{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,11]],"date-time":"2026-10-11T14:08:03Z","timestamp":1791727683932,"version":"4.3.4"},"reference-count":25,"publisher":"Cambridge University Press (CUP)","issue":"2","license":[{"start":{"date-parts":[[2020,2,13]],"date-time":"2020-02-13T00:00:00Z","timestamp":1581552000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J Technol Assess Health Care"],"published-print":{"date-parts":[[2020,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec id=\"S0266462320000069_sec_a1\" sec-type=\"other\"><jats:title>Objectives<\/jats:title><jats:p>When assessing the economic value of vaccines, decision makers should adopt a full societal perspective. One approach for estimation of the fiscal impact of a disease is to use the human capital method to determine productivity losses. The aim of this study was to test an analytical framework developed for the estimation of the fiscal impacts of vaccination programs for influenza (FLU), pneumococcus (PC), and herpes zoster (HZ), in Italy.<\/jats:p><\/jats:sec><jats:sec id=\"S0266462320000069_sec_a2\" sec-type=\"methods\"><jats:title>Methods<\/jats:title><jats:p>We tested the framework in a two-stage analysis. First, we estimated the fiscal impact of the disease, second we performed a cost\u2013benefit analysis of the individual benefits of vaccination against the cost of the vaccine. To estimate the fiscal impact of the diseases, the human capital approach was used. Epidemiological data were extrapolated from the literature. A Monte Carlo simulation enabled exploration of the uncertainty in the model variables.<\/jats:p><\/jats:sec><jats:sec id=\"S0266462320000069_sec_a3\" sec-type=\"results\"><jats:title>Results<\/jats:title><jats:p>For FLU, assuming 2.1 million people infected, the total expected impact was EUR 999,371,520; the estimated fiscal impact was EUR 159,563,520. For PC, assuming 90,000 people infected, the total impact was EUR 148,055,040 and the estimated fiscal impact was EUR 23,639,040. For HZ, assuming 6,400 people infected, the total impact was EUR 4,777,200, with EUR 630,000 resulting from a decrease in fiscal taxation.<\/jats:p><\/jats:sec><jats:sec id=\"S0266462320000069_sec_a4\" sec-type=\"conclusions\"><jats:title>Conclusions<\/jats:title><jats:p>In conclusion, our work shows how traditional methods aimed at estimating the cost of illness from a social perspective can be improved by additionally considering the fiscal impact, which accounts for the decrease in fiscal revenues due to illness.<\/jats:p><\/jats:sec>","DOI":"10.1017\/s0266462320000069","type":"journal-article","created":{"date-parts":[[2020,2,13]],"date-time":"2020-02-13T10:50:37Z","timestamp":1581591037000},"page":"133-138","source":"Crossref","is-referenced-by-count":13,"title":["Estimating the fiscal impact of three vaccination strategies in Italy"],"prefix":"10.1017","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5703-7424","authenticated-orcid":false,"given":"Matteo","family":"Ruggeri","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7964-3348","authenticated-orcid":false,"given":"Eugenio","family":"Di Brino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Americo","family":"Cicchetti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2020,2,13]]},"reference":[{"key":"S0266462320000069_ref19","doi-asserted-by":"publisher","DOI":"10.4161\/hv.36160"},{"key":"S0266462320000069_ref11","unstructured":"11. 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