Fuzzy modelling of Aedes mosquito abundance funded by Department of Science and Technology, Government of India (2015-2019)
CAGH developed an advanced fuzzy-logic based model for predicting Aedes mosquito abundance along with a framework for a geospatial public health network. The project involved participatory epidemiology, and two local colleges in Ernakulam district participated in data collection. It was featured in the Times of India highlighting it's innovative methodology, namely the deployment of two apps (MOSapp and DISapp) as well as the development of a new measure of mosquito prevalence, the Mosquito Prevelance Index (MPI).
The project was successfully completed and key findings were published in 2019 in the journal Environmental Monitoring and Assessment from Springer.
The citation is:
Babu, A.N., Niehaus, E., Shah, S. et al. Smartphone geospatial apps for dengue control, prevention, prediction, and education: MOSapp, DISapp, and the mosquito perception index (MPI). Environ Monit Assess (2019) 191(Suppl 2): 393. https://doi.org/10.1007/s10661-019-7425-0
A copy of the article can be accessed under the publications tab on this site.
The project was supported by the expertise of International research fellows /collaborators from Germany, (led by Prof. Engelbert Niehaus, University of Koblenz-Landau), and Australia (Dr Chandana Unnithan, Torrens University Australia).
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