{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T22:54:15Z","timestamp":1789167255527,"version":"build-2803163510"},"reference-count":36,"publisher":"Cambridge University Press (CUP)","issue":"3","license":[{"start":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T00:00:00Z","timestamp":1516665600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":["www.cambridge.org"],"crossmark-restriction":true},"short-container-title":["Epidemiol. Infect."],"published-print":{"date-parts":[[2018,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Sex differences in the incidence of infections may indicate different risk factors and behaviour but have not been analysed across pathogens. Based on 3.96 million records of 33 pathogens in Germany, notified from 2001 to 2013, we applied Poisson regression to generate age-standardised incidence rate ratios and assessed their distribution across age and sex. The following trends became apparent: (a) pathogens with male incidence preponderance at infant and child age (meningococcal disease (incidence rate ratio (IRR) = 1.19, 95% CI 1.03\u20131.38, age = 0\u20134); influenza (IRR = 1.09, 95% CI 1.06\u20131.13, age = 0\u20134)), (b) pathogens with sex-switch in incidence preponderance at puberty (e.g. norovirus (IRR = 1.10, 95% CI 1.02\u20131.19 in age = 5\u201314, IRR = 0.96, 95% CI 0.93\u20130.99, age \u2a7e 60), (c) pathogens with general male incidence preponderance (bacterial\/parasitic infections with campylobacter, <jats:italic>Yersinia<\/jats:italic> and <jats:italic>Giardia<\/jats:italic>), (d) pathogens with male incidence preponderance at juvenile and adult age (sexually transmitted or vector-borne infections (combined-IRR = 2.53, 95% CI 2.36\u20132.71, age = 15\u201359), (e) pathogens with male preponderance at older age (tick-borne encephalitis - IRR = 2.75, 95% CI 1.21\u20136.24, listeriosis - IRR = 2.06, 95% CI 1.38\u20133.06, age \u2a7e 60). Risk factor concepts only partly serve to interpret similarities of grouped infections, i.e. transmission-related explanations and sex-specific exposures not consistently explain the pattern of food-borne infections (b). Sex-specific differences in infectious disease incidence are well acknowledged regarding the sexually transmitted diseases. This has led to designing gender-specific prevention strategies. Our data suggest that for infections with other transmission routes, gender-specific approaches can also be of benefit and importance.<\/jats:p>","DOI":"10.1017\/s0950268817002771","type":"journal-article","created":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T08:36:20Z","timestamp":1516696580000},"page":"372-378","update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":20,"title":["Sex- and age patterns in incidence of infectious diseases in Germany: analyses of surveillance records over a 13-year period (2001\u20132013)"],"prefix":"10.1017","volume":"146","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1877-2792","authenticated-orcid":false,"given":"F.","family":"Walter","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. 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