Fidel Posted April 29, 2004 Report Share Posted April 29, 2004 [color:"green"] Thought some would find this interesting [/color] Click here for the original source. Current Version: June 2003 Seroprevalence of HIV for Prostitutes, Thailand: 2002 Percent Province Seropositive Amnat Charoen 2.04 Ang Thong 9.63 Bangkok 2.60 Burirum 6.19 Chachoengsao 12.44 Chainat 5.97 Chaiyaphum 0.00 Chanthaburi 12.07 Chiang Mai 8.71 Chiang Rai 3.15 Chonburi (Pattaya) 11.17 Chumphon 12.26 Kalasin 3.53 Kamphaeng Phet 2.38 Kanchanaburi 6.64 Khon Kaen 6.74 Krabi 7.83 Lampang 16.95 Lamphun 19.70 Loburi 15.00 Loei 8.11 Mae Hong Son 37.50 Maha Sarakham 8.89 Mukdahan 6.38 Nakhon Nayok 13.89 Nakhon Pathom 6.22 Nakhon Phanom 3.10 Nakhon Ratchasima 4.58 Nakhon Sawan 3.32 Nakhon Si Thammarat 7.08 Nan 25.00 Narathiwat 5.50 Nong Khai 4.23 Nongbua Lamphu 0.00 Nonthaburi 2.26 Pathumthani 8.02 Pattani 14.50 Phang Nga 8.24 Phattalung 9.94 Phayao 12.00 Phetchabun 2.99 Phetchaburi 8.42 Phichit 11.63 Phitsanulok 7.08 Phra Nakhon Si Ayutthaya 13.52 Phrae 81.82 Phuket 9.25 Prachinburi 0.00 Prachuap Khiri Khan 4.96 Ranong 5.26 Ratchaburi 12.20 Rayong 11.20 Roi Et 3.92 Sakaei 6.67 Sakhon Nakhon 3.14 Samut Prakan 14.53 Samut Sakhon 15.72 Samut Songkhram 12.50 Saraburi 8.67 Satun 3.75 Singburi 10.94 Sisaket 1.33 Songkhla 11.24 Sukhothai 17.86 Suphanburi 15.81 Surat Thani 5.29 Surin 3.76 Tak 6.85 Trang 3.14 Trat 11.44 Ubon Ratchathani 7.53 Udon Thani 5.61 Uthai Thani 4.00 Uttaradit 17.46 Yala 6.70 Yasothon 2.34 Source: HIV/AIDS Surveillance Data Base, June 2003. Link to comment Share on other sites More sharing options...
MaiLuk Posted April 29, 2004 Report Share Posted April 29, 2004 Thanks for that, answers a question i've wondered about for a long time. Wonder how they conducted the test and how many they sampled from each district. That would help to assess the accuracy. Link to comment Share on other sites More sharing options...
Guest Posted April 29, 2004 Report Share Posted April 29, 2004 I wondered the same and deduced these tests were probably extensive in size, though randomness is another question. For instance, to get 14.53%, there must have been AT LEAST 117 persons in the study at Samut Prakan alone as 17 out of 117 is the first combination of numbers yielding that result. Link to comment Share on other sites More sharing options...
jxxxl Posted April 29, 2004 Report Share Posted April 29, 2004 I don't know how these cities layout across Thailand, but is there a geographic concentration e.g., north having a higher rate, or rural vs. more developed? Link to comment Share on other sites More sharing options...
Fidel Posted April 29, 2004 Author Report Share Posted April 29, 2004 Is there a geographic concentration e.g., north having a higher rate, or rural vs. more developed? Take a look at the maps and stats below: Stats Thailand Map Thailand Stats Cambodia Map Cambodia Stats Vietnam Map Vietnam You can see that there is a definite geographic pattern in Thailand. The Cambodia map is frightening. Link to comment Share on other sites More sharing options...
Nervous_Dog Posted April 29, 2004 Report Share Posted April 29, 2004 Interesting, most of the provences have a hgiher rate than Bangkok. JB Link to comment Share on other sites More sharing options...
Guest Posted April 29, 2004 Report Share Posted April 29, 2004 At least a couple of reasons might be responsible for this: 1. BKK has a larger "educated" population. 2. "Thai man no like condom" (according to one bg I know); customers of sex workers in the provinces are probably 95%+ relatively-uneducated Thai guys. Link to comment Share on other sites More sharing options...
lembeh Posted April 29, 2004 Report Share Posted April 29, 2004 Hmmm. Interesting, but probably quite misleading data. Firstly the data is gathered by analysing figures (quote): It is a compilation of information from those studies appearing in the medical and scientific literature, presented at international conferences, and appearing in the press (end quote) so it kinda depends upon how accurate *those* studies are. There is no definition (anywhere) that I can find of what a "prostitute" for purposes of the study *is*. So what populations are being looked at??? Are those figures supposed to represent rate of *all* prostitutes (free lancer, brothel workers, go go/bar/massage girls). Or are "prostitutes" defined in some other way - or even more worryingly, by different ways in each of the studies that go to make up the database???? So, for example, if the Mae Hong Son study defined a prostitute as a "brothel worker", they may well end up with a higher figure than say a bangkok study that looked at a cross section of *all* girls in the "pay for play" field. Without knowing *how* the figures are gathered *how* the terms are defined and *how* the data is analysed, the figures are merely of idle curiosity, and certainly of no deep scientific merit. -j- Link to comment Share on other sites More sharing options...
Nervous_Dog Posted April 29, 2004 Report Share Posted April 29, 2004 Could be, also maybe the girl gets it in Bangkok, starts to look bad and goes home to die, but keeps working, Too many possibilities, but a interesting fact. JB Link to comment Share on other sites More sharing options...
Guest Posted May 2, 2004 Report Share Posted May 2, 2004 Scary figures. Link to comment Share on other sites More sharing options...
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