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H3DE – The History of Human Health, Disease, and the Environment — 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
onehealth-analytics.org ↗	66 match 1 shared topics	One Health Analytics — Infectious Disease Surveillance & Research	en	infectious-diseases	robotsllmsaihumans	emailphone	none
mediaepidemics.com ↗	66 match 1 shared topics	Media and Epidemics (MEDEP) – Technologies of Science Communication and Public Health in the 20th and 21st Centuries	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
bluedot.global ↗	65 match 1 shared topics	BlueDot: The world's most trusted infectious disease intelligence	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
viroliegy.com ↗	65 match 1 shared topics	ViroLIEgy – Exposing the lies of Germ Theory and virology using their own sources.	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
coronavirus.gov ↗	65 match 1 shared topics	Lab Leak: The True Origins of Covid-19 – The White House	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
covid.gov ↗	65 match 1 shared topics	Lab Leak: The True Origins of Covid-19 – The White House	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
covidtests.gov ↗	65 match 1 shared topics	Lab Leak: The True Origins of Covid-19 – The White House	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
a-zlyme.com ↗	65 match 1 shared topics	HOME - A - Z on Lyme Disease	en	infectious-diseases WordPress WooCommerce	robots llmsaihumans	emailphone	none
cidni.org ↗	65 match 1 shared topics	The Center for Infectious Disease and Nursing Innovation \| CIDNI	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
srqida.com ↗	65 match 1 shared topics	Infectious diseases specialists \| Infectious Diseases Associates	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
onehealthnevada.com ↗	65 match 1 shared topics	One Health Nevada \| Office of State Epidemiology	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
gideononline.com ↗	65 match 1 shared topics	Global Infectious Diseases and Epidemiology Online Network \| GIDEON	en	infectious-diseases WordPress Foxy.io	robotsllmsaihumans	emailphone	none
aadis.org ↗	65 match 1 shared topics	AADIS Epidemiological Model – Australian Animal Disease Spread Model	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
renanifund.com ↗	65 match 1 shared topics	Flu & Ebola Map \| Virus & Contagious Disease Surveillance	en	infectious-diseases	robotsllmsaihumans	emailphone	none
onehealthsecure.com ↗	64 match 1 shared topics	One Health Network for the Prevention of Vector-Borne Diseases \| OneHealthSecure	en	infectious-diseases Drupal	robotsllmsaihumans	emailphone	none
aidshealth.org ↗	64 match 1 shared topics	AHF • Cutting-Edge Medicine and Advocacy - AIDS Healthcare Foundation	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
5secondruleshow.com ↗	64 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 ↗	64 match 1 shared topics	5-Second Rule – Delivering the down and dirty on staying healthy	United States~ 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.