Sri Lanka Malaria Maps
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* Corresponding author: Olivier JT Briët o.briet@cgiar.org
Malaria Journal 2003, 2:22 doi:10.1186/1475-2875-2-22
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BioMed Central: 10 citations
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Sayantani Roy, Ram Sarkar, Somdatta Sinha Malaria Journal 2011, 10:301 (14 October 2011) Elucidation of the relationships between malaria incidence and climatic and non-climatic factors in a region is essential for understanding the causative factors of disease dissemination and design of control strategies. The methodology described promises to provide reliable forecast of malaria incidence across varying environmental conditions
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Rupika S Rajakaruna, Michael Alifrangis, Priyanie H Amerasinghe, Flemming Konradsen Malaria Journal 2010, 9:25 (20 January 2010) This article is part of a collection on Towards malaria... An improved method for simultaneous detection of both P. falciparum and P. vivax. The authors then applied the method and outlined a strategy for sampling a population where malaria is now rare to assess the extent of the silent pool of malaria infected people. Both the method and the strategy are key elements of surveillance in the regions where malaria is at the “pre-elimination” stage.
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Ivo Mueller, Simone Widmer, Daniela Michel, Seri Maraga, David T McNamara, Benson Kiniboro, Albert Sie, Thomas A Smith, Peter A Zimmerman Malaria Journal 2009, 8:41 (11 March 2009) The paper compares prevalence estimates based on light microscopy and on a PCR-based assay in 15 villages in Papua New Guinea. They compared the differences in prevalence estimates by species (the four main Plasmodium species are present) an drew important information on age stratification, bed net coverage and usage, level of education and socio-economic status to explain some of the differences observed and describe important trends.
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Temporal correlation between malaria and rainfall in Sri Lanka Olivier JT Briët, Penelope Vounatsou, Dissanayake M Gunawardena, Gawrie NL Galappaththy, Priyanie H Amerasinghe Malaria Journal 2008, 7:77 (6 May 2008) The paper looks at the relationship between rainfall and malaria incidence in Sri Lanka, allowing for spatial variability. The research findings indicate that there is little to be gained from the use of rainfall information in malaria control decision-making because of the relative low correlations observed.
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Models for short term malaria prediction in Sri Lanka Olivier JT Briët, Penelope Vounatsou, Dissanayake M Gunawardena, Gawrie NL Galappaththy, Priyanie H Amerasinghe Malaria Journal 2008, 7:76 (6 May 2008) A solid contribution towards the development of early warning systems for malaria using a forecasting system based on epidemiological and rainfall data. The difficulties of establishing a forecasting system in a country where there have been dramatic swings in incidence rates over the last century is acknowledged and the authors have taken a pragmatic approach to testing district based forecasting across the country.
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Mette L Schousboe, Rupika S Rajakaruna, Ali Salanti, Hapuarachchige C Hapuarachchi, Gawrie NL Galappaththy, Ib C Bygbjerg, Priyanie H Amerasinghe, Flemming Konradsen, Michael Alifrangis Malaria Journal 2007, 6:28 (9 March 2007) Sulphadoxine/pyrimethamine is rarely used in Sri Lanka and the unexpected high frequency and diversity of Pvdhfr mutations indicates that emergence of drug resistant parasites can occur despite a low level of SP drug pressure
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Assembling a global database of malaria parasite prevalence for the Malaria Atlas Project Carlos A Guerra, Simon I Hay, Lorena S Lucioparedes, Priscilla W Gikandi, Andrew J Tatem, Abdisalan M Noor, Robert W Snow Malaria Journal 2007, 6:17 (16 February 2007) This database will help refine maps of the global spatial limits of malaria and be the foundation for the development of global malaria endemicity models as part of the Malaria Atlas Project. A widespread application of these maps is envisaged.
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Malaria in Sri Lanka: one year post-tsunami Olivier JT Briët, Gawrie NL Galappaththy, Priyanie H Amerasinghe, Flemming Konradsen Malaria Journal 2006, 5:42 (15 May 2006) One year ago, the authors of this article reported on the malaria situation in Sri Lanka prior to the tsunami that hit on 26 December 2004 and estimated the likelihood of a post-tsunami malaria outbreak to be low. Here, the authors comment on the international tsunami relief operations and the fact that internationally-donated antimalarials were either redundant or did not comply with national drug policy. As had been predicted, malaria incidence had actually decreased in 2005.
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Olivier JT Briët, Gawrie NL Galappaththy, Flemming Konradsen, Priyanie H Amerasinghe, Felix P Amerasinghe Malaria Journal 2005, 4:8 (27 January 2005) Sri Lankan malariologists give an authoritative view on the true risks of malaria epidemics in the country following the recent tsunami.
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Judith A Omumbo, Simon I Hay, Carlos A Guerra, Robert W Snow Malaria Journal 2004, 3:17 (17 June 2004) This paper sets out to demonstrate the validity of the MARA malaria risk map, as a suitable estimate of malaria endemicity in Kenya. This work is important because this risk map is used more and more to estimate the burden of malaria disease in Africa.
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