A brief review of spatial analysis concepts and tools used for mapping, containment and risk modelling of infectious diseases and other illnesses
- 13 December 2013
- journal article
- review article
- Published by Cambridge University Press (CUP) in Parasitology
- Vol. 141 (5), 581-601
- https://doi.org/10.1017/s0031182013001972
Abstract
Fast response and decision making about containment, management, eradication and prevention of diseases, are increasingly important aspects of the work of public health officers and medical providers. Diseases and the agents causing them are spatially and temporally distributed, and effective countermeasures rely on methods that can timely locate the foci of infection, predict the distribution of illnesses and their causes, and evaluate the likelihood of epidemics. These methods require the use of large datasets from ecology, microbiology, health and environmental geography. Geodatabases integrating data from multiple sets of information are managed within the frame of geographic information systems (GIS). Many GIS software packages can be used with minimal training to query, map, analyse and interpret the data. In combination with other statistical or modelling software, predictive and spatio-temporal modelling can be carried out. This paper reviews some of the concepts and tools used in epidemiology and parasitology. The purpose of this review is to provide public health officers with the critical tools to decide about spatial analysis resources and the architecture for the prevention and surveillance systems best suited to their situations.Keywords
This publication has 102 references indexed in Scilit:
- Spatiotemporal mathematical modelling of mutations of the dhps gene in African Plasmodium falciparumMalaria Journal, 2013
- Geostatistical analysis of health data with different levels of spatial aggregationSpatial and Spatio-temporal Epidemiology, 2012
- Bayesian geostatistics in health cartography: the perspective of malariaTrends in Parasitology, 2011
- The Applications of Model-Based Geostatistics in Helminth Epidemiology and ControlAdvances in Parasitology, 2011
- Estimating the global distribution and disease burden of intestinal nematode infections: Adding up the numbers – A reviewInternational Journal for Parasitology, 2010
- Assessing North American influenza dynamics with a statistical SIRS modelSpatial and Spatio-temporal Epidemiology, 2010
- Combining Areal and Point Data in Geostatistical Interpolation: Applications to Soil Science and Medical GeographyMathematical Geosciences, 2010
- Combining area-based and individual-level data in the geostatistical mapping of late-stage cancer incidenceSpatial and Spatio-temporal Epidemiology, 2009
- Spatial heterogeneity of parasite co-infection: Determinants and geostatistical prediction at regional scalesInternational Journal for Parasitology, 2009
- Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East AfricaInternational Journal for Parasitology, 2008