Application of spatial technology in malaria research & control: some new insights.

Geographical information System (GIS) has emerged as the core of the spatial technology which integrates wide range of dataset available from different sources including Remote Sensing (RS) and Global Positioning System (GPS). Literature published during the decade (1998-2007) has been compiled and grouped into six categories according to the usage of the technology in malaria epidemiology. Different GIS modules like spatial data sources, mapping and geo-processing tools, distance calculation, digital elevation model (DEM), buffer zone and geo-statistical analysis have been investigated in detail, illustrated with examples as per the derived results. These GIS tools have contributed immensely in understanding the epidemiological processes of malaria and examples drawn have shown that GIS is now widely used for research and decision making in malaria control. Statistical data analysis currently is the most consistent and established set of tools to analyze spatial datasets. The desired future development of GIS is in line with the utilization of geo-statistical tools which combined with high quality data has capability to provide new insight into malaria epidemiology and the complexity of its transmission potential in endemic areas.

[1]  Andrew J Tatem,et al.  The global distribution and population at risk of malaria: past, present, and future. , 2004, The Lancet. Infectious diseases.

[2]  S. Hay,et al.  The global distribution of clinical episodes of Plasmodium falciparum malaria , 2005, Nature.

[3]  C. Corvalan,et al.  How much global ill health is attributable to environmental factors? , 1999, Epidemiology.

[4]  M. Kolczak,et al.  Community-wide effects of permethrin-treated bed nets on child mortality and malaria morbidity in western Kenya. , 2003, The American journal of tropical medicine and hygiene.

[5]  K. Linthicum,et al.  Identification and characterization of larval and adult anopheline mosquito habitats in the Republic of Korea: potential use of remotely sensed data to estimate mosquito distributions , 2005, International journal of health geographics.

[6]  Grant Dorsey,et al.  Longitudinal study of urban malaria in a cohort of Ugandan children: description of study site, census and recruitment , 2006, Malaria Journal.

[7]  Charles E Taylor,et al.  Effect of rice cultivation patterns on malaria vector abundance in rice-growing villages in Mali. , 2007, The American journal of tropical medicine and hygiene.

[8]  F. Binka,et al.  Impact of spatial distribution of permethrin-impregnated bed nets on child mortality in rural northern Ghana. , 1998, The American journal of tropical medicine and hygiene.

[9]  Grant Dorsey,et al.  Short report: proximity to mosquito breeding sites as a risk factor for clinical malaria episodes in an urban cohort of Ugandan children. , 2003, The American journal of tropical medicine and hygiene.

[10]  John C. Carlson,et al.  Field assessments in western Kenya link malaria vectors to environmentally disturbed habitats during the dry season , 2004, BMC public health.

[11]  N. Khim,et al.  Large-scale malaria survey in Cambodia: Novel insights on species distribution and risk factors , 2007, Malaria Journal.

[12]  L. Leonardo,et al.  A study of the environmental determinants of malaria and schistosomiasis in the Philippines using Remote Sensing and Geographic Information Systems. , 2005, Parassitologia.

[13]  Jetsumon Sattabongkot,et al.  Spatio-temporal distribution of Plasmodium falciparum and p. Vivax malaria in Thailand. , 2005, The American journal of tropical medicine and hygiene.

[14]  J. Cano,et al.  Spatial variability in the density, distribution and vectorial capacity of anopheline species in a high transmission village (Equatorial Guinea) , 2006, Malaria Journal.

[15]  Immo Kleinschmidt,et al.  Geographical disparities in core population coverage indicators for roll back malaria in Malawi , 2007, International journal for equity in health.

[16]  Alan J Magill,et al.  Epidemiology and spatial analysis of malaria in the Northern Peruvian Amazon. , 2006, The American journal of tropical medicine and hygiene.

[17]  Peter M Atkinson,et al.  Improving Imperfect Data from Health Management Information Systems in Africa Using Space–Time Geostatistics , 2006, PLoS medicine.

[18]  Penelope Vounatsou,et al.  Rapid urban malaria appraisal (RUMA) I: Epidemiology of urban malaria in Ouagadougou , 2005, Malaria Journal.

[19]  M. Craig,et al.  Distribution of African malaria mosquitoes belonging to the Anopheles gambiae complex. , 2000, Parasitology today.

[20]  Ali N. Hassan,et al.  Remote sensing as a tool for mapping mosquito breeding habitats and associated health risk to assist control efforts and development plans: a case study in Wadi El Natroun, Egypt. , 2004, Journal of the Egyptian Society of Parasitology.

[21]  Gang-Jun Liu,et al.  Use of GIS-based spatial modeling approach to characterize the spatial patterns of malaria mosquito vector breeding habitats in northwestern Thailand. , 2003, The Southeast Asian journal of tropical medicine and public health.

[22]  S I Hay,et al.  Defining equity in physical access to clinical services using geographical information systems as part of malaria planning and monitoring in Kenya , 2003, Tropical medicine & international health : TM & IH.

[23]  Flemming Konradsen,et al.  Towards a risk map of malaria for Sri Lanka: the importance of house location relative to vector breeding sites. , 2003, International journal of epidemiology.

[24]  Flemming Konradsen,et al.  Maps of the Sri Lanka malaria situation preceding the tsunami and key aspects to be considered in the emergency phase and beyond , 2005, Malaria Journal.

[25]  Pierre Defourny,et al.  The Anopheles dirus complex: spatial distribution and environmental drivers , 2007, Malaria Journal.

[26]  Lisa A Ronald,et al.  Malaria and anaemia among children in two communities of Kumasi, Ghana: a cross-sectional survey , 2006, Malaria Journal.

[27]  Flemming Konradsen,et al.  Strong association between house characteristics and malaria vectors in Sri Lanka. , 2003, The American journal of tropical medicine and hygiene.

[28]  Simon I Hay,et al.  Mapping the global extent of malaria in 2005. , 2006, Trends in parasitology.

[29]  I Kleinschmidt,et al.  A spatial statistical approach to malaria mapping. , 2000, International journal of epidemiology.

[30]  M Takagi,et al.  Analysis of relationship between Anopheles subpictus larval densities and environmental parameters using Remote Sensing (RS), a Global Positioning System (GPS) and a Geographic Information System (GIS). , 2000, The Kobe journal of medical sciences.

[31]  Chandy C John,et al.  Malaria hotspot areas in a highland Kenya site are consistent in epidemic and non-epidemic years and are associated with ecological factors , 2006, Malaria Journal.

[32]  David M Claborn,et al.  A cost comparison of two malaria control methods in Kyunggi Province, Republic of Korea, using remote sensing and geographic information systems. , 2002, The American journal of tropical medicine and hygiene.

[33]  Guiyun Yan,et al.  New records of Anopheles arabiensis breeding on the Mount Kenya highlands indicate indigenous malaria transmission , 2006, Malaria Journal.

[34]  P G Smith,et al.  An analysis of the geographical distribution of severe malaria in children in Kilifi District, Kenya. , 1998, International journal of epidemiology.

[35]  Stefan Dongus,et al.  Participatory mapping of target areas to enable operational larval source management to suppress malaria vector mosquitoes in Dar es Salaam, Tanzania , 2007, International journal of health geographics.

[36]  A. Githeko,et al.  Landscape determinants and remote sensing of anopheline mosquito larval habitats in the western Kenya highlands , 2006, Malaria Journal.

[37]  A. Githeko,et al.  Spatial distribution of anopheline larval habitats in Western Kenyan highlands: effects of land cover types and topography. , 2005, The American journal of tropical medicine and hygiene.

[38]  B. Sharp,et al.  Using a geographical information system to plan a malaria control programme in South Africa. , 2000, Bulletin of the World Health Organization.

[39]  D. Gunawardena,et al.  Sri Lanka Malaria Maps , 2003, Malaria Journal.

[40]  D. Chadee,et al.  Spatial and temporal patterns of imported malaria cases and local transmission in Trinidad. , 1999, The American journal of tropical medicine and hygiene.

[41]  J. Sachs,et al.  A global index representing the stability of malaria transmission. , 2004, The American journal of tropical medicine and hygiene.

[42]  T. Bousema,et al.  Spatial and temporal variation in malaria transmission in a low endemicity area in northern Tanzania , 2006, Malaria Journal.

[43]  Peter Zeilhofer,et al.  Habitat suitability mapping of Anopheles darlingi in the surroundings of the Manso hydropower plant reservoir, Mato Grosso, Central Brazil , 2007, International Journal of Health Geographics.

[44]  Abdul V. Roudsari,et al.  Health Geomatics: An Enabling Suite of Technologies in Health and Healthcare , 2001, J. Biomed. Informatics.

[45]  S W Lindsay,et al.  Effect of topography on the risk of malaria infection in the Usambara Mountains, Tanzania. , 2004, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[46]  R. Snow,et al.  Evidence for a mass community effect of insecticide-treated bednets on the incidence of malaria on the Kenyan coast. , 2000, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[47]  J. Beier,et al.  Spatial distribution and habitat characterization of anopheline mosquito larvae in Western Kenya. , 1999, The American journal of tropical medicine and hygiene.

[48]  Aruna Srivastava,et al.  GIS based malaria information management system for urban malaria scheme in India , 2003, Comput. Methods Programs Biomed..

[49]  S. Hay,et al.  The Malaria Atlas Project: Developing Global Maps of Malaria Risk , 2006, PLoS medicine.

[50]  I. Kleinschmidt,et al.  An empirical malaria distribution map for West Africa , 2001, Tropical medicine & international health : TM & IH.

[51]  G. Yan,et al.  Influence of host and larval habitat distribution on the abundance of African malaria vectors in western Kenya. , 2002, The American journal of tropical medicine and hygiene.

[52]  Shiv Mohan,et al.  Malaria epidemicity of Mewat region, District Gurgaon, Haryana, India: a GIS-based study , 2004 .

[53]  K. Mendis,et al.  Malaria risk factors in an endemic region of Sri Lanka, and the impact and cost implications of risk factor-based interventions. , 1998, The American journal of tropical medicine and hygiene.

[54]  J. Cox,et al.  Spatial clustering of malaria and associated risk factors during an epidemic in a highland area of western Kenya , 2004, Tropical medicine & international health : TM & IH.

[55]  I. Mueller,et al.  Host-dependent Anopheles flavirostris larval distribution reinforces the risk of malaria near water. , 2003, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[56]  S. Hay,et al.  Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharan Africa. , 2000, Advances in parasitology.

[57]  Lorenz von Seidlein,et al.  The malaria and typhoid fever burden in the slums of Kolkata, India: data from a prospective community-based study. , 2006, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[58]  David N Durrheim,et al.  Enhancing malaria control using a computerised management system in southern Africa , 2003, Malaria Journal.