Ingemar Johansson Cox

Fastnet+4523811764, +4535335676
E-mailingemar.coxdi.kudk
Webstedhttps://di.ku.dk/english/research/machine-learning/

Universitetsparken 1, 2100 København Ø

Publikationer pr. år

Aktuel forskning

A list of my publications can be found on Google Scholar

16143 Citationer
116 Tidsskriftartikel
99 Bidrag til bog/antologi
27 Patent
17 Andet bidrag
Mere

Estimating the household secondary attack rate and serial interval of COVID-19 using social media
Dhiman, A., Yom-Tov, E., Pellis, L., Edelstein, M., Pebody, R., Hayward, A., House, T., Finnie, T., Guzman, D., Lampos, V., Cox, I. J., Aldridge, R., Beale, S., Byrne, T., Kovar, J., Braithwaite, I., Fragaszy, E., Fong, W. L. E., Geismar, C., Hoskins, S. & 18 flere, Navaratnam, A., Nguyen, V., Patel, P., Shrotri, M., Yavlinsky, A., Hardelid, P., Wijlaars, L., Nastouli, E., Spyer, M., Aryee, A., McKendry, R., Cheng, T., Johnson, A., Michie, S., Gibbs, J., Gilson, R., Rodger, A. & Virus Watch Consortium, dec. 2024, I: npj Digital Medicine. 7, 1, 10 s., 194.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Eyeglasses and risk of COVID-19 transmission - analysis of the Virus Watch Community Cohort study
Virus Watch Collaborative, 2024, I: International Journal of Infectious Diseases. 139, s. 28-33
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Using online search activity for earlier detection of gynaecological malignancy
Barcroft, J. F., Yom-Tov, E., Lampos, V., Ellis, L. B., Guzman, D., Ponce-López, V., Bourne, T., Cox, I. J. & Saso, S., 2024, I: BMC Public Health. 24, 1, 13 s., 608.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Cohort Profile: Virus Watch - understanding community incidence, symptom profiles and transmission of COVID-19 in relation to population movement and behaviour
Byrne, T., Kovar, J., Beale, S., Braithwaite, I., Fragaszy, E., Fong, W. L. E., Geismar, C., Hoskins, S., Navaratnam, A. M. D., Nguyen, V., Patel, P., Shrotri, M., Yavlinsky, A., Hardelid, P., Wijlaars, L., Nastouli, E., Spyer, M., Aryee, A., Cox, I., Lampos, V. & 10 flere, McKendry, R. A., Cheng, T., Johnson, A. M., Michie, S., Gibbs, J., Gilson, R., Rodger, A., Abubakar, I., Hayward, A. & Aldridge, R. W., 2023, I: International Journal of Epidemiology. 52, 5, s. E263-E272
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Neural network models for influenza forecasting with associated uncertainty using Web search activity trends
Morris, M., Hayes, P., Cox, I. J. & Lampos, V., 2023, I: PLOS Computational Biology. 19, 8, e1011392.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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2 Citationer (Scopus)

17 Downloads (Pure)
Deprivation and exposure to public activities during the COVID-19 pandemic in England and Wales
Virus Watch Collaborative, 1 apr. 2022, I: Journal of Epidemiology and Community Health. 76, 4, s. 319-326
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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E-NER - An Annotated Named Entity Recognition Corpus of Legal Text
Au, T. W. T., Lampos, V. & Cox, I. J., 2022, NLLP 2022 - Natural Legal Language Processing Workshop 2022, Proceedings of the Workshop. Association for Computational Linguistics (ACL), s. 246-255 10 s.
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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Nucleocapsid and spike antibody responses following virologically confirmed SARS-CoV-2 infection: an observational analysis in the Virus Watch community cohort
Virus Watch Collaborative, 2022, I: International Journal of Infectious Diseases. 123, s. 104-111
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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25 Citationer (Scopus)

Ingemar Johansson Cox

Personlig profil

Aktuel forskning

Samarbejde og topforskningsområder i de sidste fem år

Dyk ned i detaljerne

Estimating the household secondary attack rate and serial interval of COVID-19 using social media

Eyeglasses and risk of COVID-19 transmission - analysis of the Virus Watch Community Cohort study

Using online search activity for earlier detection of gynaecological malignancy

Cohort Profile: Virus Watch - understanding community incidence, symptom profiles and transmission of COVID-19 in relation to population movement and behaviour

Neural network models for influenza forecasting with associated uncertainty using Web search activity trends

Deprivation and exposure to public activities during the COVID-19 pandemic in England and Wales

E-NER - An Annotated Named Entity Recognition Corpus of Legal Text

Nucleocapsid and spike antibody responses following virologically confirmed SARS-CoV-2 infection: an observational analysis in the Virus Watch community cohort