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Welcome to the Michael Gale Laboratory | Gale Laboratory — 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
larccqi.org ↗	67 match 1 shared topics	Home \| LARC \| Laboratory African Regional Collaborative	en	infectious-diseases	robotsllmsaihumans	emailphone	none
onestophospital.com ↗	62 match 1 shared topics	CheckTB! - Finding the missing people with TB	en	infectious-diseases	robotsllmsaihumans	emailphone	none
24secforprotection.com ↗	61 match 1 shared topics	Spot The Red Flags!	en	infectious-diseases	robotsllmsaihumans	emailphone	none
impositivegame.com ↗	61 match 1 shared topics	I'm Positive the Game	en	infectious-diseases	robotsllmsaihumans	emailphone	none
onthetrailofebola.com ↗	61 match 1 shared topics	On the Trail of Ebola	en	infectious-diseases	robotsllmsaihumans	emailphone	none
torontohivaidsnetwork.org ↗	61 match 1 shared topics	Toronto HIV / AIDS Network - The Toronto HIV/AIDS Network (THN) facilitates HIV/AIDS planning, collaboration, engagement and innovation to improve access to programs and services for people from diverse communities living with and most affected by HIV/AIDS.	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	partial · 8
badlymeattitude.com ↗	61 match 1 shared topics	Prosecute the Lyme Crooks	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
coronaheadsup.com ↗	61 match 1 shared topics	Coronaheadsup.com - The top pandemic stories from across the globe	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
thewalklab.com ↗	61 match 1 shared topics	the walk lab \| infectious diseases, microbial ecology and evolution	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
blahblahblahg.com ↗	61 match 1 shared topics	Blah, Blah, Blahg – The most valuable supply of worthlessness on the web	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
coronaandthecrone.com ↗	61 match 1 shared topics	Coronavirus \| Corona and the Crone	en	infectious-diseases Wix	robots llmsaihumans	emailphone	none
lymeroad.com ↗	61 match 1 shared topics	THE LYME ROAD \| A Journey to Wellness	en	infectious-diseases WordPress Reaction Commerce	robotsllmsaihumans	emailphone	none
theviraldelusion.com ↗	61 match 1 shared topics	Mike Wallach: The Viral Delusion \| Substack	en	infectious-diseases	robotsllmsaihumans	emailphone	none
91-divoc.com ↗	61 match 1 shared topics	91-DIVOC : Flip the script on COVID-19 \| 91-DIVOC	en	infectious-diseases	robotsllmsaihumans	emailphone	none
coronadailies.com ↗	61 match 1 shared topics	Corona Dailies \| Journaling my way through the pandemic	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
nat.org.uk ↗	61 match 1 shared topics	National AIDS Trust - We’re the UK’s HIV rights charity	United Kingdom en	infectious-diseases WordPress Shopify	robotsllmsaihumans	emailphone	none
bluedot.global ↗	61 match 1 shared topics	BlueDot: The world's most trusted infectious disease intelligence	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
1goodthingtoday.org ↗	61 match 1 shared topics	1 Good Thing Today \| How to Help Your Community During COVID-19	en	infectious-diseases WordPress	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.