{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T11:06:20Z","timestamp":1789902380551,"version":"4.0.1"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,3,7]],"date-time":"2019-03-07T00:00:00Z","timestamp":1551916800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010663","name":"H2020 European Research Council","doi-asserted-by":"publisher","award":["682540"],"award-info":[{"award-number":["682540"]}],"id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010663","name":"H2020 European Research Council","doi-asserted-by":"crossref","award":["682540"],"award-info":[{"award-number":["682540"]}],"id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Res Methodol"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1186\/s12874-019-0692-1","type":"journal-article","created":{"date-parts":[[2019,3,7]],"date-time":"2019-03-07T09:04:11Z","timestamp":1551949451000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Sample size calculation for estimating key epidemiological parameters using serological data and mathematical modelling"],"prefix":"10.1186","volume":"19","author":[{"given":"St\u00e9phanie","family":"Blaizot","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sereina A.","family":"Herzog","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven","family":"Abrams","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heidi","family":"Theeten","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amber","family":"Litzroth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Niel","family":"Hens","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,3,7]]},"reference":[{"issue":"10045","key":"692_CR1","doi-asserted-by":"publisher","first-page":"728","DOI":"10.1016\/S0140-6736(16)30164-7","volume":"388","author":"CJ Metcalf","year":"2016","unstructured":"Metcalf CJ, Farrar J, Cutts FT, Basta NE, Graham AL, Lessler J, et al. Use of serological surveys to generate key insights into the changing global landscape of infectious disease. Lancet. 2016;388(10045):728\u201330.","journal-title":"Lancet"},{"key":"692_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-4072-7","volume-title":"Modeling infectious disease parameters based on serological and social contact data: a modern statistical perspective","author":"N Hens","year":"2012","unstructured":"Hens N, Shkedy Z, Aerts M, Faes C, Van Damme P, Beutels P. Modeling infectious disease parameters based on serological and social contact data: a modern statistical perspective. New York: Springer; 2012."},{"issue":"1","key":"692_CR3","doi-asserted-by":"publisher","first-page":"775","DOI":"10.1186\/s12879-017-2874-y","volume":"17","author":"SA Herzog","year":"2017","unstructured":"Herzog SA, Blaizot S, Hens N. Mathematical models used to inform study design or surveillance systems in infectious diseases: a systematic review. BMC Infect Dis. 2017;17(1):775.","journal-title":"BMC Infect Dis"},{"issue":"22","key":"692_CR4","doi-asserted-by":"publisher","first-page":"2369","DOI":"10.1002\/sim.4780132208","volume":"13","author":"IC Marschner","year":"1994","unstructured":"Marschner IC. Determining the size of a cross-sectional sample to estimate the age-specific incidence of an irreversible disease. Stat Med. 1994;13(22):2369\u201381.","journal-title":"Stat Med"},{"key":"692_CR5","doi-asserted-by":"publisher","first-page":"371","DOI":"10.2307\/2983150","volume":"154","author":"N Keiding","year":"1991","unstructured":"Keiding N. Age-specific incidence and prevalence - a statistical perspective. J R Stat Soc Ser A Stat Soc. 1991;154:371\u2013412.","journal-title":"J R Stat Soc Ser A Stat Soc"},{"issue":"3","key":"692_CR6","doi-asserted-by":"publisher","first-page":"e17908","DOI":"10.1371\/journal.pone.0017908","volume":"6","author":"H Nishiura","year":"2011","unstructured":"Nishiura H, Chowell G, Castillo-Chavez C. Did modeling overestimate the transmission potential of pandemic (H1N1-2009)? Sample size estimation for post-epidemic seroepidemiological studies. PLoS One. 2011;6(3):e17908.","journal-title":"PLoS One"},{"key":"692_CR7","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1186\/s12936-015-0661-z","volume":"14","author":"N Sepulveda","year":"2015","unstructured":"Sepulveda N, Drakeley C. Sample size determination for estimating antibody seroconversion rate under stable malaria transmission intensity. Malar J. 2015;14:141.","journal-title":"Malar J"},{"key":"692_CR8","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1186\/s12936-015-1050-3","volume":"14","author":"N Sepulveda","year":"2015","unstructured":"Sepulveda N, Paulino CD, Drakeley C. Sample size and power calculations for detecting changes in malaria transmission using antibody seroconversion rate. Malar J. 2015;14:529.","journal-title":"Malar J"},{"key":"692_CR9","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.epidem.2015.02.005","volume":"12","author":"DN Vinh","year":"2015","unstructured":"Vinh DN, Boni MF. Statistical identifiability and sample size calculations for serial seroepidemiology. Epidemics. 2015;12:30\u20139.","journal-title":"Epidemics."},{"issue":"4","key":"692_CR10","doi-asserted-by":"publisher","first-page":"5","DOI":"10.2807\/esm.09.04.00456-en","volume":"9","author":"A Nardone","year":"2004","unstructured":"Nardone A, Miller E. Serological surveillance of rubella in Europe: European Sero-epidemiology network (ESEN2). Euro Surveill. 2004;9(4):5\u20137.","journal-title":"Euro Surveill"},{"key":"692_CR11","doi-asserted-by":"crossref","unstructured":"Osborne K, Weinberg J, Miller E. The European Sero-epidemiology network. Euro Surveill. 1997;2(4):29\u201331.","DOI":"10.2807\/esm.02.04.00167-en"},{"issue":"6","key":"692_CR12","doi-asserted-by":"publisher","first-page":"802","DOI":"10.1017\/S0950268809990781","volume":"138","author":"N Hens","year":"2010","unstructured":"Hens N, Aerts M, Faes C, Shkedy Z, Lejeune O, Van Damme P, et al. Seventy-five years of estimating the force of infection from current status data. Epidemiol Infect. 2010;138(6):802\u201312.","journal-title":"Epidemiol Infect"},{"key":"692_CR13","volume-title":"Analysis of infectious disease data","author":"NG Becker","year":"1989","unstructured":"Becker NG. Analysis of infectious disease data. London: Chapman and Hall; 1989."},{"issue":"8","key":"692_CR14","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1002\/sim.4780090811","volume":"9","author":"CP Farrington","year":"1990","unstructured":"Farrington CP. Modelling forces of infection for measles, mumps and rubella. Stat Med. 1990;9(8):953\u201367.","journal-title":"Stat Med"},{"key":"692_CR15","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1111\/j.1467-9876.2009.00693.x","volume":"59","author":"N Goeyvaerts","year":"2010","unstructured":"Goeyvaerts N, Hens N, Ogunjimi B, Aerts M, Shkedy Z, Van Damme P, et al. Estimating infectious disease parameters from data on social contacts and serological status. J R Stat Soc Ser C-Appl Stat. 2010;59:255\u201377.","journal-title":"J R Stat Soc Ser C-Appl Stat"},{"issue":"2","key":"692_CR16","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1093\/biostatistics\/kxq059","volume":"12","author":"N Goeyvaerts","year":"2011","unstructured":"Goeyvaerts N, Hens N, Aerts M, Beutels P. Model structure analysis to estimate basic immunological processes and maternal risk for parvovirus B19. Biostatistics. 2011;12(2):283\u2013302.","journal-title":"Biostatistics"},{"key":"692_CR17","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198545996.001.0001","volume-title":"Infectious diseases of humans: dynamics and control","author":"R Anderson","year":"1991","unstructured":"Anderson R, May R. Infectious diseases of humans: dynamics and control. Oxford: Oxford University Press; 1991."},{"issue":"7","key":"692_CR18","first-page":"505","volume":"83","author":"BD Schoub","year":"1993","unstructured":"Schoub BD, Blackburn NK, Johnson S, McAnerney JM. Primary and secondary infection with human parvovirus B19 in pregnant women in South Africa. S Afr Med J. 1993;83(7):505\u20136.","journal-title":"S Afr Med J"},{"issue":"6","key":"692_CR19","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1007\/s11606-007-0173-9","volume":"22","author":"J Kaufmann","year":"2007","unstructured":"Kaufmann J, Buccola JM, Stead W, Rowley C, Wong M, Bates CK. Secondary symptomatic parvovirus B19 infection in a healthy adult. J Gen Intern Med. 2007;22(6):877\u20138.","journal-title":"J Gen Intern Med"},{"issue":"8","key":"692_CR20","doi-asserted-by":"publisher","first-page":"1354","DOI":"10.1017\/S0950268807007856","volume":"135","author":"AJ Vyse","year":"2007","unstructured":"Vyse AJ, Andrews NJ, Hesketh LM, Pebody R. The burden of parvovirus B19 infection in women of childbearing age in England and Wales. Epidemiol Infect. 2007;135(8):1354\u201362.","journal-title":"Epidemiol Infect"},{"issue":"3","key":"692_CR21","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1590\/S0034-89102008000300008","volume":"42","author":"EM Huatuco","year":"2008","unstructured":"Huatuco EM, Durigon EL, Lebrun FL, Passos SD, Gazeta RE, Azevedo Neto RS, et al. Seroprevalence of human parvovirus B19 in a suburban population in Sao Paulo, Brazil. Rev Saude Publica. 2008;42(3):443\u20139.","journal-title":"Rev Saude Publica"},{"key":"692_CR22","unstructured":"Nysen R. Parametric and semi-parametric model strategies with applications in chemical and microbial risk assessment. PhD thesis. Hasselt: Hasselt University; 2016."},{"key":"692_CR23","unstructured":"EUROSTAT. Population on 1 January 2003 by age and sex, Belgium. [data table] http:\/\/ec.europa.eu\/eurostat\/data\/database . Accessed 12 June 2017."},{"key":"692_CR24","volume-title":"R: A language and environment for statistical computing","author":"R Core Team","year":"2017","unstructured":"R Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2017."},{"issue":"15","key":"692_CR25","doi-asserted-by":"publisher","first-page":"2429","DOI":"10.1002\/sim.1819","volume":"23","author":"HJ Whitaker","year":"2004","unstructured":"Whitaker HJ, Farrington CP. Estimation of infectious disease parameters from serological survey data: the impact of regular epidemics. Stat Med. 2004;23(15):2429\u201343.","journal-title":"Stat Med"},{"issue":"1","key":"692_CR26","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1093\/biostatistics\/kxu031","volume":"16","author":"S Abrams","year":"2015","unstructured":"Abrams S, Hens N. Modeling individual heterogeneity in the acquisition of recurrent infections: an application to parvovirus B19. Biostatistics. 2015;16(1):129\u201342.","journal-title":"Biostatistics"},{"key":"692_CR27","doi-asserted-by":"publisher","unstructured":"Abrams S, Aerts M, Molenberghs G, Hens N. Parametric overdispersed frailty models for current status data. Biometrics. 2017. https:\/\/doi.org\/10.1111\/biom.12692 .","DOI":"10.1111\/biom.12692"},{"issue":"7","key":"692_CR28","first-page":"588","volume":"79","author":"DJ Nokes","year":"2001","unstructured":"Nokes DJ, Enquselassie F, Nigatu W, Vyse AJ, Cohen BJ, Brown DW, et al. Has oral fluid the potential to replace serum for the evaluation of population immunity levels? A study of measles, rubella and hepatitis B in rural Ethiopia. Bull World Health Organ. 2001;79(7):588\u201395.","journal-title":"Bull World Health Organ"},{"issue":"1","key":"692_CR29","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1093\/oxfordjournals.aje.a112510","volume":"107","author":"WJ Rogan","year":"1978","unstructured":"Rogan WJ, Gladen B. Estimating prevalence from the results of a screening test. Am J Epidemiol. 1978;107(1):71\u20136.","journal-title":"Am J Epidemiol"},{"issue":"14","key":"692_CR30","doi-asserted-by":"publisher","first-page":"1567","DOI":"10.1002\/(SICI)1097-0258(19960730)15:14<1567::AID-SIM289>3.0.CO;2-G","volume":"15","author":"NJ Gay","year":"1996","unstructured":"Gay NJ. Analysis of serological surveys using mixture models: application to a survey of parvovirus B19. Stat Med. 1996;15(14):1567\u201373.","journal-title":"Stat Med"},{"issue":"6","key":"692_CR31","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1017\/S0950268804003140","volume":"132","author":"AJ Vyse","year":"2004","unstructured":"Vyse AJ, Gay NJ, Hesketh LM, Morgan-Capner P, Miller E. Seroprevalence of antibody to varicella zoster virus in England and Wales in children and young adults. Epidemiol Infect. 2004;132(6):1129\u201334.","journal-title":"Epidemiol Infect"},{"issue":"34","key":"692_CR32","doi-asserted-by":"publisher","first-page":"4403","DOI":"10.1016\/j.vaccine.2008.05.094","volume":"26","author":"MC Rota","year":"2008","unstructured":"Rota MC, Massari M, Gabutti G, Guido M, De Donno A, Ciofi degli Atti ML. Measles serological survey in the Italian population: interpretation of results using mixture model. Vaccine. 2008;26(34):4403\u20139.","journal-title":"Vaccine"}],"container-title":["BMC Medical Research Methodology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12874-019-0692-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12874-019-0692-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12874-019-0692-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T09:23:23Z","timestamp":1721035403000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedresmethodol.biomedcentral.com\/articles\/10.1186\/s12874-019-0692-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,7]]},"references-count":32,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["692"],"URL":"https:\/\/doi.org\/10.1186\/s12874-019-0692-1","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/287581","asserted-by":"object"}]},"ISSN":["1471-2288"],"issn-type":[{"value":"1471-2288","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,7]]},"assertion":[{"value":"29 May 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 February 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 March 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Ethical approval for the setup of the 2002 serum set was obtained from the Ethics Committee of the University of Antwerp. Since the samples were de-identified, consent was deemed unnecessary according to national regulations (decrees KB 13\/02\/2001 and KB 17\/12\/2003).","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"51"}}