Готові списки джерел за темами / COVID-19 applications

Добірка наукової літератури з теми "COVID-19 applications"

Автор: Grafiati
Опубліковано: 19 червня 2021
Оновлено: 18 лютого 2022

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  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
  6. Звіти організацій

Статті в журналах з теми "COVID-19 applications":

1

Akgül, Ali, Nauman Ahmed, Ali Raza, Zafar Iqbal, Muhammad Rafiq, Dumitru Baleanu, and Muhammad Aziz-ur Rehman. "New applications related to Covid-19." Results in Physics 20 (January 2021): 103663. http://dx.doi.org/10.1016/j.rinp.2020.103663.

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2

AYGENCEL, Gülbin, and Yusuf Kemal KEMALOĞLU. "Tracheostomy Applications in Critically-Ill COVID-19 Patients." Kulak Burun Boğaz ve Baş Boyun Cerrahisi Dergisi 28, no. 2 (2020): 84–89. http://dx.doi.org/10.24179/kbbbbc.2020-76492.

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3

Gurantz, Oded, and Christopher Wielga. "How Have FAFSA Submissions Differed During COVID-19?" Educational Researcher 50, no. 4 (February 9, 2021): 256–60. http://dx.doi.org/10.3102/0013189x21992059.

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We examine changes in California’s FAFSA (Free Application for Federal Student Aid) applications during the COVID-19 crisis. There was little change in applications for high school graduates due to an early deadline for state aid. After the deadline—from early March to mid-August—FAFSA applications of potential college freshmen declined 14%, relative to prior years. Although there were initial declines in applications among more experienced undergraduates and graduate students, these quickly rebounded and were 8% higher relative to prior years. FAFSA applications increased more in counties that had larger increases in unemployment insurance claims but declined more in zip codes that were lower income or were more heavily Black and Hispanic.
4

Javaid, Mohd, Abid Haleem, Abhishek Vaish, Raju Vaishya, and Karthikeyan P. Iyengar. "Robotics Applications in COVID-19: A Review." Journal of Industrial Integration and Management 05, no. 04 (November 19, 2020): 441–51. http://dx.doi.org/10.1142/s2424862220300033.

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The COVID-19 outbreak has resulted in the manufacturing and service sectors being badly hit globally. Since there are no vaccines or any proven medical treatment available, there is an urgent need to take necessary steps to prevent the spread of this virus. As the virus spreads with human-to-human interaction, lockdown has been declared in many countries, and the public is advised to observe social distancing strictly. Robots can undertake human-like activities and can be gainfully programmed to replace some of the human interactions. Through this paper, we identify and propose the introduction of robots to take up this challenge in the fight against the COVID-19 pandemic. We did a comprehensive review of the literature to identify robots’ possible applications in the management of epidemics and pandemics of this nature. We have reviewed the available literature through the search engines of PubMed, SCOPUS, Google Scholar, and Research Gate. A comprehensive review of the literature identified different types of robots being used in the medical field. We could find several vital applications of robots in the management of the COVID-19 pandemic. No doubt technology comes with a cost. In this paper, we identified how different types of robots are used gainfully to deliver medicine, food, and other essential items to COVID-19 patients who are under quarantine. Therefore, there is extensive scope for customising robots to undertake hazardous and repetitive jobs with precision and reliability.
5

Javaid, Mohd, Abid Haleem, Ravi Pratap Singh, Mir Irfan Ul Haq, Ankush Raina, and Rajiv Suman. "Industry 5.0: Potential Applications in COVID-19." Journal of Industrial Integration and Management 05, no. 04 (November 19, 2020): 507–30. http://dx.doi.org/10.1142/s2424862220500220.

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Industry 5.0, the fifth industrial revolution, consists of smart digital information and manufacturing technologies. This industrial revolution generates effective processes and makes rapid improvement in industries and healthcare. Solutions to challenges posed by COVID-19 pandemic can be identified with the deployment of Industry 5.0-based technologies. It helps to provide personalized therapy and treatment processes to the COVID-19 patients if a detailed patient’s information is available. The aim of Industry 5.0 technologies is to create a smart healthcare environment with real-time capabilities. During the COVID-19 pandemic, these technologies can provide a remote monitoring system in healthcare. This paper identifies and studies major technologies of Industry 5.0 helpful for the COVID-19 pandemic. The supportive features of Industry 5.0 for the COVID-19 pandemic are discussed diagrammatically. Finally, we identified and studied significant challenges faced in the context of Industry 5.0 technologies for the COVID-19 pandemic. The literature revealed that this technological innovation allows a high personalization level to fulfill personal specific demands of the patient and doctors. These technologies play a significant role in making the life of doctors better. Further, doctors can use this technology to focus on critically infected patients and provide proper appropriate information regarding their better treatment. Moreover, Industry 5.0 technologies can help doctors and medical students for required medical training during this COVID-19 outbreak.
6

Javaid, Mohd, IbrahimHaleem Khan, Raju Vaishya, RaviPratap Singh, and Abhishek Vaish. "Data analytics applications for COVID-19 pandemic." Current Medicine Research and Practice 11, no. 2 (2021): 105. http://dx.doi.org/10.4103/cmrp.cmrp_82_20.

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7

Kassim, Normalini Md, T. Ramayah, Wan Normila Mohamad, and Muhammad Salman Shabbir. "Battling COVID-19." International Journal of Enterprise Information Systems 17, no. 2 (April 2021): 71–91. http://dx.doi.org/10.4018/ijeis.2021040104.

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The research purpose is to identify which security factors that influence customer trust towards the intention to continue using Internet banking in Malaysia. The primary participants are internet banking users in Malaysia. A total of 227 respondents completed the questionnaires as requested. The results show that direct relationship of perceived privacy, perceived confidentiality, perceived data integrity, effectiveness of biometrics are significant factors influencing customer trust towards intention to continue using internet banking. This result shows the significant mediating effect between perceived privacy, perceived confidentiality, perceived data integrity, effectiveness of biometrics with customer trust. Trust is a significant effect towards intention to continue using internet banking. Security factors and effectiveness of biometrics have strong relationship towards increasing customer trust using internet banking. This is a strong signal to internet banking providers to enhance their security level towards multi factor authentication using biometrics solution.
8

Kenigsberg, Alexander P., Roger K. Khouri, Amy Kuprasertkul, Daniel Wong, Vishnu Ganesan, and Gary E. Lemack. "Urology Residency Applications in the COVID-19 Era." Urology 143 (September 2020): 55–61. http://dx.doi.org/10.1016/j.urology.2020.05.072.

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9

Huang, Lisa. "Applications as Tools Amid the COVID-19 Pandemic." Journal of Hospital Librarianship 20, no. 4 (October 1, 2020): 376–90. http://dx.doi.org/10.1080/15323269.2020.1823304.

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10

Alexopoulos, Arion R., Jake G. Hudson, and Oluwatomisin Otenigbagbe. "The Use of Digital Applications and COVID-19." Community Mental Health Journal 56, no. 7 (July 30, 2020): 1202–3. http://dx.doi.org/10.1007/s10597-020-00689-2.

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Статті в журналах Дисертації

Дисертації з теми "COVID-19 applications":

1

Dabor, Abdalrhman. "Big Data Models and Artificial Intelligence in COVID-19 : A Systematic Literature Review." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105036.

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The study aims to identify the role of artificial intelligence and big data that can help us to confront the COVID-19. The study adopted the literature review methodology by reading and analyzing academic studies. This study was divided into two parts: a theoretical part that deals with the basic concepts of artificial intelligence and big data, and an analytical section that deals with reviewing and analyzing artificial intelligence and big data applications to confront COVID-19, including Contact Tracing Apps, then find the weaknesses and develop a recommendation list. The paper concludes that artificial intelligence and big data applications and apps could help to confrontCOVID-19 to some extent. However, artificial intelligence and big data are in the first steps. Moreover, they have not yet had a significant impact on controlling the COVID-19 since some issues and challenges hamper the use of these technologies like accuracy and public trust, etc. Hard work from governments is required in order to overcome these challenges in the first place. It is doubtful that these challenges will be addressed during the COVID-19. However, it is a great learning experience and an opportunity to develop our technologies to overcome future pandemics.
2

Billings, Rachel Mae. "On Efficient Computer Vision Applications for Neural Networks." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/102957.

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Since approximately the dawn of the new millennium, neural networks and other machine learning algorithms have become increasingly capable of adeptly performing difficult, dull, and dangerous work conventionally carried out by humans in times of old. As these algorithms become steadily more commonplace in everyday consumer and industry applications, the consideration of how they may be implemented on constrained hardware systems such as smartphones and Internet-of-Things (IoT) peripheral devices in a time- and power- efficient manner while also understanding the scenarios in which they fail is of increasing importance. This work investigates implementations of convolutional neural networks specifically in the context of image inference tasks. Three areas are analyzed: (1) a time- and power-efficient face recognition framework, (2) the development of a COVID-19-related mask classification system suitable for deployment on low-cost, low-power devices, and (3) an investigation into the implementation of spiking neural networks on mobile hardware and their conversion from traditional neural network architectures.
Master of Science
The subject of machine learning and its associated jargon have become ubiquitous in the past decade as industries seek to develop automated tools and applications and researchers continue to develop new methods for artificial intelligence and improve upon existing ones. Neural networks are a type of machine learning algorithm that can make predictions in complex situations based on input data with human-like (or better) accuracy. Real-time, low-power, and low-cost systems using these algorithms are increasingly used in consumer and industry applications, often improving the efficiency of completing mundane and hazardous tasks traditionally performed by humans. The focus of this work is (1) to explore when and why neural networks may make incorrect decisions in the domain of image-based prediction tasks, (2) the demonstration of a low-power, low-cost machine learning use case using a mask recognition system intended to be suitable for deployment in support of COVID-19-related mask regulations, and (3) the investigation of how neural networks may be implemented on resource-limited technology in an efficient manner using an emerging form of computing.
3

Manjunath, Karan. "PREGNANCY EXPERIENCE DURING COVID-19 : KEY CHALLENGES AND DESIGN IMPLICATIONS." Thesis, Uppsala universitet, Institutionen för informatik och media, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-454021.

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The Covid-19 pandemic has caused problem in a particular sensitive area: pregnancy, a moment with a significant impact on women's life. Prior research in this area has examined how women experience and manage pregnancy. However, it is still unclear how the experience of pregnant women is affected by key challenges arising from COVID-19. This research acts as a prerequisite study which can serve as a base for future design research in HCI (Human Computer Interaction). This study used semi-structured interviews in order to collect data. Participants in this study were recruited from two countries, India and Sweden, using initial purposive sampling followed by snowball sampling method. A qualitative analysis was carried out on the data, which showed that the key challenges faced by pregnant women during COVID-19 were as follows: social life, emotion and online/remote support. The study revealed that participants felt isolated and were deprived of social contact during their pregnancy, and that the feeling of women's partners being separated from the mother and baby during doctor visits and their other pregnancy related activities impacted both partners negatively. Moreover, while pregnancy application were used to compansate for these needs, such applications were typically lacking in accuracy of information on the participants specific needs, and were thus not well-suited for used during the pandemic. Thus, HCI experts need to look at design solutions considering pregnant women needs during pandemic situations.
4

Gutiérrez, Tafur Daniela Nicol, Zambrano Rubén Alexander Figueroa, Chihuan Joaquin Anderson Jesusi, Murrugarra Jorge Ronaldo Machuca, and Vásquez Leonardo Fabricio Ochoa. "Desarrollo de la aplicación tecnológica Tera-Covid y su influencia en el tratamiento de los peruanos con secuelas post Covid-19 en el 2021." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/656951.

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La investigación presentada tiene como objetivo general brindar tratamiento especializado de terapia a través de un aplicativo llamado Tera-COVID dirigido a pacientes con secuelas de COVID-19 de Lima Metropolitana, pertenecientes al nivel socioeconómico A y B, con edad comprendidas entre los 18 y 60 años. Para poder comprobar la viabilidad del modelo de negocio propuesto se tomará un enfoque de investigación mixto, al que se le dará un diseño de investigación experimental. Para ello se realiza diferentes experimentos para la validación de nuestro proyecto que consisten en prototipos, entrevistas a expertos y usuarios, página web propia, publicidad para crecimiento en redes sociales y elevar las interacciones, esto se ejecuta con el objetivo de medir el nivel de aceptación y grado de satisfacción de nuestro público objetivo. Por otro lado, se mide la viabilidad económica de nuestro proyecto bajo proyecciones financieras en el que se incluyen costos, gastos, ingresos e inversión que nos permiten comprobar la escalabilidad del negocio y su potencial a futuro para hacerlo sostenible en el tiempo. Los resultados de nuestras validaciones indican que los potenciales clientes dan como válido el proyecto, teniendo una intención de compra obtenido con la publicidad pagada. Por otro lado, el proyecto tendría un retorno de inversión en el año 5 aproximadamente, siendo la cantidad invertida 124,205 soles. Asimismo, los ingresos proyectados en el año 5 son de 547,620 soles frente al costo que como resultado tiene una utilidad de 160,658 soles, confirmando la sostenibilidad del negocio.
The general objective of the research presented is to provide specialized therapy treatment through an application called Tera-COVID to patients with sequelae of COVID-19 in Lima Metropolitan, that belongs to socioeconomic status A and B, aged between 18 and 60 years. In order to check the viability of the proposed business model, a mixed research approach will be taken, with an experimental research design. For this purpose, different experiments are carried out for the validation of our project consisting of prototypes, interviews with experts and users, our own website, advertising for growth in social networks and raise interactions on it, this is done with the aim of measuring the level of acceptance and degree of satisfaction of our target audience. On the other hand, we measure the economic viability of our project under financial projections that include costs, expenses, income, and investment that allow us to check the scalability of the business and its future potential to make it sustainable over time. The results of our validations indicate that potential customers consider the project as valid, having a purchase intention reached with paid advertising. Finally, the project would have a return on investment in year 5, with the amount invested being S/124,205 soles. In addition, the projected income in year 5 is S/547,620 soles versus the cost which as a result has a profit of S/160,658 soles, confirming the sustainability of the business.
Trabajo de investigación
5

Schwarz, Patrick. "Prediction with Penalized Logistic Regression : An Application on COVID-19 Patient Gender based on Case Series Data." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-85642.

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The aim of the study was to evaluate dierent types of logistic regression to find the optimal model to predict the gender of hospitalized COVID-19 patients. The models were based on COVID-19 case series data from Pakistan using a set of 18 explanatory variables out of which patient age and BMI were numerical and the rest were categorical variables, expressing symptoms and previous health issues.  Compared were a logistic regression using all variables, a logistic regression that used stepwise variable selection with 4 explanatory variables, a logistic Ridge regression model, a logistic Lasso regression model and a logistic Elastic Net regression model.  Based on several metrics assessing the goodness of fit of the models and the evaluation of predictive power using the area under the ROC curve the Elastic Net that was only using the Lasso penalty had the best result and was able to predict 82.5% of the test cases correctly.
6

Sirikul, Boss. "Enhancing Usability and User Experience : A Close Look at COVID Symptom Study Mobile Application." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-84664.

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COVID-19 is a pandemic and concern throughout 2020 and 2021. Many mobile applications have been developed to track the spread of COVID-19, gather health data from people, and map the spread. In many countries, there are multiple mobile applications made by different companies and groups. However, in Sweden, there is only one mobile application so far in June 2021, and that mobile application is called COVID Symptom Study. While in other countries there are many options to choose from, in Sweden, there is only one alternative for people to use for health tracking through a mobile device. This thesis aims to investigate the usability and UX issues, which would hinder users from using the COVID Symptom StudyApplication (CSSA from now on). The CSSA then should be examined and evaluated to see if it can be improved upon to make sure that the users of the application have the best experience since it is the only one of this type of mobile application in Sweden. In this thesis, the author gathered relevant user reviews from both Google Play Store and App Store, platforms that distribute the CSSA. Document analysis was used in conjunction with heuristic evaluation as a framework to see what the application is lacking, the results then showed what will improve the user experience for the users of the CSSA. The results showed that the CSSA is not lacking in essential user experience (UX from now on) and user interface (UI from now on), but the application can be improved upon with some minor changes. In conclusion, the CSSA is doing a good job enough that there are not any major problems that would hinder the user enough to cause the UX to be unsatisfactory but there are some quality-of-life changes that can be improved upon.
7

Tobiskova, Nicole. "Managing online workshops for diverse user groups : A case of redesigning a multi-user application." Thesis, Umeå universitet, Institutionen för informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-175776.

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The participatory design previously proved to be a useful approach to design a system together with customers. Also, research has shown guidelines on managing distributed teams, which is now, during the Covid-19 pandemic, more relevant than ever. The gap that remains to be explored is the lack of guidelines on how to design a remote workshop in such a way that it enables people to share their work practice and picture their work contexts. In this work, we aim to gain knowledge about participants' abilities to collaborate online as well as accessing their different work processes by conducting a series of workshops involving a wide range of users. The results show that participants' hands-on performance was rather limited, and they tend to use more traditional ways of cooperation. Applying our methods, we were able to access details about the underlying processes of participants' work and their way of thinking that can be used to make the design of the workshop more suitable for participants.
8

Alvarez, Valdivia Emily Arlette, Saldaña Carlos Jesùs Aarón Arévalo, Lévano Tania Guadalupe Ávila, Cóndor Ricardina Jesusa Mendoza, and Cardenas Mayleni Mercedes Orihuela. "Doctor Wasi: App de doctores a domicilio especializado en niños y personas de la tercera edad, que apoye a la disminución de los problemas de salud en Lima Metropolitana." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/655556.

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El presente proyecto consiste en la creación de una app que nace en medio de una coyuntura mundial llamada COVID-19, la cual ha puesto a muchas empresas y a personas naturales bajo distintas condiciones incómodas, y para muchos, poco viables. Muchas organizaciones han tenido que adaptarse a estos cambios mayormente referidos a saneamiento y protocolos de inocuidad y otras han aprovechado estos tiempos de crisis para implementar nuevos proyectos que faciliten la vida de las personas en estos momentos difíciles y puedan llegar a encontrar una solución dentro de tanta incertidumbre. Por ello, se crea Doctor Wasi, una aplicación que se encarga de buscar médicos cercanos a tu domicilio, por medio del GPS del Smartphone. El mercado objetivo que se eligió fueron niños hasta los doce años y personas de la tercera edad, pues son el segmento más golpeado por el covid 19 actualmente y se quiso apoyar a esa clase de personas, no obstante, cualquier persona puede descargar la app y disfrutar de la experiencia de Doctor Wasi. Esta aplicación, tendrá tres tipos de especialistas, que son los médicos certificados, las enfermeras y los especialistas en terapia física, los cuales el paciente podrá escoger y contactar por medio de su teléfono celular. Asimismo, se estará en constante innovación de la app y de todas nuestras plataformas online con la ayuda de un experto en el rubro para que el cliente pueda llevarse la mejor experiencia cada vez que solicite el servicio de Doctor Wasi.
This project consists of the creation of an app that was born in the middle of a global situation called COVID-19, which has put many companies and individuals under different uncomfortable conditions, and for many, not very viable. Many organizations have had to adapt to these changes, mainly related to sanitation and safety protocols, and others have taken advantage of these times of crisis to implement new projects that make life easier for people in these difficult times and can find a solution within so much uncertainty. For this reason, Doctor Wasi was created, an application that is responsible for searching for doctors near your home, through the Smartphone's GPS. The target market that was chosen was children up to twelve years of age and the elderly, as they are the segment most affected by covid 19 today and they wanted to support that class of people, however, anyone can download the app and enjoy the Doctor Wasi experience. This application will have three types of specialists, which are certified doctors, nurses and specialists in physical therapy, which the patient can choose and contact through their cell phone. Likewise, we will be constantly innovating the app and all our online platforms with the help of an expert in the field so that the client can get the best experience every time they request the Doctor Wasi service.
Trabajo de investigación
9

Córdova, Caracciolo Christian Steve, Gonzales Estefany Lizet Matos, Castillo Carlos Alberto Ramirez, and Molinari Alonso Enrique Virú. "HURRY JOB." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/655094.

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Desde finales de 2019, el mundo está viviendo una pandemia que genera incertidumbre. En el Perú, el sector más afectado fue el laboral. Según INEI, la población ocupada disminuyó en 39.6%, lo que equivale a 6 millones 720 mil empleos, solo entre abril y junio del 2020. Este problema ha afectado tanto a empresas como trabajadores, pero los que más se vieron perjudicados fueron los practicantes pre profesionales, es decir, estudiantes universitarios que recién empezaban sus prácticas y los que estaban en búsqueda de ellas. Por ello, se decidió desarrollar Hurry Job, un aplicativo móvil para estudiantes universitarios que se encuentren en búsqueda de prácticas pre profesionales en la modalidad part time. En ese sentido, este proyecto se enfoca en ser un vínculo entre estudiantes y empresas que se encuentren en búsqueda de practicantes pre profesionales con disponibilidad para trabajar media jornada, consiguiendo así beneficios para ambas partes. Para realizar el trabajo, se validó el proyecto mediante entrevistas hacia ambos segmentos. También, se desarrollaron experimentos utilizando el landing page y concierge del servicio. Asimismo, se calculó el tamaño del mercado, delimitando el negocio a medianas y grandes empresas de Lima Metropolitana. Los segmentos objetivos para Hurry Job fueron el tipo de empresas mencionadas anteriormente y estudiantes universitarios en búsqueda de prácticas pre profesionales. Por último, se realizará un plan financiero, que incluya los principales ratios financieros, el Balance General y el Estado de Resultados, para analizar la viabilidad del negocio en términos monetarios.
Since the end of 2019, the world has been experiencing a pandemic that generates uncertainty. In Peru, the most affected sector was labor. According to INEI, the employed population decreased by 39.6%, which is equivalent to 6 million 720 thousand jobs, only between April and June 2020. This problem has affected both companies and workers, but those who were most affected were pre-practitioners professionals, that is, university students who were just starting their internships and those who were looking for them. Therefore, it was decided to develop Hurry Job, a mobile application for university students who are looking for pre-professional practices in the part time mode. In this sense, this project focuses on being a link between students and companies that are in search of pre-professional practitioners with availability to work part-time, thus achieving benefits for both parties. To carry out the work, the project was validated through interviews with both segments. Also, experiments were developed using the landing page and the service's concierge. Likewise, the size of the market was calculated, delimiting the business to medium and large companies in Lima Metropolitana. The target segments for Hurry Job were the type of companies mentioned above and university students looking for pre-professional practices. Finally, a financial plan will be made, including the main financial ratios, the Balance Sheet and the Income Statement, to analyze the viability of the business in monetary terms.
Trabajo de investigación
10

(9750296), Joan L. Ponce. "Structured Epidemiological Models with Applications to COVID-19, Ebola, and Childhood-Diseases." Thesis, 2020.

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Анотація:
Public health policies increasingly rely on complex models that need to approximate epidemics realistically and be consistent with the available data. Choosing appropriate simplifying assumptions is one of the critical challenges in disease modeling. In this thesis, we focus on some of these assumptions to show how they impact model outcomes.
In this thesis, an ODE model with a gamma-distributed infectious period is studied and compared with an exponentially distributed infectious period. We show that, for childhood diseases, isolating infected children is a possible mechanism causing oscillatory behavior in incidence. This is shown analytically by identifying a Hopf bifurcation with the isolation period as the bifurcation parameter. The threshold value for isolation to generate sustained oscillations from the model with gamma-distributed isolation period is much more realistic than the exponentially distributed model.

The consequences of not modeling the spectrum of clinical symptoms of the 2014 Ebola outbreak in Liberia include overestimating the basic reproduction number and effectiveness of control measures. The outcome of this model is compared with those of models with typical symptoms, excluding moderate ones. Our model captures the dynamics of the recent outbreak of Ebola in Liberia better, and the basic reproduction number is more consistent with the WHO response team's estimate. Additionally, the model with only typical symptoms overestimates the basic reproduction number and effectiveness of control measures and exaggerates changes in peak size attributable to interventions' timing.

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Книги з теми "COVID-19 applications":

1

Saba, Tanzila, and Amjad Rehman Khan. Intelligent Computing Applications for COVID-19. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003141105.

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2

Sandhu, Kamalpreet, Sunpreet Singh, Chander Prakash, Neeta Raj Sharma, and Karupppasamy Subburaj, eds. Emerging Applications of 3D Printing During CoVID 19 Pandemic. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-33-6703-6.

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3

Wijers, Jean Paul, Isabel Amaral, William Hanson, Bengt-Arne Hulleman, and Diana Mather. Protocol to Manage Relationships Today. NL Amsterdam: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463724159.

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Protocol to Manage Relationships Today explains the contemporary value of protocol, not only for monarchies or diplomatic institutes, but for any non-profit or for-profit organisation. This book presents modern protocol as a tool to build strong, authentic networks of reciprocal relationships. When used effectively protocol can: - Increase the effect of the networking activities of an organisation. Protocol gives a professional structure to relationship management, to achieve access to the 'right' networks and a reciprocal relationship with the most valued stakeholders. - Deepen relationships. In our world there is so much focus on pragmatism in building relationships - protocol focuses on the common ground to gain value. - Be used as a valuable tool in a post COVID-19 era, where the need for space and time to build real and authentic relationships is well understood. The book defines how tested values perfectly fit in today's society, where modern organisations want to build effective relationships and communities. This book is focused on developing an increasingly vital expertise for professionals who deal with complex relationship management issues on a strategic and tactical operational level. They come from different fields, such as government institutions, non-profit organisations and commercial environments. This book also gives protocol officers a contemporary approach towards the application of protocol. It is not designed as a complete guide to all the rules of protocol, but it describes how to translate the context into a tailor-made protocol for each meeting or event. The book explains protocol as a flexible method to handle unique situations. Protocol is presented on four levels: the 'why' of protocol; the strategic and tactical level; the practical implementation; and the execution of protocol. Protocol to Manage Relationships Today is written by Europe's foremost protocol experts with collective years of experience with the management of networking meetings and events at the highest level.
4

Yilmaz, Fatih, María Jesús Santos Sánchez, Araceli Queiruga-Dios, Jesús Martín-Vaquero, and Melek Sofyalioğlu, eds. International Conference on Mathematics and its Applications in Science and Engineering (ICMASE 2020). Ediciones Universidad de Salamanca, 2020. http://dx.doi.org/10.14201/0aq0302.

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This abstract booklet includes the abstracts of the papers that have been presented at International Conference on Mathematics and its Applications in Science and Engineering (ICMASE 2020) which is held in Ankara Hacı Bayram Veli University, Ankara, Turkey between 9-10 July, 2020, via Online because of Covid 19 pandemia. The aim of this conference is to exchange ideas, discuss developments in mathematics, develop collaborations and interact with professionals and researchers from all over the world in with some of the following interesting topics: Functional Analysis, Approximation Theory, Real Analysis, Complex Analysis, Harmonic and non-Harmonic Analysis, Applied Analysis, Numerical Analysis, Geometry, Topology and Algebra, Modern Methods in Summability and Approximation, Operator Theory, Fixed Point Theory and Applications, Sequence Spaces and Matrix Transformation, Modern Methods in Summability and Approximation, Spectral Theory and Diferantial Operators, Boundary Value Problems, Ordinary and Partial Differential Equations, Discontinuous Differential Equations, Convex Analysis and its Applications, Optimization and its Application, Mathematics Education, Application on Variable Exponent Lebesgue Spaces, Applications on Differential Equations and Partial Differential Equations, Fourier Analysis, Wavelet and Harmonic Analysis Methods in Function Spaces, Applications on Computer Engineering, Flow Dynamics. However, the talks are not restricted to these subjects only. I am pleased to tell that this conference is also organized as a final multiplier event of the Rules_Math Project, supported by the EU.
5

Clayton, Gina, and Georgina Firth. Immigration & Asylum Law. 9th ed. Oxford University Press, 2021. http://dx.doi.org/10.1093/he/9780198848936.001.0001.

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The ninth edition of Immigration and Asylum Law provides expert coverage of case law and legislation, along with analysis of the political context and social impact of the law and a strong focus on human rights. The volume guides the reader through this constantly developing area of law. Analysis and commentary on the political, social, and historical dimensions of the law brings the subject to life and encourages readers to engage critically with the issues. This edition has been fully updated with recent cases and developments in the law, including the impacts of Brexit and the Covid-19 pandemic on immigration and the asylum process, coverage of the Windrush scandal, and a discussion of the case of Shamima Begum. It also contains important clarification from the higher courts on the interpretation and application of Part 5A of the NIAA 2002, a consideration of the impacts of the hostile (compliant) environment, updated Home Office guidance on Age Assessment and challenges to detained asylum casework, the Home Office Removals Policy, and the new Immigration Bail provisions.
6

Dye, Christopher. The Great Health Dilemma. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198853824.001.0001.

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The proverbial benefits of prevention over cure are self-evident—and yet we are reluctant to invest in staying healthy. Resolution of this age-old dilemma begins with a timeless truth: the benefits of good health come at a cost: prevention is not better than cure at any price. That logic leads to a testable—and refutable—proposition: that prevention should be favoured when an imminent, high-risk, high-impact hazard can be averted at relatively low cost. Application of this idea helps to explain why cigarette smoking is still commonplace, why the world was not ready for the COVID-19 pandemic, why the idea of a ‘sin tax’ is misconceived, why billions still do not have access to safe sanitation, why the response to climate change has been so slow, and why public health advice often falls on deaf ears. Much more money and effort are invested in health promotion and prevention today than is commonly thought, but the enormous avoidable burden of illness is reason to seek incentives for investing still more. The principles, together with a series of case studies in diverse settings, offer 12 lessons for prevention. These are methods and motives for shifting the balance away from reactive medical treatment, bypassing illness and injury, to promote better health and well-being.
7

Nahm, Jonas. Collaborative Advantage. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197555361.001.0001.

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In an era of rapid international economic integration, how do countries interact, innovate, and compete in industries, like energy, that are fundamental to national interests? Collaborative Advantage: Forging Green Industries in the New Global Economy examines the development of wind and solar industries, two sectors of historic importance that have long been the target of ambitious public policy. As wind and solar grew from cottage industries into $300 billion global sectors, China, Germany, and the United States each developed distinct constellations of firms with starkly different technical capabilities. The book shows that globalization itself has reinforced such distinct national patterns of industrial specialization. Economically, globalization has created opportunities for firms to specialize through collaboration with others. Politically, new possibilities for specialization have allowed firms to repurpose existing domestic institutions for application in new industries. Against the backdrop of policy efforts that have generally failed to grasp the cross-national nature of innovation, the book offers a novel explanation for both the causes of changes in the global organization of innovation and their impact on domestic politics. As interdependence in global supply chains has again come under fire in the wake of the Covid-19 pandemic, Collaborative Advantage challenges the notion that globalization is primarily about competition, highlighting instead the central role of collaboration in the global economy, particularly in clean energy industries critical to solving the climate crisis.

Частини книг з теми "COVID-19 applications":

1

Kanakala, Srinivas, and Vempaty Prashanthi. "Covid-19 Spread Analysis." In Smart Computing Techniques and Applications, 31–40. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1502-3_5.

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2

Mehfooz, Fahad, Sakshi Jha, Sahil Singh, Shreya Saini, and Nidhi Sharma. "Medical Chatbot for Novel COVID-19." In ICT Analysis and Applications, 423–30. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8354-4_42.

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3

Gasmi, A. "Enabled IoT Applications for Covid-19." In EAI/Springer Innovations in Communication and Computing, 305–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68936-0_15.

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4

Nandalal, V., and V. Anand Kumar. "Internet of Things (IoT) and Real Time Applications." In Artificial Intelligence for COVID-19, 195–214. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69744-0_12.

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Nesteruk, Igor. "Applications of the General SIR Model for Calculations of the COVID-19 Epidemic Waves in Ukraine." In COVID-19 Pandemic Dynamics, 141–46. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6416-5_11.

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6

Shah, Devansh, and Santosh Kumar Bharti. "Artificial Intelligence Applications to Tackle COVID-19." In Soft Computing and its Engineering Applications, 264–76. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0708-0_22.

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7

Nourbakhsh, Zahra. "COVID-19 CT Image Segmentation and Detection." In Intelligent Computing Applications for COVID-19, 97–122. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003141105-6.

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8

Tiwari, Sukriti, and Ashwani Kumar. "Big Data in COVID-19 Assistance—Concepts, Motivations, Advances and Applications in Real-World." In Artificial Intelligence for COVID-19, 345–61. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69744-0_20.

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9

Hassan, Syed Ale, Sahar Gull, Shahzad Akbar, Israr Hanif, Sajid Iqbal, and Muhammad Waqas Aziz. "Artificial Intelligence in Coronavirus Detection." In Intelligent Computing Applications for COVID-19, 23–48. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003141105-2.

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10

Gunasekaran, Hemalatha, K. Ramalakshmi, Shalini Ramanathan, and R. Venkatesan. "A Deep Learning CNN Model for Genome Sequence Classification." In Intelligent Computing Applications for COVID-19, 169–85. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003141105-9.

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Тези доповідей конференцій з теми "COVID-19 applications":

1

Dogan, Gulustan, Rachel Carroll, and Gozde Merve Demirci. "911 4 COVID-19: Analyzing Impact of COVID-19 on 911 Call Behavior." In ICSCA 2021: 2021 10th International Conference on Software and Computer Applications. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3457784.3457785.

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2

Magomed-Eminov, Madrudin, Ekaterina Karacheva, Olga Kvasova, Olga Magomed-Eminova, Ivan Prihod’ko, and Olga Savina. "PERSONAL GROWTH AND COVID-19 DISTRESS." In International Psychological Applications Conference and Trends. inScience Press, 2021. http://dx.doi.org/10.36315/2021inpact099.

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"Various psychological reactions, found to traumatic distress, are widely known in psychological literature. Based on 30-years theoretical and empirical studies of extreme human experience, we suggested unconventional approach to differentiation of psychological reactions and human behavior in various extreme events into three groups:1) distress, disorganization, disorders, traumatization; 2) adaptation, hardiness, resilience; 3) personal growth, transgression (Magomed-Eminov M., 1998, 2007). The proposed research is devoted to the positive psychological consequences of COVID-19 disease. Our aim was to study the positive psychological influence of COVID-19 disease for lifestyle, behavior, communication, life relationships, and well-being of people, who were ill. We suggested and checked the hypothesis, that objectively serious COVID-19 disease, carrying uncertainty, confusion, horror, for many people discover also a heroism, pride, the experience of success because of coping with disease. We collected the narratives of people, who got COVID-19, and conducted content analysis. Our study showed that after being ill COVID-19 interviewed people discovered new meanings of existence, despite the loss of loved ones, socio-economic difficulties and other hardships of COVID- 19 pandemics. We conclude that COVID-19 disease as extreme situation not only becomes a test, but can also open up new perspectives, value of other people and of life in general."
3

Showalter, Esther, Morgan Vigil-Hayes, Ellen Zegura, Rich Sutton, and Elizabeth Belding. "Tribal Mobility and COVID-19." In HotMobile '21: The 22nd International Workshop on Mobile Computing Systems and Applications. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3446382.3448654.

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4

Chehili, Hamza, and Mustapha Bensaada. "A Cross-Platform Application for Covid-19 Diagnostic." In 8th International Conference on Artificial Intelligence and Applications (AIAP 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110113.

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The emergency of the Covid 19 pandemic has led technology to seek solutions to the different problems caused by the disease. In the monitoring area, connected devices offer new possibilities to a rapid detection and intervention of the new cases. They allow remote diagnostic to infected patients with covid 19 symptoms. However, the heterogeneity of the platform requires applications' developers to develop specific solutions for each platform. In this paper, we propose a cross-platform application that permits developer to use one code to build applications in different platforms. The paper describes the architecture of the application by presenting its three parts: interface screens (UI), data manipulation and authentication implementation. Finally, we show selected screens of an android release as an example.
5

Akman, Caglar, Okan Demir, and Tolga Sonmez. "Covid-19 SEIQR Spread Mathematical Model." In 2021 29th Signal Processing and Communications Applications Conference (SIU). IEEE, 2021. http://dx.doi.org/10.1109/siu53274.2021.9477975.

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6

Sulaiman, Yousif Hardan, and Ahmed Shamil Mustafa. "COVID-19: Toward Artificial Intelligence Algorithms." In 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2021. http://dx.doi.org/10.1109/hora52670.2021.9461323.

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7

Yi, Fan, Yaxiong Xie, and Kyle Jamieson. "Cellular-Assisted COVID-19 Contact Tracing." In MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469258.3469848.

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8

August, Michael, Christopher Davison, Mamadou Diallo, Dhrubajyoti Ghosh, Peeyush Gupta, Christopher Graves, Shanshan Han, et al. "A privacy-enabled platform for COVID-19 applications." In SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3384419.3430594.

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9

Mporas, Iosif, and Prasitthichai Naronglerdrit. "COVID-19 Identification from Chest X-Rays." In 2020 International Conference on Biomedical Innovations and Applications (BIA). IEEE, 2020. http://dx.doi.org/10.1109/bia50171.2020.9244509.

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10

Wang, Ranran, Gang Hu, Chi Jiang, Huimin Lu, and Yin Zhang. "Data Analytics for the COVID-19 Epidemic." In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2020. http://dx.doi.org/10.1109/compsac48688.2020.00-83.

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Звіти організацій з теми "COVID-19 applications":

1

Mullahy, John. Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID-19 Clinical Trials. Cambridge, MA: National Bureau of Economic Research, October 2020. http://dx.doi.org/10.3386/w27895.

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2

Safta, Cosmin, Jaideep Ray, Erin Acquesta, Thomas Catanach, Kamaljit Chowdhary, Bert Debusschere, Edgar Galvan, Gianluca Geraci, Mohammad Khalil, and Teresa Portone. Characterization of Partially Observed Epidemics - Application to COVID-19. Office of Scientific and Technical Information (OSTI), June 2020. http://dx.doi.org/10.2172/1763554.

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3

Manski, Charles. Vaccination Planning under Uncertainty, with Application to Covid-19. Cambridge, MA: National Bureau of Economic Research, February 2021. http://dx.doi.org/10.3386/w28446.

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4

Hsu, Britney. Application of Web-Based Tool AIDO to COVID-19. Office of Scientific and Technical Information (OSTI), July 2021. http://dx.doi.org/10.2172/1811863.

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5

Mehta, Goverdhan, Alain Krief, Henning Hopf, and Stephen A. Matlin. Chemistry in a post-Covid-19 world. AsiaChem Magazine, November 2020. http://dx.doi.org/10.51167/acm00013.

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The long-term impacts of global upheaval unleashed by Covid-19 on economic, political, social configurations, trade, everyday life in general, and broader planetary sustainability issues are still unfolding and a full assessment will take some time. However, in the short term, the disruptive effects of the pandemic on health, education, and behaviors and on science and education have already manifested themselves profoundly – and the chemistry arena is also deeply affected. There will be ramifications for many facets of chemistry’s ambit, including how it repositions itself and how it is taught, researched, practiced, and resourced within the rapidly shifting post-Covid-19 contexts. The implications for chemistry are discussed hereunder three broad headings, relating to trends (a) within the field of knowledge transfer; (b) in knowledge application and translational research; and (c) affecting academic/professional life.
6

Baqaee, David, and Emmanuel Farhi. Nonlinear Production Networks with an Application to the Covid-19 Crisis. Cambridge, MA: National Bureau of Economic Research, May 2020. http://dx.doi.org/10.3386/w27281.

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7

Merten, Martina, Susann Roth, and Fazilah Shaik Allaudin. Public Health Innovations for COVID-19: Finding, Trusting, and Scaling Innovation. Asian Development Bank, October 2020. http://dx.doi.org/10.22617/wps200283-2.

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The public and private sector, civil society, and academic institutions have developed many innovative solutions to manage public health aspects of the coronavirus disease (COVID-19) pandemic. Innovators have focused on tools for surveillance, supply chain management, clinical trials, diagnosis, communication, and developing vaccines. These have been supplemented by research collaboration platforms, isolation and hospital upgrading novelties, as well as risk stratification resources. This paper provides an overview of these solutions to enhance the evidence-based application of innovative public health approaches. The author’s also propose that a “living platform” for sharing public health innovations is developed.
8

Schmidt-Sane, Megan, Tabitha Hrynick, and Eva Niederberger. Community Resilience: Key Concepts and their Applications to Epidemic Shocks. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/sshap.2021.003.

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The COVID-19 pandemic has exposed long-standing social inequalities and vulnerabilities, with the most disadvantaged and marginalised groups bearing the greatest health, social, and economic burdens. Beyond documenting these vulnerabilities, there is a need to mitigate them and support the resilience of marginalised communities. ‘Community resilience’ can bolster community capacity to cope with the pressures of various shocks; this brief explores how its concepts can be applied to epidemics. It reviews the grey and academic literature on different approaches to community resilience. It covers 1) terminology, 2) lessons from practice, 3) the context of community resilience, 4) a systems approach, and 5) key human and social capacities. Social justice, inequality, equity, and fairness are highlighted as themes in need of further development for resilience as it relates to epidemic preparedness and response. This brief was developed for SSHAP by IDS (led by Megan Schmidt-Sane with Tabitha Hrynick) with Anthrologica (Eva Niederberger).
9

Schmidt-Sane, Megan, Tabitha Hrynick, and Eva Niederberger. Community Resilience: Key Concepts and their Applications to Epidemic Shocks. Institute of Development Studies (IDS), February 2021. http://dx.doi.org/10.19088/sshap.2021.027.

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The COVID-19 pandemic has exposed long-standing social inequalities and vulnerabilities, with the most disadvantaged and marginalised groups bearing the greatest health, social, and economic burdens. Beyond documenting these vulnerabilities, there is a need to mitigate them and support the resilience of marginalised communities. ‘Community resilience’ can bolster community capacity to cope with the pressures of various shocks; this brief explores how its concepts can be applied to epidemics. It reviews the grey and academic literature on different approaches to community resilience. It covers 1) terminology, 2) lessons from practice, 3) the context of community resilience, 4) a systems approach, and 5) key human and social capacities. Social justice, inequality, equity, and fairness are highlighted as themes in need of further development for resilience as it relates to epidemic preparedness and response. This brief was developed for SSHAP by IDS (led by Megan Schmidt-Sane with Tabitha Hrynick) with Anthrologica (Eva Niederberger).
10

Schmidt-Sane, Megan, Tabitha Hrynick, and Eva Niederberger. Community Resilience: Key Concepts and their Applications to Epidemic Shocks. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/sshap.2021.026.

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The COVID-19 pandemic has exposed long-standing social inequalities and vulnerabilities, with the most disadvantaged and marginalised groups bearing the greatest health, social, and economic burdens. Beyond documenting these vulnerabilities, there is a need to mitigate them and support the resilience of marginalised communities. ‘Community resilience’ can bolster community capacity to cope with the pressures of various shocks; this brief explores how its concepts can be applied to epidemics. It reviews the grey and academic literature on different approaches to community resilience. It covers 1) terminology, 2) lessons from practice, 3) the context of community resilience, 4) a systems approach, and 5) key human and social capacities. Social justice, inequality, equity, and fairness are highlighted as themes in need of further development for resilience as it relates to epidemic preparedness and response. This brief was developed for SSHAP by IDS (led by Megan Schmidt-Sane with Tabitha Hrynick) with Anthrologica (Eva Niederberger).

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