BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 29996876)

  • 1. Capturing the spatial variability of HIV epidemics in South Africa and Tanzania using routine healthcare facility data.
    Cuadros DF; Sartorius B; Hall C; Akullian A; Bärnighausen T; Tanser F
    Int J Health Geogr; 2018 Jul; 17(1):27. PubMed ID: 29996876
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control.
    Cuadros DF; Li J; Branscum AJ; Akullian A; Jia P; Mziray EN; Tanser F
    Sci Rep; 2017 Aug; 7(1):9093. PubMed ID: 28831171
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Mapping and characterising areas with high levels of HIV transmission in sub-Saharan Africa: A geospatial analysis of national survey data.
    Bulstra CA; Hontelez JAC; Giardina F; Steen R; Nagelkerke NJD; Bärnighausen T; de Vlas SJ
    PLoS Med; 2020 Mar; 17(3):e1003042. PubMed ID: 32142509
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Spatial variability in HIV prevalence declines in several countries in sub-Saharan Africa.
    Cuadros DF; Abu-Raddad LJ
    Health Place; 2014 Jul; 28():45-9. PubMed ID: 24747195
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Spatial clustering of "measured" and "unmeasured" risk factors for HIV infections in hyper-endemic communities in KwaZulu-Natal, South Africa: results from geoadditive models.
    Wand H; Ramjee G
    AIDS Care; 2015; 27(11):1375-81. PubMed ID: 26679265
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Investigating inequalities in HIV testing in sub-Saharan Africa: spatial analysis of cross-sectional population-based surveys in 25 countries.
    Ante-Testard PA; Carrasco-Escobar G; Benmarhnia T; Temime L; Jean K
    BMJ Open; 2023 Dec; 13(12):e072403. PubMed ID: 38081667
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Mapping HIV clustering: a strategy for identifying populations at high risk of HIV infection in sub-Saharan Africa.
    Cuadros DF; Awad SF; Abu-Raddad LJ
    Int J Health Geogr; 2013 May; 12():28. PubMed ID: 23692994
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions.
    Chimoyi L; Matsena-Zingoni Z; Charalambous S; Marinda E; Manda S; Musenge E
    Geospat Health; 2022 Aug; 17(2):. PubMed ID: 36047343
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Geographical Patterns of HIV Sero-Discordancy in High HIV Prevalence Countries in Sub-Saharan Africa.
    Cuadros DF; Abu-Raddad LJ
    Int J Environ Res Public Health; 2016 Aug; 13(9):. PubMed ID: 27589776
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Targeting the hotspots: investigating spatial and demographic variations in HIV infection in small communities in South Africa.
    Wand H; Ramjee G
    J Int AIDS Soc; 2010 Oct; 13():41. PubMed ID: 20979651
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The Arts and Tools for Using Routine Health Data to Establish HIV High Burden Areas: The Pilot Case of KwaZulu-Natal South Africa.
    Wabiri N; Naidoo I; Mungai E; Samuel C; Ngwenya T
    Front Public Health; 2019; 7():335. PubMed ID: 31781533
    [No Abstract]   [Full Text] [Related]  

  • 12. Localized spatial clustering of HIV infections in a widely disseminated rural South African epidemic.
    Tanser F; Bärnighausen T; Cooke GS; Newell ML
    Int J Epidemiol; 2009 Aug; 38(4):1008-16. PubMed ID: 19261659
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Beyond HIV prevalence: identifying people living with HIV within underserved areas in South Africa.
    Kim H; Tanser F; Tomita A; Vandormael A; Cuadros DF
    BMJ Glob Health; 2021 Apr; 6(4):. PubMed ID: 33883186
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Spatial analysis of HIV infection and associated individual characteristics in Burundi: indications for effective prevention.
    Barankanira E; Molinari N; Niyongabo T; Laurent C
    BMC Public Health; 2016 Feb; 16():118. PubMed ID: 26847711
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Risk factors and micro-geographical heterogeneity of Schistosoma haematobium in Ndumo area, uMkhanyakude district, KwaZulu-Natal, South Africa.
    Manyangadze T; Chimbari MJ; Gebreslasie M; Mukaratirwa S
    Acta Trop; 2016 Jul; 159():176-84. PubMed ID: 27012720
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Infant mortality in South Africa--distribution, associations and policy implications, 2007: an ecological spatial analysis.
    Sartorius BK; Sartorius K; Chirwa TF; Fonn S
    Int J Health Geogr; 2011 Nov; 10():61. PubMed ID: 22093084
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Analyzing spatial clustering and the spatiotemporal nature and trends of HIV/AIDS prevalence using GIS: the case of Malawi, 1994-2010.
    Zulu LC; Kalipeni E; Johannes E
    BMC Infect Dis; 2014 May; 14():285. PubMed ID: 24886573
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Population and antenatal-based HIV prevalence estimates in a high contracepting female population in rural South Africa.
    Rice BD; Bätzing-Feigenbaum J; Hosegood V; Tanser F; Hill C; Barnighausen T; Herbst K; Welz T; Newell ML
    BMC Public Health; 2007 Jul; 7():160. PubMed ID: 17640354
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Geographic variation in sexual behavior can explain geospatial heterogeneity in the severity of the HIV epidemic in Malawi.
    Palk L; Blower S
    BMC Med; 2018 Feb; 16(1):22. PubMed ID: 29422096
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Spatial distribution and determinants of HIV high burden in the Southern African sub-region.
    Adetokunboh OO; Are EB
    PLoS One; 2024; 19(4):e0301850. PubMed ID: 38669230
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.