Approach Offered to Cope with Lack of Data about H1N1 Flu
Uncertainty is a predictable feature of epidemics, but the current novel influenza A H1N1 pandemic has taken the data-deficit problem to an extreme. There are too many cases to count, acknowledged the World Health Organization (WHO) in June, as the number of people infected grew exponentially.
Yet every country needs good data to respond most effectively, said Marc Lipsitch, HSPH professor of epidemiology, whose viewpoint published in the August 12 online issue of the Lancet proposes an alternative to case-based surveillance.
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