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Rob van der Mei

Biographic Data

ID6780009
NAMERob van der Mei
GIVEN NAMESRob
FAMILY NAMEvan der Mei
SIGNATUREVAN DER MEI R
AFFILIATIONSCentrum Wiskunde & Informatica
ORCID0000-0002-5685-5310
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Forecasting call and chat volumes at online helplines for mental health

    Open Access•Tim Rens de Boer, Saskia Mérelle et al.•ARTICLE•BMC Public Health•2023

    (S)ARIMA models can best be used to forecast the number of daily chats and phone calls with a MAPE of less than 10 in short-term forecasting. These models perform better than other models showing that the number of arrivals depends on historical data. These forecasts can be used as support for planning the number of counselors needed. Furthermore, the questionnaire data show that the workload experienced by senior counselors is more dependent on …

  • Avoiding Hospital Admissions and Delayed Transfers of Care by Improved Access to Intermediate Care

    Open Access•Rebekka Arntzen, Judith Van Den Besselaar et al.•ARTICLE•International Journal of…•2023

    Objective: The current waiting times for intermediate care in the Netherlands prohibit timely access, leading to unwanted and costly hospital admissions. For the city of Amsterdam, we propose alternative policies for improvement of intermediate care and estimate the effects on the waiting times, hospitalization, and the number of patient replacements. Design: Discrete Event Simulation (DES) study. Participants: Data was used of older adults that …

  • Detecting changes in help seeker conversations on a suicide prevention helpline during the Covid− 19 pandemic

    Open Access•Salim Salmi, Saskia Mérelle et al.•ARTICLE•BMC Public Health•2022

    While mentions of distraction, social interaction and plans for suicide decreased, expressions of gratefulness for the helpline increased, highlighting the importance of contact to help seekers during the lockdown. Help seekers under 30, male or who live alone, showed changes that negatively related to suicidality and should be monitored closely

  • Forecasting Spatio-Temporal Variation in Residential Burglary with the Integrated Laplace Approximation Framework

    Open Access•Maria Mahfoud, Wim Bernasco et al.•ARTICLE•Journal of Quantitative Criminology•2021

  • Identifying socio-demographic risk factors for suicide using data on an individual level

    Open Access•Guus Berkelmans, Rob van der Mei et al.•ARTICLE•BMC Public Health•2021

    We confirmed previously known risk factors such as male gender, middle-age, and low income and found that they are risk factors that are robust to intercorrelation. We found that debt and urbanicity were mostly insignificant and found that the regional differences found in raw frequencies are mostly explained away after correction of correlating risk factors, indicating that these differences were primarily caused due to the differences in the de…

  • Demographic Risk Factors for Suicide among Youths in The Netherlands

    Open Access•Guus Berkelmans, Rob van der Mei et al.•ARTICLE•International Journal of…•2020

    In 2000 to 2016 the highest number of suicides among Dutch youths under 20 in any given year was 58 in 2013. In 2017 this number increased to 81 youth suicides. To get more insight in what types of youths died by suicide, particularly in recent years (2013-2017) we looked at micro-data of Statistics Netherlands and counted suicides among youths till 23, split out along gender, age, regions, immigration background and place in household and compar…

  • Can an Emoji a Day Keep the Doctor Away? An Explorative Mixed-Methods Feasibility Study to Develop a Self-Help App for Youth With Mental Health Problems

    Open Access•Levi Van Dam, Sianne Rietstra et al.•ARTICLE•Frontiers in Psychiatry•2019

    Today's smartphones allow for a wide range of "big data" measurement, for example, ecological momentary assessment (EMA), whereby behaviours are repeatedly assessed within a person's natural environment. With this type of data, we can better understand - and predict - risk for behavioral and health issues and opportunities for (self-monitoring) interventions. In this mixed-methods feasibility study, through convenience sampling we collected data …

No prominent works on this page.

  • Can an Emoji a Day Keep the Doctor Away? An Explorative Mixed-Methods Feasibility Study to Develop a Self-Help App for Youth With Mental Health Problems

    Open Access•Levi Van Dam, Sianne Rietstra et al.•ARTICLE•Frontiers in Psychiatry•2019

    Today's smartphones allow for a wide range of "big data" measurement, for example, ecological momentary assessment (EMA), whereby behaviours are repeatedly assessed within a person's natural environment. With this type of data, we can better understand - and predict - risk for behavioral and health issues and opportunities for (self-monitoring) interventions. In this mixed-methods feasibility study, through convenience sampling we collected data …

  • Demographic Risk Factors for Suicide among Youths in The Netherlands

    Open Access•Guus Berkelmans, Rob van der Mei et al.•ARTICLE•International Journal of…•2020

    In 2000 to 2016 the highest number of suicides among Dutch youths under 20 in any given year was 58 in 2013. In 2017 this number increased to 81 youth suicides. To get more insight in what types of youths died by suicide, particularly in recent years (2013-2017) we looked at micro-data of Statistics Netherlands and counted suicides among youths till 23, split out along gender, age, regions, immigration background and place in household and compar…

  • Forecasting Spatio-Temporal Variation in Residential Burglary with the Integrated Laplace Approximation Framework

    Open Access•Maria Mahfoud, Wim Bernasco et al.•ARTICLE•Journal of Quantitative Criminology•2021

  • Identifying socio-demographic risk factors for suicide using data on an individual level

    Open Access•Guus Berkelmans, Rob van der Mei et al.•ARTICLE•BMC Public Health•2021

    We confirmed previously known risk factors such as male gender, middle-age, and low income and found that they are risk factors that are robust to intercorrelation. We found that debt and urbanicity were mostly insignificant and found that the regional differences found in raw frequencies are mostly explained away after correction of correlating risk factors, indicating that these differences were primarily caused due to the differences in the de…

  • Detecting changes in help seeker conversations on a suicide prevention helpline during the Covid− 19 pandemic

    Open Access•Salim Salmi, Saskia Mérelle et al.•ARTICLE•BMC Public Health•2022

    While mentions of distraction, social interaction and plans for suicide decreased, expressions of gratefulness for the helpline increased, highlighting the importance of contact to help seekers during the lockdown. Help seekers under 30, male or who live alone, showed changes that negatively related to suicidality and should be monitored closely

  • Forecasting call and chat volumes at online helplines for mental health

    Open Access•Tim Rens de Boer, Saskia Mérelle et al.•ARTICLE•BMC Public Health•2023

    (S)ARIMA models can best be used to forecast the number of daily chats and phone calls with a MAPE of less than 10 in short-term forecasting. These models perform better than other models showing that the number of arrivals depends on historical data. These forecasts can be used as support for planning the number of counselors needed. Furthermore, the questionnaire data show that the workload experienced by senior counselors is more dependent on …

  • Avoiding Hospital Admissions and Delayed Transfers of Care by Improved Access to Intermediate Care

    Open Access•Rebekka Arntzen, Judith Van Den Besselaar et al.•ARTICLE•International Journal of…•2023

    Objective: The current waiting times for intermediate care in the Netherlands prohibit timely access, leading to unwanted and costly hospital admissions. For the city of Amsterdam, we propose alternative policies for improvement of intermediate care and estimate the effects on the waiting times, hospitalization, and the number of patient replacements. Design: Discrete Event Simulation (DES) study. Participants: Data was used of older adults that …

Medicine (5 works) · Computer Science (4 works) · Medical emergency (3 works) · Mental Health Treatment and Access (3 works) · Poison control (3 works) · Public health (3 works) · Suicide and Self-Harm Studies (3 works) · Suicide prevention (3 works) · Applied Psychology (2 works) · Applied Psychology (2 works)

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