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Modelling malaria susceptibility using geographic information system · Peerford

Article · Journal · 2016

Modelling malaria susceptibility using geographic information system

Matthew Biniyam Kursah

GeoJournal

Closed access

Go to the publisher 10.1007/s10708-016-9732-0

Citations: 8from other works
Field-weighted impact: 0.461.00 is the world average for its field and year
Among its field: 69th percentileby citations, against works of its field and year
Authors: 1from 1 institution

Authors

1 author

Matthew Biniyam KursahFirst authorCorresponding
- University of Education, Winneba (GH)

Country

Ghana

Fields

A work can sit in several, each with a score

Data-Driven Disease SurveillanceTopic
Species Distribution and Climate ChangeTopic