Inger Fabris-Rotelli

Prof. Inger Fabris-Rotelli

Department of Statistics, University of Pretoria, Pretoria 0002, South Africa
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2013 in International Journal of Project Management
Verified
Journal Article
Closed access
TBTaryn Jane Bond-Barnard
Taryn Jane Bond-Barnard
HSHerman Steyn
Herman Steyn
IFInger Fabris-Rotelli
Inger Fabris-Rotelli

21 January 2022 in International Journal of Biometeorology
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Journal Article
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APArminn Potgieter
Arminn Potgieter
IFInger Fabris-Rotelli
Inger Fabris-Rotelli
GBGregory Breetzke
Gregory Breetzke
Caradee Y WrightCaradee Y Wright
Caradee Y Wright

24 October 2019 in GeoJournal
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Journal Article
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GBGregory D. Breetzke
Gregory D. Breetzke
IFInger Fabris-Rotelli
Inger Fabris-Rotelli
JMJacob Modiba
Jacob Modiba
IEIan S. Edelstein
Ian S. Edelstein

22 October 2021 in Frontiers in Big Data
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Journal Article
Open access
APA. Potgieter
A. Potgieter
IFInger Fabris-Rotelli
Inger Fabris-Rotelli
ZKZ. Kimmie
Z. Kimmie
NDN. Dudeni-Tlhone
N. Dudeni-Tlhone
JHJ. P. Holloway
J. P. Holloway
SKS. Khuluse-Makhanya
S. Khuluse-Makhanya
The COVID-19 pandemic starting in the first half of 2020 has changed the lives of everyone across the world. Reduced mobility was essential due to it being the largest impact possible against the spread of the little understood SARS-CoV-2 virus. To understand the spread, a comprehension of human mobility patterns is needed. The use of mobility data in modelling is thus essential to capture the intrinsic spread through the population. It is necessary to determine to what extent mobility data sources convey the same message of mobility within a region. This paper compares different mobility data sources by constructing spatial weight matrices at a variety of spatial resolutions and further compares the results through hierarchical clustering. We consider four methods for constructing spatial weight matrices representing mobility between spatial units, taking into account distance between spatial units as well as spatial covariates. This provides insight for the user into which data provides what type of information and in what situations a particular data source is most useful.

1 January 2022 in Journal of Oral Science
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Journal Article
Open access
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GBGlynn D. Buchanan
Glynn D. Buchanan
MGMohamed Y. Gamieldien
Mohamed Y. Gamieldien
IFInger Fabris-Rotelli
Inger Fabris-Rotelli
ASAlbert van Schoor
Albert van Schoor
AUAndre Uys
Andre Uys
Purpose: This study investigated the root and canal morphology of the permanent anterior dentition in a Black South African population.Methods: In total 2,343 permanent anterior teeth were evaluated using cone-beam computed tomography images and described according to the Vertucci and Ahmed et al. classifications. Demographic information, root number and internal canal morphology were recorded. Age and sex associations were made using Fisher’s exact test (P < 0.05).Results: All anterior teeth were single-rooted (100%). The most frequent configuration in maxillary anteriors was a single canal (Vertucci Type I/1MXA1). In mandibular anteriors, single canal configurations (Type I/1MDA1) predominated, however 36.6% of mandibular central and 33.9% of lateral incisors displayed two canals. Older subjects (>40 years) demonstrated single canals more than younger subjects (P = 0.0004). Females displayed variations more compared to males (P = 0.002). The two classifications were found to be comparable for evaluation of permanent anterior teeth. Complex configurations were better described using the newer system.Conclusion: The permanent anterior teeth of this population exhibited exclusively single roots and diverse internal characteristics. Clinicians should be aware of anatomical variations, particularly in mandibular incisors, as these may result in adverse endodontic outcomes if not taken into consideration by the treating practitioner.

16 August 2018 in Spatial Statistics
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Journal Article
Closed access
CKChristine Kraamwinkel
Christine Kraamwinkel
IFInger Fabris-Rotelli
Inger Fabris-Rotelli
ASAlfred Stein
Alfred Stein