A5041576910- Animal Disease Management and Epidemiology
- Air Quality and Health Impacts
- COVID-19 epidemiological studies
- Vector-Borne Animal Diseases
- Zoonotic diseases and public health
- Mosquito-borne diseases and control
- Viral Infections and Vectors
- Malaria Research and Control
- Data-Driven Disease Surveillance
- Groundwater and Watershed Analysis
- Higher Education Governance and Development
- Soil Geostatistics and Mapping
- Air Quality Monitoring and Forecasting
- Hepatitis B Virus Studies
- Atmospheric and Environmental Gas Dynamics
- Forest Ecology and Conservation
- Flood Risk Assessment and Management
- Higher Education Learning Practices
- Atmospheric chemistry and aerosols
- Rice Cultivation and Yield Improvement
- Dengue and Mosquito Control Research
- Conservation, Biodiversity, and Resource Management
- Toxic Organic Pollutants Impact
- Remote Sensing and Land Use
- Viral Infections and Immunology Research
Chiang Mai University
2017-2021
Asian Institute of Technology
2008
Chiang Mai is the second largest city in Thailand, and a popular tourist destination with around 7 million tourists per year. It situated Northern region, about 700 kilometers north of Bangkok. Eighty cent area mountains 70 land forest area. The topography rapid diverse socio-economic structure province have affected not only use change economic activities but also quality its environment. has been facing problem haze pollution over past decade, particular during dry season from February to...
Aiming for early disease detection and prompt outbreak control, digital technology with a participatory One Health approach was used to create novel surveillance system called Participatory Disease Detection (PODD). PODD is community-owned that collects data from volunteer reporters; identifies automatically; notifies the local governments (LGs), surrounding villages, relevant authorities. This provides direct immediate benefit communities by empowering them protect themselves.The objective...
Foot and mouth disease (FMD) is considered a highly contagious transboundary of cloven-hoofed animals. FMD has become endemic to northern Thailand over the past decade. In 2016, outbreaks were recorded in three districts Chiang Mai Province. The objective this study was determine farm-level risk factors associated with outbreaks. This conducted via face-to-face interview questionnaire survey at 140 outbreak farms 307 control farms. Univariable multivariable logistic regression analyses used...
Abstract Background Foot and mouth disease (FMD) is a highly infectious contagious febrile vesicular of cloven-hoofed livestock with high socio-economic consequences globally. In Thailand, FMD endemic 183 262 outbreaks occurring in the years 2015 2016, respectively. this study, we aimed to assess spatiotemporal distribution among cattle Chiang Mai Lamphun provinces northern part Thailand during period 2015–2016. A retrospective space-time scan statistic including permutation (STP) Poisson...
Abstract Landsat 5 TM was used as a tool to model Anopheles mosquito densities on heterogeneous land cover. In this study, density data divided into five classes; absence, low, moderate, high, and very high densities. Land cover classified eight types. Stagnant water, wetland, paddy types are larva habitat. Forest, cropland, orchard, grassland adult Built-up is non Multiple linear regression discriminant analysis were selected identify the relationship between For average flight range of...
Seasonal haze pollution is a big issue in northern part of Thailand for last decade. It normally happens dry season during February to May annually. Chiang Mai one effected city and become economics health concerns local people seriously. Thus, monitoring remains challenge. PM10 value the key indicator air quality. Many publications have been reported relationship between aerosol optical thickness (AOT) which can be analyzed by MODIS Aerosol Product. This study examined temporal spatial...
Research and Innovation (R&I) has played an important role in constructing new knowledge higher education institutions (HEIs) worldwide. There are both enabler barrier factors on R&I capabilities HEIs; therefore, this paper aims to investigate the importance, current contexts gaps capacity building of Thai HEIs possibilities for improvement. Thirteen policymakers from HEI’s Authorities Funding Agencies were interviewed in-depth. In addition, online survey been conducted with 172...
The Mae Tao watershed of Thailand faced cadmium (Cd) contamination problems from zinc mining for a long time until the area was closed to decrease level Cd concentration. This study reproduced possible scenarios due soil loss. Four forest restoration were implemented in this study, all which calculated with Revised Universal Soil Loss Equation (RUSLE) integrated satellite imagery and Geographic Information Systems (GIS). Landsat 8-OLI acquired land use/land cover (LULC) classified each...
Dengue is the worldwide most important mosquito-borne viral disease in humans. A large dengue outbreak occurred Chiang Mai, Thailand 2013. The aims of this study were to describe epidemiology and determine spatio-temporal pattern sub-district with highest number cases. Data on patients, including date illness, obtained from Mai Provincial Public Health Center analyzed descriptively using R statistical software. geographic location patients’ residences was determined available geographical...
Animal movement is one of the most important risk factors for outbreaks foot and mouth disease (FMD) in cattle. Likewise, FMD can spread to cattle farms via vehicles contaminated with virus. In Northern Thailand, manure transport circulation bags among are considered as potential farms. This study aimed determine characteristics patterns tradesman using social network analysis. A structured questionnaire was used identify sequences routinely visited by each tradesman. total 611 participants...
The upper northern areas of Thailand have faced the problem smog for more than a decade due to open-air burning, geographical features, and climate which all allow occur continually. One air pollutants causing is fine particulate matter, less PM2.5 in diameter, affects people’s health. This research aims at finding suitable model be used estimating concentration from data collected by Moderate Resolution Imaging Spectroradiometer, MODIS. study covering 8 provinces north were this research....
Remotely sensed data and statistical model are integrated to develop the for predicting Anopheles mosquitoes, which is called “Anopheles Mosquito Density Predictive Model (AMDP model)”. It found that NDVI values higher than 0.501, temperature with range of 25-29oC, relative humidity 81-85%, deciduous forest land cover best predictors mosquito density classes in wet season, while cover, elevation 400-700 meters interval dry season. AMDP was able predict correctly 79.7% 73.8% seasons. This has...
<sec> <title>BACKGROUND</title> Aiming for early disease detection and prompt outbreak control, digital technology with a participatory One Health approach was used to create novel surveillance system called Participatory Disease Detection (PODD). PODD is community-owned that collects data from volunteer reporters; identifies automatically; notifies the local governments (LGs), surrounding villages, relevant authorities. This provides direct immediate benefit communities by empowering them...