VRANCKX, Maren

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Full Name
VRANCKX, Maren
Email
maren.vranckx@uhasselt.be
 
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Publications

Results 1-7 of 7 (Search time: 0.026 seconds).

Issue DateTitleContributor(s)TypeCat.
12023A 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
22022Disease mapping method comparing the spatial distribution of a disease with a control diseasePETROF, Oana; NEYENS, Thomas; VRANCKX, Maren; Nuyts, Valerie; Nemery, Benoit; Nackaerts, Kristiaan; FAES, ChristelJournal ContributionA1
32022Individual factors influencing COVID-19 vaccine acceptance in between and during pandemic waves (July–December 2020)Valckx, Sara; CREVECOEUR, Jonas; Verelst, Frederik; VRANCKX, Maren; Hendrickx, Greet; HENS, Niel; Van Damme , Pierre; Pepermans, Koen; Beutels, Philippe; NEYENS, ThomasJournal ContributionA1
42021Software implementations and COVID-19 applications in disease mappingVRANCKX, MarenTheses and DissertationsT1
252021The (in)stability of Bayesian model selection criteria in disease mappingVRANCKX, Maren; NEYENS, Thomas; FAES, ChristelJournal ContributionA1
262020Can 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
272019Comparison of different software implementations for spatial disease mappingVRANCKX, Maren; NEYENS, Thomas; FAES, ChristelJournal ContributionA1