Effect of COVID-19 on cancer research nursing services

AUTH Why you should read this article: • To learn about the experience of early phase cancer research nurses during the COVID-19 pandemic • To appreciate the challenges and positive developments brought about by the COVID-19 pandemic in relation to nurses working on early phase cancer clinical trials • To recognise the positive implications for future cancer research nursing practice This service evaluation examined the experiences of adult and children's cancer research nurses working on early phase cancer clinical trials during the coronavirus disease 2019 (COVID-19) pandemic. A questionnaire was provided to early phase cancer research nurses at experimental cancer medicine centres, and alongside this there was an online discussion with eight of the nurses. The themes developed from the findings and online discussion provided an insight into the challenges faced by early phase cancer nurses during this unprecedented time and into some of the innovations, such as virtual appointments, adopted to overcome them. COVID-19 had a significant negative effect on the cancer research nurse workforce. However, peer support, networking opportunities, reflection and embracing innovation provided support for nurses and enhanced person-centred care.

Anvil - System Architecture and Experiences from Deployment and Early User Operations

Anvil is a new XSEDE advanced capacity computational resource funded by NSF. Designed with a systematic strategy to meet the ever increasing and diversifying research needs for advanced computational capacity, Anvil integrates a large capacity high-performance computing (HPC) system with a comprehensive ecosystem of software, access interfaces, programming environments, and composable services in a seamless environment to support a broad range of current and future science and engineering applications of the nation's research community. Anchored by a 1000-node CPU cluster featuring the latest AMD EPYC 3rd generation (Milan) processors, along with a set of 1TB large memory and NVIDIA A100 GPU nodes, Anvil integrates a multi-tier storage system, a Kubernetes composable subsystem, and a pathway to Azure commercial cloud to support a variety of workflows and storage needs. Anvil was successfully deployed and integrated with XSEDE during the world-wide COVID-19 pandemic. Entering production operation in February 2022, Anvil will serve the nation's science and engineering research community for five years. This paper describes the Anvil system and services, including its various components and subsystems, user facing features, and shares the Anvil team's experience through its early user access program from November 2021 through January 2022. © 2022 Owner/Author.

The Drone Scheduling Problem: A Systematic State-of-the-Art Review

Drones are receiving popularity with time due to their advanced mobility. Although they were initially deployed for military purposes, they now have a wide array of applications in various public and private sectors. Further deployment of drones can promote the global economic recovery from the COVID-19 pandemic. Even though drones offer a number of advantages, they have limited flying time and weight carrying capacity. Effective drone schedules may assist with overcoming such limitations. Drone scheduling is associated with optimization of drone flight paths and may include other features, such as determination of arrival time at each node, utilization of drones, battery capacity considerations, and battery recharging considerations. A number of studies on drone scheduling have been published over the past years. However, there is a lack of a systematic literature survey that provides a holistic overview of the drone scheduling problem, existing tendencies, main research limitations, and future research needs. Therefore, this study conducts an extensive survey of the scientific literature that assessed drone scheduling. The collected studies are grouped into different categories, including general drone scheduling, drone scheduling for delivery of goods, drone scheduling for monitoring, and drone scheduling with recharge considerations. A detailed review of the collected studies is presented for each of the categories. Representative mathematical models are provided for each category of studies, accompanied by a summary of findings, existing gaps in the state-of-the-art, and future research needs. The outcomes of this research are expected to assist the relevant stakeholders with an effective drone schedule design. IEEE

[Epidemiological approaches to address key research questions on COVID-19-an overview]. / Epidemiologische Ansätze zur Klärung wichtiger Forschungsfragen zu COVID-19 ­ eine Übersicht.

Epidemiology as a scientific discipline is predestined to address key problems in the COVID-19 pandemic. In order to do so, classic and new methods are used, and new challenges are emerging.This paper addresses the various phases of the population-based progression of SARS-CoV­2 infection and COVID-19. Based on a selective literature search, sample questions from studies conducted in Germany and internationally are presented, their respective epidemiological approaches discussed, and research gaps described.Scientific questions to be answered with epidemiological data and research approaches arise in every phase of infection and disease. Descriptive data are often generated via (repeated) cross-sectional studies. For analytical questions, such as the identification of risk groups, case-control studies could have provided valuable results, especially in the early phase of the pandemic, but were rarely conducted. Data from health insurance companies have an important function in the analysis of the course of disease; however, the potential of this data source with regard to questions on vaccination can probably hardly be used. Improved coordination of the various studies and a more "open data" oriented research infrastructure can further strengthen the contribution of epidemiology to the control of the current and future pandemics.

When silence goes viral, Africa sneezes! A perspective on Africa's subdued research response to COVID-19 and a call for local scientific evidence.

By mid-September 2020, over 1.33 million confirmed COVID-19 cases and 32 thousand deaths had been reported in Africa. Global research on COVID-19 went 'viral' with a record 3487 research contributions comprising of 2062 journal papers and 1425 preprints published within the first three months following the outbreak of COVID-19. Surprisingly, the silence of the African research community has been unprecedented - contributing a paltry 0.6% (22 contributions), a figure nearly matched by Colombia (18 publications). Until now, a comprehensive perspective on the reasons for this subdued research response, and COVID-19 themes critical to Africa has been missing. We posit that while a milieu of factors accounts for this silence, unprecedented research opportunities exist to support COVID-19 decision and policy formulation in Africa. The subdued response reflects weak research systems, characterized by deep-rooted challenges, including severe lack of research expertise, funding, and infrastructure, coupled with poor working conditions. Hence, Africa's contribution to research on infectious diseases, including COVID-19, remains weak. Perceptions and attitudes among researchers and policy-makers on COVID-19, and the role of science in decision and policy-making also exist. Moreover, COVID-19 and earlier severe acute respiratory syndromes are considered as 'imported diseases' originating from outside Africa. Thus, notions may exist that the control methods will come from outside Africa through 'technology-transfer' or 'capacity-building'. Yet local COVID-19 research is needed to address knowledge gaps, including; (1) potential novel transmission of SARS-CoV-2, (2) adaption of generic COVID-19 control measures to suit African settings, (3) occurrence and persistence of SARS-CoV-2 in solid waste, wastewaters, on-site sanitation systems, and drinking water, and (4) the 'human factor' including the role of gender, perceptions, myths, attitudes, and religious beliefs in the transmission and control of COVID-19. Therefore, there is a need to: (1) strengthen local research capacity and evaluation systems, (2) consider biosafety and ethical issues, (3) initiate cross-disciplinary research and global collaboration on COVID-19, and (4) integrate science communication in COVID-19 programs.

The missing pieces in the jigsaw and need for cohesive research amidst coronavirus infectious disease 2019 global response.

Identifying the research needs and gaps amidst this COVID-19 travelling across the countries is absolutely important for finely improving on the way we think and act. The natural history of the disease as well as viral shedding in different stages of clinical illness needs to be known which helps in triaging the patients in hospital settings. Animal and environmental interface need to be studied for defining the high-risk situations. Transmission dynamics in community or hospital and defining the laboratory criteria for the case confirmation will be most crucial. Gene sequencing and validation and, suitable use of molecular based tests such as real-time polymerase chain reaction (qRT-PCR) should be clearly evaluated for diagnosis and/ or surveillance. The movement control strategy must be defined to prevent secondary transmission in healthcare as well as in community settings. Repurposing of drug molecules is an elegant strategy to develop therapeutics in the case of pandemics quickly. Unproven practices and treatment protocols should invite critical scrutiny on the basis of ethics. Socioeconomic status of the community is also an important determinant for the compliance and sustainable public health measures.