| Literature DB >> 18330059 |
Abstract
The article reviews information on the epidemiology of HIV/AIDS and behavioural networking to examine the role of population mobility in spreading HIV across the Indo-Nepal border. Documents were collected through a systematic search of electronic databases and web-based information resources, and the review focuses on studies about types of the virus, prevalence of HIV, and sexual and injecting networking. HIV-1 (subtype C) and HIV-2 were identified in Nepal. The prevalence of HIV was higher among male labour migrants and female sex workers (FSWs) who returned from India, especially from Mumbai, than in similar non-migrant groups. In the early 2000s, about 6-10% of Mumbai returnee men, compared to up to 4% of India returnee men and up to 3% of non-migrant men in the far-west Nepal, were identified with HIV. Likewise, when the prevalence of HIV among sex workers in Kathmandu was found to be 17% in 1999-2000, up to 44% of India returnee and 73% of Mumbai returnee FSWs were identified with the virus. These data are, however, based on small samples with questionable representativeness of the target populations and need to be interpreted cautiously. They also generate a biased impression that HIV was coming into Nepal from India. Recently, the possibility of a two-way flow of HIV across the Indo-Nepal border through injecting and sexual networking have been indicated by serological and behavioural data from a south-eastern cluster of Nepal and a north-eastern district of India. Although similar behavioural networks exist along other segments of the border, serological data are unavailable to assess whether and how extensively this phenomenon has caused the spread of HIV. Collaborative research and interventions covering both sides of the border are desirable to fully understand and address the prospect of HIV epidemics associated with cross-border population mixing.Entities:
Mesh:
Year: 2007 PMID: 18330059 PMCID: PMC2754024
Source DB: PubMed Journal: J Health Popul Nutr ISSN: 1606-0997 Impact factor: 2.000
Fig. 1Map showing the approximate geographic locations of major HIV epidemics (according to the highest prevalence in 1999–2005) in Nepal and the major high-prevalence groups in India with which they are linked through population mobility
Fig. 2Approximate geographic locations of injecting drug-use-related HIV epidemics identified in eastern terai, southeast Nepal in 2003 and Darjeeling district, India, in 2004
Percentage of HIV-positive persons by migration status, Nepal
| Population and location | Year | All | Internal migrants | Worked in India | Worked in Mumbai | Non-migrants | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| No. | % | No. | % | No. | % | No. | % | No. | % | ||
| Community | |||||||||||
| Adult men, Doti (24 | 2001 (Apr) | 137 | 8.0 | - | - | 97 | 10.3 | 40 | 2.5 | ||
| Adult men, Achham (25 | 2001 (Oct-Nov) | 610 | 2.3 | 100 | 3.0 | 242 | 3.7 | 90 | 7.8 | 268 | 0.7 |
| Adult men, Kailali (26 | 2001 (Oct-Nov) | 610 | 0.3 | - | 308 | 0.6 | 33 | 6.1 | 302 | 0.0 | |
| Clinic attendees | |||||||||||
| Adult men, VCT attendees (27 | Sep 2001-Jun 2003 | 316 | 4.4 | 210 | 2.3 | 106 | 8.5 | 32 | 12.5 | - | |
| Risk group | |||||||||||
| Sex workers, Kathmandu (22 | 1999–2000 (Nov-Feb) | 300 | 17.3 | - | 9 | 44.4 | - | - | |||
| Sex workers, Kathmandu (28 | 2001 (Mar-Aug) | 300 | 15.7 | - | 33 | 41.7 | 12 | 72.7 | - | ||
∗ Indicates reference no. in the References List
† Combines respondents who worked in Mumbai only (5/65=7.7%) and Mumbai and other places (2/25=7.8%). Of the 152 India returnees who did not work in Mumbai, 2 were HIV-positive (1.3%)
VCT=Voluntary and counselling testing