Med Decis Making - Use of a catalytic model to estimate hepatitis A incidence in a low-endemicity country: implications for modeling immunization policies.

Tópicos

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Resumo

CKGROUND: Evaluating the cost-effectiveness of vaccine programs with dynamic modeling requires accurate estimates of incidence over time. Because infectious diseases are often underreported, supplementary data and statistical analyses are required to estimate true incidence. This study estimates the true incidence of hepatitis A virus (HAV) infection in Canada using a catalytic model.METHODS: A catalytic model was used to reconcile HAV seroprevalence data with the corresponding true cumulative risk of infection estimated from incidence data.RESULTS: The average annual reported incidence was 6.2 cases per 100,000 from 1980 to 1989 and 7.7/100,000 from 1990 to 1999, indicating that Canada is a low-incidence country. The seroprevalence in Canadian-born individuals (n = 7 studies) was approximately 1%-8% in ages <20, 1%-11% in ages 20-29, 7%-29% in ages 30-39, and higher in older age groups. Between 1980 and 1995, the catalytic model estimated an average annual incidence of 60/100,000 (95% confidence interval, 33-524); approximately 7.73 (4.21-67.33) times the average annual reported incidence of 7.78/100,000. For a typical birth cohort of 403 434 Canadians born in 1990, the model predicted 32 750 HAV cases by age 39, with a corresponding seroprevalence of approximately 8.12% by the year 2029.IMPLICATIONS: Reliable estimates of true incidence of infectious disease are required for cost-effectiveness analysis of infectious disease programs. Catalytic models enable the synthesis of dispersed data, quantification of data limitations, and reconciliation of these limitations to estimate true incidence for economic evaluations.

Resumo Limpo

ckground evalu costeffect vaccin program dynam model requir accur estim incid time infecti diseas often underreport supplementari data statist analys requir estim true incid studi estim true incid hepat virus hav infect canada use catalyt modelmethod catalyt model use reconcil hav seropreval data correspond true cumul risk infect estim incid dataresult averag annual report incid case per indic canada lowincid countri seropreval canadianborn individu n studi approxim age age age higher older age group catalyt model estim averag annual incid confid interv approxim time averag annual report incid typic birth cohort canadian born model predict hav case age correspond seropreval approxim year implic reliabl estim true incid infecti diseas requir costeffect analysi infecti diseas program catalyt model enabl synthesi dispers data quantif data limit reconcili limit estim true incid econom evalu

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