An increasing risk of family violence during the Covid-19 pandemic: Strengthening community collaborations to save lives
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ABSTRACT:
SUBMITTER: Campbell A
PROVIDER: S-EPMC7152912 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:This paper studies whether containing COVID-19 pandemic by stringent strategies deteriorates or saves economic growth. Since there are country-specific factors that could affect both economic growth and deaths due to COVID-19, we first start with a cross-country analysis on identifying risk and protective factors on the COVID-19 deaths using large across-country variation. Using data on 100 countries from 3 January to 27 November 2020 and taking into account the possibility of underreporting, we find that for deaths per million population, GDP per capita, population density, and income inequality are the three most important risk factors; government effectiveness, temperature, and hospital beds are the three most important protective factors. Second, inspired by the stochastic frontier literature, we construct a measure of pandemic containment effectiveness (PCE) after controlling for country-specific factors and rank countries by their PCE scores for deaths. Finally, by linking the PCE score with GDP growth data in Quarters 2 and 3 of 2020, we find that PCE is positively associated with economic growth in major economies. Countries with average PCE scores, such as Malaysia, would gain more GDP growth by 3.47 percentage points if they could improve their PCE scores for deaths to South Korea's level in Q2 of 2020. Therefore, there is not a trade-off between lives and livelihood facing by governments. Instead, to save economy, it is important to contain the pandemic first. Our conclusion is also mainly valid for infections due to COVID-19.
| S-EPMC8907024 | biostudies-literature
Project description: Not available
| S-EPMC7272184 | biostudies-literature
Project description:ObjectivesThe aim of the study was to assess the impact of social distancing interventions in Greece and to examine what would have happened if those interventions had not been implemented.Study designA dynamic, discrete time, stochastic individual-based model was developed to simulate coronavirus disease 2019 (COVID-19) transmission.MethodsThe model was fitted to the observed trends in COVID-19 deaths and intensive care unit (ICU) bed use in Greece.ResultsIf Greece had not implemented social distancing interventions, the healthcare system would have been overwhelmed between March 30 and April 4. The combined social distancing interventions and increase in ICU beds averted 4360 (95% credible interval: 3050, 5700) deaths and prevented the healthcare system from becoming overwhelmed.ConclusionsThe quick and accurate interventions of the Greek government limited the burden of the COVID-19 outbreak.
| S-EPMC7447221 | biostudies-literature
Project description:Health insurance characteristics shift at age 65 as most people become eligible for Medicare. We measure the impacts of these changes on patients who are admitted to hospitals through emergency departments for conditions with similar admission rates on weekdays and weekends. The age profiles of admissions and comorbidities for these patients are smooth at age 65, suggesting that the severity of illness is similar on either side of the Medicare threshold. In contrast, the number of procedures performed in hospitals and total list charges exhibit small but statistically significant discontinuities, implying that patients over 65 receive more services. We estimate a nearly 1-percentage-point drop in 7-day mortality for patients at age 65, equivalent to a 20% reduction in deaths for this severely ill patient group. The mortality gap persists for at least 9 months after admission.
| S-EPMC2777733 | biostudies-literature
Project description:Global vaccination effort and better understanding of treatment strategies provided a ray of hope for improvement in COVID-19 pandemic, however, in many countries, the disease continues to collect its death toll. The major pathogenic mechanism behind severe cases associated with high mortality is the burst of pro-inflammatory cytokines TNF, IL-6, IFNγ and others, resulting in multiple organ failure. Although the exact contribution of each cytokine is not clear, we provide an evidence that the central mediator of cytokine storm and its devastating consequences may be TNF. This cytokine is known to be involved in activated blood clotting, lung damage, insulin resistance, heart failure, and other conditions. A number of currently available pharmaceutical agents such as monoclonal antibodies and soluble TNF receptors can effectively prevent TNF from binding to its receptor(s). Other drugs are known to block NFkB, the major signal transducer molecule used in TNF signaling, or to block kinases involved in downstream activation cascades. Some of these medicines have already been selected for clinical trials, but more work is needed. A simple, rapid, and inexpensive method of directly monitoring TNF levels may be a valuable tool for a timely selection of COVID-19 patients for anti-TNF therapy.
| S-EPMC8787182 | biostudies-literature
Project description:A wide variety of animals become completely immobile after initial contact with a potential predator. This behaviour is considered to be a last-ditch escape strategy. Here, we test the hypothesis that such immobility should have an extremely unpredictable duration. We find that it spans more than three orders of magnitude in antlion larvae. We also analyse the second period of immobility that follows the first bout of immobility, and consider the distributions of both first and second immobility periods within the context of the intermittence that characterizes the movement of most organisms. Both immobility durations were fitted best by exponential distributions. Therefore, both were characterized by high variability and hence, unpredictability. The immobility half-life, its mean duration and standard deviation were greater for the first than the second immobility. Furthermore, individual consistency was weak or absent in repeated measures of the first immobility and between the first and second immobilities. Our quantitative approach can be replicated across taxa and would help link an understanding of immobility after an initial predator contact in both vertebrates and invertebrates. To facilitate this, we contend that the terminology should be simplified, and we advocate the use of the term post-contact immobility (PCI).
| S-EPMC7423462 | biostudies-literature
Project description: Not available
| S-EPMC1482364 | biostudies-literature
Project description:BackgroundFamily violence (including intimate partner violence/domestic violence, child abuse, and elder abuse) is a hidden pandemic happening alongside COVID-19. The rates of family violence are rising fast, and women and children are disproportionately affected and vulnerable during this time.ObjectiveThis study aims to provide a large-scale analysis of public discourse on family violence and the COVID-19 pandemic on Twitter.MethodsWe analyzed over 1 million tweets related to family violence and COVID-19 from April 12 to July 16, 2020. We used the machine learning approach Latent Dirichlet Allocation and identified salient themes, topics, and representative tweets.ResultsWe extracted 9 themes from 1,015,874 tweets on family violence and the COVID-19 pandemic: (1) increased vulnerability: COVID-19 and family violence (eg, rising rates, increases in hotline calls, homicide); (2) types of family violence (eg, child abuse, domestic violence, sexual abuse); (3) forms of family violence (eg, physical aggression, coercive control); (4) risk factors linked to family violence (eg, alcohol abuse, financial constraints, guns, quarantine); (5) victims of family violence (eg, the LGBTQ [lesbian, gay, bisexual, transgender, and queer or questioning] community, women, women of color, children); (6) social services for family violence (eg, hotlines, social workers, confidential services, shelters, funding); (7) law enforcement response (eg, 911 calls, police arrest, protective orders, abuse reports); (8) social movements and awareness (eg, support victims, raise awareness); and (9) domestic violence-related news (eg, Tara Reade, Melissa DeRosa).ConclusionsThis study overcomes limitations in the existing scholarship where data on the consequences of COVID-19 on family violence are lacking. We contribute to understanding family violence during the pandemic by providing surveillance via tweets. This is essential for identifying potentially useful policy programs that can offer targeted support for victims and survivors as we prepare for future outbreaks.
| S-EPMC7652592 | biostudies-literature
Project description:BackgroundThe potential for digital initiatives for opioid harm reduction is boundless. Synthesized evidence on current interventions and their efficacy are emerging. This scoping review is an effort to aggregate Canadian and Australian digital health initiatives used to prevent opioid-related deaths and minimize harm, prior to and particularly during the pandemic of SARs-COVID-19, when the crisis escalated.MethodsThe Joanna Briggs Institute's methodological framework for conducting scoping reviews was used. Peer reviewed and gray literature published between January 2016 to October 2021 were included. Search translation was performed across CINAHL, Cochrane, SCOPUS, MEDLINE Complete, and ProQuest Public Health with consistent use of key search terms. Citation checks were also conducted. Studies included were written in English and reported on digital technologies to prevent opioid-related harm and/or mortality in participants aged 18 years or older in Australia and Canada.ResultsA total of 16 publications were included in the final analysis (Australia = 5; Canada = 11). The most frequently reported digital technologies were telehealth to support access to treatment (n = 3) and mobile applications for overdose monitoring and prevention (n = 3). Telehealth-delivered opioid replacement therapy demonstrated equal outcomes and treatment retention rates compared to in-person and mobile applications for overdose monitoring demonstrated lifesaving capability through direct linkages with emergency response services.ConclusionsDigital interventions to minimize opioid crisis related harm and overdose prevention are fast emerging in Australia and Canada. During the pandemic, the crisis escalated in both countries as a public health emergency, and different initiatives were trialed. Digital harm reduction solutions via mobile apps (or SaaS solutions) were found to have the potential to prevent accidental overdose deaths and save lives, if rendered through privacy preserved, secure and trust enabled methods that empower users. Knowledge sharing between the two countries, relating to suitable interventions, may add significant value in combatting the escalating opioid crisis in the post pandemic era.
| S-EPMC9314644 | biostudies-literature
Project description:BackgroundHIV clinicians are uniquely positioned to treat their patients with opioid use disorder using buprenorphine to prevent overdose death. The Prescribe to Save Lives (PtSL) study aimed to increase HIV clinicians' buprenorphine prescribing via an overdose prevention intervention.MethodsThe quasi-experimental stepped-wedge study enrolled 22 Ryan White-funded HIV clinics and delivered a peer-to-peer training to clinicians with follow-up academic detailing that included overdose prevention education and introduced buprenorphine prescribing. Site-aggregated electronic medical record (EMR) data measured with the change in X-waivered clinicians and patients prescribed buprenorphine. Clinicians completed surveys preintervention and at 6- and 12-month postintervention that assessed buprenorphine training, prescribing, and attitudes. Analyses applied generalized estimating equation models, adjusting for time and clustering of repeated measures among individuals and sites.ResultsNineteen sites provided EMR prescribing data, and 122 clinicians returned surveys. Of the total patients with HIV across all sites, EMR data showed 0.38% were prescribed buprenorphine pre-intervention and 0.52% were prescribed buprenorphine postintervention. The intervention increased completion of a buprenorphine training course (adjusted odds ratio 2.54, 95% confidence interval: 1.38 to 4.68, P = 0.003) and obtaining an X-waiver (adjusted odds ratio 2.11, 95% confidence interval: 1.12 to 3.95, P = 0.02). There were nonsignificant increases at the clinic level, as well.ConclusionsAlthough the PtSL intervention resulted in increases in buprenorphine training and prescriber certification, there was no meaningful increase in buprenorphine prescribing. Engaging and teaching HIV clinicians about overdose and naloxone rescue may facilitate training in buprenorphine prescribing but will not result in more treatment with buprenorphine without additional interventions.
| S-EPMC9283214 | biostudies-literature