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Researchers for Global Health – Research – Clinical Care – Education — 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
researchersforglobalhealth.org ↗	85 match 1 shared topics	Researchers for Global Health – Research – Clinical Care – Education	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ccrplatform.net ↗	66 match 1 shared topics	Chagas Clinical Research Platform \| DNDi	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
medicalinfluenzastudy.com ↗	66 match 1 shared topics	Flu \| Influenza Prevention Clinical Research Study Information	en	infectious-diseases Sitecore	robotsllmsaihumans	emailphone	none
research4covidtreatment.com ↗	66 match 1 shared topics	COVID-19 studies \| COVID-19 Clinical Research Study Information	en	infectious-diseases Sitecore	robotsllmsaihumans	emailphone	none
mircore.org ↗	66 match 1 shared topics	miRcore – democratize medical research	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
chickenpoxstudies.com ↗	66 match 1 shared topics	Lullaby Program \| Chickenpox Prevention Clinical Research Study Information	en	infectious-diseases Sitecore	robotsllmsaihumans	emailphone	none
canlyme.com ↗	66 match 1 shared topics	CanLyme \| Prevention, research, education, advocacy	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
reportbrazil.org ↗	65 match 1 shared topics	RePORT-Brazil – Regional Prospective Observational Research for Tuberculosis	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
rhsp.org ↗	65 match 1 shared topics	RHSP \| Improved Health Through High Impact Research	en	infectious-diseases	robotsllmsaihumans	emailphone	none
mipha.org ↗	64 match 1 shared topics	MPHA – Michigan Public Health Association	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
ready-initiative.org ↗	64 match 1 shared topics	READY Initiative – Augmenting global capacity for outbreak readiness	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
microbiology-direct.com ↗	64 match 1 shared topics	Microbiology Direct – Reviewed Microbiology Web Directory – Research and Biology Journal	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2ide.org ↗	64 match 1 shared topics	2IDE • Research & Development	en	infectious-diseases	robotsllmsaihumans	emailphone	none
atlantaclinicalcare.com ↗	64 match 1 shared topics	Infectious Disease Specialists of Metro Atlanta - Atlanta Clinical Care	United States~ en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
miru-ffm.org ↗	64 match 1 shared topics	Mycobacterial Infection Research Unit	en	infectious-diseases	robotsllmsaihumans	emailphone	none
sharetreck.com ↗	64 match 1 shared topics	Sharetreck – Tracking Genomic Investments & clinical trials for HIV. – Sister Website to ShareTreck YouTube Channel.	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
menahsa.org ↗	64 match 1 shared topics	MENA Health Security Association	en	infectious-diseases	robotsllmsaihumans	emailphone	none
cdafound.org ↗	64 match 1 shared topics	CDA Foundation – Eliminating Preventable Diseases, Globally.	en	infectious-diseases WordPress	robotsllmsaihumans	email phone	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.