About US

Network of Excellence in Advanced ICT for Tropical Medicine

We target to build a community and training repository around the topic of using advanced ICT for various problems and applications in Tropical Medicine.

The Vision

Use Advanced Information Technology to strengthen and link key points in the system of vectorborne disease detection and response

Surveillance

Prediction & Risk
Modeling

Clinical Decision
Support

Disease Control

Artificial Intelligence techniques at key points to

Lower need for manual labor

Accelerate response time

Increase quality of decision making

Better focus resources

Bio-acoustic sensors for adult mosquito vector counts

Bio-acoustic sensors for adult mosquito vector counts

Detect and count species and sex from wingbeat sounds

Status

  • Classification models work well without noise

Ongoing & Future Work

  • Robustness to noise
  • Explore opto-acoustics
  • Deploy on IoT device
  • Network to provide continuous data stream

The role human mobility in malaria transmission

Smartphone app tracked 400 participants in Tak province hourly for one year
Conducted initial analysis of the data, including relation to COVID

 

Ongoing & Future Work
  • Individual Risk = Mobility + Spatial Risk
  • Routes of transmission, including imported cases
  • Software toolbox to support analysis and modeling
  • Agent-based simulation to evaluate control strategies
Smartphone app tracked 400 participants in Tak province hourly for one year
Conducted initial analysis of the data, including relation to COVID

 

Ongoing & Future Work
  • Individual Risk = Mobility + Spatial Risk
  • Routes of transmission, including imported cases
  • Software toolbox to support analysis and modeling
  • Agent-based simulation to evaluate control strategies

Collaborative Decision Support Dashboard

Collaborative Decision Support Dashboard

Support distributed teams in exploration and
analysis of disease data

Platform supports real-time collaboration with 3D choropleth maps and scatter plots

Ongoing & Future Work

  • Integrate more analytical tools and machine learning algorithms

Dengue Diagnostic and Prognostic Decision Support

Dengue diagnostic decision support

Dengue diagnostic decision support

Models: Dengue diagnosis, DHF prediction, Day zero prediction

Ongoing & Future Work

  • Develop DHF and Day zero models that can work with partial data
  • Integrate into application software
  • Evaluate in the Hospital for Tropical Diseases

Partners

Founding partners

University of Bremen, Germany

Institute for Sustainable Communication Networks

Contact: Prof. Dr. Anna Förster
https://www.comnets.uni-bremen.de

University of Bremen, Germany

Institute of Computer Graphics and Virtual Reality

Contact: Prof. Dr. Gabriel Zachmann
https://cgvr.cs.uni-bremen.de

Mahidol University, Thailand

Mahidol Bremen Medical Informatics Research Unit (MIRU)

Contact: Prof. Dr. Peter Haddawy
https://miru.ict.mahidol.ac.th/

Faculty of Tropical Medicine, Mahidol University

Department of Tropical Hygiene,

Center of Excellence for Biomedical and Public Health Informatics (BIOPHICS)

Contact: Assoc. Prof. Saranath Lawpoolsri Niyom
https://www.biophics.org/

Partners

Moi University, Kenya

Department of Mathematics, Physics, and Computing
Contact: Dr. Gibson Kimutai

Federal University of Rio de Janeiro

Signals, Multimedia and Telecommunications Lab

Contact: Dr. Sergio L. Netto
http://www.smt.ufrj.br/~sergioln

University of Mahidol, Thailand

Biomedical and Health Informatics, Faculty of Tropical Medicine

Contact: Assoc. Prof. Saranath Lawpoolsri Niyom
https://mu-informatics.org/