Modeling the coupling between a COVID-19-like epidemic and the economy

2021 ◽  
pp. 2150150
Author(s):  
Matthieu Aucouturier ◽  
Hans J. Herrmann
Keyword(s):  
Medical Treatment ◽  
Compartmental Model ◽  
Budget Constraint ◽  
Final Number ◽  
Starting Point ◽  
The Cost

We consider a compartmental model adapted to the case of COVID-19 that takes into account the detection of ill individuals and the cost of medical treatment and investigate the effect of a budget constraint. Our analysis shows how the collapse of the budget can drastically change the outcome of an epidemics. We see how with a good testing policy the epidemic might be controllable. By introducing a lockdown period, we show that the final number of deaths can be reduced substantially and observe that a budget collapse introduces rather extreme effects. We find that there exists a well-defined optimal starting point for a lockdown. We also looked at the consequences of a loss of immunity and found that then a budget collapse can occur for smaller costs of medical treatment.

Economic Evaluation of a Ninngen-Dokku (Medical Checkup)

1993 ◽  
Vol 32 (03) ◽  
pp. 199-202
Author(s):  
T. Shimizu ◽  
T. Suzuki
Keyword(s):  
Economic Evaluation ◽  
Economic Analysis ◽  
Medical Treatment ◽  
Medical Checkup ◽  
Dry Dock ◽  
The Cost ◽  
Mass Health ◽  
Medical Judgment

Abstract:An economic evaluation of a medical checkup center (Ninngendokku, “human dry dock”) was conducted from two perspectives: the cost for cancer checkup, and the cost for medical treatment after a diagnosis was obtained. We studied the cost of diagnosing cancer, compared with the cost required when cancer of an individual organ was detected through mass health testing, and studied the economics of a Ninngendokku according to Kawai’s method of medical judgment. Assuming that the cost of death is more than the cost of saving the lives of persons who undergo the Ninngen-dokku, the Ninngen-dokku will be affordable. In the group undergoing the Ninngen-dokku compared with the group which did not, the estimated cost of medical treatment was reduced. The Ninngendokku carries advantages that cannot be quantified in financial terms; therefore, a multi-layered economic analysis of the Ninngen-dokku was required.

An International Campaign for Agricultural and Livestock Genomics (CALG)

2002 ◽  
Vol 06 (24) ◽  
pp. 958-965
Author(s):  
Jun Yu ◽  
Jian Wang ◽  
Huanming Yang
Keyword(s):  
Large Scale ◽  
Cost Effective ◽  
Model Organisms ◽  
Environmental Biology ◽  
Cdna Sequences ◽  
Governmental Agencies ◽  
Technology Innovations ◽  
A Genome ◽  
Starting Point ◽  
The Cost

A coordinated international effort to sequence agricultural and livestock genomes has come to its time. While human genome and genomes of many model organisms (related to human health and basic biological interests) have been sequenced or plugged in the sequencing pipelines, agronomically important crop and livestock genomes have not been given high enough priority. Although we are facing many challenges in policy-making, grant funding, regional task emphasis, research community consensus and technology innovations, many initiatives are being announced and formulated based on the cost-effective and large-scale sequencing procedure, known as whole genome shotgun (WGS) sequencing that produces draft sequences covering a genome from 95 percent to 99 percent. Identified genes from such draft sequences, coupled with other resources, such as molecular markers, large-insert clones and cDNA sequences, provide ample information and tools to further our knowledge in agricultural and environmental biology in the genome era that just comes to its accelerated period. If the campaign succeeds, molecular biologists, geneticists and field biologists from all countries, rich or poor, would be brought to the same starting point and expect another astronomical increase of basic genomic information, ready to convert effectively into knowledge that will ultimately change our lives and environment into a greater and better future. We call upon national and international governmental agencies and organizations as well as research foundations to support this unprecedented movement.

Preliminary design of precast, segmental box-girder bridges using optimization

1979 ◽  
Vol 6 (1) ◽  
pp. 120-128
Author(s):  
Craig J. Miller ◽  
Juarez Accioly
Keyword(s):  
Minimum Cost ◽  
Preliminary Design ◽  
Box Girder Bridges ◽  
Cross Sectional ◽  
Box Girder ◽  
Prestressing Steel ◽  
Girder Bridges ◽  
Starting Point ◽  
Final Design ◽  
The Cost

Precast, prestressed segmental box-girder bridges are now accepted as an economical alternative for spans over 150 ft (46 m). Decisions about cross-sectional dimensions made during preliminary design can have a substantial influence on the final cost of the bridge. To help the designer obtain an economical starting point for a final design, a program was written to determine section dimensions and midspan and pier prestressing steel areas to give minimum cost. Since a preliminary design is obtained, the analysis techniques and design criteria have been simplified to reduce computation. The design produced by the program will satisfy AASHTO specification requirements and the recommendations of the PCI Bridge Committee. The optimization algorithm used is the generalized reduced gradient technique. To demonstrate the program capabilities, three example problems are discussed. The results indicate that optimum span-depth ratios are approximately 24 for the cost ratios used. The cost of the optimum design does not seem to be too sensitive to the ratio of concrete cost to prestressing steel cost.

scholarly journals A Tripartite Analysis of Online Healthcare Platforms: Evidence from Spring Rain Doctor in China

2020 ◽  
Author(s):  
Xia Cao ◽  
Lanting Zhang ◽  
Dan Lv ◽  
Weijia Li ◽  
Zeyu Xing
Keyword(s):  
Medical Treatment ◽  
Evolutionary Game ◽  
Healthcare Services ◽  
Cross Infection ◽  
Time Cost ◽  
Information Protection ◽  
Behavioral Strategies ◽  
New Form ◽  
Evaluation Mechanism ◽  
The Cost

Abstract Background Online healthcare platform (OHP) is a new form of medical treatment, which solves the problems of unbalanced distribution of medical resources and expensive medical treatment in China. Especially under the epidemic of COVID-19, OHP has greatly reduced the medical pressure of the hospital and the risk of cross infection. Methods This paper uses evolutionary game theory to analyze behavioral strategies and their dynamic evolution in the promotion of OHP, and then numerical simulations are carried out with the help of program compilation. Results The results demonstrate that: (1) both the stricter qualification inspection of doctors and the more investment in information protection promote the participation of doctors and the use of patients; (2) with a higher initial probability of doctors joining, the possibility for patients in using OHP and platforms to provide standardized online healthcare services becomes higher; (3) if the initial probability of patients using is higher, the possibility for doctors to participate OHP and platforms to provide standardized online healthcare services raises; (4) the trend of doctors joining the platform is affected by factors, such as registration cost, time cost, reputation loss and so on; (5) the tendency of patients in using online healthcare is mainly decided by the cost. Conclusions Based on theoretical analysis, this article takes the Spring Rain Doctor OHP as an example to verify the game results. Therefore, OHP should attach importance to the inspection of doctors and the protection of privacy information, and strengthen the publicity in remote places. At the same time OHP can promote the active participation of grassroots doctors, and set a reasonable evaluation mechanism, so as to popularize online medical treatment among patients further.

scholarly journals Militarization, slow violence, and the emerging threat of condemnation in Hawai‘i

2021 ◽  
Vol 2 (1) ◽  
pp. 3.1-3.12
Author(s):  
N. Mahina Tuteur
Keyword(s):  
Active Role ◽  
Kanaka Maoli ◽  
Public Purpose ◽  
Us Military ◽  
Military Presence ◽  
Starting Point ◽  
The Us ◽  
The Cost ◽  
The Military ◽  
Fair Market Value

This article examines the environmental impacts of the US military presence in Hawaii, looking specifically at the federal government’s power to condemn land for a ‘public purpose’ under the US Constitution. In 2018, the Hawaii Supreme Court ruled that the State of Hawaii failed its duty to properly manage 23,000 acres of lands leased to the military at Pōhakuloa and must take an active role in preserving trust property. With the expiration of this lease (and several others) approaching in 2029, controversy is stirring as to whether the military will simply condemn these lands if the cost of clean-up is greater than the land’s fair-market value at the expiration of the lease. In other words, as long as it remains cheaper for the military to pollute and condemn than it is for it to restore, what options do we have for legal and political recourse? Considering grassroots movements’ strategic use of media and legal action through an environmental justice lens, this article provides a starting point to consider avenues for ensuring proper clean-up of these lands, and ultimately, negotiating for their return to Kānaka Maoli.

scholarly journals The Social Cost of Major Depression. A Systematic Review

2019 ◽  
Vol 11 (1) ◽  
pp. 73 ◽  
Author(s):  
Silvia Coretti ◽  
Filippo Rumi ◽  
Americo Cicchetti
Keyword(s):  
Major Depression ◽  
Burden Of Disease ◽  
Social Cost ◽  
Public Health Problem ◽  
Indirect Costs ◽  
Total Direct Cost ◽  
Economic Burden Of Disease ◽  
Starting Point ◽  
The Social ◽  
The Cost

Major depression (MD) is a major cause of disability and a significant public health problem due to strong physical and mental impairment, possible complications for patients (including suicides), serious social and working problems to the patient and his/her family. We provide an overview of the social cost of Major depression worldwide. We conducted a systematic literature review. Two search engines were queried. Screening of records and summary of evidence was performed by two researchers blindly. The review was conducted in accordance with the standards of the PRISMA guidelines. Twenty studies met the inclusion criteria. Despite the heterogeneity in terms of population, setting and estimation techniques, the studies showed that the largest share of the burden of disease is represented by indirect costs. Among direct healthcare costs, inpatient care represents the most significant item, followed by outpatient care. The average total direct cost of depression ranges between €508 and €24 069, depending on the jurisdiction where the analysis was run and the range of cost items included. Indirect costs range between €1963 and €27 364. Evidence on the cost of MD in some countries is currently lacking. A deeper understanding of the drivers of the economic burden of disease is a crucial starting point for studies concerned with the cost-effectiveness of new treatment strategies.

Apprenticeship Indentures and Apprentices in Medieval England, 1250–1500

2022 ◽  
Author(s):  
◽  
Rhiannon E. Sandy
Keyword(s):  
Social Economic ◽  
Legal Aspects ◽  
Medieval England ◽  
Cheap Labour ◽  
Fictive Kinship ◽  
Starting Point ◽  
Original Survey ◽  
The Cost ◽  
Official Records

This thesis uses apprenticeship indentures to offer a novel insight into guilds and apprenticeship in medieval England. Indentures offer a unique view of idealised master-apprentice relationships, which are otherwise only visible in official records. A collection of 82 surviving indentures forms a starting point for exploring social, economic, and legal aspects of apprenticeship in medieval England, both within and outside the guild system. Chapter 1 outlines the content of indentures and provides a guide to their general form. Indentures developed gradually in response to social, economic and legal factors; these are explored in subsequent chapters. Chapter 2 discusses the enforceability and enforcement of legislation pertaining to apprenticeship, as well as exploring the legal complexities of indentures as binding legal agreements made by minors. Chapter 3 considers apprenticeship in three ways in the context of the guild system: as a means of exploitation, as a means of exclusion, and as a means of providing technical training. No single model prevails, but the influence of each depends on geographical, economic, and temporal factors. Subsequent chapters provide an overview of the reality of apprenticeship. Chapter 4 discusses the use of behavioural clauses in indentures, which controlled apprentices’ behaviour with the primary aim of protecting masters’ reputations. Chapter 5 explores apprentices’ expectations of the apprenticeship, including provision of training. Chapter 6 presents novel estimates, based on surviving records, of the cost of maintaining an apprentice, concluding that they were not ‘cheap’ labour. Historians have not previously considered this cost. Chapter 7 uses testamentary evidence to examine close master-apprentice relationships, highlighting the importance of fictive kinship. Civic enfranchisement and its relative importance is also discussed. Overall, this thesis provides an original survey of apprenticeship in medieval England, based mainly on evidence from a previously neglected document type.

scholarly journals Quasi-static ensemble variational data assimilation: a theoretical and numerical study with the iterative ensemble Kalman smoother

2018 ◽  
Vol 25 (2) ◽  
pp. 315-334 ◽  
Author(s):  
Anthony Fillion ◽  
Marc Bocquet ◽  
Serge Gratton
Keyword(s):  
Data Assimilation ◽  
Cost Function ◽  
Global Minimum ◽  
Numerical Study ◽  
Variational Data Assimilation ◽  
Kalman Smoother ◽  
Local Extrema ◽  
Starting Point ◽  
The Cost ◽  
Temporal Extent

Abstract. The analysis in nonlinear variational data assimilation is the solution of a non-quadratic minimization. Thus, the analysis efficiency relies on its ability to locate a global minimum of the cost function. If this minimization uses a Gauss–Newton (GN) method, it is critical for the starting point to be in the attraction basin of a global minimum. Otherwise the method may converge to a local extremum, which degrades the analysis. With chaotic models, the number of local extrema often increases with the temporal extent of the data assimilation window, making the former condition harder to satisfy. This is unfortunate because the assimilation performance also increases with this temporal extent. However, a quasi-static (QS) minimization may overcome these local extrema. It accomplishes this by gradually injecting the observations in the cost function. This method was introduced by Pires et al. (1996) in a 4D-Var context. We generalize this approach to four-dimensional strong-constraint nonlinear ensemble variational (EnVar) methods, which are based on both a nonlinear variational analysis and the propagation of dynamical error statistics via an ensemble. This forces one to consider the cost function minimizations in the broader context of cycled data assimilation algorithms. We adapt this QS approach to the iterative ensemble Kalman smoother (IEnKS), an exemplar of nonlinear deterministic four-dimensional EnVar methods. Using low-order models, we quantify the positive impact of the QS approach on the IEnKS, especially for long data assimilation windows. We also examine the computational cost of QS implementations and suggest cheaper algorithms.

ERP in clouds or still below

2014 ◽  
Vol 16 (1) ◽  
pp. 62-76 ◽  
Author(s):  
Igor Grubisic
Keyword(s):  
Decision Support ◽  
Data Privacy ◽  
Significant Risk ◽  
High Tech ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Starting Point ◽  
Readiness To Adopt ◽  
High Level ◽  
The Cost

Purpose – The purpose of this paper is to investigate the market readiness to adopt the Cloud as the future ERP platform, by using the analytic hierarchy process (AHP) decision support methodology. Design/methodology/approach – Interviewing is conducted on the convenient sample, of enterprises from various industries. The interview is conducted through expert telephone interview and self-administered questionnaire. Results are then used as a basis for forming the weight factors necessary for the AHP decision model. Data are analyzed and synthesized using AHP and Expert Choice. Findings – Results demonstrate a huge interest for TCO reduction, but also a concern for data privacy and availability. Large enterprises want their data on local servers, while smaller companies tend to act as “first adopters”, mainly because of the cost benefits that Cloud offers. Finally, vendors see the hybrid solutions as the most suitable approach for the overall market, at least while current Cloud obstacles exist. Research limitations/implications – This research does not aim to answer the question what is the best solution for a particular industry. Instead, it assumes the general approach, which answers the question what would in general be the adequate solution for the SME and how much are SMEs ready to adopt the ERP in the Cloud. A further research is necessary to validate these results in practice. That research should be industry specific, i.e. narrowed to one industry only. Then, it would be possible to answer the question what is the best solution for high-tech SMEs. Practical implications – This paper summarizes Cloud pros and cons useful for decision makers to establish a starting point for IT reorganization. Additionally, AHP results provide some indications of the market's perception regarding Cloud and ERP, while vendors' statements about ERP-Cloud solutions provide an interesting glimpse of the ERP market in the next few years. Originality/value – Market demands constant flexibility and cost effectiveness, forcing companies to adapt faster than ever. Therefore, there is a significant risk for first adopters and their business if they adopt an inadequate solution. This paper offers a high-level overview of the SME's market understanding and willingness to adopt ERP in the Cloud idea, and it demonstrates how the AHP decision support methodology can be used to assess the readiness of enterprises to adopt the Cloud-ERP solution.

The 11–20 Money Request Game: A Level-k Reasoning Study

2012 ◽  
Vol 102 (7) ◽  
pp. 3561-3573 ◽  
Author(s):  
Ayala Arad ◽  
Ariel Rubinstein
Keyword(s):  
The Other ◽  
Best Response ◽  
Starting Point ◽  
Player Game ◽  
Almost All ◽  
The Cost ◽  
Reasoning Study

We study experimentally a new two-player game: each player requests an amount between 11 and 20 shekels. He receives the requested amount and if he requests exactly one shekel less than the other player, he receives an additional 20 shekels. Level-k reasoning is appealing due to the natural starting point (requesting 20) and the straightforward best-response operation. Nevertheless, almost all subjects exhibit at most three levels of reasoning. Two variants of the game demonstrate that the depth of reasoning is not increased by enhancing the attractiveness of the level-0 strategy or by reducing the cost of undercutting the other player.

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