April 24, 2020. Schulich School of Medicine and Dentistry highlights PLOS ONE study on radiation dose estimation and COVID19

Posted on April 24, 2020April 26, 2020 by Peter Rogan

Rogan PK, Mucaki EJ, Lu R, Shirley BC, Waller E, Knoll JHM (2020) Meeting radiation dosimetry capacity requirements of population-scale exposures by geostatistical sampling. PLoS ONE 15(4): e0232008. https://doi.org/10.1371/journal.pone.0232008

April 24, 2020. Assessing radiation exposure across a population by geolocation

Posted on April 24, 2020April 24, 2020 by Peter Rogan

We present a new approach for estimating exposures in radiation incidents or accidents using geolocated dosimetry data:

Rogan P, Mucaki E, Lu R, Shirley B, Waller E, and Knoll J. Meeting radiation dosimetry capacity requirements of population-scale exposures with geostatistical sampling, PLoS ONE 15(4): e0232008. [https://dx.doi.org/10.1371/journal.pone.0232008].

The MedRxiv version contains a Note Added in Proof describing how this method could be used for finding hotspots during the monitoring phase of the COVID19 pandemic. (https://www.medrxiv.org/content/10.1101/2020.04.08.20058446v1)

The article is Open Access and contains links to an online protocol and a data repository.