scholarly journals Face mask mandates and risk compensation: an analysis of mobility data during the COVID-19 pandemic in Bangladesh

2022 ◽  
Vol 7 (1) ◽  
pp. e006803
Author(s):  
Zia Wadud ◽  
Sheikh Mokhlesur Rahman ◽  
Annesha Enam

IntroductionConcerns have been raised about the potential for risk compensation in the context of mask mandates for mitigating the spread of COVID-19. However, the debate about the presence or absence of risk compensation for universal mandatory mask-wearing rules—especially in the context of COVID-19—is not settled yet.MethodsMobility is used as a proxy for risky behaviour before and after the mask mandates. Two sets of regressions are estimated to decipher (any) risk-compensating effect of mask mandate in Bangladesh. These include: (1) intervention regression analysis of daily activities at six types of locations, using pre-mask-mandate and post-mandate data; and (2) multiple regression analysis of daily new COVID-19 cases on daily mobility (lagged) to establish mobility as a valid proxy.Results(1) Statistically, mobility increased at all five non-residential locations, while home stays decreased after the mask mandate was issued; (2) daily mobility had a statistically significant association on daily new cases (with around 10 days of lag). Both significances were calculated at 95% confidence level.ConclusionCommunity mobility had increased (and stay at home decreased) after the mandatory mask-wearing rule, and given mobility is associated with increases in new COVID-19 cases, there is evidence of risk compensation effect of the mask mandate—at least partially—in Bangladesh.

2021 ◽  
Vol 192 ◽  
pp. 765-781
Author(s):  
Gyula Seres ◽  
Anna Balleyer ◽  
Nicola Cerutti ◽  
Jana Friedrichsen ◽  
Müge Süer

2021 ◽  
Author(s):  
Lekhansh Shukla

Introduction: Traumatic Brain Injury (TBI) is the most important cause of neurological disability worldwide. This study aims to find a change in TBI pattern during the coronavirus disease (COVID 19) pandemic.Methods: We have collected the number of TBI cases seen every day between 01/12/19 and 03/01/21 (400 days) in the emergency department of a tertiary neuropsychiatric centre in Bangalore and estimated a changepoint. Two predictors of this change — community mobility data from Google mobility reports (pre-processed with principal component analysis) and alcohol sales data from the wholesaler are examined. A time-series model using generalised linear regression for scale and shape is fit, and bootstrap confidence intervals are used for inference. We have compared the clinical details — mode and severity of the injury, compliance with safety regulations, age, residence and gender of patients seen before and after the changepoint.Results: An optimal changepoint is detected on 20/03/20 following which the mean number of TBI cases seen every day has decreased and variance has increased (Mean 1 = 29.4, Variance 1 = 50.1; Mean 2 = 19.5, Variance 2 = 59.7, Loglikelihood Ratio Test: χ2 = 130, df = 1, p < 0.001). Two principal components of community mobility, alcohol sales and weekday, explain the change in the number of TBI cases (Pseudo R-square = 58.1). A significant decrease in traffic accidents, falls, mild/moderate injuries, but an increase in assault and severe injuries is seen during the pandemic period.Conclusions: Decongestion of roads and regulation of alcohol sales can decrease TBI occurrence substantially. An increase in violent trauma during lockdown needs further research in the light of domestic violence. Acute care facilities for TBI should be maintained even during a strict lockdown as the proportion of severe TBI requiring admission increases.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Youpei Yan ◽  
Jude Bayham ◽  
Aaron Richter ◽  
Eli P. Fenichel

AbstractFace masks are an important component in controlling COVID-19, and policy orders to wear masks are common. However, behavioral responses are seldom additive, and exchanging one protective behavior for another could undermine the COVID-19 policy response. We use SafeGraph smart device location data and variation in the date that US states and counties issued face mask mandates as a set of natural experiments to investigate risk compensation behavior. We compare time at home and the number of visits to public locations before and after face mask orders conditional on multiple statistical controls. We find that face mask orders lead to risk compensation behavior. Americans subject to the mask orders spend 11–24 fewer minutes at home on average and increase visits to some commercial locations—most notably restaurants, which are a high-risk location. It is unclear if this would lead to a net increase or decrease in transmission. However, it is clear that mask orders would be an important part of an economic recovery if people otherwise overestimate the risk of visiting public places.


2020 ◽  
Author(s):  
Roxanne Kovacs ◽  
Maurice Dunaiski ◽  
Tukiainen Janne

There is currently a heated debate about whether to introduce policies requiring the general public to wear protective face masks to contain COVID-19. A key concern is that compulsory face mask policies will make the public feel safer (due to risk compensation), and may consequently undermine the most important public-health advice to contain COVID-19 – which is to reduce mobility and maintain social distancing. This study provides first evidence on the impact of compulsory face mask policies on community mobility. We use a difference-in-differences design, which exploits the staggered implementation of compulsory face mask policies by German states. We use anonymised GPS data from Google's Location History feature to measure daily mobility in public spaces (groceries and pharmacies, transport hubs and workplaces). We find no evidence that compulsory face mask policies affect community mobility in public spaces in Germany. The evidence provided in this paper makes a crucial contribution to ongoing debates about how to best manage the COVID-19 pandemic.


2021 ◽  
Author(s):  
Gyula Seres ◽  
Anna Helen Balleyer ◽  
Nicola Cerutti ◽  
Jana Friedrichsen ◽  
Müge Süer

2017 ◽  
Vol 1 (21) ◽  
pp. 49-63
Author(s):  
Zdzisław Kaliniewicz ◽  
Piotr Markowski ◽  
Andrzej Anders ◽  
Paweł Tylek ◽  
Zbigniew Krzysiak ◽  
...  

The basic dimensions and the mass of common beech nuts and seeds from five nut batches, harvested from tree stands in northern Poland, were determined. Environmental conditions had a greater influence on seed plumpness than the age of tree stands. The results of measurements were analyzed statistically by analysis of variance, correlation analysis and linear regression analysis. Despite differences in their plumpness, nuts were characterized by nearly identical cross-sections which resembled an equilateral triangle. The thickness of nuts and seeds was highly correlated with their mass, and this information can facilitate seed husking and separation into mass categories. Before and after husking, seeds should be separated with the use of a mesh screen with longitudinal openings. Medium-sized (most numerous) seeds were separated into the following plumpness categories using a screen separator with ≠6 mm and ≠7 mm openings: 84% of moderately plump seeds, 3% of seeds with reduced plumpness, and 13% of plump seeds.


Author(s):  
Mark David Walker ◽  
Mihály Sulyok

Abstract Background Restrictions on social interaction and movement were implemented by the German government in March 2020 to reduce the transmission of coronavirus disease 2019 (COVID-19). Apple's “Mobility Trends” (AMT) data details levels of community mobility; it is a novel resource of potential use to epidemiologists. Objective The aim of the study is to use AMT data to examine the relationship between mobility and COVID-19 case occurrence for Germany. Is a change in mobility apparent following COVID-19 and the implementation of social restrictions? Is there a relationship between mobility and COVID-19 occurrence in Germany? Methods AMT data illustrates mobility levels throughout the epidemic, allowing the relationship between mobility and disease to be examined. Generalized additive models (GAMs) were established for Germany, with mobility categories, and date, as explanatory variables, and case numbers as response. Results Clear reductions in mobility occurred following the implementation of movement restrictions. There was a negative correlation between mobility and confirmed case numbers. GAM using all three categories of mobility data accounted for case occurrence as well and was favorable (AIC or Akaike Information Criterion: 2504) to models using categories separately (AIC with “driving,” 2511. “transit,” 2513. “walking,” 2508). Conclusion These results suggest an association between mobility and case occurrence. Further examination of the relationship between movement restrictions and COVID-19 transmission may be pertinent. The study shows how new sources of online data can be used to investigate problems in epidemiology.


Author(s):  
Nobutoshi Nawa ◽  
Yui Yamaoka ◽  
Yuna Koyama ◽  
Hisaaki Nishimura ◽  
Shiro Sonoda ◽  
...  

Face mask use is a critical behavior to prevent the spread of SARS-CoV-2. We aimed to evaluate the association between social integration and face mask use during the COVID-19 pandemic in a random sample of households in Utsunomiya City, Greater Tokyo, Japan. Data included 645 adults in the Utsunomiya COVID-19 seROprevalence Neighborhood Association (U-CORONA) study, which was conducted after the first wave of the pandemic, between 14 June 2020 and 5 July 2020, in Utsunomiya City. Social integration before the pandemic was assessed by counting the number of social roles, based on the Cohen’s social network index. Face mask use before and during the pandemic was assessed by questionnaire, and participants were categorized into consistent mask users, new users, and current non-users. Multinomial logistic regression analysis was used to examine the association between lower social integration score and face mask use. To account for possible differential non-response bias, non-response weights were used. Of the 645 participants, 172 (26.7%) were consistent mask users and 460 (71.3%) were new users, while 13 (2.0%) were current non-users. Lower social integration level was positively associated with non-users (RRR: 1.76, 95% CI: 1.10, 2.82). Social integration may be important to promote face mask use.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Pierre Nouvellet ◽  
Sangeeta Bhatia ◽  
Anne Cori ◽  
Kylie E. C. Ainslie ◽  
Marc Baguelin ◽  
...  

AbstractIn response to the COVID-19 pandemic, countries have sought to control SARS-CoV-2 transmission by restricting population movement through social distancing interventions, thus reducing the number of contacts. Mobility data represent an important proxy measure of social distancing, and here, we characterise the relationship between transmission and mobility for 52 countries around the world. Transmission significantly decreased with the initial reduction in mobility in 73% of the countries analysed, but we found evidence of decoupling of transmission and mobility following the relaxation of strict control measures for 80% of countries. For the majority of countries, mobility explained a substantial proportion of the variation in transmissibility (median adjusted R-squared: 48%, interquartile range - IQR - across countries [27–77%]). Where a change in the relationship occurred, predictive ability decreased after the relaxation; from a median adjusted R-squared of 74% (IQR across countries [49–91%]) pre-relaxation, to a median adjusted R-squared of 30% (IQR across countries [12–48%]) post-relaxation. In countries with a clear relationship between mobility and transmission both before and after strict control measures were relaxed, mobility was associated with lower transmission rates after control measures were relaxed indicating that the beneficial effects of ongoing social distancing behaviours were substantial.


2017 ◽  
Vol 3 (1) ◽  
pp. 87-100
Author(s):  
Karsono , ◽  
Denok Kurniasih ◽  
Dyah Retna Puspita

Abstract: Employee performance is very important for an organization to achieve its goals. This study aims to analyze the influence of work culture, on employee performance, leadership on employee performance, work discipline on employee performance, compensation on employee performance and work culture, leadership, work discipline, compensation on employee performance at PT. KAI Daop 5 Purwokerto. The study population is all employees of PT. KAI Daop 5 Purwokerto as many as 623 employees. Determination of sample size with Slovin formula obtained by 86 respondents. The data used is the primary data obtained from the questionnaires distributed to respondents.Tehnik data analysis used is a quantitative approach. The data of the research were analyzed using multiple regression analysis. The results showed that: Work culture affect the performance of employees means that if the work culture increases then the performance of employees will increase. Leadership affects the performance of employees means that if the existing leadership is conducive to work then the performance of employees will increase, work discipline does not affect the performance of employees means employees who discipline work high and employees who work discipline less have the same performance height, Compensation effect on the performance of meaning if the compensation increases then employee performance will increase, work culture, leadership, work discipline and compensation together affect the employee's performance, meaning that if work culture, leadership, work discipline and compensation together increase the employee performance will increase. Keywords: Working Culture, Leadership, Work Discipline, Compensation, Employee Performance. Abstrak: Kinerja pegawai merupakan hal yang sangat penting bagi organisasi untuk mencapai tujuannya. Penelitian ini bertujuan untuk menganalisis pengaruh budaya kerja, terhadap kinerja pegawai, kepemimpinan terhadap kinerja pegawai, disiplin kerja terhadap kinerja pegawai, kompensasi terhadap kinerja pegawai dan budaya kerja, kepemimpinan, disiplin kerja, kompensasi terhadap kinerja pegawai di PT. KAI Daop 5 Purwokerto. Populasi penelitian adalah semua karyawan PT. KAI Daop 5 Purwokerto sebanyak 623 orang karyawan. Penentuan ukuran sampel dengan rumus Slovin diperoleh sampel sebanyak 86 responden. Data yang digunakan adalah data primer yang diperoleh dari kuisioner yang dibagikan kepada responden.Tehnik analisis data yang digunakan adalah pendekatan kuantitatif. Data hasil penelitian dianalisis menggunakan analisis regresi berganda. Hasil penelitian menunjukkan bahwa: Budaya kerja berpengaruh terhadap kinerja pegawai artinya apabila budaya kerja meningkat maka kinerja karyawan akan meningkat. Kepemimpinan berpengaruh terhadap kinerja pegawai artinya apabila kepemimpinan yang ada sangat kondusif untuk bekerja maka kinerja karyawan akan meningkat, Disiplin kerja tidak berpengaruh terhadap kinerja pegawai artinya pegawai yang disiplin kerjanya tinggi dan pegawai yang disiplin kerjanya kurang memiliki kinerja yang sama tingginya, Kompensasi berpengaruh terhadap kinerja artinya apabila kompensasi meningkat maka kinerja karyawan akan meningkat, Budaya kerja, kepemimpinan, disiplin kerja dan kompensasi secara bersama-sama berpengaruh terhadap kinerja pegawai, artinya apabila budaya kerja, kepemimpinan, disiplin kerja dan kompensasi  secara bersama-sama mengalami peningkatan maka kinerja karyawan akan meningkat. Kata Kunci:  Budaya Kerja, Kepemimpinan, Disiplin Kerja, Kompensasi, Kinerja   Pegawai.


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