Locating irregularly shaped clusters of infection intensity
Submitted: 22 December 2014
Accepted: 22 December 2014
Published: 1 May 2010
Accepted: 22 December 2014
Abstract Views: 1010
PDF: 613
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario, Canada.
Department of Pathology, University of Cambridge, United Kingdom.
Division of Vector Borne Diseases, Ministry of Health, Nairobi, Kenya.
Kenya Medical Research Institute, Nairobi, Kenya.
Kenya Medical Research Institute, Nairobi, Kenya.
Division of Vector Borne Diseases, Ministry of Health, Nairobi, Kenya.
Kenya Medical Research Institute, Nairobi, Kenya.
DBL-Centre for Health Research and Development, Faculty of Life Science, University of Copenhagen, Copenhagen, Denmark.
Department of Pathology, University of Cambridge, United Kingdom.
How to Cite
Yiannakoulias, N., Wilson, S., Kariuki, H. C., Mwatha, J. K., Ouma, J. H., Muchiri, E., Kimani, G., Vennervald, B. J., & Dunne, D. W. (2010). Locating irregularly shaped clusters of infection intensity. Geospatial Health, 4(2), 191–200. https://doi.org/10.4081/gh.2010.200
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