Public Health

From GRASS-Wiki
Revision as of 20:02, 15 December 2011 by Neteler (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Emergence and spread of infectious diseases in a changing environment require the development of new methodologies and tools for risk assessment, early warning and policy making. GIS modelling is routinely used to perform risk assessment for the mitigation of these diseases.

  • extraction of ecological indicators from high temporal resolution satellite data time series (more)
  • Disease Surveillance
  • Calculation of disease incident rate
  • Predictive models

See also

  • Neteler, M., Roiz, D., Rocchini, D., Castellani, C. and Rizzoli, A. (2011). Terra and Aqua satellites track tiger mosquito invasion: modeling the potential distribution of Aedes albopictus in north-eastern Italy. International Journal of Health Geographics, 10:49. (PDF)
  • Roiz D., Neteler M., Castellani C., Arnoldi D., Rizzoli A. (2011). Climatic factors driving invasion of the tiger mosquito (Aedes albopictus) into new areas of Trentino, Northern Italy. PLoS ONE. 6(4): e14800. (PDF)
  • Neteler, M., 2010. Spatio-temporal reconstruction of satellite-based temperature maps and their application to the prediction of tick and mosquito disease vector distribution in Northern Italy. PhD thesis, Leibniz University of Hannover, Germany. 145 pp. [Book]
  • Carpi G., Cagnacci F., Neteler M., Rizzoli A, 2008: Tick infestation on roe deer in relation to geographic and remotely-sensed climatic variables in a tick-borne encephalitis endemic area. Epidemiology and Infection, 136: 1416-1424. [ PubMed ]
  • A. Rizzoli, M. Neteler, R. Rosà, W. Versini, A. Cristofolini, M. Bregoli, A. Buckley, and E.A. Gould, 2007: Early detection of TBEv spatial distribution and activity in the Province of Trento assessed using serological and remotely-sensed climatic data. Geospatial Health, 1(2), pp. 169-176. (IF 2008: 1.472) [ PubMed | PDF ]