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Minneapolis Mpox Taskforce – providing resources for prevention and treatment of MPX in the Twin Cities — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Infectious Diseases →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
newworldseo.com ↗	66 match 1 shared topics	Shingles Symptoms, Treatment & Prevention Guide	en	infectious-diseases	robotsllmsaihumans	emailphone	none
raan.org ↗	65 match 1 shared topics	RAAN – Providing Care, Service, and Support	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	partial · 8
acsr1.com ↗	65 match 1 shared topics	AIDS and Cancer Specimen Resource \| Research in the field of HIV	en	infectious-diseases WordPress WooCommerce	robots llmsaihumans	emailphone	none
annaefowlkes.info ↗	64 match 1 shared topics	Speaker - Anna E. Fowlkes, HIV/AIDS Prevention Advocate and Spokesperson	en	infectious-diseases Weebly	robotsllmsaihumans	emailphone	none
blantyrepreventionstrategy.com ↗	63 match 1 shared topics	Home \| Blantyre Prevention Strategy	en	infectious-diseases Wix	robots llmsaihumans	emailphone	none
mdfirstline.org ↗	63 match 1 shared topics	Project Firstline – Maryland Department of Health	en	infectious-diseases WordPress	robotsllmsaihumans	email phone	none
theherpesprotocol.com ↗	63 match 1 shared topics	The Herpes Protocol \| Natural Herpes Cure & Holistic Treatment Plan For Herpes (2026 Cure) \| Deya	en	infectious-diseases	robotsllmsaihumans	emailphone	none
doomedinterventions.com ↗	63 match 1 shared topics	Doomed Interventions – The Failure of Global Responses to AIDS in Africa	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
canlyme.com ↗	63 match 1 shared topics	CanLyme \| Prevention, research, education, advocacy	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cdcnpin.org ↗	63 match 1 shared topics	Homepage \| National Prevention Information Network	en	infectious-diseases Drupal	robotsllmsaihumans	emailphone	none
tupelotogether.com ↗	63 match 1 shared topics	TUPELO TOGETHER \| COVID-19 Corona Virus resources Tupelo, Mississippi	United States~ en	infectious-diseases	robotsllmsaihumans	emailphone	none
bnabbeacon.blog ↗	63 match 1 shared topics	The bNAb Beacon – Guiding the search for an HIV cure	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ctoddbenow.net ↗	63 match 1 shared topics	The Magical Storybook of Professor Peacock – inspiring each other to greater understanding, compassion, love, peace and truth	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
ventilaid.org ↗	63 match 1 shared topics	Open-Source solutions - VentilAid	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
5secondruleshow.com ↗	63 match 1 shared topics	5-Second Rule – Delivering the down and dirty on staying healthy	United States~ en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
5secondruleshow.org ↗	63 match 1 shared topics	5-Second Rule – Delivering the down and dirty on staying healthy	United States~ en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
3dgeoresources.com ↗	63 match 1 shared topics	3D Georesources	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aspr.gov ↗	62 match 1 shared topics	Administration for Strategic Preparedness and Response ASPR Home	en	infectious-diseases Drupal	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.