Geert Molenberghs
Datos Biográficos
| ID | 295516 |
|---|---|
| NOMBRE | Geert Molenberghs |
| NOMBRES | Geert |
| APELLIDO | Molenberghs |
| FIRMA | MOLENBERGHS G |
| AFILIACIONES | Hasselt University |
| ORCID | 0000-0002-6453-5448 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 17 |
| TOTAL DE CITAS | 26 |
| TOTAL COMO AUTOR | 17 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2006 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
Students’ willingness to engage with feedback from central tests
Translating the Covid-19 epidemiological situation into policies and measures
The COVID-19 pandemic led to sustained surveillance efforts, which made unprecedented volumes and types of data available. In Belgium, these data were used to conduct a targeted and regular assessment of the epidemiological situation. In addition, management tools were developed, incorporating key indicators and thresholds, to define risk levels and offer guidance to policy makers. Categorizing risk into various levels provided a stable framework…
Height-diameter models
Forest scientists use regression models widely, particularly for height-diameter modeling. These models offer several benefits for estimating height in homogeneous or non-homogeneous stands. The original models for height estimation based on diameter at breast height have been extended to include other variables, thanks to technological advancements. The purpose of this article is to provide a literature review using the methodology outlined by C…
Unraveling the impact of the Covid-19 pandemic on the mortality trends in Belgium between 2020–2022
Despite a consistent decline in COVID-19 reported mortality over this three-year period, it remains imperative to meticulously monitor mortality trends in the years ahead
A longitudinal perspective on perceived vulnerability to disease during the Covid-19 pandemic in Belgium
During the coronavirus disease 2019 pandemic, individuals relied heavily on media sources to stay informed about the disease and public health measures. However, differences exist in the type and frequency of news media consumption, which can be linked to their perceived vulnerability to disease. In this longitudinal study, 1000 Flemish (Belgium) individuals were followed from March 2020 until September 2020, focussing on the evolution in perceiv…
Key risk factors associated with fractal dimension based geographical clustering of Covid-19 data in the Flemish and Brussels region, Belgium
Introduction: COVID-19 remains a major concern globally. Therefore, it is important to evaluate COVID-19's rapidly changing trends. The fractal dimension has been proposed as a viable method to characterize COVID-19 curves since epidemic data is often subject to considerable heterogeneity. In this study, we aim to investigate the association between various socio-demographic factors and the complexity of the COVID-19 curve as quantified through i…
The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic
The COVID-19 pandemic has brought about valuable insights regarding models, data, and experiments. In this narrative review, we summarised the existing literature on these three themes, exploring the challenges of providing forecasts, the requirement for real-time linkage of health-related datasets, and the role of ‘experimentation’ in evaluating interventions. This literature review encourages us to broaden our perspective for the future, acknow…
Do optimism and moralization predict vaccination? A five-wave longitudinal study
OBJECTIVE: To examine if personal and comparative optimism, perceived effectiveness, and moralization of vaccination predict people's decision to get vaccinated. METHODS: ≍ 5,000/wave) in Belgium over a six months period (December 2020-May 2021) during the COVID-19 pandemic. Among the predictors were demographic factors, personal and comparative optimism for three aspects of COVID-19 (infection, severe disease, good outcome), perceived effectiven…
Longitudinal social contact data analysis
CoMix data highlights the variability of contact patterns across age groups and time, revealing the mechanisms governing the spread/transmission of COVID-19/airborne diseases in the population. Although such longitudinal contact surveys are prone to the under-reporting due to participant fatigue and drop-out, we showed that these factors can be identified and corrected using NBI GAMLSS. This information can be used to improve the design of simila…
Self-uniqueness beliefs and adherence to recommended precautions. A 5-wave longitudinal Covid-19 study
The Effect of Transborder Mobility on Covid-19 Incidences in Belgium
Belgium is a geographically small country bordered by The Netherlands, France, Germany, and Luxembourg, with intense transborder mobility, defined as mobility in the border regions with neighboring countries. It is therefore of interest to examine how the 14-day COVID-19 confirmed case incidence in the border regions is influenced by that of the adjacent regions in the neighboring countries and thus, whether and how it differs from that in the ad…
Confirmed Covid-19 Cases per Economic Activity during Autumn Wave in Belgium
Some occupational sectors, such as human health and care, food service, cultural and sport activities, have been associated with a higher risk of SARS-CoV-2 infection than other sectors. To curb the spread of SARS-CoV-2, it is preferable to apply targeted non-pharmaceutical interventions on selected economic sectors, rather than a full lockdown. However, the effect of these general and sector-specific interventions on the virus circulation has on…
Thyroid Cancer Incidence around the Belgian Nuclear Sites, 2000–2014
The present study investigates whether there is an excess incidence of thyroid cancer among people living in the vicinity of the nuclear sites in Belgium. Adjusted Rate Ratios were obtained from Poisson regressions for proximity areas of varying sizes. In addition, focused hypothesis tests and generalized additive models were performed to test the hypothesis of a gradient in thyroid cancer incidence with increasing levels of surrogate exposures. …
Do diligent students perform better? Complex relations between student and course characteristics, study time, and academic performance in higher education
Research has reported equivocal results regarding the relationship between study time investment and academic performance in higher education. In the setting of the active, assignment-based teaching approach at Hasselt University (Belgium), the present study aimed (a) to further clarify the role of study time in academic performance, while taking into account student characteristics (e.g., gender, prior domain knowledge), and (b) to examine the r…
Functionally Unidimensional Item Response Models for Multivariate Binary Data
The problem of fitting unidimensional item response models to potentially multidimensional data has been extensively studied. The focus of this article is on response data that have a strong dimension but also contain minor nuisance dimensions. Fitting a unidimensional model to such multidimensional data is believed to result in ability estimates that represent a combination of the major and minor dimensions. We conjecture that the underlying dim…
A Method for Evaluating Mode Effects in Mixed-mode Surveys
Survey designs in which data from different groups of respondents are collected by different survey modes have become increasingly popular. However, such mixed-mode (MM) designs lead to a confounding of selection effects and measurement effects (measurement error) caused by mode differences. Consequently, MM data have poor quality. Nevertheless, comparing MM data with data from a comparable single-mode survey allows researchers to measure selecti…
Modeling Partially Incomplete Marital Satisfaction Data
The authors analyze data on marital satisfaction, obtained from couples at two distinct moments in time (1990, 1995). The data are of a bivariate longitudinal type. Moreover, some couples provide incomplete records only, usually because the 1995 follow-up interview has not taken place. The authors propose a hierarchical modeling strategy that takes all these features into account and is more generally valid than a classical complete case or singl…
A Method for Evaluating Mode Effects in Mixed-mode Surveys
Survey designs in which data from different groups of respondents are collected by different survey modes have become increasingly popular. However, such mixed-mode (MM) designs lead to a confounding of selection effects and measurement effects (measurement error) caused by mode differences. Consequently, MM data have poor quality. Nevertheless, comparing MM data with data from a comparable single-mode survey allows researchers to measure selecti…
Do diligent students perform better? Complex relations between student and course characteristics, study time, and academic performance in higher education
Research has reported equivocal results regarding the relationship between study time investment and academic performance in higher education. In the setting of the active, assignment-based teaching approach at Hasselt University (Belgium), the present study aimed (a) to further clarify the role of study time in academic performance, while taking into account student characteristics (e.g., gender, prior domain knowledge), and (b) to examine the r…
Self-uniqueness beliefs and adherence to recommended precautions. A 5-wave longitudinal Covid-19 study
Modeling Partially Incomplete Marital Satisfaction Data
The authors analyze data on marital satisfaction, obtained from couples at two distinct moments in time (1990, 1995). The data are of a bivariate longitudinal type. Moreover, some couples provide incomplete records only, usually because the 1995 follow-up interview has not taken place. The authors propose a hierarchical modeling strategy that takes all these features into account and is more generally valid than a classical complete case or singl…
A Method for Evaluating Mode Effects in Mixed-mode Surveys
Survey designs in which data from different groups of respondents are collected by different survey modes have become increasingly popular. However, such mixed-mode (MM) designs lead to a confounding of selection effects and measurement effects (measurement error) caused by mode differences. Consequently, MM data have poor quality. Nevertheless, comparing MM data with data from a comparable single-mode survey allows researchers to measure selecti…
Functionally Unidimensional Item Response Models for Multivariate Binary Data
The problem of fitting unidimensional item response models to potentially multidimensional data has been extensively studied. The focus of this article is on response data that have a strong dimension but also contain minor nuisance dimensions. Fitting a unidimensional model to such multidimensional data is believed to result in ability estimates that represent a combination of the major and minor dimensions. We conjecture that the underlying dim…
Do diligent students perform better? Complex relations between student and course characteristics, study time, and academic performance in higher education
Research has reported equivocal results regarding the relationship between study time investment and academic performance in higher education. In the setting of the active, assignment-based teaching approach at Hasselt University (Belgium), the present study aimed (a) to further clarify the role of study time in academic performance, while taking into account student characteristics (e.g., gender, prior domain knowledge), and (b) to examine the r…
Thyroid Cancer Incidence around the Belgian Nuclear Sites, 2000–2014
The present study investigates whether there is an excess incidence of thyroid cancer among people living in the vicinity of the nuclear sites in Belgium. Adjusted Rate Ratios were obtained from Poisson regressions for proximity areas of varying sizes. In addition, focused hypothesis tests and generalized additive models were performed to test the hypothesis of a gradient in thyroid cancer incidence with increasing levels of surrogate exposures. …
Confirmed Covid-19 Cases per Economic Activity during Autumn Wave in Belgium
Some occupational sectors, such as human health and care, food service, cultural and sport activities, have been associated with a higher risk of SARS-CoV-2 infection than other sectors. To curb the spread of SARS-CoV-2, it is preferable to apply targeted non-pharmaceutical interventions on selected economic sectors, rather than a full lockdown. However, the effect of these general and sector-specific interventions on the virus circulation has on…
The Effect of Transborder Mobility on Covid-19 Incidences in Belgium
Belgium is a geographically small country bordered by The Netherlands, France, Germany, and Luxembourg, with intense transborder mobility, defined as mobility in the border regions with neighboring countries. It is therefore of interest to examine how the 14-day COVID-19 confirmed case incidence in the border regions is influenced by that of the adjacent regions in the neighboring countries and thus, whether and how it differs from that in the ad…
A longitudinal perspective on perceived vulnerability to disease during the Covid-19 pandemic in Belgium
During the coronavirus disease 2019 pandemic, individuals relied heavily on media sources to stay informed about the disease and public health measures. However, differences exist in the type and frequency of news media consumption, which can be linked to their perceived vulnerability to disease. In this longitudinal study, 1000 Flemish (Belgium) individuals were followed from March 2020 until September 2020, focussing on the evolution in perceiv…
Key risk factors associated with fractal dimension based geographical clustering of Covid-19 data in the Flemish and Brussels region, Belgium
Introduction: COVID-19 remains a major concern globally. Therefore, it is important to evaluate COVID-19's rapidly changing trends. The fractal dimension has been proposed as a viable method to characterize COVID-19 curves since epidemic data is often subject to considerable heterogeneity. In this study, we aim to investigate the association between various socio-demographic factors and the complexity of the COVID-19 curve as quantified through i…
The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic
The COVID-19 pandemic has brought about valuable insights regarding models, data, and experiments. In this narrative review, we summarised the existing literature on these three themes, exploring the challenges of providing forecasts, the requirement for real-time linkage of health-related datasets, and the role of ‘experimentation’ in evaluating interventions. This literature review encourages us to broaden our perspective for the future, acknow…
Do optimism and moralization predict vaccination? A five-wave longitudinal study
OBJECTIVE: To examine if personal and comparative optimism, perceived effectiveness, and moralization of vaccination predict people's decision to get vaccinated. METHODS: ≍ 5,000/wave) in Belgium over a six months period (December 2020-May 2021) during the COVID-19 pandemic. Among the predictors were demographic factors, personal and comparative optimism for three aspects of COVID-19 (infection, severe disease, good outcome), perceived effectiven…
Longitudinal social contact data analysis
CoMix data highlights the variability of contact patterns across age groups and time, revealing the mechanisms governing the spread/transmission of COVID-19/airborne diseases in the population. Although such longitudinal contact surveys are prone to the under-reporting due to participant fatigue and drop-out, we showed that these factors can be identified and corrected using NBI GAMLSS. This information can be used to improve the design of simila…
Self-uniqueness beliefs and adherence to recommended precautions. A 5-wave longitudinal Covid-19 study
Translating the Covid-19 epidemiological situation into policies and measures
The COVID-19 pandemic led to sustained surveillance efforts, which made unprecedented volumes and types of data available. In Belgium, these data were used to conduct a targeted and regular assessment of the epidemiological situation. In addition, management tools were developed, incorporating key indicators and thresholds, to define risk levels and offer guidance to policy makers. Categorizing risk into various levels provided a stable framework…
Height-diameter models
Forest scientists use regression models widely, particularly for height-diameter modeling. These models offer several benefits for estimating height in homogeneous or non-homogeneous stands. The original models for height estimation based on diameter at breast height have been extended to include other variables, thanks to technological advancements. The purpose of this article is to provide a literature review using the methodology outlined by C…
Unraveling the impact of the Covid-19 pandemic on the mortality trends in Belgium between 2020–2022
Despite a consistent decline in COVID-19 reported mortality over this three-year period, it remains imperative to meticulously monitor mortality trends in the years ahead
Students’ willingness to engage with feedback from central tests
Medicine (13 obras) · Computer Science (7 obras) · COVID-19 epidemiological studies (7 obras) · Mathematics (7 obras) · Demography (6 obras) · Environmental health (6 obras) · Pandemic (6 obras) · Psychology (6 obras) · Disease (5 obras) · Political science (5 obras)