Studying Malaria Epidemic for Vulnerability Zones: Multi-Criteria Approach of Geospatial Tools

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"Studying Malaria Epidemic for Vulnerability Zones: Multi-Criteria Approach of Geospatial Tools"
written by Firoz Ahmad, Laxmi Goparaju, Abdul Qayum,
published by Journal of Geoscience and Environment Protection, Vol.5 No.5, 2017

has been cited by the following article(s):

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[1]	Evaluation of Vulnerability Status of the Infection Risk to COVID-19 Using Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA): A Case …
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[2]	Spatio-temporal modelling of malaria mortality in India from 2004 to 2013 from the Million Death Study
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[3]	Bayesian spatio-temporal modelling and mapping of malaria and anaemia among children between 0 and 59 months in Nigeria
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[4]	Enterprise geospatial database develop coronavirus disease (Covid-19)
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[5]	ASSESSMENT OF CHIKUNGUNYA FEVER (CHIKF) RISK AREAS IN THE SOUTH OF THAILAND BASED ON ENVIRONMENTAL, SOCIO-ECONOMIC AND …
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[6]	Geospatial Analysis of Malaria Prevalence among Children Under Five Years in Jigawa State, North West, Nigeria
	2022

[7]	Modelling Malaria Vulnerability Hotspot by Using Geospatial Techniques: The case of Kindo Koysha Woreda, Wolaita Zone, Ethiopia
	2021

[8]	Application of spatial multicriteria decision analysis in healthcare: Identifying drivers and triggers of infectious disease outbreaks using ensemble learning
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[9]	Vulnerability Assessing Contagion Risk of Covid-19 Using Geographic Information Systems and Multi-Criteria Decision Analysis: Case Study Chetumal, México
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[10]	Review of Geospatial Technology for Infectious Disease Surveillance: Use Case on COVID-19
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[11]	Malaria Hazard and Risk Analysis Using GIS and Remote Sensing in Korahey Zone of Somali Regional State, Eastern Ethiopia
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[12]	CONTRIBUTIONS OF GEOSPATIAL TECHNOLOGY IN FIGHTING COVID-19
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[13]	Spatial susceptibility analysis of vector-borne diseases in KMC using geospatial technique and MCDM approach
	2019

[14]	Analysing water-borne diseases susceptibility in Kolkata Municipal Corporation using WQI and GIS based Kriging interpolation
	GeoJournal, 2019

[15]	Mapping of mosquito-borne diseases in Kolkata Municipal Corporation using GIS and AHP based decision making approach
	Spatial Information Research, 2019

[16]	Wild life habitat suitability and conservation hotspot mapping: Remote Sensing and GIS based decision support system
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[17]	Remote Sensing and Geographic Information System based Agroforestry Suitability Mapping and Area Identification in Part of Jharkhand
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[18]	Remote sensing and geographic information system based agroforestry suitability mapping and area identification in part of Jharkhand.
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[19]	Geospatial approach for agroforestry suitability mapping: To enhance livelihood and reduce poverty, FAO based documented procedure (case study of …
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[20]	Land evaluation in terms of agroforestry suitability, an approach to improve livelihood and reduce poverty: a FAO based methodology by geospatial solution: a …
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[21]	Agroforestry suitability analysis based upon nutrient availability mapping: a GIS based suitability mapping
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[22]	Land Evaluation in terms of Agroforestry Suitability, an Approach to Improve Livelihood and Reduce Poverty: A FAO based Methodology by Geospatial …
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[23]	Geospatial approach for agroforestry suitability mapping: To enhance livelihood and reduce poverty, FAO based documented procedure (case study of Dumka …
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[24]	Soil and Water Conservation Prioritization Using Geospatial Technology–a Case Study of Part of Subarnarekha Basin, Jharkhand, India
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[25]	GOVERNMENT AREA, KANO STATE, NIGERIA

[1]	Advanced Systems for Environmental Monitoring, IoT and the application of Artificial Intelligence Studies in Big Data, 2024 DOI:10.1007/978-3-031-50860-8_14

[2]	Spatio-temporal modelling of malaria mortality in India from 2004 to 2013 from the Million Death Study Malaria Journal, 2022 DOI:10.1186/s12936-022-04112-x

[3]	Application of spatial multicriteria decision analysis in healthcare: Identifying drivers and triggers of infectious disease outbreaks using ensemble learning Journal of Multi-Criteria Decision Analysis, 2022 DOI:10.1002/mcda.1732

[4]	Evaluation of Vulnerability Status of the Infection Risk to COVID-19 Using Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA): A Case Study of Addis Ababa City, Ethiopia International Journal of Environmental Research and Public Health, 2022 DOI:10.3390/ijerph19137811

[5]	Bayesian spatio-temporal modelling and mapping of malaria and anaemia among children between 0 and 59 months in Nigeria Malaria Journal, 2022 DOI:10.1186/s12936-022-04319-y

[6]	Application of spatial multicriteria decision analysis in healthcare: Identifying drivers and triggers of infectious disease outbreaks using ensemble learning Journal of Multi-Criteria Decision Analysis, 2022 DOI:10.1002/mcda.1732

[7]	Review of Geospatial Technology for Infectious Disease Surveillance: Use Case on COVID-19 Journal of the Indian Society of Remote Sensing, 2020 DOI:10.1007/s12524-020-01140-5

[8]	Mapping of mosquito-borne diseases in Kolkata Municipal Corporation using GIS and AHP based decision making approach Spatial Information Research, 2019 DOI:10.1007/s41324-019-00242-8

[9]	Spatial susceptibility analysis of vector-borne diseases in KMC using geospatial technique and MCDM approach Modeling Earth Systems and Environment, 2019 DOI:10.1007/s40808-019-00586-y

[10]	Analysing water-borne diseases susceptibility in Kolkata Municipal Corporation using WQI and GIS based Kriging interpolation GeoJournal, 2019 DOI:10.1007/s10708-019-10015-3

[11]	Geospatial Approach for Agroforestry Suitability Mapping: To Enhance Livelihood and Reduce Poverty, FAO based Documented Procedure (Case Study of Dumka District, Jharkhand, India) Biosciences, Biotechnology Research Asia, 2017 DOI:10.13005/bbra/2491

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