Analytical Hierarchy Process modeling for malaria risk zones in Vadodara district, Gujarat

6 citations as recorded by crossref.

1. Mapping and Modelling Malaria Risk Areas Using Climate, Socio-Demographic and Clinical Variables in Chimoio, Mozambique J. Ferrao et al. https://doi.org/10.3390/ijerph15040795
2. Mapping of mosquito-borne diseases in Kolkata Municipal Corporation using GIS and AHP based decision making approach S. Ali & A. Ahmad https://doi.org/10.1007/s41324-019-00242-8
3. Environmental determinants of anaemia and its spatial association with Mosquito-Borne disease vulnerability: a case of Eastern and North-Eastern India L. Bhutia & A. Chattopadhyay https://doi.org/10.1186/s12982-025-00756-7
4. Remote Sensing and Multi-Criteria Evaluation for Malaria Risk Mapping to Support Indoor Residual Spraying Prioritization in the Central Highlands of Madagascar H. Rakotoarison et al. https://doi.org/10.3390/rs12101585
5. A practical approach for geographic prioritization and targeting of insecticide-treated net distribution campaigns during public health emergencies and in resource-limited settings A. Young et al. https://doi.org/10.1186/s12936-021-04028-y
6. Knowledge, Awareness and Perception on Malaria in Tribal Regions of Vadodara District, Gujarat (India) B. Bhatt & J. Joshi https://doi.org/10.1177/0972063419868580