P2-S2.08 Changing patterns and drivers of migration among female sex workers of Northern Karnataka to large cities of Maharashtra, India in the context of HIV/AIDS
Notice bibliographique
Résumé
Background and Objectives The large number of FSWs from the rural areas of Northern Karnataka's three districts namely Bagalkot, Belgaum and Bijapur (3B districts) who migrate and work in Maharashtra cities particularly in Solapur, Poona, Bhiwandi and Mumbai in brothels and lodges. In this corridor” of migration and interconnected HIV epidemics, an attempt is made in this paper to specifically address the following objectives: 1. To assess the volume of sex worker migration from different sites and its annual turnover. 2. To describe the patterns of sex worker migration to and from the three districts of northern Karnataka and the large urban centres of Maharashtra. Methods Mapping was conducted following enumeration of the units; visited each unit (brothels and in some areas also lodges and/or dhabas) where we had prior information that sex work was conducted and interviewed the unit manager (ie, brothel madam, lodge/ dhaba manager). The manager provided information regarding: the number of FSWs working in the unit at the time—total number, FSWs from Karnataka, FSWs from the 3B districts; number of FSWs from the 3B districts that worked in the unit in the previous year and how many of them had moved to another unit in the same area. Moreover, managers provided the place of origin, age and duration of stay in the area of the FSWs from the 3B districts working in the unit at the time of data collection. Results In case of Bhivandi, Mumbai's Kamathipur and Poona, 571, 390 and 604 FSWs were from 3B districts respectively. There were 338 women working in Solapur. Of the 338 women, 127 were from Karnataka and all most all of them (114) from the 3B districts. Conclusions Migration of FSWs from 3B districts is decreasing considerably to Maharashtra brothels. There is high turnover of FSWs from 3B districts in Solapur (100% per month), especially in lodges. This suggests that the proximity of Solapur to Bijapur (the main place of origin for FSWs in this place of destination) may be an important driver of the movement of FSWs. In other words, the difference in turnover between Solapur and the other places of destination may be indicative of two changes in the migration pattern: a) FSWs from the 3B districts may prefer closer destinations, rather than the “classic brothel based” destinations (eg, Mumbai, Pune, Bhiwandi due to declining clients); and b) FSWs from the 3B district who migrate to nearby destinations may prefer working in lodges rather than brothels, the “classic” place of sex work in Maharashtra where high prevalence of HIV/AIDS is observed. This is supported by mean ages of the FSWs (31.5, 28.3, 34.5 and 27.6) and mean durations of stay (10.5, 6.8, 11.9 and 4.0) in Bhiwandi, Pune, Mumbai and Solapur respectively.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».