A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Loahasiriwong, Wongsa
- TB Treatment and Multidrug-Resistant of Tuberculosis (MDR-TB) in Central Java of Indonesia: A Case-Control Study
Authors
1 Khon Kaen University, 123 Moo 16 Mittapap Rd Nai-Muang, Muang District, TH
2 Khon Kaen, Thailand, 123 Moo 16 Mittapap Rd Nai-Muang, Muang District, TH
3 Department of Public Health, Post-graduate Program, Universitas Sebelas Maret, ID
4 Jalan Ir. Sutami 36 Kentingan, Jebres Kota Surakarta Jawa Tengah Indonesia, ID
Source
Indian Journal of Public Health Research & Development, Vol 10, No 11 (2019), Pagination: 1965-1970Abstract
Background: The burden of tuberculosis (TB) is exacerbated by anti-TB drug resistant especially multidrugresistant TB (MDR-TB). There has been an increasing trend of Multidrug-resistant TB in Indonesia. However, there is lack of epidemiological study on risk factors of MDR-TB in Indonesia.
Objective: This study aimed to determine the influence of TB treatments as risk factors on MDR-TB in Central Java Indonesia while controlling other covariates.
Method: A case-control study was conducted between August 2017 and February 2018. The study subjects were selected using inclusion criteria. Cases were 81 MDR-TB patients in intensive phase that lived in Central Java and recorded in the Moewardi Hospital, a referral hospital. The controls were 228 patients who received first-line anti-TB treatment without drug resistance. A structured questionnaire interview was used to collect the data. Multiple logistic regression analysis was used to identify the association.
Results: The proportion of gender among the 81 cases and 228 controls were 64.2% vs. 43.0% for males, and 35.8% vs. 57.0% for females. TB treatment that were significantly associated with MDR-TB were: length of TB treatment > 6 months (aOR =14.1; 95% CI: 6.68-29.86), continued TB treatment (aOR =11.695% 95%CI: 5.36-25.48). Other significant covariates were had no formal education or primary education (aOR = 2.89; 95% CI: 1.38-6.02) and low monthly income (aOR =2.86; 95%CI: 1.18-6.92)
Conclusions: Long duration, discontinuity of TB treatment, and low socioeconomic status increase the risk of MDR-TB.
Keywords
Multidrug Resistant Tuberculosis, MDR-TB, Risk Factors, Central Java, Indonesia.- Spatial Association Patterns of Geographic Factors and Opisthorchis Viverrini Infection in the Northeast of Thailand
Authors
1 KhonKaen University, Khon Kaen, TH
Source
Indian Journal of Public Health Research & Development, Vol 10, No 11 (2019), Pagination: 2041-2045Abstract
Background: Thailand is the world highest prevalence’s of Opisthorchis Viverrini (OV) infection. This study aimed to determine the spatial association of geographic factors with OV infection in the highest prevalence region, the Northeast (NE) of Thailand.
Method: This study was conducted using four geographic factors data sets of years 2016 and 2017. A Moran’s I and Local Indicators of Spatial Association (LISA) were used to identify the spatial autocorrelation between geographic factors and OV infection within the region.
Results: Among the total of 189,231 participants in the NE, the regional prevalence of OV infection was 10.60%. The results indicated a spatial global autocorrelation of geographical factors with OV infections, those geographical factors included water sources including dams, reservoirs, weirs, canals and lagoons; proportion of rice field areas and number of dogs and cats per village, (Moran’s I values of 0.28, 0.34, 0.11, 0.40 and 0.17, respectively). The LISA analysis identified significant positive spatial local autocorrelation of water resource: one of high-high cluster for the numbers of dams and reservoirs, three low-low clusters for the number of weirs and two of high-high clusters for the numbers of canals and lagoons. In addition, there were two high-high clusters and three low-low clusters of the proportion of rice field areas, and one low-low cluster of dogs and cats with OV infection.
Conclusion: There were spatial associations between physical geographic factors and OV infection in the NE of Thailand which should be taken into new policy recommendations for OV infection control. Especially, in the province with more rice fields, big water resources and had more dogs and cats.