponential technological growth and the consequent changes in the current paradigms of health sciences. The text cites several specific cases, from the perspective of "disruptive innovations" and their impact on public health. In this commentary we will look at some of the cases cited by Leal Neto et al., Complementing his presentation with additional examples, reflecting on some challenges and opportun…

  • The representativeness of a European multi-center network for influenza-like-illness participatory surveillance

    Open Access•Pietro Cantarelli, Marion Debin et al.•ARTICLE•BMC Public Health•2014

    Existing demographic and national datasets allowed the quantification of the participation biases of a large cohort for influenza-like-illness surveillance in the general population. Significant differences were found between Influenzanet participants and the general population. The quantified biases need to be taken into account in the analysis of Influenzanet epidemiological studies and provide indications on populations groups that should be t…

No prominent works on this page.

  • The representativeness of a European multi-center network for influenza-like-illness participatory surveillance

    Open Access•Pietro Cantarelli, Marion Debin et al.•ARTICLE•BMC Public Health•2014

    Existing demographic and national datasets allowed the quantification of the participation biases of a large cohort for influenza-like-illness surveillance in the general population. Significant differences were found between Influenzanet participants and the general population. The quantified biases need to be taken into account in the analysis of Influenzanet epidemiological studies and provide indications on populations groups that should be t…

  • Desafios e oportunidades na saúde digital

    Open Access•Ana O Franco, M Gabriela M Gomes•ARTICLE•Cadernos de Saude Publica•2017•References: 5

    The article by Leal Neto et al. focuses on exponential technological growth and the consequent changes in the current paradigms of health sciences. The text cites several specific cases, from the perspective of "disruptive innovations" and their impact on public health. In this commentary we will look at some of the cases cited by Leal Neto et al., Complementing his presentation with additional examples, reflecting on some challenges and opportun…

  • Worker Perspectives on Covid-19 Risks

    Open Access•Erika Meza, Leslie Giglio et al.•ARTICLE•International Journal of…•2022

    Latino construction workers in the U.S. have faced a disproportionate risk for COVID-19 infection in the workplace. Prior studies have focused on quantifying workplace risk for COVID-19 infection; few have captured workers’ experiences and perspectives. This study describes COVID-19-related workplace risks from the perspectives of Latino construction workers. We conducted a qualitative study using semi-structured phone interviews with Latino cons…

Data-Driven Disease Surveillance (2 works) · Environmental health (2 works) · Medicine (2 works) · Nursing (2 works) · Public health (2 works) · Biostatistics (1 work) · Business (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 and healthcare impacts (1 work) · COVID-19 and Mental Health (1 work)

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