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Frank Osei

Biographic Data

ID7747826
NAMEFrank Osei
GIVEN NAMESFrank
FAMILY NAMEOsei
SIGNATUREOSEI F
AFFILIATIONSUniversity of Twente
ORCID0000-0003-2206-3662
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS0
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Spatial econometric modeling of socioeconomic vulnerability and flood impact

    Open Access•Carolina Ferman Carral, Marija Bočkarjova et al.•ARTICLE•International Journal of Disaster…•2025

    As climate-related disasters escalate, particularly in vulnerable communities in the Global South effective risk management strategies become necessary. The objective of this work was to examine the spatial dependencies between socioeconomic vulnerability and flood impacts in Southern Malawi, merging geospatial methods with econometric modeling. The analysis revealed significant spatial dependencies and spillover effects from data in the Unified …

  • Comparison of the association between different ozone indicators and daily respiratory hospitalization in Guangzhou, China

    Open Access•Geng Lin, Lin Geng et al.•ARTICLE•Frontiers in Public Health•2023

    Background Epidemiological studies have widely proven the impact of ozone (O 3 ) on respiratory mortality, while only a few studies compared the association between different O 3 indicators and health. Methods This study explores the relationship between daily respiratory hospitalization and multiple ozone indicators in Guangzhou, China, from 2014 to 2018. It uses a time-stratified case–crossover design. Sensitivities of different age and gender …

  • Urban flood susceptibility mapping based on social media data in Chengdu city, China

    Open Access•Yao Li, Frank Osei et al.•ARTICLE•Sustainable Cities and Society•2023

    Increase in urban flood hazards has become a major threat to cities, causing considerable losses of life and in the economy. To improve pre-disaster strategies and to mitigate potential losses, it is important to make urban flood susceptibility assessments and to carry out spatiotemporal analyses. In this study, we used standard deviation ellipse (SDE) to analyze the spatial pattern of urban floods and find the area of interest (AOI) based upon r…

  • World Hepatitis day 2021 –screening and vaccination against Hepatitis B virus in Accra, Ghana

    Open Access•Kwadwo Asamoah Kusi, William van der Puije et al.•ARTICLE•BMC Public Health•2023

    Lessons learnt: Our medical campaign exercise established an active case prevalence rate of 6.4% and achieved a full vaccination success rate of 66% which is critical in the induction of long-term immunity in the participants. Aside these achievements, we would like to reiterate the importance of the use of different approaches including educational events and WHD activities to target groups and communities to raise awareness. Additionally, home …

  • Bayesian geostatistical modelling of stunting in Rwanda

    Open Access•Vestine Uwiringiyimana, Frank Osei et al.•ARTICLE•BMC Public Health•2022

    Further studies are needed to identify the still unknown spatially explicit factors associated with higher risk of stunting. Finally, given the spatial heterogeneity of stunting, interventions to reduce stunting should be geographically targeted

  • Spatial variation in lymphatic filariasis risk factors of hotspot zones in Ghana

    Open Access•Efiba Vidda Senkyire Kwarteng, Samuel Ato Andam‐Akorful et al.•ARTICLE•BMC Public Health•2021

    This study has demonstrated that different variable combinations influence the occurrence of lymphatic filariasis in northern and southern Ghana. Thus, an understanding of the geographic distinctness in risk factors is required to inform on the development of area-specific transmission control systems towards LF elimination in Ghana and internationally

  • Poisson-Gamma Mixture Spatially Varying Coefficient Modeling of Small-Area Intestinal Parasites Infection

    Open Access•Frank Osei, Alfred Stein et al.•ARTICLE•International Journal of…•2019

    Understanding the spatially varying effects of demographic factors on the spatio-temporal variation of intestinal parasites infections is important for public health intervention and monitoring. This paper presents a hierarchical Bayesian spatially varying coefficient model to evaluate the effects demographic factors on intestinal parasites morbidities in Ghana. The modeling relied on morbidity data collected by the District Health Information Ma…

  • Modeling Schistosoma japonicum Infection under Pure Specification Bias

    Open Access•Andrea L Araujo Navas, Frank Osei et al.•ARTICLE•International Journal of…•2019

    Uncertainties in spatial modeling studies of schistosomiasis (SCH) are relevant for the reliable identification of at-risk populations. Ecological fallacy occurs when ecological or group-level analyses, such as spatial aggregations at a specific administrative level, are carried out for an individual-level inference. This could lead to the unreliable identification of at-risk populations, and consequently to fallacies in the drugs’ allocation str…

  • Spatial variation and hot-spots of district level diarrhea incidences in Ghana

    Open Access•Frank Osei, Frank Badu Osei et al.•ARTICLE•BMC Public Health•2017

    This study has revealed that the excess incidences of diarrhea is spatially clustered with peri-urban districts showing the greatest risk of space-time clustering. More attention should therefore be paid to diarrhea in peri-urban districts. These findings also prompt public health officials to integrate disease mapping and cluster analyses in developing location specific interventions for reducing diarrhea

No prominent works on this page.

  • Spatial variation and hot-spots of district level diarrhea incidences in Ghana

    Open Access•Frank Osei, Frank Badu Osei et al.•ARTICLE•BMC Public Health•2017

    This study has revealed that the excess incidences of diarrhea is spatially clustered with peri-urban districts showing the greatest risk of space-time clustering. More attention should therefore be paid to diarrhea in peri-urban districts. These findings also prompt public health officials to integrate disease mapping and cluster analyses in developing location specific interventions for reducing diarrhea

  • Poisson-Gamma Mixture Spatially Varying Coefficient Modeling of Small-Area Intestinal Parasites Infection

    Open Access•Frank Osei, Alfred Stein et al.•ARTICLE•International Journal of…•2019

    Understanding the spatially varying effects of demographic factors on the spatio-temporal variation of intestinal parasites infections is important for public health intervention and monitoring. This paper presents a hierarchical Bayesian spatially varying coefficient model to evaluate the effects demographic factors on intestinal parasites morbidities in Ghana. The modeling relied on morbidity data collected by the District Health Information Ma…

  • Modeling Schistosoma japonicum Infection under Pure Specification Bias

    Open Access•Andrea L Araujo Navas, Frank Osei et al.•ARTICLE•International Journal of…•2019

    Uncertainties in spatial modeling studies of schistosomiasis (SCH) are relevant for the reliable identification of at-risk populations. Ecological fallacy occurs when ecological or group-level analyses, such as spatial aggregations at a specific administrative level, are carried out for an individual-level inference. This could lead to the unreliable identification of at-risk populations, and consequently to fallacies in the drugs’ allocation str…

  • Spatial variation in lymphatic filariasis risk factors of hotspot zones in Ghana

    Open Access•Efiba Vidda Senkyire Kwarteng, Samuel Ato Andam‐Akorful et al.•ARTICLE•BMC Public Health•2021

    This study has demonstrated that different variable combinations influence the occurrence of lymphatic filariasis in northern and southern Ghana. Thus, an understanding of the geographic distinctness in risk factors is required to inform on the development of area-specific transmission control systems towards LF elimination in Ghana and internationally

  • Bayesian geostatistical modelling of stunting in Rwanda

    Open Access•Vestine Uwiringiyimana, Frank Osei et al.•ARTICLE•BMC Public Health•2022

    Further studies are needed to identify the still unknown spatially explicit factors associated with higher risk of stunting. Finally, given the spatial heterogeneity of stunting, interventions to reduce stunting should be geographically targeted

  • Comparison of the association between different ozone indicators and daily respiratory hospitalization in Guangzhou, China

    Open Access•Geng Lin, Lin Geng et al.•ARTICLE•Frontiers in Public Health•2023

    Background Epidemiological studies have widely proven the impact of ozone (O 3 ) on respiratory mortality, while only a few studies compared the association between different O 3 indicators and health. Methods This study explores the relationship between daily respiratory hospitalization and multiple ozone indicators in Guangzhou, China, from 2014 to 2018. It uses a time-stratified case–crossover design. Sensitivities of different age and gender …

  • Urban flood susceptibility mapping based on social media data in Chengdu city, China

    Open Access•Yao Li, Frank Osei et al.•ARTICLE•Sustainable Cities and Society•2023

    Increase in urban flood hazards has become a major threat to cities, causing considerable losses of life and in the economy. To improve pre-disaster strategies and to mitigate potential losses, it is important to make urban flood susceptibility assessments and to carry out spatiotemporal analyses. In this study, we used standard deviation ellipse (SDE) to analyze the spatial pattern of urban floods and find the area of interest (AOI) based upon r…

  • World Hepatitis day 2021 –screening and vaccination against Hepatitis B virus in Accra, Ghana

    Open Access•Kwadwo Asamoah Kusi, William van der Puije et al.•ARTICLE•BMC Public Health•2023

    Lessons learnt: Our medical campaign exercise established an active case prevalence rate of 6.4% and achieved a full vaccination success rate of 66% which is critical in the induction of long-term immunity in the participants. Aside these achievements, we would like to reiterate the importance of the use of different approaches including educational events and WHD activities to target groups and communities to raise awareness. Additionally, home …

  • Spatial econometric modeling of socioeconomic vulnerability and flood impact

    Open Access•Carolina Ferman Carral, Marija Bočkarjova et al.•ARTICLE•International Journal of Disaster…•2025

    As climate-related disasters escalate, particularly in vulnerable communities in the Global South effective risk management strategies become necessary. The objective of this work was to examine the spatial dependencies between socioeconomic vulnerability and flood impacts in Southern Malawi, merging geospatial methods with econometric modeling. The analysis revealed significant spatial dependencies and spillover effects from data in the Unified …

Medicine (7 works) · Environmental health (6 works) · Geography (5 works) · Child Nutrition and Water Access (4 works) · Population (4 works) · Statistics (4 works) · Demography (3 works) · Environmental Science (3 works) · Immunology (3 works) · Mathematics (3 works)

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