The Politburo announced plans to stimulate China's economy which is expected to shrink significantly due to the coronavirus outbreak. This includes expanding the budget deficit, issuing more bonds, guiding interest rates lower, and boosting consumption. While locally transmitted cases in China have dwindled, there are now concerns around imported cases. Restrictions on foreigners entering China took effect and airlines were ordered to cut international flights.
This presentatin examines the impact of Covid-19 on infectious diseases such as HIV and TB. The writer explores the impact of Covid-19 on the global landscape, the global public health system and how social and physical distancing rules at the workplace are making it impossible for optimal production capacity.
After months of deliberation, the World Health Organization has
declared COVID-19 a pandemic. As it seemed clear for quite some time, the virus will likely spread to most (if not all) countries on the globe. However, actions can still limit its impact.
Social contacts are a key transmission channel of infectious diseases spread by the respiratory or close-contact route, such as COVID-19. There is no evidence, however, on the question of whether the nature and the organisation of work affect the spread of COVID-19 in different countries. I have developed a methodology to measure country-specific levels of occupational exposure to contagion driven by social contacts. I combined six indicators based on Occupation Information Network (O*NET) and the European Working Condition Survey (EWCS) data. I then applied them to 26 European countries, and found substantial cross-country differences in levels of exposure to contagion in comparable occupations. The resulting country-level measures of levels of exposure to contagion (excluding health professions) predict the growth in COVID-19 cases, and the number of deaths from COVID-19 in the early stage of pandemic (up to four weeks after the 100th case). The relationship between levels of occupational exposure to contagion and the spread of COVID-19 is particularly strong for workers aged 45-64. I found that 20-25% of the cross-country variance in numbers of COVID-19 cases and deaths can be attributed to cross-country differences in levels of occupational exposure to contagion in European countries. My findings are robust to controlling for the stringency of containment policies, such as lockdowns and school closures. They are also driven by country-specific patterns of social contacts at work, rather than by occupational structures. Thus, I conclude that measuring workplace interactions may help to predict the next waves of the COVID-19 pandemic.
THE ROLE OF STATE-WIDE STAY-AT-HOME POLICIES ON CONFIRMED COVID-19 CASES IN T...hiij
In January 2020, the first confirmed case of the novel severe acute respiratory syndrome coronavirus 2 emerged in the United States of America. By March 2020, the USA had eclared a national emergency and implemented stay-at-home policies subject to the individual initiative of health authorities of each state. However, ambiguity in the literature exists about the extent to which temporal variation of stay-at-home implementation contributes to an effective stay-at-home order. To examine the role of the implementation of stay-at-home policy at the county level on outbreak progression, we compiled the case count data and dates of policy commencement for 1720 counties from the US Counties: Socio-Health Data database. Measures of central tendency and rate of change identified correlation between the change of confirmed case counts compared to time, quantified by comparing four successive time points of 5 days to the initial date of each county’s stay-at-home implementation. We then used a deterministic county-level SIR epidemiological model to predict post stay-at-home case counts based on pre-stay-at-home parameters and compared the model to actual post-stay-at-home case counts to identify the degree of error Mean Squared Error (MSE). Our analyses demonstrated the high error between time since stay-at-home implementation and change in actual case counts compared to predicted case counts, which suggests an interaction between policy and COVID-19 transmission. Our findings shine light on the confounding variables of stay-at-home policy at the county level and the promising outlook of stay-at-home policy in the USA.
CAMA: The global macroeconomic impacts of COVID-19: Seven scenarios (results)TatianaApostolovich
The research of Warwick McKibbin (Australian National University, The Brookings Institution, Centre of Excellence in Population Ageing Research) and Roshen Fernando (Australian National University, Centre of Excellence in Population Ageing Research (CEPAR))
This presentatin examines the impact of Covid-19 on infectious diseases such as HIV and TB. The writer explores the impact of Covid-19 on the global landscape, the global public health system and how social and physical distancing rules at the workplace are making it impossible for optimal production capacity.
After months of deliberation, the World Health Organization has
declared COVID-19 a pandemic. As it seemed clear for quite some time, the virus will likely spread to most (if not all) countries on the globe. However, actions can still limit its impact.
Social contacts are a key transmission channel of infectious diseases spread by the respiratory or close-contact route, such as COVID-19. There is no evidence, however, on the question of whether the nature and the organisation of work affect the spread of COVID-19 in different countries. I have developed a methodology to measure country-specific levels of occupational exposure to contagion driven by social contacts. I combined six indicators based on Occupation Information Network (O*NET) and the European Working Condition Survey (EWCS) data. I then applied them to 26 European countries, and found substantial cross-country differences in levels of exposure to contagion in comparable occupations. The resulting country-level measures of levels of exposure to contagion (excluding health professions) predict the growth in COVID-19 cases, and the number of deaths from COVID-19 in the early stage of pandemic (up to four weeks after the 100th case). The relationship between levels of occupational exposure to contagion and the spread of COVID-19 is particularly strong for workers aged 45-64. I found that 20-25% of the cross-country variance in numbers of COVID-19 cases and deaths can be attributed to cross-country differences in levels of occupational exposure to contagion in European countries. My findings are robust to controlling for the stringency of containment policies, such as lockdowns and school closures. They are also driven by country-specific patterns of social contacts at work, rather than by occupational structures. Thus, I conclude that measuring workplace interactions may help to predict the next waves of the COVID-19 pandemic.
THE ROLE OF STATE-WIDE STAY-AT-HOME POLICIES ON CONFIRMED COVID-19 CASES IN T...hiij
In January 2020, the first confirmed case of the novel severe acute respiratory syndrome coronavirus 2 emerged in the United States of America. By March 2020, the USA had eclared a national emergency and implemented stay-at-home policies subject to the individual initiative of health authorities of each state. However, ambiguity in the literature exists about the extent to which temporal variation of stay-at-home implementation contributes to an effective stay-at-home order. To examine the role of the implementation of stay-at-home policy at the county level on outbreak progression, we compiled the case count data and dates of policy commencement for 1720 counties from the US Counties: Socio-Health Data database. Measures of central tendency and rate of change identified correlation between the change of confirmed case counts compared to time, quantified by comparing four successive time points of 5 days to the initial date of each county’s stay-at-home implementation. We then used a deterministic county-level SIR epidemiological model to predict post stay-at-home case counts based on pre-stay-at-home parameters and compared the model to actual post-stay-at-home case counts to identify the degree of error Mean Squared Error (MSE). Our analyses demonstrated the high error between time since stay-at-home implementation and change in actual case counts compared to predicted case counts, which suggests an interaction between policy and COVID-19 transmission. Our findings shine light on the confounding variables of stay-at-home policy at the county level and the promising outlook of stay-at-home policy in the USA.
CAMA: The global macroeconomic impacts of COVID-19: Seven scenarios (results)TatianaApostolovich
The research of Warwick McKibbin (Australian National University, The Brookings Institution, Centre of Excellence in Population Ageing Research) and Roshen Fernando (Australian National University, Centre of Excellence in Population Ageing Research (CEPAR))
Draft Resolution of the Rada on Anti-crisis Economic Development PlanViktor Halasiuk, PhD
DRAFT RESOLUTION registered under No. 6346 of April 12, 2017
On the Change of the National Economic Policy to Ensure Protection of National Interests, Economic Growth, Poverty Reduction and Higher Standard of Living in Ukraine
On Friday 14 May 2021, the ESRI hosted the webinar 'Poverty, income inequality and living standards in Ireland.'
Dr. Barra Roantree presented key findings from the report of the same name, which was funded by The Community Foundation for Ireland.
Read the publication here: https://www.esri.ie/publications/poverty-income-inequality-and-living-standards-in-ireland-0
Watch a video of the webinar here: https://www.youtube.com/watch?v=pwqVlZpWHu8
Everything you need to know about the Corona virus transformation from stage 1 to killing stage and overall overview of Corona virus Average daily cases from all over the world you and global economic crisis
Draft Resolution of the Rada on Anti-crisis Economic Development PlanViktor Halasiuk, PhD
DRAFT RESOLUTION registered under No. 6346 of April 12, 2017
On the Change of the National Economic Policy to Ensure Protection of National Interests, Economic Growth, Poverty Reduction and Higher Standard of Living in Ukraine
On Friday 14 May 2021, the ESRI hosted the webinar 'Poverty, income inequality and living standards in Ireland.'
Dr. Barra Roantree presented key findings from the report of the same name, which was funded by The Community Foundation for Ireland.
Read the publication here: https://www.esri.ie/publications/poverty-income-inequality-and-living-standards-in-ireland-0
Watch a video of the webinar here: https://www.youtube.com/watch?v=pwqVlZpWHu8
Everything you need to know about the Corona virus transformation from stage 1 to killing stage and overall overview of Corona virus Average daily cases from all over the world you and global economic crisis
London & Partners Insight Summary Report #10Harry Mirpuri
To help us and our partners cut through the noise, we regularly signpost people to the best reports and latest data on how the pandemic is impacting our target markets and customers.
How useful do you find this content? Do you produce or receive similar? We'd love to hear your feedback email us at insights@londonandpartners.com
China intends to prohibit private media investment.satheeshkumar809
Beijing: In an effort to tighten control over all aspects of the media.
Chinese authorities have proposed banning private investment in news organizations.
Coronavirus effects heighten fears of recession in the world economy. Stock exchanges have had a difficult week around the world and, in Europe, the recession seems inevitable. The paralysis in China weighs on domestic growth because the supply chains of multinationals need components made in Chinese factories to guarantee their production. Consumption in western countries will be strongly affected. Tourism, air transport, leisure are already suffering the consequences.
The conditions required for the return of economic activity with the new coro...Fernando Alcoforado
This article aims to address three very important issues related to the new Coronavirus pandemic: the first concerns the conditions required for the resumption or reopening of economic activity; the second, concerns the chances of obtaining an effective vaccine to immunize the population of the virus, and the third, is related to the possibility or not of the pandemic becoming endemic. These last two issues are important because they condition the recovery of the economy. Therefore, this article seeks to answer the following questions: 1) Under what conditions should economic activities be resumed ?; 2) Is it possible to reopen the economy without a vaccine?; 3) Is it possible to obtain an effective vaccine to immunize the entire world population? 4) Will the new Coronavirus be endemic? To search for answers to these questions, some recent publications were analyzed, the details of which are presented in this article.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
China readies stimulus measures as local virus cases dwindle@reuters
1. China readies stimulus measures as local
virus cases dwindle ..
Andrew Galbraith, Luoyan Liu
REUTERS
SHANGHAI (Reuters) - China’s authorities plan
stronger steps to revive an economy hit by the
spread of coronavirus, as the nation on Saturday
reported no new locally transmitted infections for
the previous day.
A street blocked by barricades is seen in Wuhan in Hubei
province, the epicentre of China's coronavirus disease
(COVID-19) outbreak. The city is ending a two month long
lockdown by allowing cars to enter, though it still bars them
from exiting. March 27, 2020. REUTERS/Aly Song
The ruling Communist Party’s Politburo said on
Friday it would step up macroeconomic policy
adjustments and pursue more proactive fiscal
policy, state media reported. With the world’s
second-biggest economy expected to shrink for the
first time in four decades this quarter, China is set to
unleash hundreds of billions of dollars in stimulus.
The Politburo called for expanding the budget
deficit, issuing more local and national bonds,
guiding interest rates lower, delaying loan
repayments, reducing supply-chain bottlenecks and
boosting consumption.
2. “We expect government ministries to roll out more
tangible measures in the coming weeks as this
Politburo meeting gave them no choice but to do
more,” Goldman Sachs analysts said in a note.
The Politburo did not elaborate on plans for the
central government to issue special treasury bonds,
which would be the first such issuance since 2007.
Restrictions on foreigners entering the country went
into effect on Saturday, as China reported no new
locally transmitted infections and a small drop in
so-called imported cases.
Airlines have been ordered to sharply cut
international flights from Sunday.
Beijing has in recent days emphasized the risk
posed by imported virus cases after widespread
lockdowns within China helped to sharply reduce
domestic transmissions. The Politburo said it would
shift its focus to prevent more imported cases and a
rebound in locally transmitted infections.
“We must be extremely vigilant and cautious, and
we must prevent the post-epidemic relaxation from
coming too soon, leading to the loss of all our
achievements,” the Communist Party’s official
People’s Daily newspaper said in a front-page
editorial.
3. The authorities also reversed planned reopenings of
movie theaters, the state-owned China Securities
Journal reported, citing sources.
DEATH TOLL AT 3,295
China’s National Health Commission said on
Saturday that 54 new coronavirus cases were
reported on the mainland on Friday, all imported
cases. There were 55 new cases a day earlier, one of
which was transmitted locally.
The number of infections for mainland China stands
at 81,394, with the death toll rising by three to
3,295, the commission said.
Hubei province reported no new cases, and three
new deaths. The province of 60 million, where the
virus was first detected, has recorded 67,801
coronavirus cases and 3,177 deaths.
Shanghai reported the highest number of new cases,
with 17. An additional 11 cases were reported in
Guangdong, six in Fujian, five in Tianjin, four in
Zhejiang, three each in Beijing and Liaoning, two
each in Inner Mongolia and Jilin, and one in
Shandong.
Chinese President Xi Jinping told U.S. President
Donald Trump on Friday that China would support
U.S. efforts to fight the coronavirus.
4. The number of confirmed cases of coronavirus in
the United States rose by at least 16,000 on Friday
to nearly 102,000, the most of any country.
George Gao, the director-general of the Chinese
Center for Disease Control and Prevention, urged
people to wear masks to control the virus’s spread
overseas.
Gao told the journal Science in an interview
published late on Friday that the “big mistake in the
United States and Europe has been the failure to
wear masks, which “can prevent droplets that carry
the virus from escaping and infecting others.”
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