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Malaria may kill far more people than we thought

Models suggest that malaria kills eight times as many adults in Africa as the World Health Organization estimates
(New Scientist 03.02.2012 kl. 01:01) Les saken >>




Saken inneholder følgende stikkord (sortert alfabetisk): (IHME) 000 00:01 1.2 1.3 1.8 03 8.1 379 413 655 2010 2012 Adult Africa Africa African Because Bob Cibulskis Compared Debora Evaluation February Geneva Global Health However IHME IHME's Institute It Journal Kenya Lancet Lim Lim MacKenzie Malaria Metrics Model Models Nairobi Organization Oxford's Programme Richard Seattle Snow Steve Studies Switzerland The These University Various WHO WHO's WHO's Washington We What World according adult adults adults advise ages agrees all almost among an analysis anchored and another answer applying are areas around as at author averaged based be because behaviour belief best better between blue-ribbon burden by can causing children claims cluster committee conclusion considers control convinced correlated counted countries create criticises data deaths deaths degrees derived diagnosed did die difference different difficult disease disease disputes do doctors down drivers drivers drugs eight else enough epidemiologist estimate estimate estimated estimates estimation everyone everywhere evidence experts fact factored far fever fighting first flawed for found given global good growth has have he head headquarters health high higher how immunity in increase innovative institute interpretation: into is issues it its kill killed kills know looked lot lower made major malaria malaria malarial many massive may meeting member million model modelling models more mosquito mostly nearly new not numbers obtain of official often old on only others outside over overcome part people places poor population predict predicted predictions prevent problem produce rainfall rarely real recent recorded reference: regions reliable report report research resistance rest result say saying says says selected set sets several severe short should show significant simpler simply single small so something staggering standard statistical statistics statistics stir stricken studies study suggest surprised surveillance surveys team techniques tested than that the there these this those though thought time times times to too tries twice uncertainty under underdiagnose underestimates understood unit used uses various vol we week week well were what which with worldwide years –

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