PubMed · 11785459
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L L Weiss. 2001. Web Watch.. https://doi.org/10.1089/107632701753213228
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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.
A novel method is proposed for rapid identification of viruses and other organisms that show a low number of biomarkers, based on the construction of databases of organism-specific tryptic peptide masses. The peptide products of any protease that cuts at specific residues can be accommodated. Experimentally, a sample of intact virus, e.g., one collected from the atmosphere, is digested with a selective protease for a short time, and the digestion products are analyzed by MALDI-TOF mass spectrometry without fractionation or purification. In the present proof of concept, the Sindbis virus AR 339 was identified by using the masses of observed tryptic peptide products to query a database composed of tryptic peptide masses generated in silico for six viruses whose genomes have been sequenced. Two algorithms were tested for identification--a direct score-ranking algorithm and an algorithm that evaluates the probability of random matching. The Sindbis virus was unambiguously identified by either approach. The influence of factors such as experimental mass accuracy, number of missed cleavages, and database size on the identification algorithms has also been evaluated, with the objective of extending the approach to other microorganisms.
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