Screening Hesitancy of a Universal Voluntary-based Rapid Antigen Test for coronavirus disease 2019 (COVID-19) During Omicron Wave in Hong Kong.

BACKGROUND: The Hong Kong government distributed rapid antigen test (RAT) kits to households across the city and called for a universal voluntary testing exercise for three consecutive days during the Omicron wave to identify infected persons early for quarantine and disrupt transmission chains in the community. We conducted a survey to evaluate the participation rates and explore the determinants of voluntary RAT adoption and hesitancy. METHODS: This cross-sectional survey was conducted through computer-assisted telephone interviews from 19 May to 16 June 2022 using an overlapping dual-frame telephone number sampling design. Information on willingness to adopt voluntary RAT, four themes of personal qualities, attitudes toward the government's health policies, incentives to motivate RAT adoption, and personal sociodemographic factors were collected. Logistic regression analysis was used to examine the factors associated with RAT adoption. RESULTS: Of the 1010 participants, 490 successfully responded to the fixed-line and 520 to the mobile phone survey, with response rates of 1.42% and 1.63% and screen hesitancy rates of 36.1% and 39.3%, respectively. Participants of adoption RAT were those aged 30-49 years, with high perceived COVID-19 infection severity, ≥ 3 doses of COVID-19 vaccination, and more agreement with the health policies on material resources and quarantine orders. Individuals who were less risk seeking and more altruistic reported a higher adoption of voluntary RAT. CONCLUSIONS: Understanding the willingness to participate in a voluntary universal testing programme might shed light on effective ways to minimise screening hesitancy in future public health strategies and campaigns.

Estimation of mobility and population in Spain during different phases of the COVID-19 pandemic from mobile phone data.

This work aims to find out the effectiveness of sources based on Big Data like mobile phone records to analyze mobility flows and changes in the population of Spain in different scenarios during the period of the pandemic caused by the COVID-19 virus. To this end, we have used mobile phone data provided by the National Institute of Statistics from four days corresponding to different phases of the pandemic. Origin-Destination matrices and population estimation calculations at the spatial level of population cells have been elaborated. The results show different patterns that correspond to the phenomena that have occurred, as the decrease of the population during the periods associated with the confinement measures. The consistency of findings with the reality and the generally good correlation with the population census data indicate that mobile phone records are a useful source of data for the elaboration of demographic and mobility studies during pandemics.

Use of interviewer-administered telephone surveys during infectious disease outbreaks, epidemics and pandemics: a scoping review.

INTRODUCTION: During the COVID-19 crisis, researchers had to collect data remotely. Telephone surveys and interviews can quickly gather data from a distance without heavy expense. Although interviewer-administered telephone surveys (IATS) can accommodate the needs of international public health research, the literature on their use during infectious disease outbreaks is scarce. This scoping review aimed to map the characteristics of IATS during infectious disease outbreaks. METHODS: IATS conducted principally during infectious disease outbreaks and answered by informants at least 18 years old were searched from PubMed and EBSCO. There was a manual addition of relevant documents identified during an initial search. Overall trends were reported using different groupings, including WHO regions, and study details were compared before and during the COVID-19 pandemic. RESULTS: 70 IATS published between 2003 and 2022 were identified. 57.1% were conducted during the COVID-19 pandemic. Among 30 IATS conducted before the COVID-19 pandemic in the world, only 3.3% were carried out in low-income and middle-income countries (LMICs). This percentage of studies in LMICs out of all the IATS rose to 32.5% during the pandemic. The share of qualitative studies grew from 6.7% before the COVID-19 outbreak to 32.5% during the outbreak. IATS performed during the COVID-19 pandemic focused on more diverse, specific population groups, such as patients and healthcare professionals. Mobile phones are increasingly used for IATS over time. CONCLUSION: IATS are used globally with high frequency in the Western Pacific Region and high-income countries. Technical and financial challenges continue to exist, and assessments of inclusiveness and representativeness should be carefully conducted. A lack of details related to methods was observed, and this scoping review urges researchers using this data collection method in the future to specify how they executed IATS for better use and more efficient deployment.

Mobile Phone Data: A Survey of Techniques, Features, and Applications.

Due to the rapid growth in the use of smartphones, the digital traces (e.g., mobile phone data, call detail records) left by the use of these devices have been widely employed to assess and predict human communication behaviors and mobility patterns in various disciplines and domains, such as urban sensing, epidemiology, public transportation, data protection, and criminology. These digital traces provide significant spatiotemporal (geospatial and time-related) data, revealing people's mobility patterns as well as communication (incoming and outgoing calls) data, revealing people's social networks and interactions. Thus, service providers collect smartphone data by recording the details of every user activity or interaction (e.g., making a phone call, sending a text message, or accessing the internet) done using a smartphone and storing these details on their databases. This paper surveys different methods and approaches for assessing and predicting human communication behaviors and mobility patterns from mobile phone data and differentiates them in terms of their strengths and weaknesses. It also gives information about spatial, temporal, and call characteristics that have been extracted from mobile phone data and used to model how people communicate and move. We survey mobile phone data research published between 2013 and 2021 from eight main databases, namely, the ACM Digital Library, IEEE Xplore, MDPI, SAGE, Science Direct, Scopus, SpringerLink, and Web of Science. Based on our inclusion and exclusion criteria, 148 studies were selected.

Effective prevention and management of COVID-19 in outpatient hemodialysis patients.

The authors introduce a mobile phone app that may effectively prevent and manage coronavirus disease 2019 (COVID-19) in outpatient hemodialysis patients in Sichuan Province, China.

Addressing Preconception Behavior Change Through Mobile Phone Apps: Systematic Review and Meta-analysis.

BACKGROUND: Positive health behavior changes before pregnancy can optimize perinatal outcomes for mothers, babies, and future generations. Women are often motivated to positively change their behavior in preparation for pregnancy to enhance their health and well-being. Mobile phone apps may provide an opportunity to deliver public health interventions during the preconception period. OBJECTIVE: This review aimed to synthesize the evidence of the effectiveness of mobile phone apps in promoting positive behavior changes in women of reproductive age before they are pregnant (preconception and interconception periods), which may improve future outcomes for mothers and babies. METHODS: Five databases were searched in February 2022 for studies exploring mobile phone apps as a prepregnancy intervention to promote positive behavior change. The identified studies were retrieved and exported to EndNote (Thomson Reuters). Using Covidence (Veritas Health Innovation), a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) study flow diagram was generated to map the number of records identified, included, and excluded. Three independent reviewers assessed the risk of bias and conducted data extraction using the Review Manager software (version 5.4, The Cochrane Collaboration), and the data were then pooled using a random-effects model. The Grades of Recommendation, Assessment, Development, and Evaluation system was used to assess the certainty of the evidence. RESULTS: Of the 2973 publications identified, 7 (0.24%) were included. The total number of participants across the 7 trials was 3161. Of the 7 studies, 4 (57%) included participants in the interconception period, and 3 (43%) included women in the preconception period. Of the 7 studies, 5 (71%) studies focused on weight reduction, assessing the outcomes of reductions in adiposity and weight. Of the 7 studies, nutrition and dietary outcomes were evaluated in 2 (29%) studies, blood pressure outcomes were compared in 4 (57%) studies, and biochemical and marker outcomes associated with managing disease symptoms were included in 4 (57%) studies. Analysis showed that there were no statistically significant differences in energy intake; weight loss; body fat; and biomarkers such as glycated hemoglobin, total cholesterol, fasting lipid profiles, or blood pressure when compared with standard care. CONCLUSIONS: Owing to the limited number of studies and low certainty of the evidence, no firm conclusions can be drawn on the effects of mobile phone app interventions on promoting positive behavior changes in women of reproductive age before they are pregnant (preconception and interconception periods). TRIAL REGISTRATION: PROSPERO CRD42017065903; https://tinyurl.com/2p9dwk4a. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13643-019-0996-6.

Children infected vs. uninfected with COVID-19: Differences in parent reports of the use of mobile phones to calm children, routines, parent-child relationship, and developmental outcomes.

Children were suggested to be at lower risk of developing the severe form of the COVID-19. However, children infected with COVID-19 may be more likely to experience biopsychosocial stressors associated with the pandemic and display poorer developmental outcomes. The current study is among the first to compare children infected and uninfected with COVID-19 on outcomes related to parents' use of mobile phones to calm children, routines, parent-child relationship, externalizing and internalizing problems, prosocial behavior, gratitude, and happiness. A total of 1,187 parents (88.6% mothers) of children aged 5 to 12 completed an online survey between April 2022 and May 2022 when schools were suspended during the 5th wave of resurgence in Hong Kong. Our findings showed no substantial differences in various psychological, social, emotional, and behavioral outcomes between infected and uninfected children. Our findings can be used to educate parents to reduce their fear and anxieties associated with their children's COVID-19 infection. Our findings also suggested that support during the pandemic should be provided to children and families regardless of whether children have been infected with COVID-19.

Behavioral changes during the COVID-19 pandemic decreased income diversity of urban encounters.

Diversity of physical encounters in urban environments is known to spur economic productivity while also fostering social capital. However, mobility restrictions during the pandemic have forced people to reduce urban encounters, raising questions about the social implications of behavioral changes. In this paper, we study how individual income diversity of urban encounters changed during the pandemic, using a large-scale, privacy-enhanced mobility dataset of more than one million anonymized mobile phone users in Boston, Dallas, Los Angeles, and Seattle, across three years spanning before and during the pandemic. We find that the diversity of urban encounters has substantially decreased (by 15% to 30%) during the pandemic and has persisted through late 2021, even though aggregated mobility metrics have recovered to pre-pandemic levels. Counterfactual analyses show that behavioral changes including lower willingness to explore new places further decreased the diversity of encounters in the long term. Our findings provide implications for managing the trade-off between the stringency of COVID-19 policies and the diversity of urban encounters as we move beyond the pandemic.

Screen time among school-aged children of aged 6-14: a systematic review.

BACKGROUND: Screen time refers to the time an individual spends using electronic or digital media devices such as televisions, smart phones, tablets or computers. The purpose of this study was to conduct systematic review to analyze the relevant studies on the length and use of screen time of school-aged children, in order to provide scientific basis for designing screen time interventions and perfecting the screen use guidelines for school-aged children. METHODS: Screen time related studies were searched on PubMed, EMBASE, Clinical Trials, Controlled Trials, The WHO International Clinical Trials Registry Platform, the Cochrane Central Register of Controlled Trials, CNKI, and Whipple Journal databases from January 1, 2016 to October 31, 2021. Two researchers independently screened the literature and extracted the data, and adopted a qualitative analysis method to evaluate the research status of the length and usage of screen time of school-aged students. RESULTS: Fifty-three articles were included. Sixteen articles studied screen time length in the form of continuous variables. Thirty-seven articles studied screen time in the form of grouped variables. The average screen time of schoolchildren aged 6 to 14 was 2.77 h per day, and 46.4% of them had an average screen time ≥ 2 h per day. A growth trend could be roughly seen by comparing studies in the same countries and regions before and after the COVID-19 outbreak. The average rates of school-aged children who had screen time within the range of ≥ 2 h per day, were 41.3% and 59.4% respectively before and after January 2020. The main types of screen time before January 2020 were watching TV (20 literatures), using computers (16 literature), using mobile phones/tablets (4 literatures). The mainly uses of screens before January 2020 were entertainment (15 literatures), learning (5 literatures) and socializing (3 literatures). The types and mainly uses of screen time after January 2020 remained the same as the results before January 2020. CONCLUSIONS: Excessive screen time has become a common behavior among children and adolescents around the world. Intervention measures to control children's screen use should be explored in combination with different uses to reduce the proportion of non-essential uses.

Adaptive modes of adult men during COVID-19: qualitative analysis under Roy's model.

OBJECTIVES: This study aims to understand how adult men adapt to the COVID-19 pandemic. METHODS: Qualitative study involving 45 adult men residing in Brazil in 2020. Data were obtained from a Web Survey and treated using Reflective Thematic Analysis and interpreted in the light of Callista Roy's Adaptation Model. RESULTS: The COVID-19 pandemic mobilized in men the ways of adaptation that are configured in: mobilization of the physiological-physical and regulatory dimension: adjustments in the sleep pattern, dietary pattern, and maintenance of physical activity; group self-concept identity: managing emotions; role function: self-knowledge and self-care; interdependence: adjustments in the marital relationship, family ties and paternity, investment in training and studies and control of excessive consumption of content on cell phones. CONCLUSIONS: The perception of the own vulnerability favored the entry of men into ways of adaptation in search of balance during the pandemic, motivating them to move through practices of taking care of themselves and taking care of others. Markers of psycho-emotional distress alert to adherence to new modes of care capable of promoting healthy transitions in the face of disruptions and uncertainties generated by the pandemic. This evidence can support the establishment of goals for nursing care aimed at men.

A Nationally Representative Survey of COVID-19 in Pakistan, 2021-2022.

We conducted 4,863 mobile phone and 1,715 face-to-face interviews of adults >18 years residing in Pakistan during June 2021-January 2022 that focused on opinions and practices related to COVID-19. Of those surveyed, 26.3% thought COVID-19 was inevitable, and 16.8% had tested for COVID-19. Survey participants who considered COVID-19 an inevitability shared such traits as urban residency, concerns about COVID-19, and belief that the virus is a serious medical threat. Survey respondents who had undergone COVID-19 testing shared similarities regarding employment status, education, mental health screening, and the consideration of COVID-19 as an inevitable disease. From this survey, we modeled suspected and confirmed COVID-19 cases and found nearly 3 times as many suspected and confirmed COVID-19 cases than had been reported. Our research also suggested undertesting for COVID-19 even in the presence of COVID-19 symptoms. Further research might help uncover the reasons behind undertesting and underreporting of COVID-19 in Pakistan.

Inexpensive High-Throughput Multiplexed Biomarker Detection Using Enzymatic Metallization with Cellphone-Based Computer Vision.

Multiplexed biomarker detection can play a critical role in reliable and comprehensive disease diagnosis and prediction of outcome. Enzyme-linked immunosorbent assay (ELISA) is the gold standard method for immunobinding-based biomarker detection. However, this is currently expensive, limited to centralized laboratories, and usually limited to the detection of a single biomarker at a time. We present a low-cost, smartphone-based portable biosensing platform for high-throughput, multiplexed, sensitive, and quantitative detection of biomarkers from single, low-volume drops (<1 µL) of clinical samples. Biomarker binding to spotted capture antigens is converted, via enzymatic metallization, to the localized surface deposition of amplified, dry-stable, silver metal spots whose darkness is proportional to biomarker concentration. A custom smartphone application is developed, which uses real-time computer vision to enable easy optical detection of the deposited metal spots and sensitive and reproducible quantification of the biomarkers. We demonstrate the use of this platform for high-throughput, multiplexed detection of multiple viral antigen-specific antibodies from convalescent COVID-19 patient serum as well as vaccine-elicited antibody responses from uninfected vaccine-recipient serum and show that distinct multiplexed antibody fingerprints are observed among them.

Addressing immediate public health needs as part of Afghan evacuees' resettlement to the United States during the COVID-19 pandemic.

OBJECTIVES: Since the removal of US troops from Afghanistan in 2021, the United States welcomed Afghan evacuees through Operation Allies Welcome. Using cell phone accessibility, the CDC Foundation worked with public-private partners to protect evacuees from the spread of COVID-19 and provide accessibility to resources. STUDY DESIGN: This was a mixed methods study. METHODS: The CDC Foundation activated its Emergency Response Fund to accelerate public health components of Operation Allies Welcome, including testing, vaccination, and COVID-19 mitigation and prevention. The CDC Foundation began the provision of cell phones to evacuees to ensure access to public health and resettlement resources. RESULTS: The provision of cell phones provided connections between individuals and access to public health resources. Cell phones provided means to supplement in-person health education sessions, capture and store medical records, maintain official resettlement documents, and assist in registration for state-administered benefits. CONCLUSIONS: Phones provided necessary connectivity to friends and family for displaced Afghan evacuees and higher accessibility to public health and resettlement resources. As many evacuees did not have access to US-based phone services upon entry, provision of cell phones and plans for a fixed amount of service time provided a helpful start in resettlement while also being a mechanism to easily share resources. Such connectivity solutions helped to minimize disparities among Afghan evacuees seeking asylum in the United States. Provision of cell phones by public health or governmental agencies can help to provide equitable resources to evacuees entering the United States for social connection, healthcare resources, and resources to assist in the process of resettlement. Further research is needed to understand the generalizability of these findings to other displaced populations.

Leveraging interactive voice response technology to mitigate COVID-19 risk in refugee settlements in Uganda: Lessons learned implementing "Dial-COVID" a toll-free mobile phone symptom surveillance and information dissemination tool.

BACKGROUND: Persons living in refugee settlements in sub-Saharan Africa may be at increased risk for COVID-19 and experience barriers to accessing COVID-19 information. We aimed to evaluate the implementation of "Dial-COVID" a multi-lingual, toll free, telephone platform that uses interactive voice response (IVR) to track COVID-19 symptoms/exposure and disseminate COVID-19 health information in refugee settlements in Uganda. We hypothesized that IVR could provide an alternative way to screen for COVID-19 and communicate public health information to humanitarian populations when physical access and testing capacity were limited. METHODS: The Dial-COVID IVR platform was created in ten languages and advertised by community health workers in refugee settlements for participants to call into toll free. In a recorded IVR symptom survey, participants were screened for COVID-19 symptoms/exposures and based on their responses, received tailored public health messages about COVID-19 risk mitigation in accordance with Uganda Ministry of Health guidelines. Here we report the challenges and lessons learned implementing this research during the pandemic. RESULTS: Between February 2021 and March 2022, 15,465 calls were received by the Dial-COVID platform from all 31 refugee settlements in Uganda through which 6,913 symptom surveys were completed and 10,411 public health messages were disseminated in all study languages. Uptake of Dial-COVID fluctuated with the national COVID-19 caseload and was impacted by phone ownership and connectivity in refugee settlements. Intensified advertising efforts promoted Dial-COVID uptake. Flexibility to adapt IVR messages was contingent on translation capacity. CONCLUSION: Refugees living in refugee settlements across Uganda accessed Dial-COVID to share and obtain COVID-19 information suggesting that IVR holds potential for rapid information dissemination and screening of humanitarian populations during future infectious disease outbreaks and may be a valuable tool for routine public health programs. IVR adaptation flexibility and reach are influenced by language constraints and by contextual factors related to platform access. REGISTRATION DETAILS: World Pandemic Research Network- 490652.

Adolescent resilience and mobile phone addiction in Henan Province of China: Impacts of chain mediating, coping style.

BACKGROUND: As mobile phone use grows, so it brings benefits and risks. As an important part of adolescents healthy growth, resilience plays an indispensable role. Thus, it is important to identify when mobile phone use of an adolescent becomes an addiction. This study proposed to explore the effects of adolescent resilience on mobile phone addiction, and tested the mediating role of coping style and depression, anxiety, and stress (DASS) on phone addiction among 2,268 adolescents in the Henan province, China. METHODS: The adolescents were surveyed via an online questionnaire, a mobile phone addiction index (MPAI), a depression, anxiety, and stress scale with 21 items (DASS-21), the Resilience Scale for Chinese Adolescents (RSCA), and the Simplified coping style questionnaire (SCSQ), and we used structural equation modeling to examine the correlations and moderation effects. All data analyses were performed using SPSS 26.0 and Amos 23.0. RESULTS: The results show that adolescences resilience were negatively related to negative coping, DASS, and mobile phone addiction; both coping style and DASS could mediate the relationship between adolescent resilience and mobile phone addiction among Chinese adolescents. The relationship between adolescent resilience and mobile phone addiction in Chinese adolescents was mediated by the chain of coping styles and DASS. CONCLUSIONS: There is a negative relationship which exists between resilience and mobile phone addiction in this population. In addition, stress, anxiety, depression, and coping style significantly influence the risk of adolescent mobile phone addiction and play an intermediary role in Chinese adolescent resilience and mobile phone addiction.

Psychological factors in adherence to COVID-19 public health restrictions in Italy: A path model testing depressed mood, anxiety, and co-rumination via cellphone.

During the COVID-19 pandemic, the success of major non-pharmaceutical interventions, such as quarantine orders, has depended upon robust rates of citizens' adherence to protocols. Thus, it is critical to public health for research to illuminate factors that affect compliance with contagion-mitigating practices. Previous research has examined sociodemographic factors and aspects of psychological distress as correlates of adherence to public health guidelines. The current study expanded this research to investigate the psychosocial process of co-rumination, which has been identified in previous research as a maladaptive type of social interaction that is associated with elevated levels of anxiety and depression. Data were collected from 932 Italian adults during the initial stages of the highly stressful COVID-19 pandemic and lockdown. A path model was tested to examine multivariate relationships among sociodemographic characteristics, symptoms of psychological distress (i.e., depression and anxiety), co-rumination via cellphone, and self-reported adherence to COVID-19-related public health restrictions. Results revealed that higher rates of co-rumination via cellphone were associated with lower levels of adherence to public health restrictions. Symptoms of depression and anxiety were differentially related to co-rumination processes and adherence to public health restrictions. Higher levels of depression symptoms were directly associated with poorer adherence to public health restrictions, and this path was mediated through higher levels of co-rumination via cellphone. On the contrary, higher levels of state anxiety were directly associated with greater adherence to public health guidelines. This path was also mediated through co-rumination via cellphone. Higher levels of anxiety were correlated with lower levels of co-rumination, which in turn were correlated with lower levels of adherence. These results suggest fruitful directions for future research examining co-rumination as a maladaptive coping behavior that may be addressed within public health interventions.

Factors influencing the elderly's adoption of mHealth: an empirical study using extended UTAUT2 model.

BACKGROUND: Despite the high usage of mobile phones in daily life in developing countries like Bangladesh, the adoption and usage of mHealth services have been significantly low among the elderly population. When searching previous studies, the researchers have found that no studies have empirically investigated whether the quality of life and service quality are significant for mHealth adoption by elderlies in Bangladesh. Hence, this study aimed to extend the Unified Theory of Acceptance and Use of Technology by adding service quality and the quality of life to empirically find the key factors that influence elderlies' intention to adopt and use mHealth services in Bangladesh. METHODS: A face-to-face structured questionnaire survey method was used to collect data from 493 elderlies (aged 60 years and above) in Bangladesh. The data were analyzed with the Structural Equations Modelling (SEM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA). RESULTS: SEM results suggested that Social Influence, Hedonic Motivation, Price Value, Habit, and Service Quality had significant impact (p < 0.05) on the elderlies' behavioral intention to adopt mHealth services. Service Quality, Quality of Life, and elderlies' Habit were found significant in explaining the Use Behavior of mHealth services. Quality of Life did not show significant (p > 0.05) effect on Behavioral Intention, which is inconsistent with existing literature. In addition, fsQCA findings suggest how the intensity of the influencers may contribute to high versus low m-health behavioral outcomes. CONCLUSIONS: The findings have significant implications for theory, practice and future research as explained in the paper. The originality of this study is the integration of quality of life and service quality into UTUAT2 to explain the users' behavioural intention and use behaviour. Overall, the findings may contribute to shaping appropriate policies for designing and implementing mHealth services effectively for elderlies in developing countries.

Exploring the Utility of Google Mobility Data During the COVID-19 Pandemic in India: Digital Epidemiological Analysis.

BACKGROUND: Association between human mobility and disease transmission has been established for COVID-19, but quantifying the levels of mobility over large geographical areas is difficult. Google has released Community Mobility Reports (CMRs) containing data about the movement of people, collated from mobile devices. OBJECTIVE: The aim of this study is to explore the use of CMRs to assess the role of mobility in spreading COVID-19 infection in India. METHODS: In this ecological study, we analyzed CMRs to determine human mobility between March and October 2020. The data were compared for the phases before the lockdown (between March 14 and 25, 2020), during lockdown (March 25-June 7, 2020), and after the lockdown (June 8-October 15, 2020) with the reference periods (ie, January 3-February 6, 2020). Another data set depicting the burden of COVID-19 as per various disease severity indicators was derived from a crowdsourced API. The relationship between the two data sets was investigated using the Kendall tau correlation to depict the correlation between mobility and disease severity. RESULTS: At the national level, mobility decreased from -38% to -77% for all areas but residential (which showed an increase of 24.6%) during the lockdown compared to the reference period. At the beginning of the unlock phase, the state of Sikkim (minimum cases: 7) with a -60% reduction in mobility depicted more mobility compared to -82% in Maharashtra (maximum cases: 1.59 million). Residential mobility was negatively correlated (-0.05 to -0.91) with all other measures of mobility. The magnitude of the correlations for intramobility indicators was comparatively low for the lockdown phase (correlation ≥0.5 for 12 indicators) compared to the other phases (correlation ≥0.5 for 45 and 18 indicators in the prelockdown and unlock phases, respectively). A high correlation coefficient between epidemiological and mobility indicators was observed for the lockdown and unlock phases compared to the prelockdown phase. CONCLUSIONS: Mobile-based open-source mobility data can be used to assess the effectiveness of social distancing in mitigating disease spread. CMR data depicted an association between mobility and disease severity, and we suggest using this technique to supplement future COVID-19 surveillance.