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Neil Taylor dotcom – What an old codger I am — 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
doomzambia.com ↗	63 match 1 shared topics	Doom – Peaceful Sleep	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
gcinfection.com ↗	62 match 1 shared topics	Gold Coast Infectious Diseases	en	infectious-diseases	robotsllmsaihumans	emailphone	none
atlstrong.org ↗	62 match 1 shared topics	#ATLSTRONG – #ATLSTRONG	en	infectious-diseases Weebly	robotsllmsaihumans	emailphone	none
auacambodia.org ↗	61 match 1 shared topics	AUA Cambodia – ARV Users Association	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
erics-story.com ↗	61 match 1 shared topics	A Survivors Story – Recovery from Covid-19	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
myjnplus.org ↗	61 match 1 shared topics	Jamaican Network of Seropositives – Live Positively	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
myphysicianadvisor.org ↗	61 match 1 shared topics	COVID 19 Tools – Viral Pandemic Prediction Tools	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
liveepidemic.com ↗	61 match 1 shared topics	HantaTracker – Live Hantavirus Dashboard 2026	en	infectious-diseases	robotsllmsaihumans	emailphone	none
coronavirus.gov ↗	61 match 1 shared topics	Lab Leak: The True Origins of Covid-19 – The White House	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
covid.gov ↗	61 match 1 shared topics	Lab Leak: The True Origins of Covid-19 – The White House	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
covidtests.gov ↗	61 match 1 shared topics	Lab Leak: The True Origins of Covid-19 – The White House	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
csbid.org ↗	61 match 1 shared topics	CSBID – Center for Structural Biology of Infectious Diseases	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
eliminationproject.org ↗	61 match 1 shared topics	The HIV Elimination Project – The HIV Elimination Project	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
atpsynthetase.com ↗	61 match 1 shared topics	Exploring the Biological and Chemical Complexity of the Ligases – Ligases	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
catch4all.com ↗	61 match 1 shared topics	Catch4all.com Home	en	infectious-diseases	robotsllmsaihumans	emailphone	none
doomedinterventions.com ↗	61 match 1 shared topics	Doomed Interventions – The Failure of Global Responses to AIDS in Africa	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
csidnet.org ↗	61 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
at-my-desk.com ↗	61 match 1 shared topics	In The Time of COVID – We are all under shelter at home directives. I seek the positive and the introspective in examining this new reality. This is a nightly journal	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.