MOLENBERGHS, Geert

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Full Name
MOLENBERGHS, Geert
Email
geert.molenberghs@uhasselt.be
 
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Publications

Refined By:
Internal UHasselt:  HENS, Niel
Internal UHasselt:  NEYENS, Thomas

Results 1-5 of 5 (Search time: 0.002 seconds).

Issue DateTitleContributor(s)TypeCat.
12023A linear mixed model to estimate COVID-19-induced excess mortalityVERBEECK, Johan; FAES, Christel; NEYENS, Thomas; HENS, Niel; VERBEKE, Geert; Deboosere, Patrick; MOLENBERGHS, GeertJournal ContributionA1
22022A spatial model to jointly analyze self-reported survey data of COVID-19 symptoms and official COVID-19 incidence dataVRANCKX, Maren; FAES, Christel; MOLENBERGHS, Geert; HENS, Niel; Beutels, Philippe; Van Damme , Pierre; AERTS, Jan; PETROF, Oana; Pepermans, Koen; NEYENS, ThomasJournal ContributionA1
32022Estimating COVID-19-Related Excess Mortality Excluding Seasonal Phenomena in BelgiumVERBEECK, Johan; FAJGENBLAT, Maxime; WILLEM, Lander; NEYENS, Thomas; FAES, Christel; HENS, Niel; Deboosere, Patrick; VERBEKE, Geert; MOLENBERGHS, GeertJournal ContributionA1
42020Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European countryMOLENBERGHS, Geert; BUYSE, Marc; ABRAMS, Steven; HENS, Niel; Beutels, Philippe; FAES, Christel; VERBEKE, Geert; Van Damme, Pierre; Goossens, Herman; NEYENS, Thomas; HERZOG, Sereina; Theeten, Heidi; Pepermans, Koen; Abad, Ariel Alonso; VAN KEILEGOM, Ingrid; Speybroeck, Niko; LEGRAND, Catherine; De Buyser, Stefanie; Hulstaert, FrankJournal ContributionA1
52020Can COVID-19 symptoms as reported in a large-scale online survey be used to optimise spatial predictions of COVID-19 incidence risk in Belgium?NEYENS, Thomas; FAES, Christel; VRANCKX, Maren; Pepermans, K; HENS, Niel; Van Damme, P; MOLENBERGHS, Geert; AERTS, Jan; Beutels, PJournal ContributionA1