By Pedro A. Villarreal, on behalf of the editors*
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Perhaps there is some Utopia where scientific research could immediately provide us all the accurate data on a novel disease´s severity and fatality rate. No doubt some (although not everyone) believe that such an ideal world would include mathematical models that could accurately predict both the disease´s pattern, as well as the effectiveness of the array of medical and non-medical tools to confront it. In this imaginary reality, data could tell us exactly to what extent restrictive public health measures are necessary in a given society to limit the spread of a pathogen, and it would be shared without constraints across the globe. Moreover, in this mythical world, there would be no distance between research and its application, as policymakers would simply need to draw from existing information to “make the right call.” Failsafe mechanisms would be in place to avoid the temptation of either altering scientific data, or using it for partisan motives. And, needless to say, in an ideal world, both research and the products of scientific innovation, including diagnostics, therapeutics and vaccines, would be available to everyone, globally, on the basis of need rather than ability to pay.
No such world is possible because science does not work that way. However, the broken world in which we find ourselves underscores the central imperative of reflecting on how lawmaking can be deployed to advance scientific innovation and equity.