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Seroprevalence of HIV for Prostitutes, Thailand:

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#1 Fidel


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Posted 29 April 2004 - 00:36

Thought some would find this interesting
Click  here for the original source.

Current Version: June 2003 Seroprevalence of HIV for Prostitutes, Thailand:  2002  
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.

#2 MaiLuk


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Posted 29 April 2004 - 03:43

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.

#3 Escape Rabbit

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Posted 29 April 2004 - 04:22

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.

#4 jxxxl


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Posted 29 April 2004 - 05:13

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?

#5 Fidel


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Posted 29 April 2004 - 13:19


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.

#6 Nervous_Dog



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Posted 29 April 2004 - 13:58

Interesting, most of the provences have a hgiher rate than Bangkok.

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#7 Chongnoi



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Posted 29 April 2004 - 17:39

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.

#8 lembeh



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Posted 29 April 2004 - 18:51

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.

#9 Nervous_Dog



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Posted 29 April 2004 - 18:51

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.

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#10 MightyMouse



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Posted 02 May 2004 - 15:10

Scary figures.
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