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Background: In March 2020, the world health organization declared COVID-19 a world wide pandemic. Countries introduced public health measures to contain and reduce its spread. The effect of mandated societal lockdown to reduce the transmission of corona virus disease 2019 (COVID-19) on road traffic accidents is not known. For this we performed an in-depth analysis singdata of emergency and trauma centre UPUMS, Saifai. As most of the manpower was involved in managing Covid patients directly or indirectly, it was a challenge to manage these mass casualty patients who require intensive care as well as Medicolegal documentation, record keeping, Consent for life saving procedures in absence of Relatives. Material(s) and Method(s): We reviewed data on total 2876 road traffic accident records in UPUMS, Saifai from January 1, 2020 through September 30, 2020. We treated March 20th as the first day of mandated societal lock down and 1st July as the first day of re-opening. Result(s): We have found that the reis increase in road traffic accidents resulting in serious or fatal injuries during lockdown and post-lockdown period. There was increased Medicolegal burden in spite of the decreased medical resources, manpower as most of manpower and resources were being utilized for covid patients. Conclusion(s): Road traffic accidents are a prominent contributor to hospitalization and may negatively impact the existing hospital resources directed towards COVID-19.Copyright © 2023, World Informations Syndicate. All rights reserved.
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SARS-CoV-2 is a pandemic that affects road traffic flaw and crashes globally. This study attempted to compare the situation of road traffic crashes in the city of Budapest before and after the SARS-CoV-2 pandemic to better understand its long-term percussive effects. The study considers 12208 road traffic crashes that registered between 20 May 2018 – 31 December 2021. The rate and severity of road traffic crashes during the SARS-CoV-2 pandemic examined by using a percentage frequency distribution and a severity index. This study depicted that most crashes reported during the normal daytime between15:01-18:00 (peak hour). The study indicated that during the SARS-CoV-2 pandemic the road traffic crashes were reduced by 20.15%. A rear-end collision was one of the most common type of catastrophes highly registered. Road users, particularly drivers, heavily endorsed crashes. Even though the proportion of road traffic crashes caused by alcohol consumption was modest (6%), the rate of alcohol consumption and its concentration increased slightly during the SARS-CoV-2 pandemic. At the same time the number of crashes caused by high-speed traffic maneuvers reduced. Improper interpretation of road traffic signs, road pavement condition and failure to respect proper sight distance were influential reasons of road traffic crashes among the top. Meanwhile, the distributional impact of careless driving in the aftermath of the SARS-CoV-2 pandemic causes a shift in rank. Therefore, this study proved that during SARS-CoV-2 pandemics road traffic crashes reduced, the rate and concentration of alcohol consumption increased, and careless driving was encouraged.
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The city of Christchurch, New Zealand, incurred significant damage due to a series of earthquakes in 2010 and 2011. The city had, by the late 2010s, regained economic and social normalcy after a sustained period of rebuilding and economic recovery. Through the concerted rebuilding effort, a modern central business district (CBD) with redesigned infrastructure and amenities was developed. The Christchurch rebuild was underpinned by a commitment of urban planners to an open and connected city, including the use of innovative technologies to gather, use and share data. As was the case elsewhere, the COVID-19 pandemic brought about significant disruptions to social and economic life in Christchurch. Border closures, lockdowns, trading limitations and other restrictions on movement led to changes in traditional consumer behaviors and affected the retail sector's resilience. In this study, we used CBD pedestrian traffic data gathered from various locations to predict changes in retail spending and identify recovery implications through the lens of retail resilience. We found that the COVID-19 pandemic and its related lockdowns have driven a substantive change in the behavioral patterns of city users. The implications for resilient retail, sustainable policy and further research are explored. © 2023 by the authors.
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Road traffic injuries continue to be a major public health concern and are a leading cause of death and injury across the world. Road transport remains the most favoured mode of transport for both freight and passenger movement in India. As per the World Health Organization, approximately 1.35 million people die annually on the world's roads, and another 20 to 50 million sustain nonfatal injuries as a result of road traffic crashes. These injuries and deaths have an immeasurable impact on the families affected, whose lives are often changed irrevocably by these tragedies, and on the communities in which these people lived and worked. India ranks 1 in the total number of traffic-related deaths across the 199 countries reported in the World Road Statistics, 2018, followed by China and the USA due to its large population (India, 21.7, and China, 18.6, fatalities per 100,000), although several Central American and African countries have higher fatality rates. During COVID-19 (coronavirus disease-19) pandemic, a national lockdown was implemented by Government of India from 24 March to 31 May 2020, in four phases to control the spread of SARS CoV-2 (severe acute respiratory syndrome coronavirus-2) infection. In our observational study, we compared the epidemiology of trauma patients of two periods from 1 April to 31 May 2019 and 24 March to 31 May 2020 and found out that unique concept of lockdown with stringent implementation of discipline, alcohol ban, behavioural change in visiting family and friends as minimum as possible, promoting work from home and digital classes for school and colleges lead to phenomenal decrease in traffic-related injuries and fatality. The lockdown has grossly decreased 'disability-adjusted life year'(DALY), an outcome indicator for cost-effective analysis, which is calculated as the value of future years of healthy life lost to morbidity/disability and future years of life lost to premature mortality.
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Background and Objectives: In every tertiary care hospital, casualty deals with the emergency cases of which the majority are Medico legal cases. The knowledge about the incidence of Medico legal cases is important to recognise the socioeconomic burden. The present study was conducted to scrutinize different Medicolegal cases at the emergency department of Mediciti Hospital, Medchal. The idea of the study was to find out frequency of several types of medico legal cases at casualty of Mediciti Hospital, Medchal. Material(s) and Method(s): It was a record based cross sectional study in which all the MLC cases registered in MLC record book from March 2020-March 2021 were analyzed. The data was collected on age, sex, type of Medico legal cases, road traffic accidents, mode of occurrence, month-wise distribution of medico legal cases and the time of occurrence. Results were expressed in numbers and percentages. Result(s): Out of all 355 registered medico legal cases, of which 258(73.2%) were males and 94(26.76%) were females. Maximum cases were from the age group of 20-29 years i.e., 127(43.09%). Majority of the MLC's registered we are due to road traffic accidents 144(39.7%) followed by Assault 49(13.8%), falls-43(12.7%), poisoning-43(12.1%), and injury at workplace-43(12.1%), accidental-14(3.9%), snake bite-8(2.2%) and others (7.4%). Conclusion(s): The present study shows RTAs account for a major part of MLCs. By proper education and training of safety measures among public decreases the cases. Enforcement of strict laws reduces the incidence of road traffic accidents. And also, strict laws should be amended to reduce the incidence of Assault.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.
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The covid 19 epidemic has been marking the pace of life around the world for the last two years, and it left clear marks on economic activity, our social life and even the pollution associated with human activity. One of the consequences is related to the decrease in car traffic, especially in the months of mandatory social confinement. This work analyzes the impact of the epidemic on traffic regarding access to the beaches of Barra and Costa Nova in the region of Aveiro, Portugal, through the infrastructure of the PASMO project. Therefore, the weekly and weekend traffic profiles evolution were analyzed over the various months of 2020. The work also compared the evolution of infections with the evolution of road traffic, as well as the impact of the various events related to the epidemic in road traffic.
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During the COVID-19 pandemic large numbers of single-use, surgical style face masks were lost or discarded in public spaces, primarily in on public streets and car parking settings. Many of these masks were blown onto the road surfaces where they were subjected to degradation through the tire impact of passing vehicle traffic. As series of field observations as well as experimental simulations show that the three-ply polypropylene mask fabric is subjected to shear forces when compressed between the tire and the road surface. The mechanical action breaks the bonds between the fibers (both spunbonded and meltblown) leading to a continual shedding of microfibers. Wind disperses these into the environment along road sides, while surface water action moves them into stormwater drains and from there into the waterways. As the decay is rapid, municipal agencies only have a short window of time to remove stray face masks from the urban environment if micro-fiber pollution is to be reduced.
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The Canadian Perspectives on Environmental Noise Survey was completed online by 6647 randomly selected Canadians 18 years of age and older between April 12 and May 25, 2021. The survey objective was to explore attitudes, perceptions, and expectations toward environmental noise in rural and non-rural Canada. The questionnaire assessed self-reported high sleep disturbance (HSD) in the previous year, at home. The prevalence of HSD was 7.8% overall. A list of potential sources of sleep disturbance was provided to the full sample, where 6.1%, 5.2%, and 3.0% reported HSD by noisy neighbors, road traffic noise and indoor noise, respectively. Stress/anxiety or worrying about something was selected most frequently at 12.9%. Finally, 7.6% and 5.5% reported pain/illness and partner's sleep disturbance, respectively, as sources of HSD. Reported HSD was significantly higher among respondents below 55 years of age, females, lower income groups, unemployed respondents, those on paid leave (sick, maternity, disability), and living in an urban area. Expectations of quiet, perceiving nighttime noise to have increased over time, high noise sensitivity, hearing and being highly annoyed by road traffic noise was also associated with an increased prevalence of reporting HSD. In contrast to hearing impairment and heart disease (including high blood pressure);rated physical health, mental health, anxiety/depression, and reporting a sleep disorder, were associated with increased HSD. The perceived affects of the COVID-19 pandemic on health and annoyance toward environmental and indoor noise also influenced HSD. In the fully adjusted multivariate logistic regression model, the effect of age, gender, changes in nighttime noise, road traffic noise annoyance, noise sensitivity and sleep disorder remained statistically significant. The univariate and multivariate models showed a similar prevalence of HSD between Indigenous Peoples and non-Indigenous Canadians. Results are discussed in relation to the provision of advice on sleep and health under Canada's Impact Assessment Act. © 2023
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We present a pilot study on the perception of noise and noise annoyance from various environmental sources after the COVID-19 lockdown in Serbia. We used an online platform to conduct an anonymous survey on about 190 respondents aged 15 to 75 years from all over the country. After the lockdown, there was a significant increase in the proportion of respondents who were highly annoyed by noise from the typical environmental sources, such as road traffic, air traffic, industrial facilities, and construction works on the streets, compared to the time during the lockdown. At the same time, the proportion of respondents who were highly annoyed by the sirens of ambulance vehicles decreased significantly. However, the most annoying environmental sound during and after the lockdown was that emitted by the ambulance vehicles, which respondents described as "unpleasant”, "horrifying” and "irritating”. The perception of the sounds of nature and church bells dropped significantly after the lockdown, whereas the perception of noise from the neighbors, household members, and indoor sources remained the same. In summary, after the lockdown, respondents perceive the new soundscape as louder, burdened with a cacophony of noises, and subsequently more annoying. © 2022 Internoise 2022 - 51st International Congress and Exposition on Noise Control Engineering. All rights reserved.
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In the latter half of the 1980s, PM2.5 pollution in Beijing became a serious problem, and there were concerns about health hazards. It was expected that China's emissions must be reduced from 2013 to 2016, and the lockdown effect of Covid-19 would bring about an end, but it is still reluctant to regulate CO2 emissions. Again, in Beijing in November 2021, a visibility of 500 m or less has been observed, then road traffic is dangerous in addition to health. After that, the center of pollution has moved from India to Mongolia, and now Nepal, Qatar and Saudi Arabia. The situation is still serious in developing countries. Image restoration to remove the effects of haze and fog has been a long-standing concern of NASA, and their original Visual Servo has been put into practical use. Though the mainstream moved to the technique based on atmospheric physics. He et al.'s Dark Channel Priority (DCP) logic has had a certain effect on heavily polluted PM 2.5 scenes, but there is a limit to the restoration of detailed visibility. The observed images are affected by two spatial inhomogeneities of 1) atmospheric layer and 2) illumination. As a countermeasure, we have improved DCP process with the help of Retinex and introduced the veil coefficient as reported in CIC24. Recently, a variety of improvements in single image Dehazing, using FFA-net, BPP-net, LCA-net, or Vision-based model are in progress. However, in each case, visibility of details is still a common problem. This paper proposes an improvement in detail visibility by (1) joint sharpness-contrast preprocess (2) adjustment in Dehaze effect with veil coefficient v Lastly, we challenge numerical evaluation of improvement in detail visibility by the two ways of attenuation of high-frequency Fourier spectrum and the expansion rate of the color gamut. © 2022 Society for Imaging Science and Technology.
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Background: In March 2020, the world health organization declared COVID-19 a worldwide pandemic. Countries introduced public health measures to contain and reduce its spread. The effect of mandated societal lockdown to reduce the transmission of corona virus disease 2019 (COVID-19) on road traffic accidents is not known. For this we performed an in-depth analysis using data of emergency and trauma centre UPUMS, Saifai Materials and Methods: We reviewed data on total 2876 road traffic accident records in UPUMS, Saifai from January 1, 2020 through September 30, 2020. We treated March 20th as the first day of mandated societal lockdown and 1st July as the first day of re-opening Results: We have found that there is increase in road traffic accidents resulting in serious or fatal injuries during lockdown and post-lockdown period. Conclusion: Road traffic accidents are a prominent contributor to hospitalization and may negatively impact the existing hospital resources directed towards COVID-19. © 2023 DMICS.
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The rapid development in traffic density and the economic transformation since 1989 has brought new problems concerning road traffic noise in Slovakia. The aim is to follow the time trends of noise annoyance in monitored localities in Bratislava at time intervals of 10, 20, and 30 years. We used the validated methodology for subjective assessment of noise annoyance in young and healthy individuals, as well as a method of objectification by direct measurement of sound levels. Respondents (n=3,675) were university students, living in the exposed and control dormitories representing a homogenous sample. The sharp increase in traffic noise burden in the exposed area was found at the first 10-year interval (1989-1999) (LAeq=67.5 dB). A slight decrease occurred in 2019 up to LAeq=63.9 dB and during lockdown due to COVID-19 pandemic it dropped to LAeq =62.5 dB. A sharp increase in road traffic noise annoyance was observed in the first 10-year interval (ORMH=2.56 (95 % CI=1.93-3.42) vs 6.01 (95% CI=4.97-7.95) with a slightly decreasing trend in 2020-2021. An increase in noise annoyance from entertainment facilities was observed as well. Despite a slightly declining trend, road traffic noise annoyance is still an important issue and there is a need for preventive measures to reduce such exposure in residential areas. © 2022 Internoise 2022 - 51st International Congress and Exposition on Noise Control Engineering. All rights reserved.
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A quantitative understanding of people's mobility patterns is crucial for many applications. However, it is difficult to accurately estimate mobility, in particular during disruption such as the onset of the COVID-19 pandemic. Here, we investigate the use of multiple sources of data from mobile phones, road traffic sensors, and companies such as Google and Facebook in modelling mobility patterns, with the aim of estimating mobility flows in Finland in early 2020, before and during the disruption induced by the pandemic. We find that the highest accuracy is provided by a model that combines a past baseline from mobile phone data with up-to-date road traffic data, followed by the radiation and gravity models similarly augmented with traffic data. Our results highlight the usefulness of publicly available road traffic data in mobility modelling and, in general, pave the way for a data fusion approach to estimating mobility flows. © 2022 The Author(s)
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An inversion system that uses a Bayesian approach to combine measurements and ADMS-Urban modelled data by adjusting individual source emissions, subject to estimated uncertainty in the measurements and emissions, has previously been applied to optimising road traffic emissions in Cambridge. In this study the system has been applied specifically to the impact of interventions, in particular the impact of COVID-19 lockdowns on NOX emissions from road traffic and other sources in London. The ADMS-Urban model was used to calculate a priori hourly NOX concentrations at 195 receptors in London representing 115 reference monitors and 80 Breathe London Network AQMesh sensors. Input data included hourly meteorological measurements from Heathrow Airport, hourly NOX concentrations from 4 rural background monitoring sites and buildings road centreline data from Ordnance Survey. A priori emissions were obtained from the London Atmospheric Emissions Inventory (LAEI) for 35 point sources, approximately 70,000 major road sources and 2,500 1km grid cells representing minor road, heating and other sources. The analysis period was 1 January 2020 to 30 April 2021. Estimated uncertainties of 4 and 12 µg/m3 were applied to reference and sensor measurements respectively, while emissions uncertainties of 100%, 50%, 20% were applied to road traffic, fuels and other emissions respectively. Road traffic emissions were assumed to have error covariance of 40% of their emissions uncertainty. Measured NOX concentrations in London reduced significantly during lockdown, with the greatest reduction (around 60%) at kerbside and roadside sites in Central London. However, poor dispersal conditions led to increased concentrations at times when restrictions were tightest. In contrast, inversion system results demonstrate that NOX emissions from road traffic dropped by around 60% in London compared with pre-lockdown levels and that this reduction occurred when the strictest lockdown measures were in force. The results also show that NOX road traffic emissions were still approximately 30% lower than pre-lockdown levels at the end of April 2021. This analysis demonstrates that lower cost sensors such as AQMesh can provide valuable insight into the effects of policy measures (in this case lockdown restrictions), if their increased uncertainty compared with reference monitors is accounted for. © British Crown Copyright (2022)
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Context: Effects of coronavirus disease 2019 (COVID-19) pandemic lockdown on road traffic accidents (RTAs) in Chhattisgarh, India. Background: Most neurosurgical emergencies are from brain and spine trauma. RTA is the leading cause of such injuries. While the nationwide lockdown was an extreme measure to control the COVID pandemic, it influenced the overall road traffic dynamics and neurotrauma. Objective: This study aims to assess the impact of the lockdown on neurotrauma. Methods and Materials: This retrospective study included all patients with brain and spine injuries who were admitted between January 17th and May 31st, 2020. The study population was divided into prelockdown (PL) and lockdown (L) groups. Results: Of the 668 patients, 436 were placed in the PL and 232 in the L group. The mean ages were 36.34 (SD = 17.96) and 35.98 (SD = 16.93), respectively. Male to female ratios were 82.3:17.7 in the PL group and 79.7:20.3 for the L group. RTA-related injuries were significantly lower during the lockdown period (n = 335 PL vs. 162 L [P = 0.048]). During the lockdown, there were more mild injuries (25.91% PL vs. 36.63% L) and less severe injuries (33.25% PL vs. 18.96% L [P = 0.0002]). Mortality was significantly less (P = 0.029) during the lockdown (n = 48 L vs. 124 PL). The proportion of RTA-related neurotrauma cases increased (33.33% L1, 57.14% L2, 73.13% L3, and 80.39% L4) with each phase of lockdown (L1-L4). Conclusions: During the lockdown period, the number of trauma cases had decreased, with a significant decrease in RTA-related admissions, along with their severity and mortality. The number of trauma cases and their severity increased gradually with each phase of lockdown.
Subject(s)
COVID-19 , Spinal Injuries , Humans , Male , Female , Pandemics , Accidents, Traffic , Retrospective Studies , Communicable Disease Control/methodsABSTRACT
The extreme traffic measures during the COVID-19 lockdown provided a unique opportunity to gain better insight into the relationship between traffic characteristics and NO2 concentrations in Maribor, a small Slovenian city. NO2, traffic and meteorological data were statistically processed in detail for March and April 2018, 2019 and 2020 to get a historical insight and to exclude the specifics of the lockdown period. The extreme event resulted in an average reduction of road traffic of 42%. The decrease in the number of passenger cars ranged from 33.9 to 60.3% per day with the largest decrease on the motorway. Daily averages of heavy goods traffic declined on the motorway and the expressway by 24.6% and 7%, respectively. Traffic characteristics were reflect-ed in a 24-27% decrease in NO2 concentrations at the urban station. The change is smaller than the change in traffic volume, which could be explained by the change in the composition of the vehicle fleet due to the increase in NO2-dominant traffic sources, e.g. diesel heavy goods vehicles. The presented results are relevant for improving air quality and sustainable mobility management in small cities. They highlight the important role of reorganisation of heavy goods traffic in urban logistics.
ABSTRACT
The covid 19 epidemic has been marking the pace of life around the world for the last two years, and it left clear marks on economic activity, our social life and even the pollution associated with human activity. One of the consequences is related to the decrease in car traffic, especially in the months of mandatory social confinement. This work analyzes the impact of the epidemic on traffic regarding access to the beaches of Barra and Costa Nova in the region of Aveiro, Portugal, through the infrastructure of the PASMO project. Therefore, the weekly and weekend traffic profiles evolution were analyzed over the various months of 2020. The work also compared the evolution of infections with the evolution of road traffic, as well as the impact of the various events related to the epidemic in road traffic.
ABSTRACT
The worldwide restrictions of social contacts that were implemented in spring 2020 to slow down infection rates of the SARS-CoV-2 virus resulted in significant modifications in mobility behaviour of urban residents. We used three-year eddy covariance measurements of size-resolved particle number fluxes from an urban site in Berlin to estimate the effects of reduced traffic intensity on particle fluxes. Similar observations of urban surface-atmosphere exchange of size-resolved particles that focus on COVID-19 lockdown-related effects are not available, yet. Although the site remained a net emission source for ultrafine particles (UFP, Dp < 100 nm), the median upward flux of ultrafine particles (FUFP) decreased from 8.78 × 107 m-2 s-1 in the reference period to 5.44 × 107 m-2 s-1 during the lockdown. This was equivalent to a relative reduction of -38 % for median FUFP, which was similar to -35 % decrease of road traffic intensity in the flux source area during that period. The size-resolved analysis demonstrated that, on average, net deposition of UFP occurred only during night when particle emission source strength by traffic was at its minimum, whereas accumulation mode particles (100 nm < Dp < 200 nm) showed net deposition also during daytime. The results indicate the benefits of traffic reductions as a mitigation strategy to reduce UFP emissions to the urban atmosphere.
Subject(s)
Air Pollutants , COVID-19 , Air Pollutants/analysis , Atmosphere , Communicable Disease Control , Environmental Monitoring/methods , Humans , Particle Size , Particulate Matter/analysis , SARS-CoV-2 , Vehicle Emissions/analysisABSTRACT
Background With an increasing number of cases of COVID-19 disease, the Indian government announced a complete lockdown on March 24, 2020, and the country remained under complete lockdown in April 2020. After ramping up health infrastructure and although cases were on the rise, the lockdown was ordered to gradually lift in May 2020. Methodology It was a retrospective cross-sectional study of all patients admitted to our medical college trauma center in April 2020 and who were compared with April 2019. We studied the prevalence and outcome of road traffic accidents (RTA), assault, and fall from height (FFH) victims admitted to our trauma center. Data were collected using an Excel sheet, and statistical analysis was done using the latest available SSPS software. Results Our study groups included 124 trauma patients from April 2020 as compared with 322 trauma patients from April 2019. The intense lockdown resulted in a decrease in the number of RTA (-72%), FFH (-29%), and assault patients (-7%). There was no statistically significant change in patients' care and management at our center in terms of mortality and morbidity. No Covid-19-positive neurosurgery trauma patients were admitted in April 2020 to our center. Conclusion During the stringent lockdown period of April 2020, there was a significant decrease in the number of trauma victims, especially RTAs. The intense lockdown resulted in a significant decrease in the proportion of trauma victims under the influence of alcohol, head injuries, fractures, and dislocations along with a decrease in the number of cases of assaults and FFH as compared with the unlock period.
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Objective: To evaluate the effect of COVID-19 pandemic on the incidence and mortality rate of road traffic injuries in Shiraz, Iran. Methods: This cross-sectional study was performed on the data of patients who admitted by road traffic accidents 18 months before the outbreak of COVID-19 and 18 months after COVID-19 in the largest provider of trauma level 1 care services in southern Iran. SPSS 19 software was used to analyze the data. Results: A significant decrease of 12.8% was observed in the number of patients admitted by road traffic accidents during the COVID-19 pandemic period compared to the same period before the pandemic (p<0.0001). But the death toll from road traffic accidents has increased significantly during the COVID-19 pandemic period compared to the same period before the pandemic (p=0.01). Conclusion: Due to the COVID-19 restrictions, it seems that factors such as restrictions on suburban travel, closure of public and recreational spaces, reduction of intra-city traffic, people staying at home and a significant reduction in injuries caused by traffic accidents, is reasonable. On the other hand, these restrictions, quarantines, and COVID disease itself can lead to confusion, anxiety, fear of infection, and thus avoid or delay the search for health care and increase mortality. Therefore, planning and policy-making is essential in order to prepare the correct guidance for seeking treatment.