Spatial prediction of malaria prevalence in an endemic area of Bangladesh

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Spatial prediction of malaria prevalence in an endemic area of Bangladesh is …
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scholarly articleQ13442814

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P6179Dimensions Publication ID1024855594
P356DOI10.1186/1475-2875-9-120
P932PMC publication ID2878303
P698PubMed publication ID20459690
P5875ResearchGate publication ID44589448

P50authorArchie ClementsQ56561190
Rashidul HaqueQ62091227
Gregory E GlassQ101542163
Ubydul HaqueQ102332944
Taro YamamotoQ104744364
P2093author name stringAkramul Islam
Ricardo J Soares Magalhães
Syed Masud Ahmed
Heidi L Reid
P2860cites workThe global distribution of clinical episodes of Plasmodium falciparum malariaQ24599466
Mapping the probability of schistosomiasis and associated uncertainty, West AfricaQ30485197
Spatial analysis and mapping of malaria risk in Malawi using point-referenced prevalence of infection dataQ31061695
Malaria prevalence in endemic districts of BangladeshQ33496759
Bayesian geostatistical modeling of Malaria Indicator Survey data in AngolaQ33547344
Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in TanzaniaQ36387319
Spatial prediction of Plasmodium falciparum prevalence in SomaliaQ36865727
Knowledge on the transmission, prevention and treatment of malaria among two endemic populations of Bangladesh and their health-seeking behaviourQ37311584
Spatial malaria epidemiology in Bangladeshi highlandsQ37321357
Application of spatial technology in malaria research & control: some new insightsQ37606983
P275copyright licenseCreative Commons Attribution 2.0 GenericQ19125117
P6216copyright statuscopyrightedQ50423863
P921main subjectBangladeshQ902
malariaQ12156
P304page(s)120
P577publication date2010-05-09
P1433published inMalaria JournalQ15749954
P1476titleSpatial prediction of malaria prevalence in an endemic area of Bangladesh
P478volume9