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

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Philip Gerlee ◽  
Julia Karlsson ◽  
Ingrid Fritzell ◽  
Thomas Brezicka ◽  
Armin Spreco ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Public Transport ◽  
Hospital Admissions ◽  
Regional Hospital ◽  
Mobility Data ◽  
Social Mixing ◽  
The Social ◽  
Mobile Phone Usage ◽  
Future Hospital ◽  
Second Wave

AbstractThe 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.

Mobile Phone Revolution and its Dimensional Social and Economic Impacts in Nigeria's Context

2015 ◽  
pp. 359-390 ◽  
Author(s):  
Okanlade Adesokan Lawal-Adebowale
Keyword(s):  
Mobile Phone ◽  
Information Exchange ◽  
Economic Impacts ◽  
Spatial Interaction ◽  
Communication Tool ◽  
The Social ◽  
Mobile Phone Usage ◽  
Negative Impacts ◽  
Telecom Sector ◽  
Financial Transactions

The emergence of mobile phone telecommunication in the last thirteen years in Nigeria has greatly revolutionized the dynamics of information exchange and usage by group of individuals in the country. Unlike the past years before 2001 whereby physical contacts and/or letter writing were the major means of interaction between individuals that are farther apart on geospatial dimension, spatial interaction is now the order of the day as a result of institutionalisation of the mobile telephony services in the country. By virtue of the telecom sector deregulation in 2001 and competition for dominance by the four major mobile phone network providers in the country, namely Airtel, MTN, Globacom and Etisalat, as much as 162, 719, 517 lines were actively connected in the country with a teledensity of 94.4 as at July 2014. Based on this, exploitation of the communication tools by Nigerian has effected a transformed social and economic condition of the country in terms of attraction of investors into the telecom sector, generation of income for the Nigerian Government, creation of employment opportunities, ease of business and financial transactions as economic impacts. The social impacts of the mobile phone revolution in the country include facilitation of prompt interactive linkages and exchange of information, entertainment and social networking. Other forms of impacts include its influence on educational and health services in the country. Despite the transformation impact of the mobile phone revolution in the country, exploitation of the communication tool for social vices by unscrupulous individuals was too obvious to be underplayed. The negative impacts arising from nefarious acts-mediated mobile phone usage include loss of hard earned income by unsuspecting individuals to swindlers, road accidents as a result of usage of phone while on the wheel and provision of deceptive information by one person to the other while on phone. This notwithstanding, the telecom sector has proven to be of great value to most Nigerian's as it enabled them to readily interact with one another, facilitate business and financial transactions thereby enhancing their social and economic wellbeing.

Mobile Phone Usage and Its Socio-Economic Impacts in Pakistan

2019 ◽  
pp. 112-127
Author(s):  
Sadia Jamil
Keyword(s):  
Mobile Phone ◽  
Rural Areas ◽  
Economic Impacts ◽  
Interesting Case ◽  
Sindh Province ◽  
The Social ◽  
Males And Females ◽  
Mobile Phone Usage ◽  
Urban And Rural Areas ◽  
Mobile Use

Through examining use of mobile in Pakistan's Sindh province, the current chapter presents a unique and interesting case of the socio-economic impacts of mobile use on users' lifestyles. Although there exists an obvious divide between urban and rural areas in terms of impacts of mobile use, the case of Pakistan could serve as an alert to scholars that why mobile use remains limited in narrowing the gap between urban and rural areas against a backdrop of mobile being widely believed to be able to play a big role in narrowing the social and economic gap between urban and rural areas. The author of this chapter found that mobile use was also gender-biased in rural areas, resulting in a gap between males and females as far as social and economic impacts of mobile use on their lifestyles.

Understanding the Impact of Culture on Mobile Phone Usage on Public Places

2011 ◽  
pp. 70-89
Author(s):  
Ishraga Khattab ◽  
Steve Love
Keyword(s):  
Mobile Phone ◽  
Cultural Differences ◽  
Mobile Phones ◽  
Public Transport ◽  
Public Places ◽  
Qualitative Work ◽  
Mobile Phone Usage ◽  
The Uk ◽  
Different Cultures ◽  
The Impact

Over the last several years, the ubiquitous use of mobile phones by people from different cultures has grown enormously. For example, mobile phones are used to perform both private and business conversations. In many cases, mobile phone conversations take place in public places. In this chapter, the authors attempt to understand if cultural differences influence the way people use their mobile phones in public places. The material considered here draws on the existing literature of mobile phones, and quantitative and qualitative work carried out in the UK (as a mature mobile phone market) and the Sudan (that is part of Africa and the Middle East culture with its emerging mobile phone market). The results presented in the chapter indicate that people in the Sudan are less likely to use their mobile phones on public transport or whilst walking down the street, in comparison to their UK counterparts. In addition, the Sudanese are more willing to switch off their mobile phones in places of worship, classes, and meetings. Implications are drawn from the study for the design of mobile phones for different cultures.

The Social Identity of Hosts and Patrons

2018 ◽  
Author(s):  
Christel Lane
Keyword(s):  
World War Ii ◽  
Organizational Identity ◽  
World War ◽  
Social Segregation ◽  
Social Mixing ◽  
The Social ◽  
Late Twentieth ◽  
Nineteenth And Twentieth Centuries ◽  
Post War ◽  
Late Twentieth Century

This chapter analyses inns, taverns, and public houses in their social context, exploring their organizational identity and the social positions of their owners/tenants. It examines how patrons express their class, gender, and national identity by participation in different kinds of sociality. Seventeenth- and eighteenth-century hostelries afforded more opportunities for cross-class sociability than in later centuries. Social mixing was facilitated because the venues fulfilled multiple economic, social, and political functions, thereby providing room for social interaction apart from communal drinking and eating. Yet, even in these earlier centuries, each type of hostelry already had a distinctive class character, shaping its organizational identity. Division along lines of class hardened, and social segregation increased in the nineteenth and twentieth centuries, up to World War II. In the post-War era, increased democratization of society at large became reflected in easier social mixing in pubs. Despite this democratization, during the late twentieth century the dominant image of pubs as a working-class institution persisted.

scholarly journals COVID-19 Inequalities: Individual and Area Socioeconomic Factors (Aragón, Spain)

2021 ◽  
Vol 18 (12) ◽  
pp. 6607
Author(s):  
Isabel Aguilar-Palacio ◽  
Lina Maldonado ◽  
Sara Malo ◽  
Raquel Sánchez-Recio ◽  
Iván Marcos-Campos ◽  
...  
Keyword(s):  
Cohort Study ◽  
Retrospective Cohort ◽  
Social Inequalities ◽  
Deprivation Level ◽  
Social Consequences ◽  
Multilevel Analyses ◽  
The Social ◽  
The Individual ◽  
The Impact ◽  
Second Wave

It is essential to understand the impact of social inequalities on the risk of COVID-19 infection in order to mitigate the social consequences of the pandemic. With this aim, the objective of our study was to analyze the effect of socioeconomic inequalities, both at the individual and area of residence levels, on the probability of COVID-19 confirmed infection, and its variations across three pandemic waves. We conducted a retrospective cohort study and included data from all individuals tested for COVID-19 during the three waves of the pandemic, from March to December 2020 (357,989 individuals) in Aragón (Spain). We studied the effect of inequalities on the risk of having a COVID-19 confirmed diagnosis after being tested using multilevel analyses with two levels of aggregation: individuals and basic healthcare area of residence (deprivation level and type of zone). Inequalities in the risk of COVID-19 confirmed infection were observed at both the individual and area level. There was a predominance of low-paid employees living in deprived areas. Workers with low salaries, unemployed and people on minimum integration income or who no longer receive the unemployment allowance, had a higher probability of COVID-19 infection than workers with salaries ≥ €18,000 per year. Inequalities were greater in women and in the second wave. The deprivation level of areas of residence influenced the risk of COVID-19 infection, especially in the second wave. It is necessary to develop individual and area coordinated measures by areas in the control, diagnosis and treatment of the epidemic, in order to avoid an increase in the already existing inequalities.

scholarly journals 0013 Mobile Device Use in Bed and Relationships to Work Productivity: Impact of Anxiety

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A5-A5
Author(s):  
A Gozar ◽  
A Seixas ◽  
L Hale ◽  
C Branas ◽  
M Barrett ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Mobile Device ◽  
Productivity Loss ◽  
Work Productivity ◽  
Well Being ◽  
Mobile Phone Use ◽  
Mediating Role ◽  
Mobile Phone Usage ◽  
Device Use ◽  
Healthy Activity

Abstract Introduction Mobile phone use at night is associated with worse sleep quality. It may also be associated with daytime productivity, possibly via anxiety. Methods Data were obtained from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study, including N=1007 adults age 22–60. Mobile device use in bed was assessed as the frequency that participants reported: a device in the bedroom, use of the device in bed, texting, emails, internet browsing, calls, and/or social networking in bed, being woken up by the device in a planned (alarm) or unplanned (alert/call/message) way, and checking the phone at night. Each of these were coded as “never,” “rarely,” or “often.” Work productivity was assessed with the Well-Being Assessment of Productivity (WBA-P; scores 0–22 measure productivity loss). Regressions with WBA-P score as outcome and mobile phone variables as predictors were adjusted for age, sex, race/ethnicity, education, and income level. Post-hoc analyses included GAD7 score to examine the mediating role of anxiety. Results The presence of a device was not associated with productivity loss, but frequent use (“often”) was (B=1.26,p=0.01). Increased productivity loss was also seen in those who frequently (“often”) sent texts (B=1.20,p=0.008), browsed internet (B=1.14,p=0.01), emailed (B=2.09,p<0.0005), called (B=1.42,p=0.004), and used social media (B=1.26,p=0.004). Productivity loss was associated with being woken by a call/alert “rarely” (B=1.20,p=0.001) or “often” (B=1.72,p=0.005), but not by alarm. Checking the phone at night “rarely” (B=0.89,p=0.01) and “often” (B=1.73,p<0.0005) were also associated with productivity loss. When anxiety was entered into the model, all relationships except those with frequent emails and calls in bed became nonsignificant. Conclusion Anxiety may be the underlying cause for both increased mobile phone usage and reduced productivity. Reducing anxiety levels may indirectly aid in decreasing nighttime mobile phone use and increasing daytime productivity. Support The SHADES study was funded by R21ES022931 Dr. Grandner is supported by R01MD011600

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