Mathuros Tipayamongkholgul
Mahidol University
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Featured researches published by Mathuros Tipayamongkholgul.
PLOS ONE | 2014
Mart L. Stein; Jim E. van Steenbergen; Charnchudhi Chanyasanha; Mathuros Tipayamongkholgul; Vincent Buskens; Peter G. M. van der Heijden; Wasamon Sabaiwan; Linus Bengtsson; Xin Lu; Anna Thorson; Mirjam Kretzschmar
Background Information on social interactions is needed to understand the spread of airborne infections through a population. Previous studies mostly collected egocentric information of independent respondents with self-reported information about contacts. Respondent-driven sampling (RDS) is a sampling technique allowing respondents to recruit contacts from their social network. We explored the feasibility of webRDS for studying contact patterns relevant for the spread of respiratory pathogens. Materials and Methods We developed a webRDS system for facilitating and tracking recruitment by Facebook and email. One-day diary surveys were conducted by applying webRDS among a convenience sample of Thai students. Students were asked to record numbers of contacts at different settings and self-reported influenza-like-illness symptoms, and to recruit four contacts whom they had met in the previous week. Contacts were asked to do the same to create a network tree of socially connected individuals. Correlations between linked individuals were analysed to investigate assortativity within networks. Results We reached up to 6 waves of contacts of initial respondents, using only non-material incentives. Forty-four (23.0%) of the initially approached students recruited one or more contacts. In total 257 persons participated, of which 168 (65.4%) were recruited by others. Facebook was the most popular recruitment option (45.1%). Strong assortative mixing was seen by age, gender and education, indicating a tendency of respondents to connect to contacts with similar characteristics. Random mixing was seen by reported number of daily contacts. Conclusions Despite methodological challenges (e.g. clustering among respondents and their contacts), applying RDS provides new insights in mixing patterns relevant for close-contact infections in real-world networks. Such information increases our knowledge of the transmission of respiratory infections within populations and can be used to improve existing modelling approaches. It is worthwhile to further develop and explore webRDS for the detection of clusters of respiratory symptoms in social networks.
PLOS ONE | 2014
Mart L. Stein; Jim E. van Steenbergen; Vincent Buskens; Peter G. M. van der Heijden; Charnchudhi Chanyasanha; Mathuros Tipayamongkholgul; Anna Thorson; Linus Bengtsson; Xin Lu; Mirjam Kretzschmar
Understanding infection dynamics of respiratory diseases requires the identification and quantification of behavioural, social and environmental factors that permit the transmission of these infections between humans. Little empirical information is available about contact patterns within real-world social networks, let alone on differences in these contact networks between populations that differ considerably on a socio-cultural level. Here we compared contact network data that were collected in the Netherlands and Thailand using a similar online respondent-driven method. By asking participants to recruit contact persons we studied network links relevant for the transmission of respiratory infections. We studied correlations between recruiter and recruited contacts to investigate mixing patterns in the observed social network components. In both countries, mixing patterns were assortative by demographic variables and random by total numbers of contacts. However, in Thailand participants reported overall more contacts which resulted in higher effective contact rates. Our findings provide new insights on numbers of contacts and mixing patterns in two different populations. These data could be used to improve parameterisation of mathematical models used to design control strategies. Although the spread of infections through populations depends on more factors, found similarities suggest that spread may be similar in the Netherlands and Thailand.
Tobacco Induced Diseases | 2013
Naowarut Charoenca; Nipapun Kungskulniti; Mathuros Tipayamongkholgul; Dusit Sujirarat; Sorasak Lohchindarat; Jeremiah Mock; Stephen Hamann
BackgroundThe impact of secondhand smoke (SHS) on Southeast Asian children’s health has been assessed by a limited number of studies. The purpose of this study was to determine whether in Thailand, pre- and postnatal exposure to SHS is associated with acute lower respiratory conditions in young children.MethodsWe conducted a case control study of 462 children under age five admitted with acute lower respiratory illnesses, including asthma and pneumonia, at a major hospital in Bangkok. We selected 462 comparison controls from the well-child clinic at the hospital and matched them by sex and age. We used a structured questionnaire to collect information about exposure to SHS and other factors. We conducted bivariate and multivariate analyses to identify risk factors for acute lower respiratory conditions.ResultsThe number of cigarettes smoked at home per day by household members was significantly greater among cases. A greater number of household caregivers of cases held and carried children while smoking as compared to controls (26% versus 7%, p <0.05). Cases were more likely to have been exposed to SHS in the household (adjusted OR = 3.82, 95% CI = 2.47-5.9), and outside (adjusted OR = 2.99, 95% CI = 1.45-6.15). Parental lower educational level and low household income were also associated with respiratory illnesses in Thai children under five.ConclusionsThai children who are exposed to SHS are at nearly 4 times greater risk of developing acute lower respiratory conditions. Continued effort is needed in Thailand to eliminate children’s exposure to SHS, especially at home.
International Journal of Environmental Research and Public Health | 2018
Pajaree Konthonbut; Pornpimol Kongtip; Noppanun Nankongnab; Mathuros Tipayamongkholgul; Witaya Yoosook; Susan R. Woskie
This study aimed to assess paraquat concentrations in the urine of women at 28 weeks of pregnancy, delivery and 2 months postpartum and in the meconium of neonates. In all, 79 pregnant women were recruited from three hospitals located in agricultural areas in Thailand. The subjects were interviewed about personal characteristics, agricultural activities and pesticide use patterns. Paraquat was analyzed in urine and meconium using high performance liquid chromatography equipped with a fluorescence detector. The geometric mean (GSD) of urinary paraquat concentrations at 28 weeks of pregnancy, delivery and 2 months postpartum were 2.04 (4.22), 2.06 (5.04) and 2.42 (5.33) ng/mL, respectively. The urinary paraquat concentrations at 28 weeks of pregnancy, delivery and 2 months postpartum between agriculturist and non-agriculturist were not significantly different (p = 0.632, p = 0.915, p = 0.57, respectively). The geometric mean (GSD) of paraquat concentration in the meconium was 33.31 (4.59) ng/g. The factors predicting paraquat exposures among pregnant women and neonates included working outside, living near farmland, having family members who work on a farm, drinking well water and using herbicides or paraquat.
Annals of Work Exposures and Health | 2018
Pornpimol Kongtip; Noppanun Nankongnab; Redeerat Mahaboonpeeti; Sasivimol Bootsikeaw; Kiattisak Batsungnoen; Chalalai Hanchenlaksh; Mathuros Tipayamongkholgul; Susan R. Woskie
More than 11 million Thai people (38%) work in agriculture, but since most are in the informal sector, government enforcement and support are very limited. As a result, working conditions on Thai farms vary greatly, putting the health of many agricultural workers at risk. A cross-sectional study in three Thai provinces collected information on the work activities and conditions of 424 farmers representing five farm types: rice, vegetable, flower, rice/vegetable, and flower/vegetable. The agricultural workers were mainly women (60%); their average age was 53 but ranged from 18 to 87 years. More than 64% worked more than 5 days/week. Seventy-four percent of them had only primary school education. A number of the health and hazardous working conditions surveyed were significantly different by farm type. Rice farmers were found to have the highest prevalence of allergies, nasal congestion, wheezing, and acute symptoms after pesticide use, while flower farmers had the lowest prevalence of these health outcomes. Rice farmers reported the highest prevalence of hazardous working conditions including high noise levels, working on slippery surfaces, sitting or standing on a vibrating machine, spills of chemicals/pesticides, and sharp injuries. The lowest prevalence of these working conditions (except noise) was reported by flower farmers. Vegetable farmers reported the highest prevalence knee problems, while rice farmers had the lowest prevalence. Among these farmers, more than 27 different types of pesticides were reported in use during the past year, with the majority reporting use once a month. The flower/vegetable farming group reported the highest frequency of good exposure prevention practices during pesticide use. They were the most likely to report using cotton or rubber gloves or a disposable paper masks during insecticide spraying. Those farmers who only grew vegetables had the lowest frequency of good exposure prevention practices, including use of personal protective equipment. The economic cost of work-related injuries and illnesses among informal sector agricultural workers in Thailand is unknown and in need of study. Gaps in the regulations covering pesticide sales allow farmers to purchase pesticides without adequate training in their safe use. Training targeted to farm type regarding safe pesticide use and the prevention of accidents and musculoskeletal disorders is needed. Studies of chronic health effects among Thai farmers are needed, with special emphasis on respiratory, metabolic disease and cancer.
Occupational and Environmental Medicine | 2016
Pornpimol Kongtip; Benyachalee Techasaensiri; Noppanun Nankongnab; Jane Adams; Akkarat Phamonphon; Anu Surach; Supha Sangprasert; Aree Thongsuksai; Prayoon Srikumpol; Mathuros Tipayamongkholgul; Susan R. Woskie
A longitudinal birth cohort was begun to investigate the levels and sources of pesticide exposure during pregnancy and to examine the effects of pesticide exposure on infant neurodevelopment at 5 months of age. Subjects were interviewed using questionnaires regarding their demographic characteristics, educational background, family composition, work and pesticide exposure. Also, spot urine samples were collected at 28 weeks gestation to determine maternal dimethyl phosphate (DMP), diethyl phosphate (DEP), diethyl thiophosphate (DETP), diethyl dithiophosphate (DEDTP), and total dialkyl phosphate (DAP) levels by gas chromatography-mass spectrometry. At 5 months of age, infant development was evaluated using the Bayley Scale of Infant and Toddler Development – III. Measurable levels of metabolites of organophosphate pesticides were found in urine samples from Thai women at 28 weeks of pregnancy. The primary factors that had significant influences on maternal urinary DAP concentrations were outdoor employment, farm worker jobs involving digging in the soil and applying pesticides. Prenatal organophosphate pesticide exposure, specifically maternal urinary DEDTP concentration, was significantly associated with infant cognitive, fine motor, fine and gross motor Bayley test scores (p < 0.05).
New Solutions: A Journal of Environmental and Occupational Health Policy | 2016
Mathuros Tipayamongkholgul; Pipat Luksamijarulkul; Barbara Mawn; Pornpimol Kongtip; Susan R. Woskie
Healthcare personnel work in vulnerable conditions that can adversely impact physical and/or mental health. This paper aims to synthesize the state of knowledge on work-related illnesses, injuries, and risks experienced by Thai healthcare workers. We found that Thai healthcare personnel, like others worldwide, are at risk for injury related to needle sticks and sharp instruments; infectious diseases due to biological hazards exposure such as airborne pathogens and patient secretions; muscle pain due to workload and long duration of work; and psychological disorders related to stressful working conditions. Because detailed surveillance data are limited for the Thai healthcare workforce, we recommend that additional surveillance data on Thai healthcare workers’ health outcomes be collected. Future research efforts should also focus on evidence-based interventions in order to develop methods to prevent and treat occupational health injuries and illnesses acquired in the workplace for Thai healthcare sector workers.
Southeast Asian Journal of Tropical Medicine and Public Health | 2005
Mathuros Tipayamongkholgul; Amornrath Podhipak; Sanay Chearskul; Pramuan Sunakorn
Geospatial Health | 2011
Mathuros Tipayamongkholgul; Sunisa Lisakulruk
Journal of Nutrition Education and Behavior | 2016
Pattraporn Somsri; Warapone Satheannoppakao; Mathuros Tipayamongkholgul; Paranee Vatanasomboon; Rachada Kasemsup