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Sites similar to nitcollaborative.org.uk

Nitcollaborative alternatives & similar sites

NITCAR – The National Infection Teams Collaborative for Audit and Research — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
larccqi.org 66 match
1 shared topics
Home | LARC | Laboratory African Regional Collaborative en infectious-diseases robotsllmsaihumans emailphone none
cidni.org 65 match
1 shared topics
The Center for Infectious Disease and Nursing Innovation | CIDNI en infectious-diseasesWordPress robotsllmsaihumans emailphone none
cdcnpin.org 64 match
1 shared topics
Homepage | National Prevention Information Network en infectious-diseasesDrupal robotsllmsaihumans emailphone none
aspr.gov 64 match
1 shared topics
Administration for Strategic Preparedness and Response ASPR Home en infectious-diseasesDrupal robotsllmsaihumans emailphone none
csbid.org 64 match
1 shared topics
CSBID – Center for Structural Biology of Infectious Diseases en infectious-diseasesWordPressWooCommerce robotsllmsaihumans emailphone none
abzymeresearchfoundation.org 64 match
1 shared topics
endHIV — Abzyme Research Foundation United States~ en infectious-diseases robotsllmsaihumans emailphone none
canlyme.com 64 match
1 shared topics
CanLyme | Prevention, research, education, advocacy en infectious-diseasesWordPressWooCommerce robotsllmsaihumans emailphone none
spparenet.org 64 match
1 shared topics
Home Special Pathogens Research Network Ltd 1st and best en infectious-diseasesWordPress robotsllmsaihumans emailphone none
thewalklab.com 64 match
1 shared topics
the walk lab | infectious diseases, microbial ecology and evolution en infectious-diseasesWordPress robotsllmsaihumans emailphone none
spotshooter.net 64 match
1 shared topics
Infection Prevention Products & Signage | Hand Hygiene Training - Brevis United States~ en infectious-diseases robotsllmsaihumans emailphone none
torontohivaidsnetwork.org 64 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-diseasesWordPress robotsllmsaihumans emailphone partial · 8
nhst.org.uk 63 match
1 shared topics
Telling The Story Of HIV & Aids - National HIV Story Trust (NHST) : National HIV Story Trust United Kingdom en infectious-diseasesWordPress robotsllmsaihumans emailphone none
sanaria.com 63 match
1 shared topics
Sanaria – Malaria Eradication Through Vaccination en infectious-diseasesWordPressWooCommerce robotsllmsaihumans emailphone none
onlinecornucopia.com 63 match
1 shared topics
Online Cornucopia – Viral information en infectious-diseasesWordPress robotsllmsaihumans emailphone none
nat.org.uk 63 match
1 shared topics
National AIDS Trust - We’re the UK’s HIV rights charity United Kingdom en infectious-diseasesWordPressShopify robotsllmsaihumans emailphone none
csgid.org 63 match
1 shared topics
Center for Structural Genomics of Infectious Diseases - Pages en infectious-diseases robotsllmsaihumans emailphone none
adolescentpregnancyethics.org 63 match
1 shared topics
PREPARE: PRomoting Equity for Pregnant Adolescents in REsearch en infectious-diseasesSquarespaceMagento robotsllmsaihumans emailphone none
bluedot.global 63 match
1 shared topics
BlueDot: The world's most trusted infectious disease intelligence en infectious-diseasesWordPress 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:

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.