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Jean Pape

Biographic Data

ID10409678
NAMEJean Pape
GIVEN NAMESJean
FAMILY NAMEPape
SIGNATUREPAPE J
AFFILIATIONSLes Centres Haitian Group for the Study of Kaposi’s Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince HT6110, Haiti
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS1
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Spatial Video and EpiExplorer

    Open Access•Jayakrishnan Ajayakumar, Andrew Curtis et al.•ARTICLE•International Journal of…•2022

    Disease risk associated with contaminated water, poor sanitation, and hygiene in informal settlement environments is conceptually well understood. From an analytical perspective, collecting data at a suitably fine scale spatial and temporal granularity is challenging. Novel mobile methodologies, such as spatial video (SV), can complement more traditional epidemiological field work to address this gap. However, this work then poses additional chal…

  • The Haiti cardiovascular disease cohort

    Open Access•Jean Lookens, Olga Tymejczyk et al.•ARTICLE•BMC Public Health•2020

    The Haiti CVD Cohort is the largest population-based cohort study evaluating CVD risk factors and CVD among adults in urban Haiti with the goal of understanding the drivers of the CVD epidemic in Haiti. Study outcomes are comparable with existing international cohorts, and the biobank will provide important data for future research. Our goal is to translate findings from this study into pragmatic prevention and treatment interventions to fight th…

  • High Burden of Non-communicable Diseases among a Young Slum Population in Haiti

    Open Access•Margaret L McNairy, Olga Tymejczyk et al.•ARTICLE•Journal of Urban Health•2019•Cited by: 1•References: 2

  • Treating loss-to-follow-up as a missing data problem

    Open Access•Deanna Jannat‐Khah, Michelle Unterbrink et al.•ARTICLE•BMC Public Health•2018

    Each of these methods had different assumptions and differed in the number of observations included due to how missing values were addressed. We found MICE to be most robust in predicting survival status as it allowed us to impute missing data so that we had the maximum number of observations to perform regression analyses. MICE also provides a complementary alternative for estimating survival among patients with unassigned vital status. Addition…

  • High Burden of Non-communicable Diseases among a Young Slum Population in Haiti

    Open Access•Margaret L McNairy, Olga Tymejczyk et al.•ARTICLE•Journal of Urban Health•2019•Cited by: 1•References: 2

  • Treating loss-to-follow-up as a missing data problem

    Open Access•Deanna Jannat‐Khah, Michelle Unterbrink et al.•ARTICLE•BMC Public Health•2018

    Each of these methods had different assumptions and differed in the number of observations included due to how missing values were addressed. We found MICE to be most robust in predicting survival status as it allowed us to impute missing data so that we had the maximum number of observations to perform regression analyses. MICE also provides a complementary alternative for estimating survival among patients with unassigned vital status. Addition…

  • High Burden of Non-communicable Diseases among a Young Slum Population in Haiti

    Open Access•Margaret L McNairy, Olga Tymejczyk et al.•ARTICLE•Journal of Urban Health•2019•Cited by: 1•References: 2

  • The Haiti cardiovascular disease cohort

    Open Access•Jean Lookens, Olga Tymejczyk et al.•ARTICLE•BMC Public Health•2020

    The Haiti CVD Cohort is the largest population-based cohort study evaluating CVD risk factors and CVD among adults in urban Haiti with the goal of understanding the drivers of the CVD epidemic in Haiti. Study outcomes are comparable with existing international cohorts, and the biobank will provide important data for future research. Our goal is to translate findings from this study into pragmatic prevention and treatment interventions to fight th…

  • Spatial Video and EpiExplorer

    Open Access•Jayakrishnan Ajayakumar, Andrew Curtis et al.•ARTICLE•International Journal of…•2022

    Disease risk associated with contaminated water, poor sanitation, and hygiene in informal settlement environments is conceptually well understood. From an analytical perspective, collecting data at a suitably fine scale spatial and temporal granularity is challenging. Novel mobile methodologies, such as spatial video (SV), can complement more traditional epidemiological field work to address this gap. However, this work then poses additional chal…

Environmental health (3 works) · Epidemiology (3 works) · Medicine (3 works) · Cohort (2 works) · Cohort study (2 works) · Demography (2 works) · Demography (2 works) · Global Public Health Policies and Epidemiology (2 works) · Internal Medicine (2 works) · Population (2 works)

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