Background
Human immunodeficiency virus (HIV) is a major public health challenge in India, which is experiencing a concentrated epidemic affecting high-risk groups including female sex workers (FSWs) [
1],[
2]. Nagaland, a geographically isolated state in the northeast of India, consistently reports a relatively high HIV prevalence; in 2009, the adult prevalence of HIV infection in Nagaland was estimated to be 0.8% compared with 0.3% nationally [
3]. Nagaland borders Myanmar, and the people of Nagaland are culturally, linguistically and ethnically distinct from the rest of India. Approximately 90.0% are Christian [
4], and the Church influences public and private spheres, and consequently public health issues are responded to in a socially conservative environment. Geographical isolation, fear of discrimination and concerns regarding lack of confidentiality are some of the barriers that inhibit access to standard health care services for groups at high risk for HIV infection such as FSWs [
5].
Dimapur is Nagaland’s main business centre and a hub for commercial sex work, hosting an estimated 1 800 to 3 500 FSWs [
6],[
7]. According to the National AIDS Control Organisation’s HIV Sentinel Surveillance program, the HIV prevalence among FSWs operating in Dimapur increased from 4.4% to 14.1% between 2003 and 2008 (compared with 4.9% nationally) [
8]. The prevalence of sexually transmitted infections (STIs) among sex workers is high, indicating that unprotected sex is common. For example, in 2009, 12.7% of FSWs in Dimapur had reactive syphilis serology (down from 22.1% in 2006) [
7],[
9]. Brothels are not present in Nagaland, and FSWs experience harassment from a range of sources including the police and local gangsters [
5].
The Bill & Melinda Gates Foundation-funded Avahan HIV prevention program in India undertook a large cross-sectional survey among high-risk groups in six states, including FSWs in Nagaland [
10]. The Integrated Behavioural and Biological Assessment (IBBA) was conducted in 2006 and 2009. During previous analyses of syphilis among FSWs in Dimapur using 2006 IBBA data, we noted that syphilis prevalence varied substantially not only according to place of solicitation and place of sex, but also according to combinations of these two variables [
11]. Overall syphilis prevalence was high at 22.6%. FSWs who solicited in public places had a syphilis prevalence of 33.7%, but there were major differences according to where they had sex. For example, among those FSWs who solicited in a public place and had sex in a hotel or rented room the syphilis prevalence was 38.5%, which was much higher than those who solicited in a public place and had sex at home (25.8%) [
11].
Two other Indian studies had investigated FSW typologies by combining place of solicitation with place of sex, both of which came from southern India [
12],[
13]. Substantial variation was found in terms of demographic profile, sex work patterns, condom use, HIV prevalence and STI prevalence according to these locations.
Jain & Saggurti [
13] identified variations in sex work patterns in four states of India, highlighting the need for typologies to be context appropriate. For example, in South India brothels are a common site for sex work, which is not the case in Nagaland.
The relationship between women’s STI and HIV vulnerability and the type of sex work they engage with is likely to be an interdependent one. It is probable that the socio-economic vulnerability of a woman influences the type of sex work she engages with, and some types of sex work are more likely to place her at risk of STIs and HIV infection than others. Sex work categories are generally differentiated by where the solicitation and/or sex takes place i.e. the physical and social environment surrounding the sex work, be it public place, home, brothel, rented room etc. Gieryn (2000) argues that place mediates our social lives in a number of important ways i.e. it is not just a setting for activities, or even an independent variable that needs to be controlled for; rather place is an `agentic player in the game ’ a force with detectable and independent effects on social life [14, p.466]. Some environments are inherently more unsafe than others, and thereby place women engaging in sex work at greater risk of stigmatisation, harassment, violence, and HIV and STI infection.
As the earlier analysis of the syphilis prevalence among FSWs in Dimapur indicated that combining place of solicitation with place of sex may provide a more nuanced understanding of HIV and STI profiles and risks, we decided to analyse the most recent data from the 2009 IBBA [
7] in order to address the following objectives: 1) to construct a typology of female sex work in Dimapur by combining place of solicitation and place of sex, and 2) to examine variation in demographics, sex work patterns, STI and HIV risks and prevalence across the categories of this typology. The findings from this analysis can contribute to the design of more effectively targeted HIV prevention interventions.
Results
There were 417 FSWs recruited into the study. The usual places of solicitation and sex reported by the participants are shown in Table
1. Public place was the most frequently reported place of solicitation (44.8%), and the majority of the sample (60.0%) usually had sex with clients in a RRL (Table
1).
Table 1
Typology of sex work in Nagaland, based on usual place of solicitation and sex (n = 417)
Usual place of solicitation | Public place | 187 | 44.8 |
Phone | 84 | 20.1 |
Home | 79 | 18.9 |
Rented room/lodge | 39 | 9.4 |
Other | 28 | 6.7 |
Usual place of sex | Rented room/lodge | 250 | 60.0 |
Home | 121 | 29.0 |
Public place | 24 | 5.8 |
Other | 22 | 5.3 |
Place of solicitation and place of sex combined | Public place to rented room/lodge | 132 | 31.7 |
Home to home | 67 | 16.1 |
Phone to rented room/lodge | 64 | 15.3 |
Rented room/lodge to rented room/lodge | 36 | 8.6 |
Public place to home | 31 | 7.4 |
Public place to public place | 20 | 4.8 |
Phone to home | 16 | 3.8 |
Other | 51 | 12.2 |
The largest sex work typology category was comprised of those who usually solicited in a public place and had sex in a RRL (31.7%), followed by home-to-home (16.1%) and phone-to-RRL (15.3%). A smaller number of participants comprised the categories RRL-to-RRL (8.6%), public-to-home (7.4%), public-to-public (4.8%), and phone-to-home (3.8%).
Socio-demographics and sex work characteristics
Data on socio-demographics (Table
2) and sex work characteristics (Table
3) are summarised in Tables
2 and
3. The most pertinent results that differentiate each category are synthesised below; the largest categories are presented first.
Table 2
Socio-demographic characteristics of FSWs in Nagaland, by typology categories (n = 417)
n (%) | 417 (100) | 67 (16.1) | 31 (7.4) | 16 (3.8) | 20 (4.8) | 132 (31.7) | 64 (15.3) | 36 (8.6) | 51 (12.2) | |
Age (years)†
| | | | | | | | | | 0.001 |
??18-24 | 168 (40.6) | 25 (37.9) | 11 (35.5) | 9 (56.3) | 4 (21.1) | 43 (32.8) | 34 (53.1) | 22 (61.1) | 20 (39.2) | |
??25-34 | 163 (39.4) | 22 (33.3) | 8 (25.8) | 4 (25.0) | 8 (42.1) | 60 (45.8) | 26 (40.6) | 12 (33.3) | 23 (45.1) | |
??35+ | 83 (20.1) | 19 (28.8) | 12 (38.7) | 3 (18.8) | 7 (36.8) | 28 (21.4) | 4 (6.3) | 2 (5.6) | 8 (15.7) | |
??Mean (SD) | 26.9 (6.9) | 28.0 (7.8) | 29.3 (8.3) | 25.3 (6.5) | 29.3 (7.0) | 27.5 (6.7) | 25.2 (5.3) | 23.3 (5.1) | 26.6 (7.0) | 0.001 |
Can read and write | | | | | | | | | | <0.001 |
??No | 247 (59.2) | 40 (59.7) | 23 (74.2) | 5 (31.3) | 16 (80.0) | 109 (82.6) | 13 (20.3) | 12 (33.3) | 29 (56.9) | |
??Yes | 170 (40.8) | 27 (40.3) | 8 (25.8) | 11 (69.8) | 4 (20.0) | 23 (17.4) | 51 (79.7) | 24 (66.7) | 22 (43.1) | |
Mother tongue‡
| | | | | | | | | | <0.001 |
??Naga | 205 (49.3) | 37 (55.2) | 10 (32.3) | 14 (87.5) | 2 (10.0) | 29 (22.0) | 54 (84.4) | 27 (75.0) | 32 (64.0) | |
??Non-Naga | 211 (50.7) | 30 (44.8) | 21 (67.7) | 2 (12.5) | 18 (90.0) | 103 (78.0) | 10 (15.6) | 9 (25.0) | 18 (36.0) | |
Marital Status | | | | | | | | | | <0.001 |
??Unmarried | 102 (24.5) | 18 (26.9) | 4 (12.9) | 9 (56.3) | 3 (15.0) | 5 (3.8) | 31 (48.4) | 15 (41.7) | 17 (33.3) | |
??Married | 157 (37.7) | 14 (20.9) | 13 (41.9) | 2 (12.5) | 6 (30.0) | 76 (57.6) | 21 (32.8) | 12 (33.3) | 13 (25.5) | |
??Divorced or Separated | 87 (20.9) | 20 (29.9) | 9 (29.0) | 3 (18.8) | 4 (20.0) | 28 (21.2) | 8 (12.5) | 5 (13.9) | 10 (19.6) | |
??Widowed | 71 (17.0) | 15 (22.4) | 5 (16.1) | 2 (12.5) | 7 (35.0) | 23 (17.4) | 4 (6.3) | 4 (11.1) | 11 (21.6) | |
Has been beaten in the past six months§
| | | | | | | | | | <0.001 |
??No | 265 (63.9) | 54 (80.6) | 17 (54.8) | 12 (75.0) | 11 (55.0) | 61 (46.6) | 47 (74.6) | 27 (75.0) | 36 (70.6) | |
??Yes | 150 (36.1) | 13 (19.4) | 14 (45.2) | 4 (25.0) | 9 (45.0) | 70 (53.4) | 16 (25.4) | 9 (25.0) | 15 (29.4) | |
Table 3
Sex work characteristics among FSWs in Nagaland, by typology categories (n = 417)
n (%) | 417 (100) | 67 (16.1) | 31 (7.4) | 16 (3.8) | 20 (4.8) | 132 (31.7) | 64 (15.3) | 36 (8.6) | 51 (12.2) | |
Duration of sex work (years)†
| | | | | | | | | | 0.017 |
0-1 | 130 (33.1) | 22 (36.7) | 9 (30.0) | 3 (18.8) | 5 (27.8) | 37 (29.8) | 14 (22.2) | 19 (57.6) | 21 (42.9) | |
2-4 | 163 (41.5) | 24 (40.0) | 14 (46.7) | 9 (56.3) | 9 (50.0) | 43 (34.7) | 33 (52.4) | 12 (36.4) | 19 (38.8) | |
5+ | 100 (25.5) | 14 (23.3) | 7 (23.3) | 4 (25.0) | 4 (22.2) | 44 (35.5) | 16 (25.4) | 2 (6.1) | 9 (18.4) | |
Mean (SD) | 3.5 (3.5) | 3.6 (4.3) | 3.6 (3.3) | 3.3 (2.2) | 3.1 (2.9) | 4.2 (4.1) | 3.7 (3.1) | 1.9 (1.6) | 2.80 (2.6) | 0.049 |
How much their last client paid them for sex‡
| | | | | | | | | | <0.001 |
≤200 INR | 206 (51.8) | 34 (54.8) | 22 (71.0) | 4 (28.6) | 12 (66.7) | 85 (64.4) | 13 (22.4) | 16 (47.1) | 20 (40.8) | |
>200 INR | 192 (48.2) | 28 (45.2) | 9 (29.0) | 10 (71.4) | 6 (33.3) | 47 (35.6) | 45 (77.6) | 18 (52.9) | 29 (59.2) | |
Has occasional clients | | | | | | | | | | <0.001 |
No | 126 (30.2) | 33 (49.3) | 11 (35.5) | 10 (62.5) | 8 (40.0) | 16 (12.1) | 16 (25.0) | 17 (47.2) | 15 (29.4) | |
Yes | 291 (69.8) | 34 (50.8) | 20 (64.5) | 6 (37.5) | 12 (60.0) | 116 (87.9) | 48 (75.0) | 19 (52.8) | 36 (70.6) | |
Has regular clients | | | | | | | | | | -- |
No | 30 (7.2) | 0 (0.0) | 2 (6.5) | 0 (0.0) | 5 (25.0) | 20 (15.2) | 1 (1.6) | 1 (2.8) | 1 (2.0) | |
Yes | 387 (92.8) | 67 (100) | 29 (93.6) | 16 (100) | 15 (75.0) | 112 (84.9) | 63 (98.4) | 35 (97.2) | 35 (97.2) | |
Number of clients they had sex with on last day worked§
| | | | | | | | | | 0.042 |
1 or less | 196 (47.5) | 39 (58.2) | 18 (58.1) | 12 (75.0) | 9 (45.0) | 50 (37.9) | 28 (44.4) | 16 (45.7) | 24 (49.0) | |
2 or more | 217 (52.5) | 28 (41.8) | 13 (41.9) | 4 (25.0) | 11 (55.0) | 82 (62.1) | 35 (55.6) | 19 (54.3) | 25 (51.0) | |
Mean (SD) | 1.9 (1.3) | 1.6 (0.8) | 1.6 (1.0) | 1.4 (0.7) | 2.2 (1.6) | 2.1 (1.2) | 2.3 (1.8) | 2.0 (1.3) | 1.7 (1.4) | 0.013 |
Exposed to the program** | | | | | | | | | | <0.001 |
No | 229 (54.9) | 50 (74.6) | 24 (77.4) | 8 (50.0) | 15 (75.0) | 58 (43.9) | 32 (50.0) | 21 (58.3) | 21 (41.2) | |
Yes | 188 (45.1) | 17 (25.4) | 7 (22.6) | 8 (50.0) | 5 (25.0) | 74 (56.1) | 32 (50.0) | 15 (41.7) | 30 (58.8) | |
Public-to-RRL
The women in the public-to-RRL category were more likely to be illiterate (82.6%); be married (57.6%); have experienced sex before the age of 16 years (60.3%); and have been beaten in the past six months (53.4%). These women had been in sex work longest (35.5% for 5 years or more) and were most likely to have occasional clients (87.9%).
Home-to-home
Women in this category were least likely to have been beaten in the past six months (19.4%), had less exposure to HIV prevention program services (25.4%), and only 50.8% said that they have occasional clients.
Phone-to-RRL
Women in the phone-to-RRL category were the most literate (79.7%). A high proportion reported a Naga language as their mother tongue (84.4%) and being unmarried (48.4%). They earned the most money; 77.7% were paid more than 200 Indian rupees (?US$3.3) by their last client.
RRL-to-RRL
Women in the RRL-to-RRL category were the youngest (mean age of 23.3 years) and had been in sex work for the shortest time (57.6% for less than 1 year; mean 1.9 years).
Public-to-home
The women in the public-to-home category were the equal oldest (mean age of 29.3 years), along with women from the public-to-public category. They were paid the least (71.0% were paid less than 200 Indian rupees by their last client), and were least exposed to the program (22.6% reported receiving at least one of the core NGO-delivered HIV prevention services).
Public-to-public
The women in this category were illiterate (80.0%), had the highest proportion reporting a non-Naga language as their mother tongue (90.0%), and were very likely to be widowed (35.0%). They were poorly paid (66.7% received less than 200 Indian rupees from their last client) and were less exposed to the program (25.0%).
Phone-to-home
This category had the highest proportion of women who reported a Naga language as their mother tongue (87.5%), were the most likely to live alone (75.0%), and be unmarried (56.3%). They were least likely to report having occasional clients (37.5%), had sex with the lowest number of clients (1.4 during the last day worked compared to the total sample average of 1.9) and had the lowest prevalence of STIs (21.4%).
Condom use and prevalence of HIV and STIs
Only 63.4% (n = 243) of participants had used a condom at last sex with a regular client, and 74.8% (n = 214) with an occasional client. Consistent condom use (i.e. generally used every time) was very low with both regular (28.6%, n = 110) and occasional clients (40.1%, n = 115). Over one-third of participants (35.4%, n = 131) tested positive for an STI (i.e. reactive syphilis serology, chlamydia, or gonorrhoea) and 10.3% (n = 43) tested positive for HIV.
Table
4 presents binary logistic regression analyses for HIV status, STI status, and condom use with regular clients; the reference category was FSWs who solicited and entertained at home. FSWs who usually solicited and entertained at a RRL were less likely (OR = 0.4) to use condoms at last sex with a regular client. This group were also more likely to be HIV positive (OR = 13.3), as where those who entertained in a RRL after soliciting by phone (OR = 6.3). FSWs who both solicited and entertained in public were the least likely to consistently use condoms with regular clients (OR = 0.1), and were more likely (OR = 6.7) to test positive for an STI compared to the home-to-home reference category. FSWs who solicited in public and entertained in a RRL were also more likely (OR = 2.5) to test positive for an STI.
Table 4
Binary logistic regression for HIV status, STI status and condom use among FSWs in Nagaland
Age (years)
| -- | 1.04 | 0.98, 1.11 | 0.198 | -- | 0.96 | 0.91, 1.01 | 0.104 | -- | 0.95 | 0.91, 0.99 | 0.032 | -- | 0.94 | 0.89, 0.99 | 0.015 |
Literate
| | | | | | | | | | | | | | | | |
No
| 11.0 | 1.00 | | | 39.7 | 1.00 | | | 64.2 | 1.00 | | | 32.4 | 1.00 | | |
Yes
| 9.4 | 0.37 | 0.15, 0.89 | 0.027 | 28.6 | 0.85 | 0.46, 1.58 | 0.610 | 62.4 | 1.02 | 0.57, 1.84 | 0.941 | 23.5 | 0.92 | 0.48, 1.76 | 0.800 |
Marital Status
| | | | | | | | | | | | | | | | |
Unmarried
| 9.8 | 1.00 | | | 25.3 | 1.00 | | | 64.7 | 1.00 | | | 16.8 | 1.00 | | |
Married
| 8.9 | 1.34 | 0.43, 4.19 | 0.612 | 41.4 | 1.76 | 0.78, 3.97 | 0.175 | 72.3 | 1.18 | 0.56, 2.49 | 0.663 | 39.0 | 2.66 | 1.15, 6.12 | 0.021 |
Divorced or Separated
| 12.6 | 2.18 | 0.64, 7.36 | 0.210 | 37.2 | 1.76 | 0.73, 4.23 | 0.206 | 50.0 | 0.61 | 0.28, 1.36 | 0.233 | 20.0 | 1.16 | 0.45, 2.98 | 0.759 |
Widowed
| 11.4 | 1.86 | 0.45, 7.70 | 0.392 | 32.2 | 1.57 | 0.55, 4.49 | 0.402 | 58.7 | 1.04 | 0.40, 2.68 | 0.941 | 34.9 | 4.93 | 1.71, 14.22 | 0.003 |
Mother Tongue
| | | | | | | | | | | | | | | | |
Naga
| 12.7 | 1.00 | | | 31.4 | 1.00 | | | 61.6 | 1.00 | | | 23.6 | 1.00 | | |
Non-Naga
| 8.1 | 0.56 | 0.22, 1.45 | 0.235 | 38.8 | 0.76 | 0.40, 1.47 | 0.421 | 65.8 | 1.24 | 0.68, 2.27 | 0.490 | 34.1 | 1.87 | 0.98, 3.58 | 0.058 |
Duration in sex work (years) | -- | 0.94 | 0.82, 1.06 | 0.320 | -- | 1.03 | 0.95, 1.11 | 0.439 | -- | 1.09 | 1.00, 1.18 | 0.043 | -- | 1.07 | 0.99, 1.15 | 0.072 |
Number clients, past day of work
| -- | 0.97 | 0.72, 1.28 | 0.808 | -- | 1.01 | 0.84, 1.23 | 0.881 | -- | 1.17 | 0.95, 1.44 | 0.148 | -- | 1.01 | 0.82, 1.25 | 0.899 |
Amount paid by last client
| | | | | | | | | | | | | | | | |
?200 INR
| 7.8 | 1.00 | | | 37.9 | 1.00 | | | 57.0 | 1.00 | | | 24.4 | 1.00 | | |
>200 INR
| 13.6 | 1.48 | 0.65, 3.36 | 0.349 | 32.5 | 1.10 | 0.62, 1.93 | 0.748 | 69.7 | 1.82 | 1.08, 3.08 | 0.025 | 32.3 | 2.46 | 1.36, 4.43 | 0.003 |
Consistent condom use with regular clients
| | | | | | | | | | | | | | | | |
No
| 10.2 | 1.00 | | | 30.6 | 1.00 | | | -- | -- | -- | -- | -- | -- | -- | -- |
Yes
| 12.8 | 1.56 | 0.70, 3.48 | 0.275 | 40.0 | 1.44 | 0.81, 2.57 | 0.213 | -- | -- | -- | -- | -- | -- | -- | -- |
Typology
| | | | | | | | | | | | | | | | |
Home-to-home
| 4.5 | 1.00 | | | 22.6 | 1.00 | | | 55.2 | 1.00 | | | 32.4 | 1.00 | | |
Public-to-home
| 3.2 | 1.22 | 0.10, 14.67 | 0.877 | 29.6 | 2.18 | 0.70, 6.76 | 0.176 | 57.1 | 1.03 | 0.38, 2.76 | 0.953 | 30.0 | 0.44 | 0.13, 1.31 | 0.166 |
Phone-to-home
| 6.3 | 2.86 | 0.22, 37.69 | 0.425 | 21.4 | 1.18 | 0.26, 5.24 | 0.829 | 56.3 | 0.74 | 0.21, 2.62 | 0.646 | 16.7 | 0.70 | 0.15, 2.63 | 0.639 |
Public-to-public
| 20.0 | 7.04 | 0.76, 65.22 | 0.086 | 50.0 | 6.74 | 1.62, 27.98 | 0.009 | 53.3 | 0.57 | 0.15, 2.16 | 0.407 | 8.3 | 0.11 | 0.01, 0.92 | 0.048 |
Public-to-RRL
| 8.4 | 3.73 | 0.73, 19.07 | 0.114 | 47.1 | 2.52 | 1.07, 5.97 | 0.035 | 77.5 | 1.95 | 0.90, 4.22 | 0.092 | 54.0 | 1.25 | 0.60, 2.68 | 0.577 |
Phone-to-RRL
| 9.4 | 6.26 | 1.03, 38.03 | 0.046 | 25.0 | 1.27 | 0.45, 3.59 | 0.653 | 70.5 | 0.86 | 0.36, 2.04 | 0.733 | 35.4 | 0.54 | 0.34, 1.97 | 0.217 |
RRL-to-RRL
| 22.2 | 13.26 | 2.16, 81.49 | 0.005 | 33.3 | 1.30 | 0.41, 4.09 | 0.659 | 40.0 | 0.35 | 0.13, 0.93 | 0.035 | 42.1 | 0.66 | 0.21, 1.82 | 0.453 |
Other
| 17.7 | 9.95 | 1.87, 52.84 | 0.007 | 37.2 | 1.65 | 0.59, 4.62 | 0.334 | 60.0 | 1.18 | 0.49, 2.81 | 0.712 | 28.6 | 0.39 | 0.14, 1.05 | 0.072 |
One other covariate associated with HIV status was literacy; women who could read and write were less likely to be seropositive (OR = 0.4). Every additional year of age was associated with a reduced likelihood of condom use at last sex with regular clients (OR = 0.95) and a reduced likelihood of consistent condom use with regular clients (OR = 0.94). Every additional year since having first started sex work was associated with an increased likelihood of using condoms at last sex with a regular client (OR = 1.09). Those who were married (OR = 2.7) or widowed (OR = 4.9) were more likely to use condoms consistently with regular clients. FSWs who were paid more (i.e. greater than 200 INR) by their last client were more likely to have used condoms as last sex with a regular client (OR = 1.8) and more likely to consistently use condoms with regular clients (OR = 2.5).
Discussion
By combining usual place of solicitation with usual place of sex we generated a typology of female sex work that consists of seven distinct categories. The number of categories highlights the diversity of sex work in this setting where there is no legal sex industry. We examined variations across the categories in relation to a range of factors including HIV and STI prevalence and condom use, and found differences across categories that have relevance to the design and implementation of HIV prevention programs. The results also suggest that a combination of usual place of solicitation and usual place of sex provides more detailed information about HIV risks compared to place of solicitation or place of sex alone.
The IBBA survey of FSWs in Dimapur, Nagaland, revealed a high prevalence of STIs (35.4% at least one of reactive syphilis serology, gonorrhoea, or chlamydia) and HIV (10.3%) and that condom use with both regular and occasional clients was relatively low. The HIV prevalence is comparable to that found among FSWs in the southern states of India (9.3% in 2011); however, the prevalence of STIs in the southern states was substantially lower (reactive syphilis was 4% in 2011) and condom use with both regular and paying partners was above 90% [
19], highlighting the relatively higher vulnerability of FSWs in Dimapur.
Importantly, the prevalence of STIs was highest among women in the public-to-public (50.0%) and public-to-RRL (47.1%) categories, and condom use was lowest in the public-to-public category (8.3%) reflecting the risky context for FSWs soliciting in public. Public places were the most commonly reported place of solicitation, and were linked with characteristics of vulnerability including older age, illiteracy, experiences of violence and being paid less by their clients. Public place solicitation was also associated with having a non-Naga mother tongue, suggesting that some women in this category have migrated to Nagaland; migrant sex workers are typically more vulnerable to HIV/STIs due to inconsistent access to preventative services, a lack of control over their sex work environment, and a diminished ability to negotiate safe sex practices [
20],[
21].
There were important differences between FSWs who usually entertained their clients at a RRL, depending on where they usually solicited their clients. Those who solicited their clients in public places had a high STI prevalence (47.1%), and those both soliciting and entertaining at a RRL had the highest HIV prevalence (22.2%). The high prevalence of HIV among the RRL-to-RRL category is concerning given they were one of the youngest groups and had the shortest average duration in sex work. The explanation for this is unclear and needs further investigation, but the low level of consistent condom use by these young women may be a contributing factor, which could be due to their dependence on managers of lodges and rented rooms who may act as middlemen/women. Such findings indicate that women entertaining at RRL are a diverse group (depending on place of solicitation) and are not the same in terms of their risks or prevention needs.
Interestingly, the phone was identified as the second most common method of solicitation in Dimapur. Elsewhere in India, cell phones are increasingly being used by FSWs for solicitation and are replacing the need for middlemen and reducing the need to solicit in open spaces [
22],[
23]. In Dimapur, those women who usually solicited by phone most often had sex either at home or in a RRL. Women who usually solicited by phone were younger, literate, less likely to have been married, more likely to be Naga, were typically paid more and had lower STI prevalence. Locally, these younger FSWs are known as `hi-fi girls’; they service a higher class of clientele, charge more for their services, and avoid soliciting in public in case they are recognised by family and friends.
As in our study, the other two studies of sex work typology in Southern India found that public places were the most common sites for solicitation, and for place of sex it was rented room, lodge or home [
10],[
12]. When combining place of sex and place of solicitation, the largest category in our study was public-to-RRL followed by home-to-home. In the Jain & Saggurti [
13] study it was similarly street-to-lodge, while Buzdugan et al. [
12] identified home-to-home as the most common category followed by street-to-lodge. Also similar to our findings, Buzdugan et al. [
12] identified the highest STI prevalence among street-to-lodge FSWs (27.0%), and the highest HIV prevalence among the brothel-to-brothel FSWs (34.0%); arguably our RRL-to-RRL category has many features in common with the brothel-to-brothel category.
Explanations for the observed relationships between categories of sex work and HIV and STI prevalence and risks are likely to be complex and reflect the interdependent connections between sex workers and the environments they work in. For example, FSWs who are illiterate, widows and non-Naga speaking report earning less money, and are more commonly soliciting in public places. Soliciting in public places means they are more likely to be victims of violence and harassment by police and local gangsters, and arguably have less control over their environment compared to those who are working from their own home. These factors influence their capacity to manage risk, including the consistent use of condoms. So the most vulnerable women end up engaging in sex work in the more unsafe environments, which in turn compounds their vulnerability. Gieryn (2000) notes that `public places provide the circumstances for the most degrading forms of informal social control; on-the-street harassment of women... is surely one way to keep disadvantage groups in their place’ [14, p.480].
It is not clear why there is such a difference in condom use and HIV prevalence among FSWs who have sex in a rented room or lodge depending on where they solicit their clients. Those women who both solicit and have sex in a rented room or lodge are much more likely to have HIV and less likely to have used a condom with last regular client than those who solicited in a public place or by phone (but had sex in a rented room or lodge). Qualitative field-based studies that seek to better understand these differences would yield a more nuanced understanding of HIV vulnerability among FSWs in Dimapur, and the findings are likely to have implications for the effective delivery of HIV prevention programs.
There are several limitations associated with this study that should be considered when interpreting the findings. The sex work categories identified are a direct function of the sex work patterns of the women who were recruited into the study, and the extent to which they represents sex work in Dimapur more broadly is difficult to determine. However, we did conduct a dissemination meeting with local NGOs who provide harm reduction services for FSWs in Dimapur, and the identified sex work categories and related risk profiles resonated with them. Women were asked about their usual place of solicitation and their usual place of sex; however, this information alone does not capture the fluidity of sex work patterns. As highlighted by Jain & Saggurti [
13], many sex workers solicit and have sex in a range of places, and usual places of solicitation and sex can change over time. Several categories are comprised of only a few women, resulting in wide confidence intervals for some odds ratios and thereby limiting our conclusions. Even though our analyses are essentially based on a convenience sample with restricted generalisability of the observed associations, our sample did include a sizeable proportion of the 1 500 to 3 500 FSWs working in Dimapur. Further, this data is the most recent and comprehensive dataset collected from this sub-population.
Conclusions
To better explore variation in risks for different FSW groups we generated a typology of female sex work by combining usual place of solicitation with usual place of sex.
The process yielded seven distinct categories of sex work, reflecting the diversity of sex work in this setting, and the largest group were comprised of FSWs soliciting in public and entertaining in a RRL. There was considerable variation in HIV and STI prevalence and other characteristics across the categories of the typology. FSWs from the public-to-public, public-to-RRL, phone-RRL and RRL-to-RRL categories were the most vulnerable to HIV and STI infections and would benefit from programs that specifically target their profile. Compared to place of solicitation and place of sex alone, combining place of solicitation and place of sex more effectively highlighted the most vulnerable women. Local contextual understanding of the different types of sex work and the associated levels of risk are necessary for NGOs to target their interventions more effectively and efficiently in order to reduce STI and HIV prevalence among FSWs and their clients.
Competing interests
The authors declare that they have no competing interests.