Geospatial modeling and simulation techniques to study prevalence and spread of diseases

Mansourian, Ali (Supervisor)
Pilesjö, Petter (Assistant supervisor)
RAJABI GURANDANI, MOHAMMADREZA (Research student)

Project: Dissertation

Status	Finished
Effective start/end date	2013/09/01 → 2017/09/30

Free keywords

Health GIS
Disease spread
disease prevalence
Agent
agent-based modelling
Artificial Intelligence
neural networks
fuzzy logic
regression
infectious disease
noninfectious disease
spatial modelling
geosimulation

2 Article
1 Paper in conference proceeding

A spatially explicit agent-based modeling approach for the spread of Cutaneous Leishmaniasis disease in central Iran, Isfahan
Rajabi, M., Pilesjö, P., Shirzadi, M. R., Fadaei, R. & Mansourian, A., 2016 Aug 1, In: Environmental Modelling & Software. 82, p. 330-346 17 p.
Research output: Contribution to journal › Article › peer-review
Comparing Knowledge-Driven and Data-Driven Modeling methods for susceptibility mapping in spatial epidemiology : a case study in Visceral Leishmaniasis
Rajabi, M., Mansourian, A., Pilesjö, P., Hedefalk, F., Groth, R. & Bazmani, A., 2014, Proceedings of the AGILE'2014 International Conference on Geographic Information Science, Castellón, June, 3-6. Association of Geographic Information Laboratories for Europe, p. 1-5 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks : a case study in north-western Iran
Rajabi, M., Mansourian, A., Pilesjö, P. & Bazmani, A., 2014, In: Geospatial health. 9, 1, p. 179-191
Research output: Contribution to journal › Article › peer-review

Open Access