{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:41:57Z","timestamp":1777614117185,"version":"3.51.4"},"reference-count":31,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2013,7,3]],"date-time":"2013-07-03T00:00:00Z","timestamp":1372809600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biometrics"],"published-print":{"date-parts":[[2013,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Summary<\/jats:title><jats:p><jats:italic>Streptococcus pneumoniae<\/jats:italic>is a typical commensal bacterium causing severe diseases. Its prevalence is high among young children attending day care units, due to lower levels of acquired immunity and a high rate of infectious contacts between the attendees. Understanding the population dynamics of different strains of<jats:italic>S.pneumoniae<\/jats:italic>is necessary, for example, for making successful predictions of changes in the composition of the strain community under intervention policies. Here we analyze data on the strains of<jats:italic>S. pneumoniae<\/jats:italic>carried in attendees of day care units in the metropolitan area of Oslo, Norway. We introduce a variant of approximate Bayesian computation methods, which is suitable for estimating the parameters governing the transmission dynamics in a setting where small local populations of hosts are subject to epidemics of different pathogenic strains due to infections independently acquired from the community. We find evidence for strong between\u2010strain competition, as the acquisition of other strains in the already colonized hosts is estimated to have a relative rate of 0.09 (95% credibility interval [0.06, 0.14]). We also predict the frequency and size distributions for epidemics within the day care unit, as well as other epidemiologically relevant features. The assumption of ecological neutrality between the strains is observed to be compatible with the data. Model validation checks and the consistency of our results with previous research support the validity of our conclusions.<\/jats:p><\/jats:sec>","DOI":"10.1111\/biom.12040","type":"journal-article","created":{"date-parts":[[2013,7,4]],"date-time":"2013-07-04T05:34:22Z","timestamp":1372916062000},"page":"748-757","source":"Crossref","is-referenced-by-count":34,"title":["Estimating the Transmission Dynamics of<i>Streptococcus pneumoniae<\/i>from Strain Prevalence Data"],"prefix":"10.1093","volume":"69","author":[{"given":"Elina","family":"Numminen","sequence":"first","affiliation":[{"name":"Department of Mathematics and Statistics University of Helsinki P.O. Box 68, 00014 Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics University of Helsinki P.O. Box 68, 00014 Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mats","family":"Gyllenberg","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics University of Helsinki P.O. Box 68, 00014 Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jukka","family":"Corander","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics University of Helsinki P.O. Box 68, 00014 Helsinki Finland"},{"name":"Helsinki Institute for Information Technology University of Helsinki P.O. Box 68, 00014 Helsinki Finland"},{"name":"Department of Mathematics \u00c5bo Akademi University 20500 \u00c5bo Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2013,7,3]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"crossref","unstructured":"Anderson R. M.andMay R. 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