VaCoChain: Blockchain-based 5G-assisted UAV Vaccine distribution scheme for future pandemics

2021 ◽  
pp. 1-1
Author(s):  
Ashwin Verma ◽  
Pronaya Bhattacharya ◽  
Mohammad Zuhair ◽  
Sudeep Tanwar ◽  
Neeraj Kumar
Keyword(s):  
Distribution Scheme ◽  
Vaccine Distribution

scholarly journals Optimal Vaccination of a General Population Network via Genetic Algorithms

2017 ◽  
Author(s):  
Lloyd Sanders ◽  
Olivia Woolley-Meza
Keyword(s):  
Genetic Algorithms ◽  
Social Network ◽  
General Population ◽  
Online Social Network ◽  
Optimal Distribution ◽  
Distribution Scheme ◽  
Vaccine Distribution ◽  
Virus Spreading

Herein we extend the work from Patel et al. (1) to find the approximate, optimal distribution of vaccinations of a virus spreading on a network with the use of Genetic Algorithms (GAs). We situate our investigation in an online social network, a Facebook graph of ~4000 nodes. Within this framework we investigate the performance of an optimized vaccine distribution scheme against that of a well known heuristic scheme: the vaccination of highly ranked nodes. We include also a baseline scheme of vaccinating random nodes. We show the algorithm is superior to rank scheme in low vaccine coverages, and performs comparably for most other coverage values, lending support to the optimality of this heuristic measure.

Security key pre-distribution scheme for wireless sensor networks

2013 ◽  
Vol 33 (7) ◽  
pp. 1851-1853 ◽  
Author(s):  
Ji ZHANG ◽  
Xiaoni DU ◽  
Xu LI ◽  
Jipo LIN
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Distribution Scheme

scholarly journals Mapping the inequality of the global distribution of seasonal influenza vaccine

2021 ◽  
pp. 0308518X2199835
Author(s):  
Yen Ching Yau ◽  
Michael T Gastner
Keyword(s):  
Influenza Vaccine ◽  
Respiratory Diseases ◽  
Seasonal Influenza ◽  
Developed Countries ◽  
Essential Medicines ◽  
World Health ◽  
Equitable Access ◽  
Seasonal Influenza Vaccine ◽  
Choropleth Map ◽  
Vaccine Distribution

With an estimated annual worldwide death toll of between 290 000 and 650 000, seasonal influenza remains one of the deadliest respiratory diseases. Influenza vaccines provide moderate to high protection and have been on the World Health Organization’s Model List of Essential Medicines since 1979. Approximately 490 million doses of influenza vaccine are produced per year, but an investigation of geographic allocation reveals enormous disparities. Here, we present two maps that visualise the inequality of the distribution across 195 countries: a conventional choropleth map and a cartogram. In combination, these two maps highlight the widespread lack of coverage in Africa and many parts of Asia. As COVID-19 vaccines are now being distributed in developed countries, data for seasonal influenza vaccine distribution emphasises the need for policymakers to ensure equitable access to COVID-19 vaccines.

scholarly journals Key Distribution Scheme for Optical Fiber Channel Based on SNR Feature Measurement

Photonics ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 208
Author(s):  
Xiangqing Wang ◽  
Jie Zhang ◽  
Bo Wang ◽  
Kongni Zhu ◽  
Haokun Song ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Optical Networks ◽  
Signal To Noise Ratio ◽  
Key Distribution ◽  
Key Generation ◽  
Sensitive Data ◽  
Big Data Applications ◽  
Distribution Scheme ◽  
Fiber Channel ◽  
Physical Level

With the increase in the popularity of cloud computing and big data applications, the amount of sensitive data transmitted through optical networks has increased dramatically. Furthermore, optical transmission systems face various security risks at the physical level. We propose a novel key distribution scheme based on signal-to-noise ratio (SNR) measurements to extract the fingerprint of the fiber channel and improve the physical level of security. The SNR varies with time because the fiber channel is affected by many physical characteristics, such as dispersion, polarization, scattering, and amplifier noise. The extracted SNR of the optical fiber channel can be used as the basis of key generation. Alice and Bob can obtain channel characteristics by measuring the SNR of the optical fiber channel and generate the consistent key by quantization coding. The security and consistency of the key are guaranteed by the randomness and reciprocity of the channel. The simulation results show that the key generation rate (KGR) can reach 25 kbps, the key consistency rate (KCR) can reach 98% after key post-processing, and the error probability of Eve’s key is ~50%. In the proposed scheme, the equipment used is simple and compatible with existing optic fiber links.

scholarly journals Actionable lessons for the US COVID vaccine program

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Gary L. Freed
Keyword(s):  
Public Health ◽  
Local Health ◽  
National Strategy ◽  
Individual State ◽  
Health Departments ◽  
Local Health Departments ◽  
Public Health Infrastructure ◽  
Health Infrastructure ◽  
The Us ◽  
Vaccine Distribution

AbstractWhen attempting to provide lessons for other countries from the successful Israeli COVID-19 vaccine experience, it is important to distinguish between the modifiable and non-modifiable components identified in the article by Rosen, et al. Two specific modifiable components included in the Israeli program from which the US can learn are (a) a national (not individual state-based) strategy for vaccine distribution and administration and (b) a functioning public health infrastructure. As a federal government, the US maintains an often complex web of state and national authorities and responsibilities. The federal government assumed responsibility for the ordering, payment and procurement of COVID vaccine from manufacturers. In designing the subsequent steps in their COVID-19 vaccine distribution and administration plan, the Trump administration decided to rely on the states themselves to determine how best to implement guidance provided by the Centers for Disease Control and Prevention (CDC). This strategy resulted in 50 different plans and 50 different systems for the dissemination of vaccine doses, all at the level of each individual state. State health departments were neither financed, experienced nor uniformly possessed the expertise to develop and implement such plans. A national strategy for the distribution, and the workforce for the provision, of vaccine beyond the state level, similar to that which occurred in Israel, would have provided for greater efficiency and coordination across the country. The US public health infrastructure was ill-prepared and ill-staffed to take on the responsibility to deliver > 450 million doses of vaccine in an expeditious fashion, even if supply of vaccine was available. The failure to adequately invest in public health has been ubiquitous across the nation at all levels of government. Since the 2008 recession, state and local health departments have lost > 38,000 jobs and spending for state public health departments has dropped by 16% per capita and spending for local health departments has fallen by 18%. Hopefully, COVID-19 will be a wakeup call to the US with regard to the need for both a national strategy to address public health emergencies and the well-maintained infrastructure to make it happen.

scholarly journals In Silico Screening of Natural Products Isolated from Mexican Herbal Medicines against COVID-19

Biomolecules ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 216
Author(s):  
Nadia A. Rivero-Segura ◽  
Juan C. Gomez-Verjan
Keyword(s):  
Natural Products ◽  
In Silico ◽  
Herbal Medicines ◽  
In Silico Screening ◽  
Docking Analysis ◽  
Physiologically Based Pharmacokinetic ◽  
Important Challenge ◽  
Emodin Anthrone ◽  
Therapeutic Tools ◽  
Vaccine Distribution

The COVID-19 pandemic has already taken the lives of more than 2 million people worldwide, causing several political and socio-economic disturbances in our daily life. At the time of publication, there are non-effective pharmacological treatments, and vaccine distribution represents an important challenge for all countries. In this sense, research for novel molecules becomes essential to develop treatments against the SARS-CoV-2 virus. In this context, Mexican natural products have proven to be quite useful for drug development; therefore, in the present study, we perform an in silico screening of 100 compounds isolated from the most commonly used Mexican plants, against the SARS-CoV-2 virus. As results, we identify ten compounds that meet leadlikeness criteria (emodin anthrone, kaempferol, quercetin, aesculin, cichoriin, luteolin, matricin, riolozatrione, monocaffeoyl tartaric acid, aucubin). According to the docking analysis, only three compounds target the key proteins of SARS-CoV-2 (quercetin, riolozatrione and cichoriin), but only one appears to be safe (cichoriin). ADME (absorption, distribution, metabolism and excretion) properties and the physiologically based pharmacokinetic (PBPK) model show that cichoriin reaches higher lung levels (100 mg/Kg, IV); therefore, it may be considered in developing therapeutic tools.

Sign in / Sign up

Export Citation Format

Share Document