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Expertise Center

Infectious Diseases

Evidence and modelling for infectious disease control in Indonesia.

Overview

About the center.

The Infectious Diseases Center develops quantitative models, claims-based analyses, and decision tools to support national programs for tuberculosis, HIV, and other communicable diseases. Work spans transmission and cost modelling, treatment-cascade measurement from routine insurance data, and the evaluation of social-determinant interventions. The center aims to translate epidemiological evidence into practical inputs for Kementerian Kesehatan planning and budget decisions.

Scope of Work

What this center covers.

Reports & Publications

Evidence from this area.

All products
TB Modelling IndonesiaTool
Spatial transmission of tuberculosis in eastern IndonesiaPublication · 2025
Estimating undiagnosed HIV from routine surveillancePublication · 2024
People

People in this center.

The center is led and staffed by the researchers below, working with academic and institutional collaborators.

See the full institute team

Research Lead

Aisha Arysaningrum, MPH

Research Lead, Infectious Disease Epidemiology

Works on TB and HIV surveillance, transmission modelling, and outbreak analytics using routine and survey data.

Collaborators

Eijkman Institute for Molecular Biology

Pathogen genomics

Subdit Tuberkulosis, Kementerian Kesehatan

TB programme data

Prof. Michael Adeyemi (Imperial College London)

Transmission modelling

Collaboration & Join ARC

Work with this center.

The center collaborates with Kementerian Kesehatan, national disease programs, and academic partners on modelling and routine-data analysis. Researchers, clinicians, and program staff interested in joining or partnering may contact the center directly.

Join ARC

Research Associate

Early-career researchers contributing to analysis, data work, and evidence products. Apply on the Join ARC page.

Join ARC

Research Fellow

Experienced researchers leading studies, methods, and policy-facing outputs in this area. Apply on the Join ARC page.

Collaboration

Partner with this area

Joint research, commissioned analysis, technical assistance, and data partnerships are welcome.