Coronavirus Impact Assessment And Mitigation Strategies On Cruise Industry Co...SlideTeam
Showcase the impact of covid19 on consumer perception and risk mitigation with the help of our Coronavirus Impact Assessment And Mitigation Strategies On Cruise Industry Complete Deck PowerPoint Presentation. In the coronaviridae PPT presentation, we have given an overview of the global cruise industry and tourism to showcase the significant impact of covid19 on GDP growth forecast. The presentation shows a halt in the working of cruise operators, port congestion in marine shipping, and negative impacts from container shipping to oil tankers. The nidovirales PowerPoint layout also highlights the risks caused in the industry like disruption due to social distancing, plummeting employee productivity, impact and disruption on the supply chains, economic instability, civil unrest, and business operations severity. A well-designed risk management plan has been shared in the RNA virus PPT slides conveying outbreak management. Different policies were designed by the firms including sanitation, medical facilities, screening, an inspection of health, and crewmember training. Combined coronavirus incident reports and risk maturity models have also been shared in the sars-cov-2 PPT templates. https://bit.ly/3i5TBCY
Natural Resources - Canada - What's next - April 2022.pptxpaul young cpa, cga
Blog – How Canada can develop its Natural Resources in Sustainable Way
In 2015 the CPC was kicked out of office for the progressive movement under Justin Trudeau. Trudeau inherited an economy growing at 2.3%. Trudeau decided instead of focusing on getting goods out of the ground in sustainable way that he would focus big government and pushing his climate agenda.
Canada could have been a market leader in mining, especially supporting the circular and green economy, but Trudeau chose to focus on growing the size of government
Measuring the effect of social distancing On CoronavirusJames Orr
This was an attempt to see if I could measure the effect of social distancing. While the method is immature, it definitely shows that movement into regions by infectious persons is defeating "social distancing" in most areas. Only New York and Washington show progress. Texas "social distancing" appears overwhelmed by movement of new infectious persons into Texas
Presentation delivered by CDB President, Dr. William Warren Smith at the 2019 Annual News Conference on February 7, 2019 at CDB's Headquarters in Barbados.
Similar to COVID-19 in the Caribbean: May 7 Report on Daily New Cases (11)
Presentation delivered by CDB's President (Ag.), Mr. Isaac Solomon, President (Ag.) at the 2024 Annual News Conference on February 20, 2024 at CDB's Headquarters in Barbados.
Presentation delivered by CDB's Director of Economics, Mr. Ian Durant at the 2024 Annual News Conference on February 20, 2024 at CDB's Headquarters in Barbados.
Presentation delivered by CDB's Director of Projects, Mrs. Therese Turner-Jones at the 2024 Annual News Conference on February 20, 2024 at CDB's Headquarters in Barbados.
Keynote: From Structural Vulnerability to Resilient Prosperity in Small Islan...Caribbean Development Bank
Keynote address delivered by Dr Emily Wilkinson, Senior Research Fellow and Director, Resilient and Sustainable Islands Initiative, ODI at UK Caribbean Infrastructure Conference in November 2023.
Despite the well-recognised potential for, and steps to promote, energy efficiency progress in deployment has been slow.
Scaling up an integrated utility service model presents an opportunity for the utility to become a player within the emerging energy service paradigm in the region.
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.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
3. Objectives of Publication
The objectives of this publication are:
• to provide statistics and display trends regarding the spread of the Novel
Coronavirus disease in Borrowing Member Countries of the Caribbean
Development Bank.
• to keep the general public informed regarding the evolution of relevant data
which have the potential to impact social and economic development in the
Region.
4. Definitions
Abbreviations:
CDB - Caribbean Development Bank
BMC - Borrowing Member Country
COVID-19: Coronavirus disease 2019 as defined by the World Health Organisation. In
this publication COVID-19 is used as a proxy for all infections with the severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2).
Data Sources:
• Johns Hopkins University via Github.com
• Caribbean Disaster Emergency Management Agency (CDEMA) and Pan American
Health Organisation (PAHO) COVID-19 Situation Reports
• Worldometers website https://www.worldometers.info/coronavirus
• Some data points might vary from national data due to delayed reporting
5. Table of Contents
Confirmed aggregated COVID-19 cases in the Caribbean Region
Confirmed COVID-19 cases in CDB’s BMCs
Confirmed COVID-19 cases in Other Selected Caribbean Countries
Confirmed COVID-19 cases in Other CDB Member Countries and the United
States of America
15. Dynamics of New Cases
0
20
40
60
80
100
120
140
160
180
200
t + 1 t + 9 t + 17 t + 25 t + 33 t + 41 t + 49 t + 57 t + 65 t + 73
Jamaica
Trinidad and Tobago
Barbados
Haiti
The Bahamas
Guyana
Cayman Islands
Antigua and Barbuda
Dominica
Saint Lucia
t = Day of first case in respective country
487
16. Dynamics of New Cases
t = Day of first case in respective country
0
5
10
15
20
25
t + 1 t + 9 t + 17 t + 25 t + 33 t + 41 t + 49 t + 57 t + 65 t + 73
Belize
Grenada
St. Kitts and Nevis
St. Vincent and the
Grenadines
Montserrat
Suriname
Turks and Caicos
Islands
Virgin Islands
Anguilla
17. Dynamics of New Cases per 100,000 Population
t = Day of first case in respective country
0
20
40
60
80
100
120
t + 1 t + 8 t + 15 t + 22 t + 29 t + 36 t + 43
Montserrat
Cayman Islands
Barbados
Antigua and Barbuda
Dominica
St. Kitts and Nevis
Turks and Caicos Islands
Grenada
Anguilla
192
18. Dynamics of New Cases per 100,000 Population
t = Day of first case in respective country
0
5
10
15
20
25
t + 1 t + 9 t + 17 t + 25 t + 33 t + 41
The Bahamas
St. Vincent and the
Grenadines
Trinidad and Tobago
Saint Lucia
Guyana
Virgin Islands
Jamaica
Suriname
Belize
Haiti
19. Total Confirmed Cases, Weekly Replication
Factors in BMCs, 2020
The table to the left displays total confirmed cases as of a specific date and the table to the right displays the replication factor of total confirmed
cases over successive seven-day periods. Generally speaking seven-day replication factors are displaying a downward trend.
total cases as of … seven-day replication factor of total cases
7-May 30-Apr 23-Apr 16-Apr 9-Apr 2-Apr 7-May 30-Apr 23-Apr 16-Apr 9-Apr
Anguilla 3 3 3 3 3 3 1.00 1.00 1.00 1.00 1.00
Antigua and Barbuda 23 23 23 22 18 8 1.00 1.00 1.05 1.22 2.25
The Bahamas 85 78 69 50 38 21 1.09 1.13 1.38 1.32 1.81
Barbados 83 76 71 70 61 41 1.09 1.07 1.01 1.15 1.49
Belize 18 18 18 18 9 3 1.00 1.00 1.00 2.00 3.00
Cayman Islands 70 70 63 57 42 25 1.00 1.11 1.11 1.36 1.68
Dominica 16 16 16 16 15 12 1.00 1.00 1.00 1.07 1.25
Grenada 20 20 15 14 12 10 1.00 1.33 1.07 1.17 1.20
Guyana 106 78 66 51 33 15 1.36 1.18 1.29 1.55 2.20
Haiti 116 81 72 41 30 16 1.43 1.13 1.76 1.37 1.88
Jamaica 589 407 242 128 48 32 1.45 1.68 1.89 2.67 1.50
Montserrat 10 10 10 10 8 4 1.00 1.00 1.00 1.25 2.00
Saint Lucia 15 15 13 13 12 11 1.00 1.15 1.00 1.08 1.09
St. Kitts and Nevis 15 15 15 14 11 9 1.00 1.00 1.07 1.27 1.22
St. Vincent and the Grenadines 15 15 12 11 11 1 1.00 1.25 1.09 1.00 11.00
Suriname 9 9 9 9 9 9 1.00 1.00 1.00 1.00 1.00
Trinidad and Tobago 107 107 106 105 100 85 1.00 1.01 1.01 1.05 1.18
Turks and Caicos Islands 12 12 11 11 8 5 1.00 1.09 1.00 1.38 1.60
Virgin Islands 6 6 5 3 3 3 1.00 1.20 1.67 1.00 1.00
BMCs total 1318 1059 839 646 471 313 1.24 1.26 1.30 1.37 1.50
26. Confirmed Cases in Other CDB Member
Countries and USA, 2020
0
2,000
4,000
6,000
8,000
10,000
China
0
2,000
4,000
6,000
8,000
Brazil
0
1,000
2,000
3,000
4,000
Canada
0
100
200
300
400
500
Colombia
15,136