Smartphone geospatial apps for dengue control, prevention, prediction, and education: MOSapp, DISapp, and the mosquito perception index (MPI)

Author:

Babu A. N.ORCID,Niehaus E.,Shah S.,Unnithan C.,Ramkumar P. S.,Shah J.,Binoy V. V.,Soman B.,Arunan M. C.,Jose C. P.

Funder

Natural Resources Data Management System (NRDMS), Department of Science and Technology, Government of India.

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Reference46 articles.

1. Babu, A. N. (2008). Development of an early warning and automated response system (EWARS) for epidemic prevention: an approach to chikungunya in Kerala. In Proceedings of the Second International Conference on Medical Anthropology, December, Madurai, India.

2. Babu, A. N., & Niehaus, E. (2010). Multidisciplinary development of a proposed early warning and automated response system (EWARS) for epidemic prevention. In Proceedings of International Congress on Environmental Modeling and Software 2010, Ottawa, Canada.

3. Babu, A. N., Soman, B., Niehaus, E., Shah, J., Sarda, N. L., Ramkumar, P. S., & Unnithan, C. (2014). Community- based early warning and adaptive response system (EWARS) for mosquito borne diseases: an open source/open community approach. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-8, 167–170.

4. Bhutta, Z., Nundy, S., & Abbasi, K. (2004). Is there hope for South Asia? British Medical Journal, editorial, 328(777).

5. Bui, D. T., Pradhan, B., Lofman, O., Revhaug, I., & Oystein, B. D. (2012). Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models. CATENA, 96, 28–40.

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