- Influenza Virus Research Studies
- COVID-19 epidemiological studies
- Currency Recognition and Detection
- Global Health Care Issues
- SARS-CoV-2 and COVID-19 Research
- Pneumonia and Respiratory Infections
- Vaccine Coverage and Hesitancy
- Digital Imaging for Blood Diseases
- Burkholderia infections and melioidosis
- Respiratory viral infections research
- COVID-19 Clinical Research Studies
- Smart Agriculture and AI
- Viral Infections and Outbreaks Research
- Climate Change and Health Impacts
- COVID-19 Digital Contact Tracing
- COVID-19 Pandemic Impacts
- COVID-19 and healthcare impacts
Ministry of Public Health
2019-2023
Department of Disease Control
2020-2022
A recent modelling study estimated that there are 2800 deaths due to melioidosis in Thailand yearly. The Melioidosis Network (formed 2012) has been working closely with the Ministry of Public Health (MoPH) investigate and reduce burden this disease. Based on updated data, incidence is still high Northeast Thailand. More than 2000 culture-confirmed cases diagnosed general hospitals microbiology laboratories region each year. mortality rate around 35%. endemic throughout Thailand, but it not...
Due to the widespread Omicron variant of SARS-CoV-2 in Thailand, effectiveness COVID-19 vaccines has become a major issue. The primary objective this study is examine real-world based on secondary data acquired under normal circumstances setting, protect against treatment with invasive ventilation pneumonia during January April 2022, period when was predominant. We conducted nationwide test-negative case-control study. case and control were matched ratio 1:4 terms age, date specimen...
Coronavirus disease 2019 (COVID-19) has spread rapidly worldwide. This study aimed to assess and predict the incidence of COVID-19 in Thailand, including preparation evaluation intervention strategies. An SEIR (susceptible, exposed, infected, recovered) model was implemented with parameters estimated using Bayesian approach. The model’s projections showed that highest daily reported would be approximately 140 cases (95% credible interval, CrI: 83–170 cases) by end March 2020. After Thailand...
There is a limited body of research specifically examining gender inequality in excess mortality and its variations across age groups geographical locations during the COVID-19 pandemic. This study aims to fill this gap by analyzing patterns all-cause Thailand pandemic.Data pertaining deaths population between January 1, 2010, December 31, 2021, were obtained from Thailand's Bureau Registration Administration. A seasonal autoregressive integrated moving average (SARIMA) technique was used...
Influenza outbreaks in Thai prisons were increasing number every year and to address this, the Ministry of Public Health (MOPH) initiated a policy promote vaccination for prisoners. The objective this study was assess cost effectiveness budget impact influenza prisoners Thailand. obtained data from Division Epidemiology, Department Disease Control (DDC), MOPH. Deterministic system dynamic modelling exercised estimate financial implication programme comparison with routine outbreak control....
Influenza is a highly contagious disease. Due to high number of reported cases with influenza-like illnesses at prison, joint investigation by the Department Disease Control and local public health teams was conducted confirm reports implement control measures. Suspected influenza were defined as prison inmate or officer who developed fever coughing and/or sore throat. A confirmed case suspected nasopharyngeal swab testing positive for RT-PCR. The environment practices observed....
Introduction: Vector-borne diseases (VBDs) account for around 17% of global infectious diseases, with malaria and dengue being the most prevalent. Effective VBD prevention involves controlling mosquito populations by spraying micro-bubble (MB) insecticide. Quality control measures MB size are essential, but few centers can assess measurement. Machine learning (ML) is a powerful tool automating enhancing image analysis tasks, including measuring size. In this study, we train evaluate ML...