Demographic impact of the HIV epidemic in Thailand

Surasiengsunk, Suwanee; Kiranandana, Suchada; Wongboonsin, Kua; Gp, Garnett; Anderson, Roy M.; Griensven, Frits van

doi:10.1097/00002030-199807000-00014

Cited by 44 publications

(31 citation statements)

References 24 publications

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“…This could be due to difference in the levels of intensity of the HIV epidemic, stigmatization, and availability of qualified personnel for DR recording and their attitude toward HIV-related death across the regions. HIV mortality peaked in the upper north, especially in Phayao, because in the past two decades the HIV epidemic has been most severe in the upper north [32,34,[39][40][41][42]. Onethird of HIV deaths were predicted in the northern region since 1987-2014 [39].…”

Section: Discussionmentioning

confidence: 99%

Correcting and estimating HIV mortality in Thailand based on 2005 verbal autopsy data focusing on demographic factors, 1996-2009

Chutinantakul

Tongkumchum

Bundhamcharoen

et al. 2014

Popul Health Metrics

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Background: It is known that death registry (DR) underestimates HIV deaths. The objectives of this study were to examine under-reporting/misclassification and to estimate HIV mortality in Thailand during 1996-2009 from a model based on 2005 verbal autopsy (VA) data. Methods: Logistic regression was used to predict HIV deaths from the VA dataset with and without demographic covariates. This full model was then used to predict individual HIV deaths from the DR dataset of provinces in which VA was conducted. The proportions in the remaining provinces were predicted from spatial interpolation based on coefficients of the VA provinces.

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Section: Discussionmentioning

confidence: 99%

Correcting and estimating HIV mortality in Thailand based on 2005 verbal autopsy data focusing on demographic factors, 1996-2009

Chutinantakul

Tongkumchum

Bundhamcharoen

et al. 2014

Popul Health Metrics

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“…10 However, our findings are similar to those found elsewhere, regarding the frequency and distribution of AIDS mortality. 3,10,[19][20][21] The fact that antiretroviral treatment is an important marker for the impact of HIV infection should be considered in the development of new strategies for the prevention and control of the AIDS epidemic in Mexico. Contrary to developed countries, we have not observed a decline in AIDS mortality in the study period.…”

Section: Discussionmentioning

confidence: 99%

AIDS mortality trends in Mexico, 1988-1997

Hernández–Girón¹,

Tovar-Guzmán²,

Rı́o³

2002

Salud pública Méx

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El texto completo en inglés de este artículo también está disponible en: http://www.insp.mx/salud/index.html Resumen Objetivo. Determinar la distribución geográfica y la tendencia de mortalidad por SIDA durante el periodo 1988 a 1997, en México. Material y métodos. Se estimaron tasas de mortalidad por SIDA, cruda y ajustadas, para el periodo 1988-1997. Se realizó una prueba de tendencia utilizando regresión lineal simple. La razón de mortalidad estandarizada (RME) y los años de vida potencialmente perdidos (AVPP), fueron calculados para cada estado de la República. Resultados. Durante el periodo de estudio se reportaron 26 999 muertes por SIDA en México, 86.5% (23 354), fueron hombres. La media de edad al momento de la muerte por esta causa, fue 38.4 años para los hombres y 37.7 años para las mujeres (p> 0.05). La tasa cruda de mortalidad por SIDA para el periodo de estudio fue de 3.02 casos (IC 95% 2.94-3.06) por 100 000 habitantes. La tasa ajustada de mortalidad por SIDA para el periodo de estudio fue de 3.13 casos (IC 95% 3.09-3.17) por 100 000 habitantes. La tasa ajustada de mortalidad para hombres fue de 5.22 casos (IC 95% 5.16-5.29) por 100 000 habitantes; y para mujeres fue de 0.82 casos (IC 95% 0.79-0.84). Los estados con mayor RME fueron Baja California (RME: 248.

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“…Some part of the gap might be because of the internal migration (Guest et al, 1994) as discussed above and some part might be because of the HIV epidemic (Weniger et al, 1991). Most provinces in the Northern Region, adjacent to Myanmar and Laos have this pattern were affected by this epidemic (Surasiengsunk et al, 1998). AIDS was the first leading cause of death among males and the second leading cause of death among females; this accounted the 16.5% and 6.3 % respectively of total deaths in 1999.…”

Section: Patterns Of Distributionmentioning

confidence: 98%

“…Similarly, the HIV epidemic in Thailand is yet another important event that affects the population distribution. It was estimated that the number of deaths from AIDS before the year 2000 was 550 000 (Surasiengsunk et al, 1998). AIDS was the leading cause of male deaths and the second leading cause of female deaths amounting to 16.5% and 6.3 % respectively, of total deaths in 1999 (Porapakkham et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Population Distribution Pattern of 76 Provinces in Thailand: Application of Factor Analysis

Paudel¹,

Lim²,

Dureh³

2015

ASS

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Thailand is in the demographic transition phase. The shape of population pyramid is shifting from stationary to contracting pattern. Age-sex distribution may vary by province. This study explores and describes the population distribution pattern of 76 provinces in Thailand using data from 2000 Thai population census. Factor analysis, a multivariate statistical method, was used to cluster provinces, based on pattern of age-sex distribution of the population. The study found three distinct patterns of population distribution in Thailand. Twenty-seven southern and northeastern region provinces, mainly bordering Myanmar, Cambodia or Malaysia, share the classical pattern of population distribution. The majority of central region provinces, and also Phuket from the south share a similar population distribution pattern which peaks at the young age group. So too, most of the northern region provinces share another pattern that dips at the young age group. In conclusion, this study found that population distribution is not symmetrical across Thailand. The factor model approximated well this variation and clustered the provinces in three patterns. The method applied in this study is straightforward and can be used in future demographic studies.

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Demographic impact of the HIV epidemic in Thailand

Cited by 44 publications

References 24 publications

Correcting and estimating HIV mortality in Thailand based on 2005 verbal autopsy data focusing on demographic factors, 1996-2009

Correcting and estimating HIV mortality in Thailand based on 2005 verbal autopsy data focusing on demographic factors, 1996-2009

AIDS mortality trends in Mexico, 1988-1997

Population Distribution Pattern of 76 Provinces in Thailand: Application of Factor Analysis

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