The Effect of Social Distancing on the Early Spread of the Novel Coronavirus

A comparison of telehealth versus in-person group therapy: Results from a DBT-based dual diagnosis IOP

OBJECTIVE

The effectiveness of remotely delivered group interventions and treatments for individuals with more complex psychiatric presentations is understudied. Nevertheless, the emergence of the COVID-19 pandemic shifted such treatments from in-person to remote service delivery without the establishment of comparable effectiveness between in-person and remote delivery. The current study presents the results of a private practice's transition from in-person treatment delivery to a videoconference-delivered Dialectical Behavior Therapy (DBT)-based intensive outpatient program (IOP) for individuals with comorbid mental health and substance use disorder diagnoses in response to the pandemic.

METHODS

Change in symptoms of depression, anxiety, and stress following completion of the IOP was compared between the in-person and videoconference groups.

RESULTS

Large reductions in symptoms were found following completion of the IOP for both the in-person and videoconference groups. Furthermore, no significant differences in symptom reduction were found between the groups.

CONCLUSION

Although large-scale replication is needed, these results suggest that IOPs and other intensive group therapies delivered via videoconference may be as effective as in-person therapies, even among individuals with more complex psychiatric presentations. Providers who have transitioned group therapies to videoconference formats or are considering creating remote groups can be more confident that they are not sacrificing treatment efficacy.

Mathematical modeling and analysis of the SARS-Cov-2 disease with reinfection

The COVID-19 infection which is still infecting many individuals around the world and at the same time the recovered individuals after the recovery are infecting again. This reinfection of the individuals after the recovery may lead the disease to worse in the population with so many challenges to the health sectors. We study in the present work by formulating a mathematical model for SARS-CoV-2 with reinfection. We first briefly discuss the formulation of the model with the assumptions of reinfection, and then study the related qualitative properties of the model. We show that the reinfection model is stable locally asymptotically when R0<1. For R0≤1, we show that the model is globally asymptotically stable. Further, we consider the available data of coronavirus from Pakistan to estimate the parameters involved in the model. We show that the proposed model shows good fitting to the infected data. We compute the basic reproduction number with the estimated and fitted parameters numerical value is R0≈1.4962. Further, we simulate the model using realistic parameters and present the graphical results. We show that the infection can be minimized if the realistic parameters (that are sensitive to the basic reproduction number) are taken into account. Also, we observe the model prediction for the total infected cases in the future fifth layer of COVID-19 in Pakistan that may begin in the second week of February 2022.

Using time-use diaries to track changing behavior across successive stages of COVID-19 social restrictions

How did people change their behavior over the different phases of the UK COVID-19 restrictions, and how did these changes affect their risk of being exposed to infection? Time-use diary surveys are unique in providing a complete chronicle of daily behavior: 24-h continuous records of the populations' activities, their social context, and their location. We present results from four such surveys, collected in real time from representative UK samples, both before and at three points over the course of the current pandemic. Comparing across the four waves, we find evidence of substantial changes in the UK population's behavior relating to activities, locations, and social context. We assign different levels of risk to combinations of activities, locations, and copresence to compare risk-related behavior across successive "lockdowns." We find evidence that during the second lockdown (November 2020), there was an increase in high-risk behaviors relative to the first (starting March 2020). This increase is shown to be associated with more paid work time in the workplace. At a time when capacity is still limited both in respect of immunization and track-trace technology, governments must continue to rely on changes in people's daily behaviors to contain the spread of COVID-19 and similar viruses. Time-use diary information of this type, collected in real time across the course of the COVID-19 pandemic, can provide policy makers with information to assess and quantify changes in daily behaviors and the impact they are likely to have on overall behavioral-associated risks.

Drivers of COVID-19 vaccinations: vaccine delivery and delivery efficiency in the United States

This paper adds some formal research to the success of ongoing efforts to combat the COVID-19 pandemic by examining the drivers of the administration and delivery efficiency of coronavirus vaccines. For this purpose, we use data from the 50 US states and place the formal analysis in the context of socio-economic drivers of vaccinations. Results show that state-economic prosperity and rural population aid vaccine administration and delivery efficiency. Delivery efficiency improves in states with more nursing homes per capita, in states with more COVID-19 deaths, and with more health workers. A subset of health workers, including physicians and nurses, did not significantly impact administration or efficiency. On the other hand, vaccination efficiency was lower in states with a centralized public health agency. States with a larger share of the elderly population and those with Democrats as governors were no different from others with regard to vaccinations. Robustness checks are performed using vaccination data from a more recent period. Finally, a state’s legacy of corrupt activity, across two different time dimensions, is broadly consistent with the greasing effects of corruption. Some policy implications based on the evolving data are discussed.

COVID-19 vaccine rollout-scale and speed carry different implications for corruption

The sanctioning of different coronavirus vaccines (with some approved by regulators for public delivery, and others in the pipeline) has met with relief by many sections of the public and the government. However, partly due to the damages associated with the pandemic and the ensuing euphoria over vaccines' arrival, some of the challenges are mostly being ignored or are not recognized. This paper identifies some pitfalls and drawbacks in vaccine delivery. We argue that the somewhat unique tension between the speed of vaccine delivery and its scale can create opportunities for corrupt behavior that are often at odds with effective means to check abuse. While data on instances of abuse will emerge over time, it is useful to point out different avenues of abuse so that some preventive government actions can be undertaken. Specifically, we argue that the potential for out of turn delivery of vaccines and the stockpiling by unauthorized agents creates incentives for corruption, with the public or bureaucrats initiating corrupt transactions. An understanding of the potential avenues for corruption should guide the formulation of appropriate corruption-control policies and similar challenges that will be faced by policy makers in addressing future pandemics.

The COVID-19 pandemic: Theoretical and practical perspectives on children, women and sex trafficking

We provide theoretical and practical perspectives on children, women, and sex trafficking during the COVID-19 pandemic. Process tracing is employed as a primary research instrument. It is an analytical technique used for either theory-building or theory-testing purposes that is employed to elucidate causation and change as well as to develop and evaluate extant theories in social sciences. We illustrate that a policy is needed that will strengthen the capacity of existing structures in the fight against the underlying trafficking so that these attendant structures are efficiently used to stop the trafficking and avoid the corresponding threats to public health safety.