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Catholic TB Study Group — 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
danielleashley.com ↗	64 match 1 shared topics	Danielle Ashley Group \| Home	United States~ en	infectious-diseases	robotsllmsaihumans	emailphone	none
esgbor.org ↗	64 match 1 shared topics	European tick-borne diseases information resource - ESCMID Study Group for Tick-Borne Diseases - ESGBOR	en	infectious-diseases WordPress	robots llmsaihumans	emailphone	none
findacovidtreatment.com ↗	62 match 1 shared topics	COVID-19 studies \| COVID-19 Clinical Research Study Information	en	infectious-diseases Sitecore	robotsllmsaihumans	emailphone	none
eatg.org ↗	62 match 1 shared topics	European AIDS Treatment Group \| HIV Activism in Europe & Central Asia	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
euvsvirus.org ↗	61 match 1 shared topics	Pan-European Matchathon	en	infectious-diseases	robotsllmsaihumans	emailphone	none
hpebs.org ↗	61 match 1 shared topics	Journal Home:: International Journal of HIV/AIDS Prevention, Education and Behavioural Science:: Science Publishing Group	en	infectious-diseases	robotsllmsaihumans	emailphone	none
3seasinstitute.org ↗	61 match 1 shared topics	3 Seas Institute for Public History	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
fauxwesleyancrisis.com ↗	61 match 1 shared topics	Faux Wesleyan Crisis Public Relations	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
virustimeline.com ↗	61 match 1 shared topics	VirusTimeline.com \| COVID-19 Pandemic Timeline	en	infectious-diseases Drupal	robotsllmsaihumans	emailphone	none
brief19.com ↗	61 match 1 shared topics	Brief19 - Daily Review of Covid-19 Research and Policy	en	infectious-diseases	robotsllmsaihumans	emailphone	none
eshraghilab.org ↗	61 match 1 shared topics	Eshraghi Lab - Bacterial pathogenesis research @ University of Florida	en	infectious-diseases Wix	robots llmsaihumans	emailphone	none
mechpath.com ↗	61 match 1 shared topics	Mechanisms of Pathogenicity \| Or the war between two genomes	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
fasttb.com ↗	60 match 1 shared topics	FAST-TB – Facilitating Accelerated Science and Translation for TB Regimen Development	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
virologydownunder.com ↗	60 match 1 shared topics	Virology Down Under - Facts, data, info, expert opinion and a reasonable, occasionally grumpy, voice on viruses: what they are, how they tick and the illnesses they may cause.	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
csidnet.org ↗	60 match 1 shared topics	CSID Network – The Climate Sensitive Infectious Disease Network is establishing and connecting a global community that contributes to CSID software tools and establish localized CSID communities that can link existing on-the-ground issues and initiatives.	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
91-divoc.com ↗	60 match 1 shared topics	91-DIVOC : Flip the script on COVID-19 \| 91-DIVOC	en	infectious-diseases	robotsllmsaihumans	emailphone	none
againstmalaria.com ↗	60 match 1 shared topics	Against Malaria	en	infectious-diseases	robotsllmsaihumans	emailphone	partial · 4
aidshealth.org ↗	60 match 1 shared topics	AHF • Cutting-Edge Medicine and Advocacy - AIDS Healthcare Foundation	en	infectious-diseases WordPress WooCommerce	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.