摘要 :
The global response to COVID-19 represented a“catastrophic failure of the international community inshowing solidary and equity”. This is the opening line ofthe initial draft of the “Pandemic Treaty” that the WorldHealth Organ...
展开
The global response to COVID-19 represented a“catastrophic failure of the international community inshowing solidary and equity”. This is the opening line ofthe initial draft of the “Pandemic Treaty” that the WorldHealth Organization (WHO) hopes to get all membercountries to finalise in the months ahead, with the intentionof working towards a better global response in futurepandemics [1]. This frank assessment highlights the needof all of us to learn the lessons from our responses toCOVID-19.
收起
摘要 :
Just as people living in the early 1900s experienced the horrors of World War I followed by the Spanish influenza epidemic, those of us surviving the coronavirus disease 2019 pandemic will have our lives forever changed. Both pand...
展开
Just as people living in the early 1900s experienced the horrors of World War I followed by the Spanish influenza epidemic, those of us surviving the coronavirus disease 2019 pandemic will have our lives forever changed. Both pandemics defied the capabilities of prevailing healthcare and public health. Since there was no known cure in either pandemic, much depended on nurses to fight the battle against the viruses. History has shown pandemics are occurring more frequently and are unpredictable in timing and severity. Therefore, we need to place focus on the valuable lessons from the century's two pandemics to prepare for future global disease outbreaks. Lessons that will benefit nursing are the importance of continual preparation and planning, care coordination across communities and healthcare systems, and ensuring nurses have the necessary resources and training to perform their roles in an effective and safe manner.
收起
摘要 :
Objectives. To describe our experiences in the management of the second wave of influenza A H1N1 (pH1N1) pandemic in a tertiary-care children's hospital. Methods. An autoethnographic study of the pandemic planning and management c...
展开
Objectives. To describe our experiences in the management of the second wave of influenza A H1N1 (pH1N1) pandemic in a tertiary-care children's hospital. Methods. An autoethnographic study of the pandemic planning and management committee members involved in managing the second wave of pH1N1 was conducted. Results. Staffing, surge capacity, communications and emergency operations planning by adding leaders of frontline workers and other key operational roles to the incident management team, and creating a tactical response team emerged as important factors in pandemic management in our hospital. The emergency department visits increased by 50%, necessitating increased staffing of the emergency department. Communications using existing chains of command had to be used to reach frontline staff during the pandemic. Conclusions. Incident management teams managing pandemics and other disasters have to be dynamic and create tactical teams to ensure implementation and facilitate bidirectional communication with frontline workers.
收起
摘要 :
During a pandemic, each country (or region) is characterized by a status matrix indicating its positive cases, hospitalizations and deaths. A pandemic performance indicator is a real-valued mapping from the set of status matrices ...
展开
During a pandemic, each country (or region) is characterized by a status matrix indicating its positive cases, hospitalizations and deaths. A pandemic performance indicator is a real-valued mapping from the set of status matrices to the set of non-negative real numbers, whereby lower values stand for better performance. We show that four axioms together characterize a family of indicators arising from a weighted average of the incidence rate, morbidity rate and mortality rate. We use these indicators to evaluate the impact of COVID-19 in major countries worldwide.
收起
摘要 :
The coronavirus pandemic has shed light on the detrimental impact of neoliberal policies on public health and well-being and as a result, there have been calls for increases in public spending to rectify the lack of public health ...
展开
The coronavirus pandemic has shed light on the detrimental impact of neoliberal policies on public health and well-being and as a result, there have been calls for increases in public spending to rectify the lack of public health services. However, neoliberal right-wing parties have dismissed such calls, pointing instead to Asian countries as examples in successfully controlling the pandemic without high public health spending, attributing this to the entrepreneurial orientation of their governments, as opposed to their public services. This article refutes this idea, instead charting the reasons that Asian countries have better controlled the pandemic including prior experience of pandemics, cultural factors, and various successful public health policies. The article concludes by looking at the example of Trump and demonstrating the inadequacies of the business model for dealing with the coronavirus pandemic.
收起
摘要 :
With one of the highest testing rates of COVID-19 in Latin America, Chile continues to record low mortality rates from the disease. Several measures such as curfews, cancellation of large gatherings, and closure of schools and bus...
展开
With one of the highest testing rates of COVID-19 in Latin America, Chile continues to record low mortality rates from the disease. Several measures such as curfews, cancellation of large gatherings, and closure of schools and businesses have been implemented. Against the backdrop of high levels of alcohol/substance abuse, mental health disorders, and inequalities across Chile, it is likely that levels of stress and anxiety will peak during the COVID-19 pandemic. As key public health responses such as testing, contact tracing, isolation and management of confirmed cases of COVID-19 are being ramped up, it is expedient to prioritize measures to safeguard the mental health of Chileans.
收起
摘要 :
It has been one year since the coronavirus pandemic swept the globe. OIDA predicted in the July/August 2020 OPN that industry revenues in 2020 would be 11%-15% below 2019. That forecast appears to be on target, but what about 2021...
展开
It has been one year since the coronavirus pandemic swept the globe. OIDA predicted in the July/August 2020 OPN that industry revenues in 2020 would be 11%-15% below 2019. That forecast appears to be on target, but what about 2021? And how is the community doing apart from the numbers?
收起
摘要 :
Forecasting future outbreaks can help in minimizing their spread. Influenza is a disease primarily found in animals but transferred to humans through pigs. In 1918, influenza became a pandemic and spread rapidly all over the world...
展开
Forecasting future outbreaks can help in minimizing their spread. Influenza is a disease primarily found in animals but transferred to humans through pigs. In 1918, influenza became a pandemic and spread rapidly all over the world becoming the cause behind killing one-third of the human population and killing one-fourth of the pig population. Afterwards, that influenza became a pandemic several times on a local and global levels. In 2009, influenza 'A' subtype H1N1 again took many human lives. The disease spread like in a pandemic quickly. This paper proposes a forecasting modeling system for the influenza pandemic using a feed-forward propagation neural network (MSDII-FFNN). This model helps us predict the outbreak, and determines which type of influenza becomes a pandemic, as well as which geographical area is infected. Data collection for the model is done by using IoT devices. This model is divided into 2 phases: The training phase and the validation phase, both being connected through the cloud. In the training phase, the model is trained using FFNN and is updated on the cloud. In the validation phase, whenever the input is submitted through the IoT devices, the system model is updated through the cloud and predicts the pandemic alert. In our dataset, the data is divided into an 85% training ratio and a 15% validation ratio. By applying the proposed model to our dataset, the predicted output precision is 90%.
收起
摘要 :
Publicly available influenza modeling tools are of limited use to hospitals and local communities in planning for a severe
pandemic. We developed Panalysis, a new tool to estimate the likely healthcare consequences of a pandemic a...
展开
Publicly available influenza modeling tools are of limited use to hospitals and local communities in planning for a severe
pandemic. We developed Panalysis, a new tool to estimate the likely healthcare consequences of a pandemic and to aid
hospitals in the development of mitigation and response strategies. By way of example, we demonstrate how Panalysis can
be used to plan for a 1918-like flu pandemic. We discuss potential future applications of this tool.
收起
原文获取