Mathematical models provide the essential basis of rational research and development strategies in malaria, informing the choice of which technologies to target, which deployment strategies to consider, and which populations to focus on. The Internet and remote sensing technologies also enable assembly of ever more relevant field data. Together with supercomputing technology, this has made available timely descriptions of the geography of malaria transmission and disease across the world and made it possible for policy and planning to be informed by detailed simulations of the potential impact of intervention programs. These information technology advances do not replace the basic understanding of the dynamics of malaria transmission that should be embedded in the thinking of anyone planning malaria interventions. The appropriate use of modeling may determine whether we are living in an era of hubris or indeed in an age of eradication.
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Abstract We present an analytic study to support the understanding of collapsing of glass tubes released by local heating and driven by th...
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We first prove Mazur’s lemma in a random locally convex module endowed with the locally -convex topology. Then, we establish the embedding t...
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Background Cigarette smoking has been associated with diminished vasodilatory function in the airway circulation. It is possible that cigar...
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