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SciPub NU | SUDARAT CHADSUTHI — ผลงานตีพิมพ์
Assoc. Prof. Dr. SUDARAT CHADSUTHI
รองศาสตราจารย์ ดร.สุดารัตน์ ชาติสุทธิ
Department of Physics
Faculty of Science, Naresuan University
Naresuan University
Expertise
epidemiological modeling
machine learning
wastewater-based surveillance
infectious disease dynamics
public health surveillance
meteorological drivers
vaccination strategy modeling
zoonotic diseases
Computational Epidemiology
Infectious diseases modelling
+5 more
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sudaratc@nu.ac.th
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Year
Citations
Q (Scopus)
Q (SJR)
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1
Hybrid neural–mechanistic modeling of leptospirosis transmission with environmental drivers: Evidence from Thailand
S Khumphairan, S Chadsuthi, P Fransson, Y Liu, C Modchang, J Rocklöv, ...
Computers in Biology and Medicine 207, 111632, 2026
2026
0
Q1
Q1
2
Corrigendum to:“COVID-19 monitoring with sparse sampling of sewered and non-sewered wastewater in urban and rural communities”[iScience, Volume 26, Issue 7 (2023) 107019]
DL Wannigama, M Amarasiri, P Hongsing, C Hurst, C Modchang, ...
Iscience 29 (7), 2026
2026
0
Q1
Q1
3
COVID-19 monitoring with sparse sampling of sewered and non-sewered wastewater in urban and rural communities (vol 26, 107019, 2023)
DL Wannigama, M Amarasiri, P Hongsing, C Hurst, C Modchang, ...
ISCIENCE 29 (7), 2026
2026
0
Q1
Q1
4
Wastewater antibody signatures reflect SARS-CoV-2 infection and immunization patterns in the population
DL Wannigama, M Amarasiri, P Phattharapornjaroen, C Hurst, ...
Water Research, 126539, 2026
2026
0
Q2
Q2
5
Machine learning reveals temperature as a key predictor of dengue risk across Thailand’s provinces: A 20-year analysis
P Suttirat, S Chadsuthi, S Aekthong, J Rocklöv, DJ Bicout, P Haddawy, ...
PLOS Neglected Tropical Diseases 20 (7), e0014590, 2026
2026
0
Q1
Q1
6
Leveraging universal and transfer learning models for influenza prediction in Thailand
P Lueangwitchajaroen, S Anupong, C Winalai, S Chadsuthi
Scientific Reports 16 (1), 6668, 2026
2026
1
Q1
Q1
7
A Temperature-Dependent Multi-Serotype Model for Evaluating Dengue Vector Control Strategies in Thailand
S Aekthong, P Suttirat, N Rueangkham, S Chadsuthi, DJ Bicout, ...
medRxiv, 2026.04. 18.26351163, 2026
2026
1
N/A
N/A
8
Leveraging Baseline Neural Networks and SHAP Analysis to Identify Predictors for Dead on Arrival in Meat Duck Production Chalita Jainonthee1, 2, 3, Phutsadee Sanwisate4 …
S Chadsuthi, V Punyapornwithaya
Book of Proceedings, 19, 2025
2025
0
N/A
N/A
9
Temperature dominates dengue transmission in Thailand: Machine learning reveals critical thresholds and COVID-19 disruption
P Suttirat, S Chadsuthi, S Aekthong, J Rocklöv, DJ Bicout, P Haddawy, ...
medRxiv, 2025.09. 01.25334875, 2025
2025
1
N/A
N/A
10
Modeling the effectiveness of RT-PCR, RT-LAMP, and antigen testing strategies for COVID-19 control
T Chantanasaro, C Sararat, N Yolai, P Suttirat, K Nawattanapaiboon, ...
BMC Infectious Diseases 25 (1), 1351, 2025
2025
4
Q1
Q1
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