Charin Modchang

Machine learning reveals temperature as a key predictor of dengue risk across Thailand’s provinces: A 20-year analysis

Pikkanet Suttirat, Sudarat Chadsuthi, Supassorn Aekthong, Joacim Rocklöv et autres

BACKGROUND: Dengue fever remains a critical public health challenge in Thailand, with transmission dynamics driven by complex interactions between environmental and socioeconomic factors. Understanding these predictive factors is essential for developing robust forecasting systems. METHODS: We developed a machine learning framework to …

th, de, us, se, fr (code pays fourni par la source)

Wastewater antibody signatures reflect SARS-CoV-2 infection and immunization patterns in the population

Dhammika Leshan Wannigama, Mohan Amarasiri, Phatthranit Phattharapornjaroen, Cameron Hurst et autres

jp, th, us, in, lb, cn, gb, au, de, nl, nz, Madagascar, ca (code pays fourni par la source)

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]

Dhammika Leshan Wannigama, Mohan Amarasiri, Parichart Hongsing, Cameron Hurst et autres

[This corrects the article DOI: 10.1016/j.isci.2023.107019.].

th, au, jp, gb, se, nz, in, de (code pays fourni par la source)

A Temperature-Dependent Multi-Serotype Model for Evaluating Dengue Vector Control Strategies in Thailand

Supassorn Aekthong, Pikkanet Suttirat, Naruemon Rueangkham, Sudarat Chadsuthi et autres

Abstract Background Dengue remains a major public health challenge in Thailand despite decades of vector control implementation. While mathematical models have explored dengue transmission dynamics, systematic evaluation of current control strategies under realistic operational conditions remains limited. Methods We developed a temperature-dependent, …

th, fr, de (code pays fourni par la source)

Modeling the risk of airborne transmission of respiratory viruses in microgravity

Chayanin Sararat, Natnicha Jiravejchakul, Kawin Nawattanapaiboon, Charin Modchang

Airborne transmission is one of the most efficient routes of respiratory viral spread, posing a significant challenge in controlling major infectious diseases such as COVID-19. In microgravity environments, such as the International Space Station (ISS), this mode of transmission requires heightened vigilance …

th (code pays fourni par la source)

Hybrid neural–mechanistic modeling of leptospirosis transmission with environmental drivers: Evidence from Thailand

Sumet Khumphairan, Sudarat Chadsuthi, Peter Fransson, Yichao Liu et autres

de, th (code pays fourni par la source)

RETRACTED: Tracking Plasmodium knowlesi Through Fecal DNA for Monitoring Zoonotic Transmission in Wild Macaques Across Southeast and South Asia

Dhammika Leshan Wannigama, Mohan Amarasiri, Phatthranit Phattharapornjaroen, Cameron Hurst et autres

We conducted the noninvasive surveillance of Plasmodium knowlesi in wild macaques using 4752 fecal samples collected across 9 endemic countries. Parasite DNA was detected in 390 samples (8.2%), with positivity rates ranging from 1.4% to 18.4%. This provides the first field-based evidence …

jp, th, Tanzanie, gb, au, id, us, in, lb, my, pg, kh, vu, br, Nigéria, lk, la, ph, tr, ir, de, nz, cn, ca (code pays fourni par la source)

Modeling the effectiveness of RT-PCR, RT-LAMP, and antigen testing strategies for COVID-19 control

Tanakorn Chantanasaro, Chayanin Sararat, Noppamas Yolai, Pikkanet Suttirat et autres

BACKGROUND: The COVID-19 pandemic has highlighted the crucial role of testing in mitigating disease transmission. This study evaluates the effectiveness and cost-efficiency of various testing strategies, including daily screening, symptom-based testing, and contact-based testing, using RT-PCR, RT-LAMP, and antigen tests. METHODS: We …

th (code pays fourni par la source)

Unraveling the drivers of leptospirosis risk in Thailand using machine learning

Pikkanet Suttirat, Sudarat Chadsuthi, Charin Modchang, Joacim Rocklöv

Leptospirosis poses a significant public health challenge in Thailand, driven by a complex mix of environmental and socioeconomic factors. This study develops an XGBoost machine learning model to predict leptospirosis outbreak risk at the provincial level in Thailand, integrating climatic, socioeconomic, and …

th, de, us, se (code pays fourni par la source)

Finite element analysis of polymeric microneedle insertion into skin

Noppamas Yolai, Wenting Shu, Eoin D. O’Cearbhaill, Charin Modchang et autres

• Deformable FE models reveal polymeric microneedle failure modes not captured by rigid body assumptions. • Just 5° misalignment causes stresses exceeding polystyrene yield strength, leading to microneedle fracture. • Skin curvature induces non-uniform tip contact and higher bending forces on outer …

th, ie (code pays fourni par la source)

Temperature dominates dengue transmission in Thailand: Machine learning reveals critical thresholds and COVID-19 disruption

Pikkanet Suttirat, Sudarat Chadsuthi, Supassorn Aekthong, Joacim Rocklöv et autres

Abstract Background Dengue fever remains a critical public health challenge in Thailand, with transmission dynamics driven by complex interactions between environmental and socioeconomic factors. Understanding these drivers is essential for developing robust prediction systems. Methods We developed a machine learning framework to …

th, de, fr (code pays fourni par la source)

Global participatory wastewater surveillance to understand mpox clade diversity in war and conflict-affected countries

Dhammika Leshan Wannigama, Mohan Amarasiri, Phatthranit Phattharapornjaroen, Cameron Hurst et autres

Community-led wastewater surveillance reveals widespread circulation of the mpox virus and clade diversity in conflict-affected countries. This low-cost approach fills critical surveillance gaps, uncovering regional clade variations, including the more severe Clade Ib and highlighting the potential of decentralized genomic monitoring where …

jp, lk, gb, th, se, au, cn, lb, us, br, Nigéria, pk, Tanzanie, de, tr, nz, ca (code pays fourni par la source)