Phone-based data collection in a refugee community under COVID-19 lockdown.
Ontology highlight
ABSTRACT:
SUBMITTER: Chen A
PROVIDER: S-EPMC7194992 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
Publications
Phone-based data collection in a refugee community under COVID-19 lockdown.
Chen Alexandra A Tossyeh Fadila F Arnous Maguy M Saleh Ahmad A El Hassan Ahmed A Saade Joy J Miller Kenneth E KE
The lancet. Psychiatry 20200428 6
Similar Datasets
Project description:The COVID-19 pandemic triggered different governmental responses across borders, with cascading effects on people's movements and on biodiversity data collection. We quantified changes in the number of species occurrence records collected during the first global lockdown (March 15th to May 1st 2020) relative to pre-pandemic levels using data from the Global Biodiversity Information Facility (GBIF). We modelled how such changes relate to the stringency of governmental policy responses, changes in human mobility, and countries' population size and economic class across 129 countries. We further focused on data from the community science project eBird, which constitutes the largest dataset in GBIF, to investigate changes in participation and activity patterns of individual observers (eBirders) during the lockdown. We found that the decreases in GBIF records correlated with declines in numbers of visitors to parks and outdoor areas, and were significantly larger in developing countries compared to developed ones. While the activity ranges of eBirders shrunk across all countries analysed, the number of eBirders in developing and least developed countries declined more than in developed countries, as the lockdown disrupted the influx of international visitors. Our results suggest that community-based, local monitoring programmes are essential to reduce biases in global biodiversity monitoring.
| S-EPMC11906878 | biostudies-literature
Project description:BackgroundItaly's severe COVID-19 outbreak was addressed by a lockdown that gradually increased in space, time and intensity. The effectiveness of the lockdown has not been precisely assessed with respect to the intensity of mobility restriction and the time until the outbreak receded.MethodsWe used processed mobile phone tracking data to measure mobility restriction, and related those data to the number of new SARS-CoV-2 positive cases detected on a daily base in the three most affected Italian regions, Lombardy, Veneto and Emilia-Romagna, from February 1 through April 6, 2020, when two subsequent lockdowns with increasing intensity were implemented by the Italian government.FindingsDuring the study period, mobility restriction was inversely related to the daily number of newly diagnosed SARS-CoV-2 positive cases only after the second, more effective lockdown, with a peak in the curve of diagnosed cases of infection occurring 14 to 18 days from lockdown in the three regions and 9 to 25 days in the included provinces. An effective reduction in transmission must have occurred nearly immediately after the tighter lockdown, given the lag time of around 10 days from asymptomatic infection to diagnosis. The period from lockdown to peak was shorter in the areas with the highest prevalence of the infection. This effect was seen within slightly more than one week in the most severely affected areas.InterpretationIt appears that the less rigid lockdown led to an insufficient decrease in mobility to reverse an outbreak such as COVID-19. With a tighter lockdown, mobility decreased enough to bring down transmission promptly below the level needed to sustain the epidemic.FundingNo funding sources have been used for this work.
| S-EPMC7355328 | biostudies-literature
Project description:The relationship between pandemic, or chronic infectious diseases, and the carceral, meaning set-apart spaces of enforced confinement for "wrong-doers," has a long, tangled history. It features in Foucault's inquiries into disciplinary power and its associated spatial formations, not least in the shape of the modern prison. Drawing lightly from Foucault's claims about disciplinary and biopolitical power, as well as on his anti-prison activism, this paper explores three possibilities for penal transformation arising during the early months of COVID-19 in UK prisons (circa March to August 2020). Consulting primary source material, these possibilities are respectively identified as "retrenching," "reworking" or "reducing" the carceral. A chief finding is that under the press of pandemic "emergency," the tilt of emphasis has been towards a retrenched or reworked "carceral state," disappointing any promise of abolition, let alone more humble reduction in carceral conditions. The "biological sub-citizens" of prisons are hence being left especially vulnerable to the press of pandemic, in part precisely because of how carceral spatialities are being intensified.
| S-EPMC9347962 | biostudies-literature
Project description:This article describes how one trial site of the Refugee Emergency: Defining and Implementing Novel Evidence-based psychosocial interventions (RE-DEFINE) study, designed to evaluate a Self Help+ intervention with Arabic-speaking refugees and asylum seekers currently living in the UK and experiencing stress, was adapted to accommodate social distancing rules and working from home during the COVID-19 restrictions. Digital divide, risk and safety management, acceptability of remote data collection and practical considerations are described. The adaptions to methods have practical implications for researchers looking for more flexible approaches in response to continuing restrictions resulting from COVID-19, and the authors believe that others could adopt such an approach. The need for a further acceptability study focusing on human and economic costs and benefits of telephone and video as an alternative to face-to-face data collection is indicated. TRIALS REGISTRATION: Refugee Emergency - Defining and Implementing Novel Evidence-based psychosocial interventions RE-DEFINE. (Trials registration numbers NCT03571347 , NCT03587896 ) https://doi.org/10.1136/bmjopen-2019-030259 (2019).
| S-EPMC7863031 | biostudies-literature
Project description: Not available
| S-EPMC7492011 | biostudies-literature
Project description:BackgroundHuman migration is one of the driving forces for amplifying localized infectious disease outbreaks into widespread epidemics. During the outbreak of COVID-19 in China, the travels of the population from Wuhan have furthered the spread of the virus as the period coincided with the world's largest population movement to celebrate the Chinese New Year.MethodsWe have collected and made public an anonymous and aggregated mobility dataset extracted from mobile phones at the national level, describing the outflows of population travel from Wuhan. We evaluated the correlation between population movements and the virus spread by the dates when the number of diagnosed cases was documented.ResultsFrom Jan 1 to Jan 22 of 2020, a total of 20.2 million movements of at-risk population occurred from Wuhan to other regions in China. A large proportion of these movements occurred within Hubei province (84.5%), and a substantial increase of travels was observed even before the beginning of the official Chinese Spring Festival Travel. The outbound flows from Wuhan before the lockdown were found strongly correlated with the number of diagnosed cases in the destination cities (log-transformed).ConclusionsThe regions with the highest volume of receiving at-risk populations were identified. The movements of the at-risk population were strongly associated with the virus spread. These results together with province-by-province reports have been provided to governmental authorities to aid policy decisions at both the state and provincial levels. We believe that the effort in making this data available is extremely important for COVID-19 modelling and prediction.
| S-EPMC9629681 | biostudies-literature
Project description:Motivated by COVID-19, we develop and analyze a simple stochastic model for the spread of disease in human population. We track how the number of infected and critically ill people develops over time in order to estimate the demand that is imposed on the hospital system. To keep this demand under control, we consider a class of simple policies for slowing down and reopening society and we compare their efficiency in mitigating the spread of the virus from several different points of view. We find that in order to avoid overwhelming of the hospital system, a policy must impose a harsh lockdown or it must react swiftly (or both). While reacting swiftly is universally beneficial, being harsh pays off only when the country is patient about reopening and when the neighboring countries coordinate their mitigation efforts. Our work highlights the importance of acting decisively when closing down and the importance of patience and coordination between neighboring countries when reopening.
| S-EPMC8795434 | biostudies-literature
Project description:Due to the rapid expansion of the COVID-19 pandemic, many countries ordained lockdowns, establishing different restrictions on people's mobility. Exploring to what extent these measures have been effective is critical in order to better respond to similar future scenarios. This article uses anonymous mobile phone data to study the impact of the Spanish lockdown on the daily dynamics of the Madrid metropolitan area (Spain). The analysis has been carried out for a reference week prior to the lockdown and during several weeks of the lockdown in which different restrictions were in place. During these weeks, population distribution is compared during the day and at night and presence profiles are obtained throughout the day for each type of land use. In addition, a spatial multiple regression analysis is carried out to determine the impact of the different land uses on the local population. The results in the reference week, pre-COVID-19, show how the population in activity areas increases in each time slot on a specific day and how in residential areas it decreases. However, during the lockdown, activity areas cease to attract population during the day and the residential areas therefore no longer show a decrease. Only basic essential commercial activities, or others that require the presence of workers (industrial or logistics) maintain some activity during lockdown.
| S-EPMC9753119 | biostudies-literature
Project description:Many countries have adopted various measures to curb the spread of the COVID-19 pandemic. The regulation measures of lockdown have triggered changes in public political trust in the government (including in its competence, benevolence and integrity). Information shapes the attitudes and values of residents; this paper aims to study the effect of a lockdown on political trust and the moderating effect from quality of government shared information. From 12 March to 31 May 2022, Shanghai implemented strict lockdown measures. In this study, we randomly sampled the participation information of 1063 participants. Data-based regression analysis shows that lockdown has had a negative impact on all subcategories of political trust. However, timely and accuracy information weakens its negative effect. The accuracy of information moderates the relationship between lockdown and political trust in competence and integrity, while a sufficient supply of information moderates the relationship between lockdown and political trust in benevolence. Points for practitioners This study explores how different dimensions of information quality affect each component public’s political trust, and thereby inspires practitioners to strategically improve information communication in crisis.
| S-EPMC10071188 | biostudies-literature
Project description:ObjectiveThe global health crisis in the form of COVID-19 has forced people to shift their routine activities into a remote environment with the help of technology. The outbreak of the COVID-19 has caused several organizations to be shut down and forced them to initiate work from home employing technology. Now more than ever, it's important for people and institutions to understand the impact of excessive use of mobile phone technology and electronic gadgets on human health, cognition, and behavior. It is important to understand their perspective and how individuals are coping with this challenge in the wake of the COVID-19 pandemic. The investigation is an effort to answer the research question: whether dependency on technology during lockdown has more effects on human health in comparison to normal times.MethodsThe study included participants from India (n = 122). A questionnaire was framed and the mode of conducting the survey chosen was online to maintain social distancing during the time of the Pandemic. The gathered data was statistically analysed employing RStudio and multiple regression techniques.ResultsThe statistical analysis confirms that lockdown scenarios have led to an increase in the usage of mobile phone technology which has been confirmed by around 90% of participants. Moreover, 95% of the participants perceive an increased risk of developing certain health problems due to excessive usage of mobile phones and technology. It has been evaluated that participants under the age group 15-30 years are highly affected (45.9%) during lockdown due to excessive dependence on technology. And, amongst different professions, participants involved in online teaching-learning are the most affected (42.6%).ConclusionThe findings indicate that dependency on technology during lockdown has more health effects as compared to normal times. So, it is suggested that as more waves of pandemics are being predicted, strategies should be planned to decrease the psychological and physiological effects of the overuse of technology during lockdown due to pandemics. As the lockdown situation unfolds, people and organization functioning styles should be rolled back to the limited dependency on technology.
| S-EPMC8456111 | biostudies-literature