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    Results: 1 to 20 of 89

    1.

    Mixing patterns and the spread of close-contact infectious diseases.

    Edmunds WJ, Kafatos G, Wallinga J, Mossong JR.

    Emerg Themes Epidemiol. 2006 Aug 14;3:10.PMID: 16907980 [PubMed]Related articlesFree article

    2.

    Social contacts and mixing patterns relevant to the spread of infectious diseases.

    Mossong J, Hens N, Jit M, Beutels P, Auranen K, Mikolajczyk R, Massari M, Salmaso S, Tomba GS, Wallinga J, Heijne J, Sadkowska-Todys M, Rosinska M, Edmunds WJ.

    PLoS Med. 2008 Mar 25;5(3):e74.PMID: 18366252 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    Dynamic social networks and the implications for the spread of infectious disease.

    Read JM, Eames KT, Edmunds WJ.

    J R Soc Interface. 2008 Sep 6;5(26):1001-7.PMID: 18319209 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    Mining social mixing patterns for infectious disease models based on a two-day population survey in Belgium.

    Hens N, Goeyvaerts N, Aerts M, Shkedy Z, Van Damme P, Beutels P.

    BMC Infect Dis. 2009 Jan 20;9:5.PMID: 19154612 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    Contact profiles in eight European countries and implications for modelling the spread of airborne infectious diseases.

    Kretzschmar M, Mikolajczyk RT.

    PLoS One. 2009 Jun 17;4(6):e5931.PMID: 19536278 [PubMed - indexed for MEDLINE]Related articlesFree article

    6.

    Models of epidemics: when contact repetition and clustering should be included.

    Smieszek T, Fiebig L, Scholz RW.

    Theor Biol Med Model. 2009 Jun 29;6:11.PMID: 19563624 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    Who mixes with whom? A method to determine the contact patterns of adults that may lead to the spread of airborne infections.

    Edmunds WJ, O'Callaghan CJ, Nokes DJ.

    Proc Biol Sci. 1997 Jul 22;264(1384):949-57.PMID: 9263464 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    Quantification of the contact structure in a feral cattle population and its hypothetical effect on the transmission of bovine herpesvirus 1.

    Mollema L, Koene P, de Jong MC.

    Prev Vet Med. 2006 Dec 18;77(3-4):161-79. Epub 2006 Sep 25.PMID: 16997403 [PubMed - indexed for MEDLINE]Related articles

    9.

    Using time-use data to parameterize models for the spread of close-contact infectious diseases.

    Zagheni E, Billari FC, Manfredi P, Melegaro A, Mossong J, Edmunds WJ.

    Am J Epidemiol. 2008 Nov 1;168(9):1082-90. Epub 2008 Sep 18.PMID: 18801889 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    The impact of contact structure on infectious disease control: influenza and antiviral agents.

    Duerr HP, Schwehm M, Leary CC, De Vlas SJ, Eichner M.

    Epidemiol Infect. 2007 Oct;135(7):1124-32. Epub 2007 Feb 9.PMID: 17288643 [PubMed - indexed for MEDLINE]Related articles

    11.

    The effect of network mixing patterns on epidemic dynamics and the efficacy of disease contact tracing.

    Kiss IZ, Green DM, Kao RR.

    J R Soc Interface. 2008 Jul 6;5(24):791-9.PMID: 18055417 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    Social contact networks for the spread of pandemic influenza in children and teenagers.

    Glass LM, Glass RJ.

    BMC Public Health. 2008 Feb 14;8:61.PMID: 18275603 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    Susceptible-infected-recovered epidemics in dynamic contact networks.

    Volz E, Meyers LA.

    Proc Biol Sci. 2007 Dec 7;274(1628):2925-33. Erratum in: Proc Biol Sci. 2008 Dec 22;275(1653):2898. PMID: 17878137 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    Social mixing patterns for transmission models of close contact infections: exploring self-evaluation and diary-based data collection through a web-based interface.

    Beutels P, Shkedy Z, Aerts M, Van Damme P.

    Epidemiol Infect. 2006 Dec;134(6):1158-66. Epub 2006 May 17.PMID: 16707031 [PubMed - indexed for MEDLINE]Related articles

    15.

    Modelling based on Australian HIV notifications data suggests homosexual age mixing is primarily assortative.

    Wilson DP.

    J Acquir Immune Defic Syndr. 2009 Jul 1;51(3):356-60.PMID: 19582897 [PubMed - indexed for MEDLINE]Related articles

    16.

    Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents.

    Wallinga J, Teunis P, Kretzschmar M.

    Am J Epidemiol. 2006 Nov 15;164(10):936-44. Epub 2006 Sep 12.PMID: 16968863 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    Antiretroviral post-exposure prophylaxis (PEP) for occupational HIV exposure.

    Young TN, Arens FJ, Kennedy GE, Laurie JW, Rutherford G.

    Cochrane Database Syst Rev. 2007 Jan 24;(1):CD002835. Review.PMID: 17253483 [PubMed - indexed for MEDLINE]Related articles

    18.

    Network epidemic models with two levels of mixing.

    Ball F, Neal P.

    Math Biosci. 2008 Mar;212(1):69-87. Epub 2008 Jan 11.PMID: 18280521 [PubMed - indexed for MEDLINE]Related articles

    19.

    Information-related changes in contact patterns may trigger oscillations in the endemic prevalence of infectious diseases.

    d'Onofrio A, Manfredi P.

    J Theor Biol. 2009 Feb 7;256(3):473-8. Epub 2008 Oct 17.PMID: 18992258 [PubMed - indexed for MEDLINE]Related articles

    20.

    Mind the gap: the role of time between sex with two consecutive partners on the transmission dynamics of gonorrhea.

    Chen MI, Ghani AC, Edmunds J.

    Sex Transm Dis. 2008 May;35(5):435-44.PMID: 18446084 [PubMed - indexed for MEDLINE]Related articles

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