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Chalita Jainonthee

Showing results (1-10 of 17) with videos related to

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Tropical Medicine and Infectious Disease|February 25, 2025
Seasonal and Meteorological Drivers of Hand, Foot, and Mouth Disease Outbreaks Using Data-Driven Machine Learning ModelsPakorn Lonlab, Suparinthon Anupong, Chalita Jainonthee, et al.
Tropical Medicine and Infectious Disease|November 10, 2022
Air Pollution-Related Respiratory Diseases and Associated Environmental Factors in Chiang Mai, Thailand, in 2011-2020Chalita Jainonthee, Ying-Lin Wang, Colin W K Chen, et al.
Poultry Science|May 27, 2025
Impact of transitioning from antibiotic use to antibiotic-free practices on broiler dead-on-arrival rates: A bayesian structural time series approachPanneepa Sivapirunthep, Pranee Pirompud, Veerasak Punyapornwithaya, et al.
Animals : an Open Access Journal From MDPI|April 26, 2025
Modeling and Forecasting Dead-on-Arrival in Broilers Using Time Series Methods: A Case Study from ThailandChalita Jainonthee, Panneepa Sivapirunthep, Pranee Pirompud, et al.
International Journal of Environmental Research and Public Health|August 26, 2022
Impacts of the Pandemic, Animal Source Food Retailers' and Consumers' Knowledge and Attitudes toward COVID-19, and Their Food Safety Practices in Chiang Mai, ThailandChalita Jainonthee, Sinh Dang-Xuan, Hung Nguyen-Viet, et al.
Veterinary Sciences|March 24, 2022
A Cutoff Determination of Real-Time Loop-Mediated Isothermal Amplification (LAMP) for End-Point Detection of <i>Campylobacter jejuni</i> in Chicken MeatChalita Jainonthee, Warangkhana Chaisowwong, Phakamas Ngamsanga, et al.
BMC Veterinary Research|July 3, 2025
Using online public animal price data as a signal for predicting an increase in animal disease outbreak reports: a pilot study on cross-correlation modeling in ThailandVeerasak Punyapornwithaya, Supitchaya Srisawang, Chalita Jainonthee, et al.
Frontiers in Veterinary Science|January 22, 2024
The impact of mass vaccination policy and control measures on lumpy skin disease cases in Thailand: insights from a Bayesian structural time series analysisVeerasak Punyapornwithaya, Orapun Arjkumpa, Noppawan Buamithup, et al.
Poultry Science|December 12, 2024
Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducksChalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, et al.
Frontiers in Veterinary Science|December 14, 2023
Time series analysis and forecasting of the number of canine rabies confirmed cases in Thailand based on national-level surveillance dataVeerasak Punyapornwithaya, Weerapong Thanapongtharm, Chalita Jainonthee, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Tropical Medicine and Infectious Disease|February 25, 2025
Seasonal and Meteorological Drivers of Hand, Foot, and Mouth Disease Outbreaks Using Data-Driven Machine Learning ModelsPakorn Lonlab, Suparinthon Anupong, Chalita Jainonthee, et al.
Tropical Medicine and Infectious Disease|November 10, 2022
Air Pollution-Related Respiratory Diseases and Associated Environmental Factors in Chiang Mai, Thailand, in 2011-2020Chalita Jainonthee, Ying-Lin Wang, Colin W K Chen, et al.
Poultry Science|May 27, 2025
Impact of transitioning from antibiotic use to antibiotic-free practices on broiler dead-on-arrival rates: A bayesian structural time series approachPanneepa Sivapirunthep, Pranee Pirompud, Veerasak Punyapornwithaya, et al.
Animals : an Open Access Journal From MDPI|April 26, 2025
Modeling and Forecasting Dead-on-Arrival in Broilers Using Time Series Methods: A Case Study from ThailandChalita Jainonthee, Panneepa Sivapirunthep, Pranee Pirompud, et al.
International Journal of Environmental Research and Public Health|August 26, 2022
Impacts of the Pandemic, Animal Source Food Retailers' and Consumers' Knowledge and Attitudes toward COVID-19, and Their Food Safety Practices in Chiang Mai, ThailandChalita Jainonthee, Sinh Dang-Xuan, Hung Nguyen-Viet, et al.
Veterinary Sciences|March 24, 2022
A Cutoff Determination of Real-Time Loop-Mediated Isothermal Amplification (LAMP) for End-Point Detection of <i>Campylobacter jejuni</i> in Chicken MeatChalita Jainonthee, Warangkhana Chaisowwong, Phakamas Ngamsanga, et al.
BMC Veterinary Research|July 3, 2025
Using online public animal price data as a signal for predicting an increase in animal disease outbreak reports: a pilot study on cross-correlation modeling in ThailandVeerasak Punyapornwithaya, Supitchaya Srisawang, Chalita Jainonthee, et al.
Frontiers in Veterinary Science|January 22, 2024
The impact of mass vaccination policy and control measures on lumpy skin disease cases in Thailand: insights from a Bayesian structural time series analysisVeerasak Punyapornwithaya, Orapun Arjkumpa, Noppawan Buamithup, et al.
Poultry Science|December 12, 2024
Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducksChalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, et al.
Frontiers in Veterinary Science|December 14, 2023
Time series analysis and forecasting of the number of canine rabies confirmed cases in Thailand based on national-level surveillance dataVeerasak Punyapornwithaya, Weerapong Thanapongtharm, Chalita Jainonthee, et al.
Pageof 2