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Publication Metadata only Malaria education from school to community in Oudomxay province, Lao PDR(2008-03-01) Daisuke Nonaka; Jun Kobayashi; Masamine Jimba; Bounsou Vilaysouk; Katsuyuki Tsukamoto; Shigeyuki Kano; Bounlay Phommasack; Pratap Singhasivanon; Jitra Waikagul; Seiki Tateno; Tsutomu Takeuchi; University of Tokyo; National Center for Global Health and Medicine; Mahidol University; Oudomxay Provincial Health Office; Ministry of Health; Keio Universityin developing countries. To evaluate the influence of school-based malaria education on the knowledge, attitudes, and practices of people in the community toward malaria, we conducted a school-based intervention in Oudomxay province, Lao PDR, and compared scores..., conducted only at one village. Before and after the intervention, we conducted a questionnaire-based survey of community women that pertained to malaria. Our main finding was that, in married women without children in the target grades, particularly thosePublication Metadata only Gender difference in treatment seeking behaviors of tuberculosis cases in rural communities of Bangladesh(2004-03-01) Giasuddin Ahsan; Jalaluddin Ahmed; Pratap Singhasivanon; Jaranit Kaewkungwal; Kamolnetr Okanurak; Nawarat Suwannapong; Pasakorn Akarasewi; Mohammad A. Majid; Vikarunessa Begum; Kazi Belayetali; DGHS; National TB Control Programme; Mahidol University; Thailand Ministry of Public Health; Prime Minister's Office; NTPon the study findings, we recommend developing an appropriate gender strategy for developing a TB control program, comprised of operational, socio-cultural and community awareness interventions aimed at treating undiscovered reservoirs of female TB cases...This descriptive cross-sectional study was conducted to investigate gender differences in the epidemiological factors associated with the treatment seeking behaviors of TB cases in the rural communities of Bangladesh. The study revealsPublication Open Access The impact of human reservoir of malaria at a community-level on individual malaria occurrence in a low malaria transmission setting along the Thai-Myanmar border(2010-05) Saranath Lawpoolsri; สารนาถ ล้อพูลศรี; Chavez, Irwin F.; Surapon Yimsamran; สุรพล ยิ้มสำราญ; Supalap Puangsa-art; สุภลาภ พวงสอาด; Nipon Thanyavanich; นิพนธ์ ธัญญวานิช; Wanchai Maneeboonyang; Wuthichai Chaimungkun; Pratap Singhasivanon; ประตาป สิงหศิวานนท์; Maguire, James H.; Hungerford, Laura L.; Saranath Lawpoolsri; Mahidol University. Faculty of Tropical Medicine. Department of Tropical Hygieneof the relationship between "individual" and "supra-individual" variables over time is important for understanding the local malaria epidemiology. This is essential for planning effective intervention strategies specifically for each location. METHODS: A retrospective... cohort study was conducted, which followed a community-cohort of about 3,500 residents in seven hamlets along the Thai-Myanmar border between 1999 and 2006. Potential malaria determinants measured at different levels (temporal variables, individualPublication Open Access Application of smart phone in "Better Border Healthcare Program": a module for mother and child care(2010-11) Jaranit Kaewkungwal; จรณิต แก้วกังวาล; Pratap Singhasivanon; ประตาป สิงหศิวานนท์; Amnat Khamsiriwatchara; อำนาจ คำศิริวัชรา; Surasak Sawang; Pongthep Meankaew; พงษ์เทพ เมียนแก้ว; Apisit Wechsart; Jaranit Kaewkungwal; Mahidol University. Faculty of Tropical Mediicine. Department of Tropical Hygienecombining web-based and mobile technology was developed to generate ANC/EPI visit schedule dates in which the healthcare personnel can cross-check, identify and update the mother's ANC and child's EPI status at the healthcare facility or at the household... location when performing home visit; with additional feature of sending appointment reminder directly to the scheduled mother in the community. RESULTS: The module improved ANC/EPI coverage in the study area along the country border including for bothPublication Metadata only The impact of targeted malaria elimination with mass drug administrations on falciparum malaria in southeast Asia: A cluster randomised trial(2019-02-01) Lorenz von Seidlein; Thomas J. Peto; Jordi Landier; Thuy Nhien Nguyen; Rupam Tripura; Koukeo Phommasone; Tiengkham Pongvongsa; Khin Maung Lwin; Lilly Keereecharoen; Ladda Kajeechiwa; May Myo Thwin; Daniel M. Parker; Jacher Wiladphaingern; Suphak Nosten; Stephane Proux; Vincent Corbel; Nguyen Tuong-Vy; Truong Le Phuc-Nhi; Do Hung Son; Pham Nguyen Huong-Thu; Nguyen Thi Kim Tuyen; Nguyen Thanh Tien; Le Thanh Dong; Dao Van Hue; Huynh Hong Quang; Chea Nguon; Chan Davoeung; Huy Rekol; Bipin Adhikari; Gisela Henriques; Panom Phongmany; Preyanan Suangkanarat; Atthanee Jeeyapant; Benchawan Vihokhern; Rob W. van der Pluijm; Yoel Lubell; Lisa J. White; Ricardo Aguas; Cholrawee Promnarate; Pasathorn Sirithiranont; Benoit Malleret; Laurent Rénia; Carl Onsjö; Xin Hui Chan; Jeremy Chalk; Olivo Miotto; Krittaya Patumrat; Kesinee Chotivanich; Borimas Hanboonkunupakarn; Podjanee Jittmala; Nils Kaehler; Phaik Yeong Cheah; Christopher Pell; Mehul Dhorda; Mallika Imwong; Georges Snounou; Mavuto Mukaka; Pimnara Peerawaranun; Sue J. Lee; Julie A. Simpson; Sasithon Pukrittayakamee; Pratap Singhasivanon; Martin P. Grobusch; Frank Cobelens; Frank Smithuis; Paul N. Newton; Guy E. Thwaites; Nicholas P.J. Day; Mayfong Mayxay; Tran Tinh Hien; Francois H. Nosten; Arjen M. Dondorp; Nicholas J. White; Melbourne School of Population and Global Health; A-Star, Singapore Immunology Network; Université de Montpellier; Centre de Recherche en Immunologie des Infections Virales et des Maladies Auto-Immunes; London School of Hygiene & Tropical Medicine; IRD Institut de Recherche pour le Developpement; Yong Loo Lin School of Medicine; Mahidol University; Linköpings universitet; Nuffield Department of Clinical Medicine; University of California, Irvine; Wellcome Sanger Institute; Amsterdam UMC - University of Amsterdam; Center for Malariology, Parasitology and Entomology; University of Health Sciences; Amsterdam Institute for Global Health and Development; Mahosot Hospital; Myanmar Oxford Clinical Research Unit; Savannakhet Provincial Health Department; National Center for Parasitology, Entomology and Malaria Control; Royal Society of Thailand; Provincial Health Department; Institute of Malariology, Parasitology and Entomology; Oxford University Clinical Research Unitwere well tolerated; 6 severe adverse events were detected during the follow-up period, but none was attributable to the intervention. Conclusions Added to community-based basic malaria control measures, 3 monthly rounds of DP MDA reduced the incidence... and community-based case management and following intensive community engagement, we used restricted randomisation within village pairs to select 8 villages to receive early DP MDA and 8 villages as controls for 12 months, after which the control villagesPublication Open Access Application of mobile-technology for disease and treatment monitoring of malaria in the "Better Border Healthcare Programme"(2010-08) Pongthep Meankaew; พงษ์เทพ เมียนแก้ว; Jaranit Kaewkungwal; จรณิต แก้วกังวาล; Amnat Khamsiriwatchara; อำนาจ คำศิริวัชรา; Podjadeach Khunthong; พจเดช ขุนทอง; Pratap Singhasivanon; ประตาป สิงหศิวานนท์; Wichai Satimai; Jaranit Kaewkungwal; Mahidol University. Faculty of Tropical Medicine. Department of Tropical Hygienepopulation in a border area. The module for disease and treatment monitoring of malaria (DTMM) consisted of case investigation and case follow-up for treatment compliance and patients' symptoms. METHODS: The module combining web-based and mobile... technologies was developed as a proof of concept, in an attempt to replace the existing manual, paper-based activities that malaria staff used in treating and caring for malaria patients in the villages for which they were responsible. After a patientPublication Open Access Are there any changes in burden and management of communicable diseases in areas affected by Cyclone Nargis?(2011-06-28) Myint, Nyan Win; Jaranit Kaewkungwal; จรณิต แก้วกังวาล; Pratap Singhasivanon; ประตาป สิงหศิวานนท์; Kamron Chaisiri; Pornpet Panjapiyakul; Pichit Siriwan; Mallik, Arun K.; Nyein, Soe Lwin; Mu, Thet Thet; Jaranit Kaewkungwal; Mahidol University. Faculty of Tropical Medicinein Nargis-affected areas, population-based mortality rates for all other communicable diseases showed no significant change in 2008 in these areas, compared to 2007 and 2009. Tuberculosis control programs reached their targets of 70% case detection and 85Publication Open Access Artemisinin resistance containment project in Thailand. (I): Implementation of electronic-based malaria information system for early case detection and individual case management in provinces along the Thai-Cambodian border(2012-07-29) Amnat Khamsiriwatchara; Prayuth Sudathip; Surasak Sawang; Saowanit Vijakadge; Thanapon Potithavoranan; Aumnuyphan Sangvichean; Wichai Satimai; Delacollette, Charles; Pratap Singhasivanon; ประตาป สิงหศิวานนท์; Saranath Lawpoolsri; สารนาถ ล้อพูลศรี; Jaranit Kaewkungwal; จรณิต แก้วกังวาล; Jaranit Kaewkungwal; Mahidol University. Faculty of Tropical Medicine. Department of Tropical Hygiene; Mahidol University. Faculty of Tropical Medicine. Center of Excellence for Biomedical and Public Health Informatics.infections. The eMIS was designed as an evidence-based and near real-time system to capture data for early case detection, intensive case investigation, monitoring drug compliance and on/off-site tracking of malarial patients, as well as collecting data... essential data from individual malaria cases at local operational units, while effectively being used for situation and trend analysis at upper-management levels. The system provides evidence-based information that could contribute to the controlPublication Open Access Development of temporal modelling for forecasting and prediction of malaria infections using time-series and ARIMAX analyses: a case study in endemic districts of Bhutan(2010-09-03) Wangdi, Kinley; Pratap Singhasivanon; ประตาป สิงหศิวานนท์; Tassanee Silawan; Saranath Lawpoolsri; สารนาถ ล้อพูลศรี; White, Nicholas J.; Jaranit Kaewkungwal; จรณิต แก้วกังวาล; Jaranit Kaewkungwal; Mahidol University. Faculty of Tropical Medicine. Department of Tropical Hygiene; Mahidol University. Faculty of Tropical Medicine. Mahidol-Oxford Unit; Mahidol University. Faculty of Public Health. Rural Health Training and Research CentreBACKGROUND: Malaria still remains a public health problem in some districts of Bhutan despite marked reduction of cases in last few years. To strengthen the country's prevention and control measures, this study was carried out to develop forecasting and prediction models of malaria incidence in the endemic districts of Bhutan using time series and ARIMAX. METHODS: This study was carried out retrospectively using the monthly reported malaria cases from the health centres to Vector-borne Disease Control Programme (VDCP) and the meteorological data from Meteorological Unit, Department of Energy, Ministry of Economic Affairs. Time series analysis was performed on monthly malaria cases, from 1994 to 2008, in seven malaria endemic districts. The time series models derived from a multiplicative seasonal autoregressive integrated moving average (ARIMA) was deployed to identify the best model using data from 1994 to 2006. The best-fit model was selected for each individual district and for the overall endemic area was developed and the monthly cases from January to December 2009 and 2010 were forecasted. In developing the prediction model, the monthly reported malaria cases and the meteorological factors from 1996 to 2008 of the seven districts were analysed. The method of ARIMAX modelling was employed to determine predictors of malaria of the subsequent month. RESULTS: It was found that the ARIMA (p, d, q) (P, D, Q)s model (p and P representing the auto regressive and seasonal autoregressive; d and D representing the non-seasonal differences and seasonal differencing; and q and Q the moving average parameters and seasonal moving average parameters, respectively and s representing the length of the seasonal period) for the overall endemic districts was (2,1,1)(0,1,1)12; the modelling data from each district revealed two most common ARIMA models including (2,1,1)(0,1,1)12 and (1,1,1)(0,1,1)12. The forecasted monthly malaria cases from January to December 2009 and 2010 varied from 15 to 82 cases in 2009 and 67 to 149 cases in 2010, where population in 2009 was 285,375 and the expected population of 2010 to be 289,085. The ARIMAX model of monthly cases and climatic factors showed considerable variations among the different districts. In general, the mean maximum temperature lagged at one month was a strong positive predictor of an increased malaria cases for four districts. The monthly number of cases of the previous month was also a significant predictor in one district, whereas no variable could predict malaria cases for two districts. CONCLUSIONS: The ARIMA models of time-series analysis were useful in forecasting the number of cases in the endemic areas of Bhutan. There was no consistency in the predictors of malaria cases when using ARIMAX model with selected lag times and climatic predictors. The ARIMA forecasting models could be employed for planning and managing malaria prevention and control programme in Bhutan.Publication Open Access Malaria burden and artemisinin resistance in the mobile and migrant population on the Thai-Myanmar border, 1999-2011: an observational study(2014-04-24) Carrara, Verena I.; Lwin, Khin Maung; Phyo, Aung Pyae; Ashley, Elizabeth; Wiladphaingern, Jacher; Sriprawat, Kanlaya; Rijken, Marcus; Boel, Machteld; McGready, Rose; Proux, Stephane; Chu, Cindy; Pratap Singhasivanon; ประตาป สิงหศิวานนท์; White, Nicholas; Nosten, Francois; Nosten, Francois; Mahidol University. Faculty of Tropical Medicine. Mahidol Oxford University Research Unit-45) (8/29 patients) in 2011. CONCLUSIONS: Despite the emergence of resistance to artesunate in P. falciparum, the strategy of EDT with artemisinin-based combination treatments has been associated with a reduction in malaria in the migrant