Spatio-temporal analysis of the role of climate in inter-annual variation of malaria incidence in Zimbabwe
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* Corresponding author: Musawenkoi LH Mabaso mabasom@mrc.ac.za
International Journal of Health Geographics 2006, 5:20 doi:10.1186/1476-072X-5-20
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BioMed Central: 4 citations
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Kinley Wangdi, Pratap Singhasivanon, Tassanee Silawan, Saranath Lawpoolsri, Nicholas J White , Jaranit Kaewkungwal Malaria Journal 2010, 9:251 (3 September 2010) The ARIMA models of time-series analysis were useful in forecasting the number of cases in the endemic areas of Bhutan.
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Space-time variation of malaria incidence in Yunnan province, China Archie CA Clements, Adrian G Barnett, Zhang Cheng, Robert W Snow, Hom Zhou Malaria Journal 2009, 8:180 (31 July 2009) This study presents a space-time analysis of county-level malaria incidence for a large Province in China, a country that has traditionally been under-represented in the malaria epidemiology literature. A number of findings are likely to be of wide interest amongst the malaria epidemiology community, not least the simple presentation of robust maps of the contemporary spatial distribution of malaria risk.
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L Reilly, C Magkrioti, T Mduluza, DR Cavanagh, F Mutapi BMC Infectious Diseases 2008, 8:158 (17 November 2008) |
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Saket Pande, Michiel A Keyzer, Aminou Arouna, Ben GJS Sonneveld International Journal of Health Geographics 2008, 7:17 (23 April 2008) |