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Martin Kulldorff (born 1962) is a Swedish biostatistician.He was a professor of medicine at Harvard Medical School from 2003 until his dismissal in 2024. [2] [3] [4] He is a member of the US Food and Drug Administration's Drug Safety and Risk Management Advisory Committee and a former member of the Vaccine Safety Subgroup of the Advisory Committee on Immunization Practices at the Centers for ...
The Great Barrington Declaration is an open letter published in October 2020 in response to the COVID-19 pandemic and lockdowns. [1] [2] It claimed that COVID-19 lockdowns could be avoided via the fringe notion of "focused protection", by which those most at risk of dying from an infection could purportedly be kept safe while society otherwise took no steps to prevent infection.
Perhaps most importantly, he and two other academics — Dr. Martin Kulldorff, then a professor of medicine at Harvard University, and Dr. Sunetra Gupta, an epidemiologist at Oxford University ...
In October 2020, for example, three epidemiologists—Harvard's Martin Kulldorff, Oxford's Sunetra Gupta, and Stanford's Jay Bhattacharya—issued the Great Barrington Declaration, which ...
[5] [6] With Martin Kulldorff and Sunetra Gupta, he was a co-author in 2020 of the Great Barrington Declaration, which advocated lifting COVID-19 restrictions on lower-risk groups to develop herd immunity through widespread infection, while promoting the fringe notion that vulnerable people could be simultaneously protected from the virus.
Experts say that seeking widespread immunity in the manner the scientists prescribe could result in the deaths of hundreds of thousands or even millions more U.S. residents.
SaTScan was developed by a group of epidemiologists and statisticians led by Martin Kulldorff, a Swedish biostatistician professor of medicine at Harvard Medical School. [10] Version 1.0 of the software was first released in 1997 and has since become a widely used tool in the field of public health research and practice. [11]
In statistics, a scan statistic or window statistic is a problem relating to the clustering of randomly positioned points. An example of a typical problem is the maximum size of a cluster of points on a line or the longest series of successes recorded by a moving window of fixed length.