ABSTRACT
The effects brought by climate change and the pandemic upon worker health and wellbeing are varied and necessitate the identification and implementation of improved strategic interventions. This review aims, firstly, to assess how climate change affects occupational accidents, focusing on the impacts of extreme air temperatures and natural disasters; and, secondly, to analyze the role of the pandemic in this context. Our results show that the manifestations of climate change affect workers physically while on the job, psychologically, and by modifying the work environment and conditions; all these factors can cause stress, in turn increasing the risk of suffering a work accident. There is no consensus on the impact of the COVID-19 pandemic on work accidents; however, an increase in adverse mental effects on workers in contact with the public (specifically in healthcare) has been described. It has also been shown that this strain affects the risk of suffering an accident. During the pandemic, many people began to work remotely, and what initially appeared to be a provisional situation has been made permanent or semi-permanent in some positions and companies. However, we found no studies evaluating the working conditions of those who telework. In relation to the combined impact of climate change and the pandemic on occupational health, only publications focusing on the synergistic effect of heat due to the obligation to wear COVID-19-specific PPE, either outdoors or in poorly acclimatized indoor environments, were found. It is essential that preventive services establish new measures, train workers, and determine new priorities for adapting working conditions to these altered circumstances.
Subject(s)
COVID-19 , Occupational Health , Humans , COVID-19/epidemiology , Climate Change , Pandemics , AccidentsABSTRACT
Dooring Bicycle Accidents with Severe Injury Patterns: 10-Year Study of a Level 1 Trauma Center Abstract. Studies in Switzerland, Germany and Austria have shown that, contrary to popular belief, dooring accidents are among the most common bicycle accidents. The resulting injuries are often serious and often lead to hospital admission. All dooring accidents of the Inselspital Emergency Department in Bern between 2012 and 2021 were identified and evaluated retrospectively. The data were generated from the database of the management system (Ecare) of the University Hospital Bern by means of a search query with the German keywords: "Autotüre", "Autotuere", "Dooring" and were anonymised. Most patients were female and on average 34 years old; most injuries occurred to the head and the extremities. Treatment was mostly done on an outpatient basis. The ISS (Injury Severity Score) was an average of 3.5. One of the patients needed emergency surgery. This is the first Swiss study to systematically record and evaluate dooring accidents. Since cycling is a trend, especially in urban areas, and consequently the number of cyclists is constantly increasing, it can be assumed that the number of dooring injuries will also increase and corresponding prevention measures will have to be taken. The current COVID-19 pandemic tends to aggravate the problem, as in the context of infection control the number of cyclists and, consequently, accidents is increasing, especially in urban areas, in the context of infection control. This said, it is crucial to gain more information about the time slots of the accidents and the casualties through appropriate studies in order to take adequate preventive and protective measures.
Subject(s)
COVID-19 , Craniocerebral Trauma , Accidents , Accidents, Traffic , Adult , Bicycling/injuries , Craniocerebral Trauma/epidemiology , Female , Head Protective Devices , Humans , Male , Pandemics , Retrospective Studies , Trauma CentersABSTRACT
BACKGROUND: We proposed to analyze thoroughly the impact of the COVID-19 lockdown (CL) in changes of profiles and in trend of the domestic accidents (DAs) in children. METHODS: This was a single experience, cross-sectional study conducted at the emergency department (ED) of III trauma center. We enrolled children under 18 years admitted to ED with a diagnosis of DAs comparing the CL period from 10th March 2020 to 4th May 2020 with the same period of the previous year,10th March 2019 to 4th May 2019. RESULTS: In CL period, the cumulative incidence of ED visits for DAs increased from 86.88 to 272.13 per 1,000 children and the cumulative incidence of hospitalizations for DAs increased from 409.72 to 534.48 per 1,000 children. We reported in CL a decrease in the severity of ED presentation assessed by proxy measures: the level of priority ED visits reduced by 67% in CL period (OR: 0.33; 95%CI 0.22-0.48; p < 0.001); the likelihood of delayed time of presentation to ED increased by 65% in case of domestic injuries occurring in CL period (OR: 1.65; 95% CI: 1.17-2.34; p = 0.004); the odds of transfer from other hospital decreased by 78% in CL (OR: 0.15-0.33; p < 0.001). Children were more at risk of poisoning (OR:3.35-106.11; p = 0.001), of body foreign ingestion (OR: 1.83-14.39; p = 0.002) and less at risk of animal bite trauma (OR:0.05-0.35; p < 0.001). CONCLUSION: Although the need to stay home has made a decisive breakthrough on the spread of COVID-19, the experience from this study underlines how this preventive measure has also had a downside in term of increased cumulative incidence of ED visits and of hospitalizations for DA.
Subject(s)
COVID-19 , Accidents , COVID-19/epidemiology , Communicable Disease Control , Cross-Sectional Studies , Disease Outbreaks , Emergency Service, Hospital , Humans , Retrospective StudiesABSTRACT
AIM: To evaluate the potential influencing factors of acute stress disorder (ASD) in patients with accidental traumatic fractures to provide evidence for clinical nursing care. DESIGN: A retrospective study. METHODS: Patients with traumatic fractures treated in our hospital from 1 January 2020 to 30 November 2021 were included. The characteristics of ASD and no ASD patients were assessed. RESULTS: A total of 468 patients with traumatic fractures were included, the incidence of ASD was 28.20%. Logistic regression analysis showed that age ≤50 years (OR2.918, 95% CI1.994 ~ 3.421), female (OR2.074, 95% CI1.489 ~ 3.375), AIS-ISS at admission ≥20 (OR3.981, 95% CI2.188 ~ 5.091), VAS at admission≥7 (OR2.804, 95% CI2.027 ~ 3.467), introverted personality (OR1.722, 95%CI1.314 ~ 2.432) and CD-RISC at admission≤60 (OR3.026, 95% CI2.338 ~ 4.769) were the risk factors of ASD in patients with traumatic fractures (all p < .05). CONCLUSIONS: The development of ASD in patients with traumatic fractures is affected by multiple factors. Medical workers should take early and timely management and nursing measures for related risk factors to reduce the occurrence of ASD.
Subject(s)
Fractures, Bone , Stress Disorders, Traumatic, Acute , Accidents , Female , Fractures, Bone/epidemiology , Humans , Middle Aged , Retrospective Studies , Risk FactorsABSTRACT
OBJECTIVES: Climate changes are the major challenge in public and individual health, as they modify the ecosystem and yield contagious diseases from animal to human. Furthermore, we notice the rapid development of elderly, changing the population demographic. These critical measures have imposed economical costs, require trained personnel, and reduce the healthcare systems' performances. METHODS: COVID-19 pandemic showed that digital health paradigms such as m-health, telemedicine, and Internet of medical things (IoMT) should be further developed for such disasters. Quarantine was experienced frequently at different levels, which indicates the urgent need to develop smart medical homes for continuous monitoring of the patients. Human health, environment, and animals are the three interwoven aspects of public health that should be formulated under a conceptual and unified framework. Accident and Emergency Informatics (A&EI) considers the prediction and prevention of an individual's health in the long term and detects instant accidents and emergencies for further processes linking to hospital and rescue services for lowering the impact. One Digital Health (ODH) considers the health of the human, the animal, and the environment as a whole. RESULTS & CONCLUSION: In this position paper, we discuss the mutual benefits of A&EI and ODH in disaster management. We outline the mission, current status of A&EI in healthcare, and summarize the most important development of A&EI-related scope in the other fields of science. We discuss developing smart environments to monitor environmental and animal aspects. Then we examine the use of the ODH framework for enhancing the A&EI capacities to deal with complex disasters. Moreover, we discuss the further development of the international standard accident number (ISAN) to include and link environmental and animal event related data. Besides, ODH will cope with the A&EI protocols and technical specifications to be part of A&EI in the application layer.
Subject(s)
COVID-19 , Pandemics , Humans , Aged , Pandemics/prevention & control , Ecosystem , Accidents , InformaticsABSTRACT
BACKGROUND: The prevention of dog bites is an increasingly important public health topic, as the incidence of serious injury continues to rise. OBJECTIVES: To evaluate the effectiveness of interventions to prevent dog bites and aggression. METHODS: Online databases were searched (PubMed, Cochrane Library, Embase and Google Scholar), using the search terms: dog/s, canine, canis, kuri, bite/s, bitten, aggression, attack, death, fatal, mortality, injury/ies, prevention, intervention, for studies between 1960 and 2021. All study designs were considered. Outcomes of interest were the incidence of dog bites or dog aggression. Non-English studies, and those without full-text access were excluded. RESULTS: Forty-three studies met the review criteria, including 15 observational and 27 interventional studies. Fifteen studies investigating dog-control legislation, including leash laws, stray dog control and infringements indicated this can reduce dog bite rates. Breed-specific legislation had less of an effect. Six studies investigating sterilisation, showed while this may reduce dog bites through a reduction in the dog population, the effect on dog aggression was unclear. An alcohol reduction programme showed a significant reduction in dog bite rates in one study. Seven studies assessing educational approaches found that intensive adult-directed education may be effective, with one study showing child-directed education was not effective. Eight studies on dog training (two police-dog related), and six evaluating dog medication or diet were generally low quality and inconclusive. CONCLUSIONS: Multiple strategies including effective engagement with indigenous communities and organisations will be required to reduce dog-bites and other incidents involving dog aggression. This review provides some evidence that legislated dog control strategies reduce dog bite rates. Available evidence suggests greater restrictions should be made for all dogs, rather than based on breed alone. Due to a burden of child injury, protection of children should be a focus of legislation and further investigations. Prevention strategies in children require redirection away from a focus on child-directed education and future research should investigate the effectiveness of engineering barriers and reporting strategies.
Subject(s)
Bites and Stings , Accidents , Aggression , Animals , Bites and Stings/epidemiology , Bites and Stings/prevention & control , Breeding , Dogs , Humans , IncidenceABSTRACT
BACKGROUND: This study aims to investigate the impact of the lockdowns during the COVID-19 (Corona-Virus-Disease 19) pandemic in Austria on work-related accidents in the year 2020. Apart from the lockdowns, multiple work-related measures were introduced in 2020, such as the new law on short-term work and regulation on accidents during home-office. Their combined effects on work-related accidents are unknown and a secondary parameter of this study. METHODS: Daily data on the number of accepted and rejected cases of work-related accidents from the Allgemeine Unfallversicherungsanstalt were obtained for the years 2019 and 2020. Based on data provided by the World Health Organization and government publications, the beginning and end dates of national hard and soft lockdown periods were derived. From this database, a difference-in-differences regression analysis on the absolute number of daily work-related accidents was conducted. RESULTS: On average 272.3 work-related accidents per day were registered in 2019 and 199.4 in 2020, a statistically significant reduction of 72.9 accidents per day and total decrease of 26,164 less accidents compared to 2019. Both lockdowns had a statistically highly significant effect on work-related accidents: The hard lockdown reduced the average number of daily registered work-related accidents by 40%. The light lockdown phases reduced this number by an average of 51%. Weekends and holidays had the greatest impact on work-related accidents with a reduction of 69% and 73%, respectively. CONCLUSION: Both lockdown qualities during the COVID-19 pandemic in Austria led to a significant reduction in work-related accidents for their duration. These findings merit further investigation with more detailed data on sectors and injury-quality.
Subject(s)
COVID-19 , Accidents , Austria/epidemiology , COVID-19/epidemiology , Communicable Disease Control , Humans , Pandemics , SARS-CoV-2ABSTRACT
INTRODUCTION: It is now known that COVID-19 has long term effects that may not correlate with clinical severity of disease. The known pulmonary and cardiovascular changes as well as thrombotic tendency could predispose to diving accidents. We aimed to investigate COVID-19 related changes that may cause disqualification from diving among divers who recovered from the disease. METHODS: Occupational and recreational divers who applied for fitness to dive (FTD) assessment after COVID-19 infection were included. Routine FTD assessments were performed. Details of COVID-19 history were evaluated. Lung computed tomography (CT) scans were advised if not previously performed or if there were COVID-19 related changes in previous scans. Divers with pathological findings were restrained from diving and followed prospectively. RESULTS: Forty-three divers were analysed. Thirteen divers were restrained from diving, all due to persistent COVID-19 related changes in lung CT. The prevalence of CT with at least one lung lesion was 68.2% at the time of diagnosis, 73.3% in the first three months after diagnosis and 19.2% later. The most common CT findings were glass ground opacities and fibrotic changes. Demographic characteristics and COVID-19 history of divers deemed 'unfit' were similar to those deemed 'fit'. CONCLUSIONS: Divers who recover from COVID-19 should undergo FTD assessments before resuming diving. A chest CT performed at least three months after diagnosis may be suggested.
Subject(s)
COVID-19 , Diving , Accidents , COVID-19/epidemiology , Diving/adverse effects , Exercise , Humans , PrevalenceABSTRACT
Accidentally clicking on a link is a type of human error known as a slip in which a user unintentionally performs an unintended task. The risk magnitude is the probability of occurrences of such error with a possible substantial effect to which even experienced individuals are susceptible. Phishing attacks take advantage of slip-based human error by attacking psychological aspects of the users that lead to unintentionally clicking on phishing links. Such actions may lead to installing tracking software, downloading malware or viruses, or stealing private, sensitive information, to list a few. Therefore, a system is needed that detects whether a click on a link is intentional or unintentional and, if unintentional, can then prevent it. This paper proposes a micro-behavioral accidental click detection system (ACDS) to prevent slip-based human error. A within-subject-based experiment was conducted with 20 participants to test the potential of the proposed system. The results reveal the statistical significance between the two cases of intentional vs. unintentional clicks using a smartphone. Random tree, random forest, and support vector machine classifiers were used, exhibiting 82.6%, 87.2%, and 91.6% accuracy in detecting unintentional clicks, respectively.
Subject(s)
Computer Security , Software , Accidents , Data Collection , HumansSubject(s)
Hydroxychloroquine , Periodicals as Topic , Accidents , Deception , Humans , Hydroxychloroquine/adverse effectsABSTRACT
The origin of SARS-CoV-2 is still the subject of a controversial debate. The natural origin theory is confronted to the laboratory leak theory. The latter is composite and comprises contradictory theories, one being the leak of a naturally occurring virus and the other the leak of a genetically engineered virus. The laboratory leak theory is essentially based on a publication by Rahalkar and Bahulikar in 2020 linking SARS-CoV-2 to the Mojiang mine incident in 2012 during which six miners fell sick and three died. We analyzed the clinical reports. The diagnosis is not that of COVID-19 or SARS. SARS-CoV-2 was not present in the Mojiang mine. We also bring arguments against the laboratory leak narrative.
Subject(s)
COVID-19 , Accidents , Humans , Laboratories , SARS-CoV-2ABSTRACT
BACKGROUND: The COronaVIrus Disease 2019 (COVID-19) has spread in Italy since February 2020, inducing the government to call for lockdown of any activity, apart primary needs, during the months March-May 2020. During the lockdown, a reduction of admissions and hospitalizations for ischemic diseases was noticed. Purpose of this study was to observe if there has been the same reduction trend in Accident & Emergency (A&E) unit admissions also for obstetric-gynecological conditions. METHODS: Medical records and electronic clinical databases were searched for all patients who were admitted to the obstetric A&E department or hospitalized at the Gynecology and Obstetrics Unit of University hospital of Naples Federico II, during the quarter March-May in the years 2019 and 2020. The mean ± standard deviation (SD) of monthly admission to the obstetric A&E department and hospitalization of the year 2020 was compared with that of the year 2019, using the unpaired T test with α error set to 0.05 and 95% confidence intervals (95% CI). RESULTS: Admissions were 1483 in the year 2020 and 1786 in 2019. Of total, 1225 (37.5%) women were hospitalized: 583 in the year 2020, 642 in 2019. Mean ± SD of patients monthly admitted to our obstetric A&E department was 494 ± 33.7 in the year 2020, and 595.3 ± 30.9 in 2019, with a mean difference of - 101.3 (95% CI - 103.5 to - 99.1; p < 0.0001). Mean ± SD of patients monthly hospitalized to our department was 194 ± 19.1 in the year 2020, 213.7 ± 4.7 in 2019, with a mean difference of - 19.7 (95% CI - 23.8 to - 15.6; p < 0.0001). CONCLUSION: A significant decrease in the mean of monthly admissions and hospitalizations during the COVID-19 pandemic when compared to the previous year was found also for obstetric-gynecological conditions. Further studies are necessary to assess COVID-19 impact and to take the most appropriate countermeasures.
Subject(s)
COVID-19 , Obstetrics , Accidents , COVID-19/epidemiology , Communicable Disease Control , Female , Hospitalization , Hospitals , Humans , Italy/epidemiology , Pandemics , Pregnancy , Retrospective Studies , SARS-CoV-2Subject(s)
COVID-19 , Health Status Disparities , Accidents , Hospitals , Humans , Referral and Consultation , SARS-CoV-2 , ScotlandABSTRACT
This study evaluates through modelling the possible individual and combined effect of three populational parameters of pathogens (reproduction rate; rate of novelty emergence; and propagule size) on the colonization of new host species-putatively the most fundamental process leading to the emergence of new infectious diseases. The results are analysed under the theoretical framework of the Stockholm Paradigm using IBM simulations to better understand the evolutionary dynamics of the pathogen population and the possible role of Ecological Fitting. The simulations suggest that all three parameters positively influence the success of colonization of new hosts by a novel parasite population, but contrary to the prevailing belief, the rate of novelty emergence (e.g. mutations) is the least important factor. Maximization of all parameters results in a synergetic facilitation of the colonization and emulates the expected scenario for pathogenic microorganisms. The simulations also provide theoretical support for the retention of the capacity of fast-evolving lineages to retro-colonize their previous host species/lineage by ecological fitting. Capacity is, thus, much larger than we can anticipate. Hence, the results support the empirical observations that opportunity of encounter (i.e. the breakdown in mechanisms for ecological isolation) is a fundamental determinant to the emergence of new associations-especially Emergent Infectious Diseases-and the dynamics of host exploration, as observed in SARS-CoV-2. Insights on the dynamics of Emergent Infectious Diseases derived from the simulations and from the Stockholm Paradigm are discussed.
Subject(s)
COVID-19 , Communicable Diseases , Accidents , Animals , COVID-19/epidemiology , COVID-19/veterinary , Communicable Diseases/parasitology , Communicable Diseases/veterinary , Host-Parasite Interactions , SARS-CoV-2/geneticsABSTRACT
OBJECTIVES: The primary objective of the present study was to describe the characteristics of adverse drug reactions (ADRs) linked to self-medication that were notified to the French Pharmacovigilance Database (FPVD) during the COVID-19 outbreak in 2020 first wave. The secondary objective was to compare the characteristics of these ADRs in 2020 with those notified during the same calendar period a year previously. MATERIAL AND METHODS: We analyzed ADRs recorded in the FPVD between March 15th and May 31st, 2020 vs. the same dates in 2019. Only ADRs linked to self-medication were analyzed. Descriptive statistics were used to obtain an overview of the types and characteristics of these ADRs. RESULTS: Of 3114 ADRs notified to the FPVD during the COVID-19 period in 2020, 114 (3.7%) were linked to self-medication. The equivalent proportion in 2019 was 1.6% (113 out of 7097). Half of the ADRs notified in 2020 were "serious". The median age of affected patients was 30.5, and 22% of the ADRs concerned children. Of the 114 ADRs linked to self-medication, 107 (66%) were for prescription-only drugs. The three mostly frequently suspected ATC classes were analgesics, psycholeptics, and antibacterials for systemic use. The most frequent ADRs were general disorders, gastrointestinal disorders, and nervous system disorders. The main difference between the non-COVID-19 period and the COVID-19 period was the higher proportion of medication errors during the latter. CONCLUSION: The present study is the first to have reported on ADRs linked to self-medication and notified during a COVID-19 outbreak. Further studies of self-medication patterns and their consequences in a pandemic context are mandatory and effective information on medication use (including self-medication and its dangers) during a pandemic is essential.
Subject(s)
Adverse Drug Reaction Reporting Systems , COVID-19 , Drug-Related Side Effects and Adverse Reactions/epidemiology , Pandemics , Self Medication/adverse effects , Self Report , Accidents , Adolescent , Child , Child, Preschool , Drug Overdose/epidemiology , France , Humans , Medical Errors , PharmacovigilanceABSTRACT
BACKGROUND: The disproportionate burden of COVID-19 on ethnic minority populations has recently highlighted the necessity of maintaining accessible, routinely collected, ethnicity data within healthcare services. Despite 25 years of supportive legislation and policy in the UK, ethnicity data recording remains inconsistent, which has hindered needs assessment, evaluation and decision-making. We describe efforts to improve the completeness, quality and usage of ethnicity data within our regional health board, NHS Lothian. METHODS: The Ethnicity Coding Task Force was established with the aim of increasing ethnicity recording within NHS Lothian secondary care services from 3 to 90% over 3 years. We subsequently analysed these data specifically focusing on Accident and Emergency (A&E) use by ethnic group. RESULTS: We achieved 91%, 85% and 93% completeness of recording across inpatients, outpatients and A&E, respectively. Analysis of A&E data found a mixed pattern of attendance amongst ethnic minority populations and did not support the commonly perceived relationship between lower GP registration and higher A&E use within this population. CONCLUSIONS: We identified a successful approach to increase ethnicity recording within a regional health board, which could potentially be useful in other settings, and demonstrated the utility of these data in informing assessment of healthcare delivery and future planning.