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Lee Kennedy-Shaffer, PhD – Assistant Professor, Biostatistics, Yale School of Public Health — 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
mipha.org ↗	66 match 1 shared topics	MPHA – Michigan Public Health Association	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
profchakerelkalamouni.com ↗	66 match 1 shared topics	Professor Chaker El Kalamouni \| Associate Professor & Researcher	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
leegionella.com ↗	65 match 1 shared topics	Leegionella Ltd - Independent Public Health Microbiology consultancy and Advisory Services	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kanjeelab.org ↗	65 match 1 shared topics	Kanjee Lab – Washington University in St Louis School of Medicine	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
cddep.org ↗	64 match 1 shared topics	One Health Trust	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
professorkoakinyemi.com ↗	64 match 1 shared topics	Prof. Kabiru Olusegun Akinyemi \| Professor of Microbiology, LASU	en	infectious-diseases	robotsllmsaihumans	emailphone	none
millburngs.org ↗	64 match 1 shared topics	The Goddard School of Millburn - Daily Health Screening	United States~ en	infectious-diseases	robotsllmsaihumans	email phone	none
professornoz.com ↗	64 match 1 shared topics	Professor NOZ – Mosquito Intelligence Hub	en	infectious-diseases	robotsllmsaihumans	emailphone	none
flupharmalearning.com ↗	64 match 1 shared topics	GSK Vaccines \| GSKPro for Healthcare Professionals	en	infectious-diseases Adobe Experience Manager	robotsllmsaihumans	emailphone	none
covid19-sciencetable.ca ↗	63 match 1 shared topics	Ontario COVID-19 Science Advisory Table Science Briefs Archive \| Institute of Health Emergencies and Pandemics	Canada en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
ctoddbenow.net ↗	63 match 1 shared topics	The Magical Storybook of Professor Peacock – inspiring each other to greater understanding, compassion, love, peace and truth	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
profroseganafombanleke.com ↗	63 match 1 shared topics	Prof. Rose Gana Fomban Leke \| Global Health & Malaria Research Scientist	en	infectious-diseases WordPress WooCommerce	robots llmsaihumans	emailphone	none
idahocmv.com ↗	63 match 1 shared topics	Idaho CMV Advocacy Project – idahocmv.com	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
idsofnwa.com ↗	63 match 1 shared topics	2026 update \| Infectious Disease Specialists of NWA	en	infectious-diseases	robotsllmsaihumans	emailphone	none
menahsa.org ↗	63 match 1 shared topics	MENA Health Security Association	en	infectious-diseases	robotsllmsaihumans	emailphone	none
abrownhopkinsresearch.com ↗	63 match 1 shared topics	Dr. Amanda M. Brown, PhD – Laboratory of Dr. Amanda M. Brown, PhD	en	infectious-diseases WordPress	robotsllmsaihumans	emailphone	none
icvanalytics.org ↗	63 match 1 shared topics	ICV - Integrated Computational Viromics & Digital Health Analytics	en	infectious-diseases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
idpittstop.com ↗	63 match 1 shared topics	ID PittStop – University of Pittsburgh Division of Infectious Diseases	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.