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Estimating the population level impact of a gonococcal vaccine candidate: Predictions from a simple mathematical model.
Carey, Kelly A; Newman, Lori M; Spicknall, Ian H.
Affiliation
  • Carey KA; Office of Data Science and Emerging Technologies, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.
  • Newman LM; Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.
  • Spicknall IH; Division of STD Prevention, National Center for HIV/AIDS, Viral Hepatitis, STDs, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA. Electronic address: xfu0@cdc.gov.
Vaccine ; 40(50): 7176-7181, 2022 11 28.
Article in En | MEDLINE | ID: mdl-36333224
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Viral Vaccines / Gonorrhea Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Vaccine Year: 2022 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Viral Vaccines / Gonorrhea Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Vaccine Year: 2022 Document type: Article Affiliation country: