<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Carey KA</submitter><funding>National Institute of Allergy and Infectious Diseases</funding><funding>Intramural NIH HHS</funding><funding>U.S. Department of Energy</funding><funding>Oak Ridge Institute for Science and Education</funding><funding>National Institutes of Health</funding><pagination>7176-7181</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11261575</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>40(50)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Neisseria gonorrhoeae cross-protection was suggested in a New Zealand meningitis B vaccine. We modeled the potential impact of similar vaccines on gonorrhea prevalence in heterosexuals in the United States.&lt;h4>Methods&lt;/h4>Our mathematical model incorporated infection, behavior, and vaccination dynamics. Approximate Bayesian Computation calibrated our model to US prevalence. Primary analyses assumed New Zealand vaccine characteristics: 30% efficacy and 2-year duration of protection. We estimated impact under two vaccine coverages (20%, 50%).&lt;h4>Results&lt;/h4>Reduction in gonorrhea prevalence ranged from 4.8 to 39.4%, depending on vaccine coverage. Vaccine impact was correlated with both size of the highly sexually active subpopulation and sexual mixing between high and low </pubmed_abstract><journal>Vaccine</journal><pubmed_title>Estimating the population level impact of a gonococcal vaccine candidate: Predictions from a simple mathematical model.</pubmed_title><pmcid>PMC11261575</pmcid><funding_grant_id>Z99 AI999999</funding_grant_id><pubmed_authors>Carey KA</pubmed_authors><pubmed_authors>Newman LM</pubmed_authors><pubmed_authors>Spicknall IH</pubmed_authors></additional><is_claimable>false</is_claimable><name>Estimating the population level impact of a gonococcal vaccine candidate: Predictions from a simple mathematical model.</name><description>&lt;h4>Background&lt;/h4>Neisseria gonorrhoeae cross-protection was suggested in a New Zealand meningitis B vaccine. We modeled the potential impact of similar vaccines on gonorrhea prevalence in heterosexuals in the United States.&lt;h4>Methods&lt;/h4>Our mathematical model incorporated infection, behavior, and vaccination dynamics. Approximate Bayesian Computation calibrated our model to US prevalence. Primary analyses assumed New Zealand vaccine characteristics: 30% efficacy and 2-year duration of protection. We estimated impact under two vaccine coverages (20%, 50%).&lt;h4>Results&lt;/h4>Reduction in gonorrhea prevalence ranged from 4.8 to 39.4%, depending on vaccine coverage. Vaccine impact was correlated with both size of the highly sexually active subpopulation and sexual mixing between high and low </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Nov</publication><modification>2025-04-04T14:46:03.367Z</modification><creation>2025-04-04T14:46:03.367Z</creation></dates><accession>S-EPMC11261575</accession><cross_references><pubmed>36333224</pubmed><doi>10.1016/j.vaccine.2022.10.031</doi></cross_references></HashMap>