Jawata A. Saba and Kevin D. Ash’s research article, Quantifying uncertainty due to sampling error in a social vulnerability index: A Monte Carlo approach, for PLOS, takes a wide look at the many indices used to assess a community’s vulnerability to environmental hazards.
Through this research they found that most indices, including the CDC’s Social Vulnerability Index, “rely on deterministic scores that do not account for uncertainty from sampling error in American Community Survey (ACS) data.”
Saba and Ash then propose a new approach which takes sampling variabilities and inconsistencies directly into the index calculations, producing “uncertainty aware composite vulnerability estimates.”
Read on to learn more.
Source: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0354333
