Bruno Hoen
Dados Biográficos
| ID | 8934893 |
|---|---|
| NOME | Bruno Hoen |
| PRENOMES | Bruno |
| SOBRENOME | Hoen |
| ASSINATURA | HOEN B |
| AFILIAÇÕES | Centre d’Investigation Clinique Antilles-Guyane INSERM CIC 1424, CHU de Pointe-à-Pitre, Guadeloupe, France |
| ORCID | 0000-0003-3070-3017 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2012 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2017 |
| ÍNDICE H | 0 |
Transactional sex among men who have sex with men in the French Antilles and French Guiana
The French Antilles (Martinique, Saint Martin and Guadeloupe) and French Guiana are the French territories most affected by the HIV epidemic. Some population groups such as men who have sex with men (MSM), especially those involved in transactional sex, are thought to be particularly vulnerable to HIV but few data exist to help characterize their health-related needs and thus implement relevant prevention interventions. To fill this knowledge gap…
Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010
Disability-adjusted life years (Dalys) for 291 diseases and injuries in 21 regions, 1990–2010
Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010
Sem obras proeminentes nesta página.
Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010
Disability-adjusted life years (Dalys) for 291 diseases and injuries in 21 regions, 1990–2010
Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010
Transactional sex among men who have sex with men in the French Antilles and French Guiana
The French Antilles (Martinique, Saint Martin and Guadeloupe) and French Guiana are the French territories most affected by the HIV epidemic. Some population groups such as men who have sex with men (MSM), especially those involved in transactional sex, are thought to be particularly vulnerable to HIV but few data exist to help characterize their health-related needs and thus implement relevant prevention interventions. To fill this knowledge gap…
Demography (3 obras) · Medicine (3 obras) · Population (3 obras) · Disease burden (2 obras) · Environmental health (2 obras) · Epidemiology (2 obras) · Gerontology (2 obras) · Global health (2 obras) · Health disparities and outcomes (2 obras) · Psychiatry (2 obras)