The IMPACTLAB Accelerator converts data into foresight, enabling health systems to anticipate transmission dynamics and act proactively rather than reactively.

By integrating spatial epidemiology, statistical modelling, and GeoAI, the accelerator generates predictive insights that inform where risk will emerge, which populations are most vulnerable, and which interventions will deliver the greatest impact.

Core functions include spatial risk modelling, climate-informed transmission analysis, ensemble forecasting, uncertainty quantification, and scenario simulation. Models are continuously validated against operational data, ensuring relevance and reliability in real-world settings.

Outputs include reproducible modelling frameworks, scalable analytical pipelines, and decision-ready insights that strengthen both scientific rigour and operational planning across diseases and geographies.

Training Resources

To support the implementation of these frameworks, you may access and download our comprehensive training materials through the links below:

Foundations & Modeling Theory

• Infectious Diseases Modeling for Health Policy and Research – Iqbal Elyazar (SHIELD PAPUA)

• Introduction to Infectious Disease Modeling – Prof. Hasmi, SKM, M.Kes. (FKM Uncen)

• Infectious Disease Modeling Theory and Model Demonstration – Tyas A. Widayati (Monash University Indonesia)

• Building a Model: Hands-on Activity – Rahmat Sagara, M.Sc., Ph.D. (Candidate) (OUCRU-ID)

• WHO Disease Modeling Studies and Their Impact on Public Health – Dr. Ajib Diptyanusa (WHO)

• How Modeling Research Supports Public Health Improvement – dr. Asik Surya, MPPM (Joint Coalition Against Dengue)

• Showcase: Social Determinants Influencing Access to Malaria Services – A Formative Study in NTT, Papua, and West Papua – Ermi Ndoen (UNICEF)

• Modeling for Policy Making – Bimandra Djaafara, Ph.D. (National University of Singapore)

Health Context & Surveillance Systems

• Health Situation in Papua and Strategic Issues – Dr. dr. Arry Pongtiku, MHM, MBA (Papua Health Office)

• 2024 Disease Prevention and Control Program Situation in Papua Province – Arinius Weya, Bsc. MPH (P2P Division, Papua Provincial Health Office)

• Public Health Problem Analysis in Papua – Prof. Hasmi, SKM, M.Kes. (FKM Uncen)

• Health Surveillance Systems: Strategies and Challenges – Iswahyudi (UNICEF)

• Early Warning Outbreak Recognition System (SKDR) and VPD Surveillance Policies – Elianus Tabuni, Mgr, MSc (Papua Provincial Health Office)

• Maternal, Child Health, and Nutrition Surveillance: Strategies and Challenges – Maternal & Child Health Section, Papua Provincial Health Office

• Introductory Discussion: Which Questions Can Be Answered via Modeling? – Henry Surendra, Ph.D. (Monash University Indonesia)

Technical Applications (SPARKLE Short Course)

• Modelling an Outbreak - COVID-19 – Dewi Anastasia Christina (BRIN / Imperial College)

• Fitting Models in R – Rahmat Sagara, MSc., Ph.D. (Candidate) (OUCRU-ID)

• Modelling Interventions in R – Ihsan Fadilah, M.D., DPhil (Candidate) (OUCRU-ID)

• Building Vector-Borne Disease Models – Kartika Saraswati, M.D., D.Phil. (National University of Singapore)