Climate-Driven Dengue Prediction Models In Southeast Asia: A Scoping Review For Public Health Application Introduction Dengue remains a major public health threat in Southeast Asia, with climate factors playing a significant role in its transmission. Climate-driven dengue modelling offers a valuable tool for outbreak forecasting and risk assessment. However, methodological rigour, predictive accuracy, and applicability vary across studies. This review aimed to map climate-driven dengue modelling approaches in Southeast Asia and evaluate their public health applicability. Methods A scoping review was conducted in accordance with the JBI framework and PRISMA-ScR guidelines. Studies focusing on climate-driven dengue prediction models were identified from PubMed, Scopus, and Web of Science. A total of 20 studies (N = 20) met the eligibility criteria. Eligible studies included those conducted in Southeast Asia that incorporated at least one climatic predictor into a dengue model and were published in English. Data extraction included model types, predictors, and model performance. Results The studies were included and categorized into four themes, Short-Term Forecasting, Long-Term Forecasting, Risk Mapping, and Climate–Transmission Simulation Models. Temperature, rainfall, and humidity were the most used climatic variables. Short-term models demonstrated high predictive accuracy (80%–95%). Long-term and simulation models offered insights into seasonal dynamics and intervention scenarios. Risk mapping enhanced spatial targeting, particularly when integrating land-use or mobility data. Across all themes, reliance on internal validation and inconsistent performance reporting limited generalisability. Conclusions These models showed significant potential to improve surveillance and outbreak preparedness in Southeast Asia. Strengthening external validation, integrating socio-environmental predictors, and fostering regional collaboration through platforms such as the ASEAN Centre for Public Health Emergencies and Emerging Diseases (ACPHEED) are essential to scaling model use for public health decision-making.

Dengue remains a public health threat that consumes a significant number of resources for its prevention and control. This systematic review aimed to solidify recent costing evidence in dengue management among South East Asian (SEA) countries. All studies conducted between 2010 and 2020 were retrieved using four international databases i.e. PubMed, Scopus, Web of Science, and Emerald Insight. The review was reported according to PRISMA guidelines. Quality assessments were done independently by two reviewers using a checklist adapted for the cost of illness studies. We identified 13 original articles representing several SEA countries. Among the common reported costing measure include total cost/ health expenditure; direct medical cost; direct non-medical cost; and indirect cost. The estimated total cost for dengue management varied between countries largely due to the difference in the total incidence of dengue cases. The estimated cost spent on dengue per capita GDP ranges from less than 0.001% to 0.1%, depending on the recorded number of dengue cases of the year. The majority of the articles focused on the economic burden from the perspective of treatment such as hospitalization and ambulatory care. In a nutshell, the economic burden of managing dengue infection is costly and the evidence suggests a steady increase in health expenditure with the growing number of dengue cases