Yanin Limpanont
Biographic Data
| ID | 7015319 |
|---|---|
| NAME | Yanin Limpanont |
| GIVEN NAMES | Yanin |
| FAMILY NAME | Limpanont |
| SIGNATURE | LIMPANONT Y |
| AFFILIATIONS | Mahidol Oxford Tropical Medicine Research Unit |
| ORCID | 0000-0002-4027-3412 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Particulate matter (PM10) prediction based on multiple linear regression
In conclusion, the MLR models are effective at estimating PM 10 concentrations at the local level for each seasonal. The annual MLR model at both stations indicates a good prediction with an R 2 of 0.61 and 0.52 for stations 65 and 73, respectively
Exposure to Heavy Metals in Electronic Waste Recycling in Thailand
Electronic waste recycling can release heavy metals into the environment and cause adverse health effects. We assessed the association between exposure to heavy metals from electronic waste recycling and the prevalence of asthma in a nested case-control study of 51 subject pairs with and without asthma. House dust, airborne dust, blood, and urine were collected from residents of two neighboring sites in Ubon Ratchathani province, Thailand. Multip…
Factors associated with dengue prevention behaviour in Lowokwaru, Malang, Indonesia
Age, gender, duration of stay in Malang, number of family members, and perception of dengue susceptibility were associated with dengue prevention behaviour
No prominent works on this page.
Factors associated with dengue prevention behaviour in Lowokwaru, Malang, Indonesia
Age, gender, duration of stay in Malang, number of family members, and perception of dengue susceptibility were associated with dengue prevention behaviour
Exposure to Heavy Metals in Electronic Waste Recycling in Thailand
Electronic waste recycling can release heavy metals into the environment and cause adverse health effects. We assessed the association between exposure to heavy metals from electronic waste recycling and the prevalence of asthma in a nested case-control study of 51 subject pairs with and without asthma. House dust, airborne dust, blood, and urine were collected from residents of two neighboring sites in Ubon Ratchathani province, Thailand. Multip…
Particulate matter (PM10) prediction based on multiple linear regression
In conclusion, the MLR models are effective at estimating PM 10 concentrations at the local level for each seasonal. The annual MLR model at both stations indicates a good prediction with an R 2 of 0.61 and 0.52 for stations 65 and 73, respectively
Environmental health (2 works) · Environmental Science (2 works) · Medicine (2 works) · Air pollution (1 work) · Air Quality and Health Impacts (1 work) · Air Quality Monitoring and Forecasting (1 work) · Asthma (1 work) · Atmospheric chemistry and aerosols (1 work) · Atmospheric sciences (1 work) · Biology (1 work)