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      Spatial targeted vector control in the highlands of Burundi and its impact on malaria transmission

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          Abstract

          Background

          Prevention of malaria epidemics is a priority for African countries. The 2000 malaria epidemic in Burundi prompted the government to implement measures for preventing future outbreaks. Case management with artemisinin-based combination therapy and malaria surveillance were nationally improved. A vector control programme was initiated in one of the most affected highland provinces. The focal distribution of malaria vectors in the highlands was the starting point for designing a targeted vector control strategy. The objective of this study was to present the results of this strategy on malaria transmission in an African highland region.

          Methods

          In Karuzi, in 2002–2005, vector control activities combining indoor residual spraying and long-lasting insecticidal nets were implemented. The interventions were done before the expected malaria transmission period and targeted the valleys between hills, with the expectation that this would also protect the populations living at higher altitudes. The impact on the Anopheles population and on malaria transmission was determined by nine cross-sectional surveys carried out at regular intervals throughout the study period.

          Results

          Anopheles gambiae s.l. and Anopheles funestus represented 95% of the collected anopheline species. In the valleys, where the vector control activities were implemented, Anopheles density was reduced by 82% (95% CI: 69–90). Similarly, transmission was decreased by 90% (95% CI: 63%–97%, p = 0.001). In the sprayed valleys, Anopheles density was further reduced by 79.5% (95% CI: 51.7–91.3, p < 0.001) in the houses with nets as compared to houses without them. No significant impact on vector density and malaria transmission was observed in the hill tops. However, the intervention focused on the high risk areas near the valley floor, where 93% of the vectors are found and 90% of the transmission occurs.

          Conclusion

          Spatial targeted vector control effectively reduced Anopheles density and transmission in this highland district. Bed nets have an additional effect on Anopheles density though this did not translate in an additional impact on transmission. Though no impact was observed in the hilltops, the programme successfully covered the areas most at risk. Such a targeted strategy could prevent the emergence and spread of an epidemic from these high risk foci.

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          Most cited references31

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          Identification of single specimens of the Anopheles gambiae complex by the polymerase chain reaction.

          A ribosomal DNA-polymerase chain reaction (PCR) method has been developed for species identification of individuals of the five most widespread members of the Anopheles gambiae complex, a group of morphologically indistinguishable sibling mosquito species that includes the major vectors of malaria in Africa. The method, which is based on species-specific nucleotide sequences in the ribosomal DNA intergenic spacers, may be used to identify both species and interspecies hybrids, regardless of life stage, using either extracted DNA or fragments of a specimen. Intact portions of a mosquito as small as an egg or the segment of one leg may be placed directly into the PCR mixture for amplification and analysis. The method uses a cocktail of five 20-base oligonucleotides to identify An. gambiae, An. arabiensis, An. quadriannnulatus, and either An. melas in western Africa or An. melas in eastern and southern Africa.
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            Malaria early warnings based on seasonal climate forecasts from multi-model ensembles.

            The control of epidemic malaria is a priority for the international health community and specific targets for the early detection and effective control of epidemics have been agreed. Interannual climate variability is an important determinant of epidemics in parts of Africa where climate drives both mosquito vector dynamics and parasite development rates. Hence, skilful seasonal climate forecasts may provide early warning of changes of risk in epidemic-prone regions. Here we discuss the development of a system to forecast probabilities of anomalously high and low malaria incidence with dynamically based, seasonal-timescale, multi-model ensemble predictions of climate, using leading global coupled ocean-atmosphere climate models developed in Europe. This forecast system is successfully applied to the prediction of malaria risk in Botswana, where links between malaria and climate variability are well established, adding up to four months lead time over malaria warnings issued with observed precipitation and having a comparably high level of probabilistic prediction skill. In years in which the forecast probability distribution is different from that of climatology, malaria decision-makers can use this information for improved resource allocation.
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              Comparative testing of monoclonal antibodies against Plasmodium falciparum sporozoites for ELISA development.

              Ten monoclonal antibodies developed against Plasmodium falciparum sporozoites at four institutions were evaluated for use in an enzyme-linked immunosorbent assay (ELISA). Four of the antibodies were eliminated because of their low sensitivity or requirement for high concentrations of capture antibody, while an additional four were rejected because they exhibited cross-reactivity with P. berghei sporozoites. Of the two remaining monoclonal antibodies, that designated 2A10 had the highest sensitivity, a requirement for lower concentrations of capture antibody, and had been tested successfully against sporozoites from a wider range of geographical areas than the others. Use of this monoclonal antibody in a standardized ELISA method gave a test ten times more sensitive than previously reported for P. falciparum sporozoites and its detection limit was less than 100 sporozoites per mosquito.
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                Author and article information

                Journal
                Malar J
                Malaria Journal
                BioMed Central
                1475-2875
                2007
                3 December 2007
                : 6
                : 158
                Affiliations
                [1 ]Department of Parasitology, Prince Leopold Institute of Tropical Medicine, Nationalestraat 155, B-2000 Antwerp, Belgium
                [2 ]Department of Animal Health, Prince Leopold Institute of Tropical Medicine, Nationalestraat 155, B-2000 Antwerp, Belgium
                [3 ]Medical Department, Médecins Sans Frontières Belgium, 94 rue Dupré, Brussels, Belgium
                [4 ]Programme de Lutte contre les Maladies Transmissibles et Carentielles, Ministry of Health, Bujumbura, Burundi
                [5 ]Department of Biomedical Sciences, Faculty of Pharmaceutical, Veterinary and Biomedical Sciences, University of Antwerp, Universiteitplein 1, B-2610, Belgium
                Article
                1475-2875-6-158
                10.1186/1475-2875-6-158
                2217530
                18053166
                f6c46fd2-b17d-48c2-8c6f-a0a6b62c351d
                Copyright © 2007 Protopopoff et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 July 2007
                : 3 December 2007
                Categories
                Research

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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