Elderly people's perceptions on the use of mobile phones to support the self-management of long-term illnesses at Kiruddu National Referral Hospital.

Introduction: The global estimate of the aging population is progressively increasing in low and middle-income countries and this is accompanied by the limitations associated with the need for equitable and efficient healthcare delivery among this dire population. Unfortunately, despite the increasing numbers, the adoption of mobile phones is not balanced in the different populations with research showing young persons' adoption rate is higher than that of elderly persons. Objective: This current study was conducted to identify elderly people's perceptions of the use of mobile phones to support the self-management of long-term illnesses at Kiruddu National Referral Hospital. Methods: This descriptive-cross-sectional design study was conducted on a sample population of 30 elderly individuals older than 60 years admitted at the outpatient department of Kiruddu National Referral Hospital, Kampala, Uganda. We conducted face-to-face interviews following an interview guide and one focus group discussion. We later used a feature mobile phone and a tablet mobile phone to assess the individual ease of use of each device. The audio recordings were professionally transcribed and transcripts were coded into NVIVO version 12 analysis software for thematic analysis. Results: Almost all of the respondents who visited the facility had an ailment that hindered their full utilization of the mobile phone to support their self-care. This together with other factors like financial constraints, lack of support from the health workers on how to use mobile phones to support health, inadequate support from the facility, and cost of mobile data among others. Background and Conclusion: This study provides empirical evidence that there is hardly a known mobile phone adoption model to enable policymakers, systems developers, and health workers to promote the elderly population's use of mobile phones to manage their long-term illnesses in Uganda.

The interplay of psychological resilience and adolescent mobile phone addiction in Henan province, China: insights from latent class analysis.

Background: The aim of this study was to classify distinct subgroups of adolescents based on the severity levels of their mobile phone addiction and to investigate how these groups differed in terms of their psychosocial characteristics. We surveyed a total of 2,230 adolescents using three different questionnaires to assess the severity of their mobile phone addiction, stress, anxiety, depression, psychological resilience, and personality. Latent class analysis was employed to identify the subgroups, and we utilized Receiver Operating Characteristic (ROC) curves and multinomial logistic regression for statistical analysis. All data analyses were conducted using SPSS 26.0 and Mplus 8.5. Methods: We classified the subjects into subgroups based on their mobile phone addiction severity, and the results revealed a clear pattern with a three-class model based on the likelihood level of mobile phone addiction (p < 0.05). We examined common trends in psychosocial traits such as age, grade at school, parental education level, anxiety levels, and resilience. ROC analysis of sensitivity versus 1-specificity for various mobile phone addiction index (MPAI) scores yielded an area under the curve (AUC) of 0.893 (95% CI, 0.879 to 0.905, p < 0.001). We also determined diagnostic value indices for potential cutoff points ranging from 8 to 40. The optimal cutoff value for MPAI was found to be >14, which corresponded to the maximum Youden index (Youden index = 0.751). Results: The latent classification process in this research confirmed the existence of three distinct mobile phone user groups. We also examined the psychosocial characteristics that varied in relation to the severity levels of addiction. Conclusion: This study provides valuable insights into the categorization of adolescents based on the severity of mobile phone addiction and sheds light on the psychosocial characteristics associated with different addiction levels. These findings are expected to enhance our understanding of mobile phone addiction traits and stimulate further research in this area.

Maternal health service utilization in the Jimma Zone, Ethiopia: results from a baseline study for mobile phone messaging interventions.

BACKGROUND: Over the last 20 years, global healthcare has placed a major focus on improving the survival rates of mothers and children, recognizing the potential to prevent a significant number of deaths resulting from pregnancy and childbirth. Nevertheless, there remains an ongoing obstacle to the insufficient utilization of critical obstetric services to achieve optimal health outcomes for pregnant women. This study aimed to assess the magnitude and determinants of maternal healthcare use in the Jimma Zone, Ethiopia. METHODS: Data were obtained from a household survey as part of the baseline assessment of a cluster randomized controlled trial. The study participants comprised 588 women in early pregnancy, specifically those with a gestational age of less than 20 weeks. Logistic regression analysis was employed to identify factors associated with the use of maternal health services. Adjusted odds ratios (AORs) were used to assess the strength of the associations, with significance level set at a p-value ≤ 0.05. RESULTS: The overall prevalence of maternal health service utilization was 87.9% (CI: 85.1, 90.4) for antenatal care, 74.7% (CI: 73.2, 79.9) for health facility delivery, and 60.4% (CI: 56.4, 64.3) for postnatal care. Multivariable logistic analysis revealed that maternal health service use was significantly influenced by access to health facilities (AOR: 6.6; 95% CI: 2.39, 18.16), financial hardship (AOR: 3; 95% CI: 1.97, 4.61), perceived respectful care (AOR: 2.3; 95% CI: 1.07, 5.11), perceived privacy of service provisions (AOR: 2.4; 95% CI: 1.47, 4.06), and attitudes toward maternal service use (AOR: 2.2; 95% CI: 1.48, 3.24). CONCLUSIONS: The study revealed slightly higher rates of antenatal care, facility delivery, and postpartum care utilization. However, there was a low proportion of early antenatal care initiation, and high rates of antenatal care dropout. Mobile phone-based messaging intervention may enhance maternal health service use by addressing factors such as lack of access, economic challenges, disrespectful care, no privacy of procedures, and unfavorable attitudes.

Demographic characteristics and trends of cell phone use while driving citations in selected states in the United States, 2010-2020.

OBJECTIVE: Distracted driving is a leading cause of motor vehicle crashes, and cell phone use is a major source of in-vehicle distraction. Many states in the United States have enacted cell phone use laws to regulate drivers' cell phone use behavior to enhance traffic safety. Numerous studies have examined the effects of such laws on drivers' cell phone use behavior based on self-reported and roadside observational data. However, little was known about who actually violated the laws at the enforcement level. This study sought to uncover the demographic characteristics of drivers cited for cell phone use while driving and whether these characteristics changed over time since the enactment of cell phone laws. METHODS: We acquired useable traffic citation data for 7 states in the United States from 2010 to 2020 and performed descriptive and regression analyses. RESULTS: Male drivers were cited more for cell phone use while driving. Handheld and texting bans were associated with a greater proportion of cited drivers aged 40 and above, compared to texting-only bans. Trends in the citations issued based on drivers' age group following the enactment of different cell phone laws were also uncovered. The proportion of citations issued to drivers aged 60 and above increased over time but the temporal trend remained insignificant when population effect was considered. CONCLUSIONS: This study examined the demographic characteristics of drivers cited for cell phone use while driving in selected states with texting-only bans or handheld and texting bans. The results reveal policy-based differences in trends in the proportion of citations issued to drivers in different age groups.

Use of multimedia devices in pediatric age: risks or advantages? A survey in an Italian center.

BACKGROUND: Nowadays children live in a digital world, exposed to relevant risks for their health and safety. The aim of this study is to investigate the use of multimedia devices in a sample of children and adolescents. METHODS: The study was performed between November 2018 and June 2019 in a third-level University Hospital, recruiting children and adolescents during general or specialistic follow-up visits. Anonymous, age-specific, questionnaires were distributed to 500 children and adolescents and 370 parents. RESULTS: Among children, 25 (17.1%) had their own mobile device, of which 84% Italian. The 54.1% of them uses multimedia devices half an hour/an hour per day and many of them (37.5% of Italian and 40% of foreign) use it without their parents' control. Most of adolescents had a mobile phone since the age of 10-12 years old. WhatsApp (Meta Inc., Cambridge, MA, USA) is the most used social network, followed by Instagram and Facebook. The use of multimedia devices was widespread between teenagers during classroom hours, meals and before sleeping and they are an important mean for cyberbullying. In addition, in the 29.9% of cases there is no correspondence between information given by parents and respective sons/daughters. CONCLUSIONS: This study shows more risks than advantages derived from the use of multimedia devices in children and adolescents. Therefore, it is essential to educate them about their correct and responsible use.

ITC-Net-blend-60: a comprehensive dataset for robust network traffic classification in diverse environments.

OBJECTIVES: Recognition of mobile applications within encrypted network traffic holds considerable effects across multiple domains, encompassing network administration, security, and digital marketing. The creation of network traffic classifiers capable of adjusting to dynamic and unforeseeable real-world settings presents a tremendous challenge. Presently available datasets exclusively encompass traffic data obtained from a singular network environment, thereby restricting their utility in evaluating the robustness and compatibility of a given model. DATA DESCRIPTION: This dataset was gathered from 60 popular Android applications in five different network scenarios, with the intention of overcoming the limitations of previous datasets. The scenarios were the same in the applications set but differed in terms of Internet service provider (ISP), geographic location, device, application version, and individual users. The traffic was generated through real human interactions on physical devices for 3-15 min. The method used to capture the traffic did not require root privileges on mobile phones and filtered out any background traffic. In total, the collected dataset comprises over 48 million packets, 450K bidirectional flows, and 36 GB of data.

The utility of telematics data for estimating the prevalence of driver handheld cellphone use, 2019-2022.

INTRODUCTION: Driver distraction from handheld cellphone use contributes to fatal crashes every year but is underreported in terms of the proportion of crashes attributed to any distraction or cellphone use specifically. Existing methods to estimate the prevalence of cellphone distractions are also limited (e.g., observing drivers stopped at intersections, when crash risk is low). Our study used data from Cambridge Mobile Telematics to estimate the prevalence of drivers' handheld calls and cellphone manipulation while driving, with "cellphone motion" based on movement recorded by the phones' gyroscopes used as a surrogate for manipulation. METHOD: We compared the telematics measures with the National Highway Traffic Safety Administration's roadside observations of driver electronic device use, and logistic regression tested relationships between regional, legislative, and temporal factors and the odds of cellphone behaviors occurring on a trip or at a given point in time. RESULTS: Results showed 3.5% of trips included at least one handheld phone call and 33.3% included at least an instance of cellphone motion, with handheld calls occurring during 0.78% of overall trip duration and cellphone motion during 2.4% of trip duration. CONCLUSIONS: Correspondence between trends in cellphone distractions across regional, legislative, and temporal factors suggest telematics data have considerable utility and appear to complement existing datasets.

Effects of Recall and Selection Biases on Modeling Cancer Risk From Mobile Phone Use: Results From a Case-Control Simulation Study.

BACKGROUND: The largest case-control study (Interphone study) investigating glioma risk related to mobile phone use showed a J-shaped relationship with reduced relative risks for moderate use and a 40% increased relative risk among the 10% heaviest regular mobile phone users, using a categorical risk model based on deciles of lifetime duration of use among ever regular users. METHODS: We conducted Monte Carlo simulations examining whether the reported estimates are compatible with an assumption of no effect of mobile phone use on glioma risk when the various forms of biases present in the Interphone study are accounted for. Four scenarios of sources of error in self-reported mobile phone use were considered, along with selection bias. Input parameters used for simulations were those obtained from Interphone validation studies on reporting accuracy and from using a nonresponse questionnaire. RESULTS: We found that the scenario simultaneously modeling systematic and random reporting errors produced a J-shaped relationship perfectly compatible with the observed relationship from the main Interphone study with a simulated spurious increased relative risk among heaviest users (odds ratio = 1.91) compared with never regular users. The main determinant for producing this J shape was higher reporting error variance in cases compared with controls, as observed in the validation studies. Selection bias contributed to the reduced risks as well. CONCLUSIONS: Some uncertainty remains, but the evidence from the present simulation study shifts the overall assessment to making it less likely that heavy mobile phone use is causally related to an increased glioma risk.

Greater mobile device-prompted phone pickups are associated with daily parent stress.

AIM: No studies have examined notifications as they relate to parent stress. We aimed to examine associations between objective daily mobile device notifications and pickups with daily parenting stress. METHODS: This was a within- and between-subjects, cross-sectional study that took place from 2020 to 2021. The study occurred during the coronavirus disease of 2019 pandemic. Data were collected in a low-contact home visit. This study included 62 parents of 62 children aged 48-71 months. Parents downloaded a passive sensing app on their Android mobile devices collecting data on duration, device notifications and device pickups. Parents completed an end-of-day stress survey for 4 days. We used random effects models to examine the variation of daily stress with smartphone duration, notification frequency, pickup frequency and device-initiated pickups, adjusting for covariates. RESULTS: Parents were on average 37.3 years old (SD ± 5.7) and were predominantly mothers (82.3%). On average, parents received 293 daily notifications and picked up their phones 93 times. Duration of smartphone use and notification frequency were not associated with daily stress. Device-initiated pickups were associated with daily parent stress. CONCLUSION: When notifications prompted parents to pick up their phones more often, parents experienced greater stress.

Distracted on duty: A theory-based exploration of influences leading to mobile phone distracted riding among food delivery workers.

Using mobile phones while riding is a form of distracted riding that significantly elevates crash risk. Regrettably, the factors contributing to mobile phone use while riding (MPUWR) among food delivery riders remain under-researched. Addressing this literature gap, the current study employs the Job Demands-Resources (JD-R) model and various socio-economic factors to examine the determinants of MPUWR. The research incorporates data from 558 delivery workers in Hanoi and Ho Chi Minh City, Vietnam. The study utilizes two analytical methods to empirically test the hypotheses, considering non-linear relationships between variables: Partial Least Square Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN). The results reveal mixed impacts of factors connected to job resources. Although social support appears to deter MPUWR, work autonomy and rewards seemingly encourage it. Furthermore, a predisposition towards risk-taking behaviour significantly impacts the frequency of mobile phone usage among delivery riders. Interestingly, riders with higher incomes and those who have previously been fined by the police exhibit more frequent mobile phone use. The findings of this study present valuable insights into the crucial factors to be addressed when designing interventions aimed at reducing phone use among food delivery riders.

Letter to the editor.

Some have looked forward to the publication of the results of the COSMOS study on brain tumors, because the potential biases from retrospective investigations predominating the search for brain tumor risks of mobile phone use since the late 1990 s were deemed unresolvable by further investigations of that type. Indeed, prospective cohort studies typically have the advantage of being not or less affected by differential exposure misclassification, recall and selection bias, and, as they proceed in the direction of the time arrow, results are more easily interpreted in terms of causation. However, results of the COSMOS study published now in this journal are not of help for the risk assessment of mobile phone use and do not support the conclusions of the authors that their findings "suggest that the cumulative amount of mobile phone use is not associated with the risk of developing glioma, meningioma, or acoustic neuroma".

Network analysis of social anxiety and problematic mobile phone use in Chinese adolescents: A longitudinal study.

Social anxiety is a common comorbid factor of problematic mobile phone use, but the relationship between them from the inside structure has been underexplored. This two-wave longitudinal study aims to identify the central symptoms of problematic mobile phone use and social anxiety, respectively, as well as the bridge symptoms between the two disorders. Furthermore, this study examined the time and gender differences. A total of 3,294 Chinese adolescents were recruited during two waves (T1: January 2023; T2: August 2023), and completed the questionnaires of social anxiety and problematic mobile phone use. Through network analysis, the results showed that 1) the central symptom of problematic mobile phone use was "loss of control" both at T1 and T2, 2) the central symptom of social anxiety was "fear of negative evaluation" both at T1 and T2, and 3) the bridge symptom between social anxiety and problematic mobile phone use was "withdrawal" both at T1 and T2. Moreover, the network comparison test indicated that the nodes of social anxiety were more strongly associated with "craving", "loss of control", and "negative life consequences" of problematic mobile phone use at T2 than at T1. The nodes of social anxiety were more strongly associated with "negative life consequences" of problematic mobile phone use for boys than for girls, while the "fear of negative evaluation" was more strongly associated with "loss of control" for girls than for boys. These findings provide new scientific basis for interventions targeting adolescents who are susceptible to social anxiety and problematic mobile phone use.

Cell Phones in the OR: A Cross-Sectional Study of Norwegian Perioperative Nurses' Knowledge, Practice, and Attitudes.

Few studies have focused on the use of cell phones in the OR. In Norway, researchers sought to assess perioperative nurses' knowledge, practice, and attitudes associated with cell phone use in the OR and distributed a nationwide questionnaire via a social media platform. More than 80% of the 332 respondents thought that cell phones were contaminated and that pathogens could contaminate hands. Almost all respondents brought their phone to work; approximately 61% of respondents carried it in their pocket in the OR. Responses to questions about phone cleaning showed that 39 (11.7%) of the respondents routinely cleaned their phone before entering the OR and 33 (9.9%) of the respondents cleaned it when leaving the OR. Less than 20% of respondents indicated their facility had guidelines for cleaning personal cell phones. Opportunities for improvement in cell phone cleaning in ORs exist and additional research involving all perioperative team members is needed.

New insights into grocery store visits among east Los Angeles residents using mobility data.

In this study, we employed spatially aggregated population mobility data, generated from mobile phone locations in 2021, to investigate patterns of grocery store visits among residents east and northeast of Downtown Los Angeles, in which 60% of the census tracts had previously been designated as "food deserts". Further, we examined whether the store visits varied with neighborhood sociodemographics and grocery store accessibility. We found that residents averaged 0.4 trips to grocery stores per week, with only 13% of these visits within home census tracts, and 40% within home and neighboring census tracts. The mean distance from home to grocery stores was 2.2 miles. We found that people visited grocery stores more frequently when they lived in neighborhoods with higher percentages of Hispanics/Latinos, renters and foreign-born residents, and a greater number of grocery stores. This research highlights the utility of mobility data in elucidating grocery store use, and factors that may facilitate or be a barrier to store access. The results point to limitations of using geographically constrained metrics of food access like food deserts.

The longitudinal relationship between loneliness and both social anxiety and mobile phone addiction among rural left-behind children: A cross-lagged panel analysis.

INTRODUCTION: Left-behind children are a special group that needs urgent attention. Due to enduring separation from their parents, loneliness is considered the most common and prevalent developmental hurdle in the experiences of left-behind children. This longitudinal cross-lagged study examined the direction of the association between loneliness and both internalizing and externalizing symptoms, with considering gender and left-behind status differences. METHODS: A total of 1175 rural Chinese children (48.3% boys, 39.9% left-behind children, Mage = 14.54 ± 1.18 at baseline) completed self-reported loneliness, social anxiety, and mobile phone addiction at two-time points with 6 months intervals. Descriptive statistics, cross-lagged panel analysis, and multiple group analysis were estimated in the present study. RESULTS: Loneliness exacerbated social anxiety and mobile phone addiction, and vice versa. In addition, gender and left-behind status moderated these relationships, with boys more likely to be mobile phone addicted due to loneliness and girls more likely to be lonely due to mobile phone addiction. More importantly, left-behind children with loneliness are more prone to social anxiety and mobile phone addiction, and vice versa, compared with non-left-behind children. CONCLUSIONS: The targeted interventions should be carried out for different genders and left-behind statuses. Particularly for left-behind children, neglecting to address both the symptoms of loneliness and both social anxiety and mobile phone addiction could significantly undermine the efficacy of intervention programs that solely target either one of these afflictions.

Impact of mobile phone usage on dynamic postural control among South Indian college students.

BACKGROUND: Smartphones are a technical marvel that rapidly evolved to play an important role in our lives. One downside to smartphone use is that it significantly worsens posture. It is believed that using a smartphone while walking increases the risk of cognitive decline and the loss of dynamic balance needed to perform functional tasks. OBJECTIVE: The objective of the study was to determine the impact of smartphone usage on dynamic postural control among South Indian college students. METHODS: The study was carried out in a private college with 400 invited students through online social media platforms. The four-square step test and SAS-SV were used to determine the impact of smartphone usage on dynamic postural control. The students were informed about the study process. A total of 250 participants were included based on the inclusion criteria. RESULTS: There was a high percentage of agreement on smartphone usage on dynamic postural control measured with SAS-SV, revealing statistical significance with a mean value of 41.532 and SD of 10.010886. The four-square step test with a mean value of 22.5 and SD of 1.8995878 also proved significant impact. A positive correlation was found between smartphone usage and dynamic postural control, which was analysed using Pearson's correlation coefficient of 0.90130. CONCLUSION: A significant correlation was noted between mobile usage and dynamic balance. Smartphones can have a negative impact on dynamic balance by distracting users from their surroundings and increase the risk of falls.

Mobile phone intervention to reduce dropout from treatment at an outpatient mental health service for older people in Nigeria.

Background: Half of older Africans drop out of treatment after a single contact with biomedical mental health services. Objective: This study examined the effect of introducing a mobile phone reminder intervention delivered by volunteering health staff to reduce dropout from an outpatient mental health service for older people in Nigeria. Methods: 405 patients were studied using a quasi-experimental design: 169 who attended clinic pre-intervention (2016-2017) and 236 who attended during intervention (2018-2019). We estimated annual dropout rates, reasons for dropout and predictors of drop-out. Results: We found a trend for decreasing dropout rates during intervention (p<0.001). The most common reasons for dropout were distance to the clinic (19.5%) and unavailability of a caregiver (47.6%). Current single status (O.R =2.02, 95% C. I=1.02-3.99) and treatment without adjunctive pharmacotherapy (O. R=2.14, 95% CI; 1.07-4.26) predicted dropout. Conclusion: Mobile phone call reminders improved treatment engagement in this population. Findings are important for policy to improve access to mental healthcare in Africa.

The Phubbing Scale (PS-8) in the Portuguese population: psychometric properties

Phubbing is defined as ignoring other individuals by using a mobile phone during a face-to-face conversation. The Phubbing Scale (PS) was developed to assess this practice. In this study, we analyze the psychometric properties of the 8-item version of the PS (PS-8) in the Portuguese population, providing validity evidence based on internal structure and on relationships with other variables, and examining item properties, reliability, and measurement invariance across gender. Participants were 391 Portuguese adults (132 men, 259 women) who completed a battery of questionnaires. Confirmatory factor analysis yielded satisfactory goodness-of-fit indices for the two-factor structure (communication disturbance and phone obsession), which was invariant across gender. Item homogeneity and reliability of factor scores (McDonald's omega) were satisfactory. Validity evidence based on relationships with other variables was provided by positive associations with time spent on the Internet on weekdays and at the weekend, time spent on social networking sites, number of social networks used, Internet addiction, problematic mobile phone use, Facebook intrusion, fear of missing out, and depression. These associations show the addictive component of phubbing and its relationship with mental health. The PS-8 is a short and easy-to-administer scale with adequate psychometric properties for measuring phubbing in the Portuguese population. (AU)

O uso de aplicativo de celular para medir frequência cardíaca e saturação periférica de oxigênio / The use of cellular application to measure heart rate and peripheral oxygen saturation

Avaliar a associação da medida de frequência cardíaca (FC) e saturação periférica de oxigênio (SpO2 ) utilizando um aplicativo de celular e um monitor multiparamétrico. Métodos: Estudo experimental e randomizado entre participantes saudáveis. Investigou o aplicativo Samsung Health® e o monitor multiparamétrico da marca Midway®, modelo: PM-60. O estudo foi estruturado em quatro etapas. Para análise estatística, aplicou correlação de Pearson e Spearman, com nível de significância de 5%. Resultados: Dos 150 participantes a idade média foi de 22,3±4,5 anos, o sexo feminino foi predominante (71,3%). Verificouse forte correlação da FC medida pelo monitor com a FC do aplicativo de celular (r=0,93) indicando correlação positiva (p<0,001). A SpO2 medida por monitor multiparamétrico e pelo aplicativo de celular revelou um r=0,05 (p=0,51), o que atesta uma correlação nula e não significativa. Conclusão: Não houve correlação entre a medida da SpO2 do monitor multiparamétrico e do aplicativo Samsung Health®, não sendo confiável a utilização deste aplicativo para monitorar e gerenciar o sinal vital SpO2 em pessoas saudáveis. A FC medida com o aplicativo é significativa, e pode ser utilizada para monitorar e gerenciar esse sinal vital.

Assess the association of the measure of heart rate (HR) and oxygen saturation (SpO2 ) using a mobile application and a multiparameter monitor. Methods: Study experimental and randomized healthy participants. Investigated the application Samsung Health® and multiparameter monitor Midway® make, model: PM-60. The study was divided into four stages. Statistical analysis was applied Pearson and Spearman correlation with 5% significance level. Results: Of the 150 participants average age was 22.3±4.5 years, females were predominant (71.3%). There was a strong correlation HR measured by the monitor application to cell FC (r=0.93) indicating a positive correlation (p<0.001). SpO2 measured by multiparameter monitor and the mobile application revealed r=0.05 (p=0.51), which demonstrates a zero and no significant correlation. Conclusion: There was no correlation between the SpO2 measurement of the multiparameter monitor and the Samsung Health® app, not being trusted to use this application to monitor and manage the vital sign SpO2 in healthy people. The HR measured with the application is significant, and can be used to monitor and manage this vital sign.

Predicting regional COVID-19 hospital admissions in Sweden using mobility data.

The transmission of COVID-19 is dependent on social mixing, the basic rate of which varies with sociodemographic, cultural, and geographic factors. Alterations in social mixing and subsequent changes in transmission dynamics eventually affect hospital admissions. We employ these observations to model and predict regional hospital admissions in Sweden during the COVID-19 pandemic. We use an SEIR-model for each region in Sweden in which the social mixing is assumed to depend on mobility data from public transport utilisation and locations for mobile phone usage. The results show that the model could capture the timing of the first and beginning of the second wave of the pandemic 3 weeks in advance without any additional assumptions about seasonality. Further, we show that for two major regions of Sweden, models with public transport data outperform models using mobile phone usage. We conclude that a model based on routinely collected mobility data makes it possible to predict future hospital admissions for COVID-19 3 weeks in advance.