Difference between revisions of "User:William Agangiba/Socioeconomic Factors of HIV"
From Wicri Health
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imported>William Agangiba (→Some interesting articles) |
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''There are many Socioeconomic (Social and Economic) and Sociodemographic (Social and Demographic) factors responsible for HIV infection, transmission and prevalence in Sub-Saharan Africa. Examples of these factors are Education Level, Age-group, Marital Status, Poverty etc. The aim of my work is to study how these factors interact with each other and with HIV'' | ''There are many Socioeconomic (Social and Economic) and Sociodemographic (Social and Demographic) factors responsible for HIV infection, transmission and prevalence in Sub-Saharan Africa. Examples of these factors are Education Level, Age-group, Marital Status, Poverty etc. The aim of my work is to study how these factors interact with each other and with HIV'' | ||
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==Team for this topic== | ==Team for this topic== | ||
* [[User:Jacques Ducloy]] | * [[User:Jacques Ducloy]] | ||
==Some interesting articles== | ==Some interesting articles== | ||
| − | + | * 10 : [http://archive.iussp.org/Brazil2001/s80/S87_04_Sheppard.pdf GENDER AND RISK OF HIV IN GHANA AND UGANDA] | |
| + | * 5 :{{Explor lien | ||
| + | |wiki= Wicri/Sante | ||
| + | |area= SidaGhanaV1 | ||
| + | |flux= Main | ||
| + | |étape= Exploration | ||
| + | |type= RBID | ||
| + | |clé= pubmed:28212629 | ||
| + | |texte= Cardiometabolic risk in a population of older adults with multiple co-morbidities in rural south africa: the HAALSI (Health and Aging in Africa: longitudinal studies of INDEPTH communities) study. | ||
| + | }} | ||
| + | |||
==A first test with Ghana== | ==A first test with Ghana== | ||
* [[AIDS in Ghana (Investigation server)]] | * [[AIDS in Ghana (Investigation server)]] | ||
Latest revision as of 13:17, 22 September 2017
The topic
There are many Socioeconomic (Social and Economic) and Sociodemographic (Social and Demographic) factors responsible for HIV infection, transmission and prevalence in Sub-Saharan Africa. Examples of these factors are Education Level, Age-group, Marital Status, Poverty etc. The aim of my work is to study how these factors interact with each other and with HIV
