Planning for human papillomavirus (HPV) vaccination in sub-Saharan Africa: A modeling-based approach
Highlights • Vaccination scenarios were modeled to forecast disease impact and cost consequences for national vaccination program planning. • Models predict that HPV vaccination in Mali will reduce cervical cancer burden by a factor roughly equal to vaccine coverage. • HPV prevalence is greater in r...
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| Veröffentlicht in: | Vaccine 2014-05, Vol.32 (26), p.3316-3322 |
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| creator | Tracy, J. Kathleen Schluterman, Nicholas H Greene, Christina Sow, Samba O Gaff, Holly D |
| description | Highlights • Vaccination scenarios were modeled to forecast disease impact and cost consequences for national vaccination program planning. • Models predict that HPV vaccination in Mali will reduce cervical cancer burden by a factor roughly equal to vaccine coverage. • HPV prevalence is greater in rural areas than urban, so greatest impact on disease will be in programs target rural areas. • Vaccination coverage rates above 50% appear cost prohibitive. • Modeling can forecast impact, identify realistic coverage goals and serve as a valuable tool for HPV vaccination planning. |
| doi_str_mv | 10.1016/j.vaccine.2014.03.067 |
| format | Article |
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Kathleen</au><au>Schluterman, Nicholas H</au><au>Greene, Christina</au><au>Sow, Samba O</au><au>Gaff, Holly D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Planning for human papillomavirus (HPV) vaccination in sub-Saharan Africa: A modeling-based approach</atitle><jtitle>Vaccine</jtitle><addtitle>Vaccine</addtitle><date>2014-05-30</date><risdate>2014</risdate><volume>32</volume><issue>26</issue><spage>3316</spage><epage>3322</epage><pages>3316-3322</pages><issn>0264-410X</issn><eissn>1873-2518</eissn><coden>VACCDE</coden><abstract>Highlights • Vaccination scenarios were modeled to forecast disease impact and cost consequences for national vaccination program planning. • Models predict that HPV vaccination in Mali will reduce cervical cancer burden by a factor roughly equal to vaccine coverage. • HPV prevalence is greater in rural areas than urban, so greatest impact on disease will be in programs target rural areas. • Vaccination coverage rates above 50% appear cost prohibitive. • Modeling can forecast impact, identify realistic coverage goals and serve as a valuable tool for HPV vaccination planning.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>24731734</pmid><doi>10.1016/j.vaccine.2014.03.067</doi><tpages>7</tpages></addata></record> |
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| subjects | Adolescent Allergy and Immunology Applied microbiology Biological and medical sciences Cervical cancer Child Compartmental model Costs and Cost Analysis Female Forecasting Fundamental and applied biological sciences. Psychology Health Planning - economics Health promotion Human papillomavirus Humans Immunization Immunization Programs - economics Male Mali Mathematical models Medical sciences Microbiology Miscellaneous Models, Theoretical Papillomavirus Infections - prevention & control Papillomavirus Vaccines - administration & dosage Public health Rural areas Rural Population Tumors Urban areas Urban Population Uterine Cervical Neoplasms - prevention & control Vaccines Vaccines, antisera, therapeutical immunoglobulins and monoclonal antibodies (general aspects) Virology Young Adult |
| title | Planning for human papillomavirus (HPV) vaccination in sub-Saharan Africa: A modeling-based approach |
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