Using a geographical information system to plan a malaria control programme in South Africa.

INTRODUCTION Sustainable control of malaria in sub-Saharan Africa is jeopardized by dwindling public health resources resulting from competing health priorities that include an overwhelming acquired immunodeficiency syndrome (AIDS) epidemic. In Mpumalanga province, South Africa, rational planning has historically been hampered by a case surveillance system for malaria that only provided estimates of risk at the magisterial district level (a subdivision of a province). METHODS To better map control programme activities to their geographical location, the malaria notification system was overhauled and a geographical information system implemented. The introduction of a simplified notification form used only for malaria and a carefully monitored notification system provided the good quality data necessary to support an effective geographical information system. RESULTS The geographical information system displays data on malaria cases at a village or town level and has proved valuable in stratifying malaria risk within those magisterial districts at highest risk, Barberton and Nkomazi. The conspicuous west-to-east gradient, in which the risk rises sharply towards the Mozambican border (relative risk = 4.12, 95% confidence interval = 3.88-4.46 when the malaria risk within 5 km of the border was compared with the remaining areas in these two districts), allowed development of a targeted approach to control. DISCUSSION The geographical information system for malaria was enormously valuable in enabling malaria risk at town and village level to be shown. Matching malaria control measures to specific strata of endemic malaria has provided the opportunity for more efficient malaria control in Mpumalanga province.

[1]  W. Takken,et al.  Model stimulations to estimate malaria risk under climate change. , 1996, Journal of medical entomology.

[2]  F F Nobre,et al.  GISEpi: a simple geographical information system to support public health surveillance and epidemiological investigations. , 1997, Computer methods and programs in biomedicine.

[3]  Paul Milligan,et al.  Bulletin of the World Health Organization , 2017 .

[4]  M Tanner,et al.  Mapping the densities of malaria vectors within a single village. , 1995, Acta tropica.

[5]  M C Thomson,et al.  Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results. , 1999, The American journal of tropical medicine and hygiene.

[6]  S Openshaw,et al.  Geographical information systems and tropical diseases. , 1996, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[7]  R. Snow,et al.  Environmental and entomological risk factors for the development of clinical malaria among children on the Kenyan coast. , 1998, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[8]  K. Thimasarn,et al.  Factors influencing malaria endemicity in Yunnan Province, PR China (analysis of spatial pattern by GIS). Geographical Information System. , 1998, The Southeast Asian journal of tropical medicine and public health.

[9]  J Rotmans,et al.  Potential impact of global climate change on malaria risk. , 1995, Environmental health perspectives.

[10]  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.

[11]  D. Durrheim,et al.  Community knowledge and perceptions about malaria and practices influencing malaria control in Mpumalanga Province, South Africa. , 2000, South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde.

[12]  R. Snow,et al.  The need for maps of transmission intensity to guide malaria control in Africa , 1996 .

[13]  R. Snow,et al.  Mapping malaria transmission intensity using geographical information systems (GIS): an example from Kenya. , 1998, Annals of tropical medicine and parasitology.

[14]  S. Thacker,et al.  The surveillance of infectious diseases. , 1983, JAMA.

[15]  Chris Newbold,et al.  Relation between severe malaria morbidity in children and level of Plasmodium falciparum transmission in Africa , 1997, The Lancet.

[16]  U. Kitron,et al.  Geographic information system in malaria surveillance: mosquito breeding and imported cases in Israel, 1992. , 1994, The American journal of tropical medicine and hygiene.

[17]  W. Takken,et al.  Model Simulations To Estimate Malaria Risk Under Climate Change , 1996 .

[18]  Towards a rural information system , 1995 .

[19]  U. Kitron,et al.  Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis. , 1998, Journal of medical entomology.

[20]  R. Snow,et al.  New insights into the epidemiology of malaria relevant for disease control. , 1998, British medical bulletin.

[21]  V. Sharma,et al.  Role of geographic information system in malaria control. , 1997, The Indian journal of medical research.

[22]  B. Sharp,et al.  Malaria in South Africa--the past, the present and selected implications for the future. , 1996, South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde.

[23]  N. L. Kalra,et al.  Development of a methodology for malariogenic stratification as a tool for malaria control. , 1990, The Journal of communicable diseases.

[24]  D R Roberts,et al.  Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission. , 1994, The American journal of tropical medicine and hygiene.

[25]  M Zwarenstein,et al.  The use of a geographical information system for hospital catchment area research in Natal/KwaZulu. , 1991, South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde.

[26]  Mapping malaria transmission intensity using geographical information systems (GIS): an example from Kenya. , 1998 .

[27]  B. Greenwood,et al.  The microepidemiology of malaria and its importance to malaria control. , 1989, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[28]  D. Durrheim,et al.  Accuracy of a rapid immunochromatographic card test for Plasmodium falciparum in a malaria control programme in South Africa. , 1998, Transactions of the Royal Society of Tropical Medicine and Hygiene.