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Epidemiological Dynamics and Public Health Challenges of Mpox in Southern Thailand Ismail, Andi Almeira Zocha; Rahman, Siti Zulaikha; Anchana, Bamrungsap; Chantanee, Namuangruk; Bamrungsap, Pongkarn
International Journal of Clinical Inventions and Medical Sciences (IJCIMS) Vol 6 No 2: September 2024
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijcims-0602.707

Abstract

Mpox, a zoonotic viral disease, has emerged as a significant public health concern globally, especially since its spread beyond Central and West Africa in 2022. This study focuses on the epidemiological patterns of mpox in Southern Thailand, a region characterized by frequent human-wildlife interactions and cross-border activity. The findings reveal a high concentration of mpox cases in rural areas, with a prevalence rate of 15.4 per 100,000 population. The majority of cases occurred among males aged 25-40, highlighting a demographic trend linked to occupational and travel-related exposure. Transmission patterns indicate that close contact with infected individuals and wildlife are critical factors, with occupational exposure in rural areas posing significant risks. Public health interventions, such as isolation, hygiene promotion, and education, have been somewhat effective in urban settings but face challenges in rural areas due to limited healthcare access and low public awareness. The study emphasizes the need for targeted interventions, improved surveillance, and expanded vaccination efforts to mitigate the spread of mpox, particularly in regions with significant wildlife contact. Understanding these dynamics is essential for future outbreak control efforts in Southeast Asia and beyond.
A Unified Operational Model for Dengue Control: Bridging Community Data and Clinical Surveillance Faungnawakij, Rameshprabu; Bamrungsap, Supawadee; Chantanee, Namuangruk; Ramaraj, Vanchai; Buranathai, Anchana
International Journal of Clinical Inventions and Medical Sciences (IJCIMS) Vol 7 No 2: September 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijcims-0702.867

Abstract

Dengue fever continues to be a significant urban health issue in Bangkok, fueled by dense population, environmental factors, and incomplete surveillance systems. Even with continuous public health measures, a disparity remains between local vector control initiatives and institutional clinical surveillance, leading to slower outbreak responses and inefficient use of resources. This research seeks to create a cohesive clinical, environmental model that combines community-driven mosquito monitoring, clinical dengue tracking, and public health initiatives into one operational system. Employing a mixed-methods approach, the study took place from January to November 2025 in high-incidence districts within Bangkok and surrounding provinces. Data gathering comprised focus group discussions, interviews with key informants, and secondary analysis of dengue case statistics, vector density measures, and fogging operations. A four-phase model development approach was utilized, incorporating co-design with stakeholders, thematic coding of qualitative information, and triangulation of quantitative data sets. Results show that present response efforts are obstructed by data disconnection, poorly timed fogging, and restricted community involvement. The suggested model enhances real-time data exchange and feedback among community health volunteers, clinics, and city officials, allowing for improved vector management and quicker outbreak responses. It enables communities to serve as proactive participants in surveillance systems, rather than merely as beneficiaries of interventions. Moreover, the model is created to be flexible and suitable for different urban settings. Subsequent studies should aim at conducting pilot tests of the model in chosen districts of Bangkok, incorporating mobile reporting tools, and assessing cost-effectiveness and scalability in larger Southeast Asian urban areas.