⚠ Data for the years 2021 & 2022 are preliminary. Due to the impact of the COVID-19 pandemic, data for the year 2020 should be interpreted with caution.
COVID-19 disruptions in HIV diagnosis, care and reporting of deaths during 2020 have also made incidence, prevalence, and knowledge of status estimates derived from a CD4-based model, unreliable. Therefore, a 2020 edition of the HIV Surveillance Supplemental Report “Estimated HIV Incidence and Prevalence in the U.S.”, which provides data on estimated incidence, prevalence, and knowledge of status in the U.S., was not published by CDC.

Show Similar Jurisdiction Functionality | AHEAD

Data Methods

Learn more about the data that informs AHEAD.

 Show Similar Jurisdiction Functionality

The "Show Similar Jurisdiction” functionality is based on a nearest neighbor data analysis - a distance matrix computer science algorithm which identifies the three most similar EHE counties/areas based on a given jurisdiction’s EHE indicator data points. The purpose of using a nearest neighbor analysis is to examine progress across all six indicators and find the data points (or other jurisdictions) that are quantitatively most similar to the selected jurisdiction. In a distance matrix, jurisdictions are considered nearest neighbors not based on physical proximity, but in terms of an EHE progress profile. This EHE progress profile scales and weighs the data in such a way that no single indicator becomes disproportionately important; similar jurisdictions may be different along some indicators but will not be significantly different along all of them.

These similar jurisdictions may be interested in communicating with and exploring similar strategies as these similar jurisdictions in order to better achieve EHE goals.