CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics

The world is suffering from a pandemic called COVID-19, caused by the SARS-CoV-2 virus. National governments have problems evaluating the reach of the epidemic, due to having limited resources and tests at their disposal. This problem is especially acute in low and middle-income countries (LMICs). Hence, any simple, cheap and flexible means of evaluating the incidence and evolution of the epidemic in a given country with a reasonable level of accuracy is useful. In this paper, we propose a technique based on (anonymous) surveys in which participants report on the health status of their contacts. This indirect reporting technique, known in the literature as network scale-up method, preserves the privacy of the participants and their contacts, and collects information from a larger fraction of the population (as compared to individual surveys). This technique has been deployed in the CoronaSurveys project, which has been collecting reports for the COVID-19 pandemic for more than two months. Results obtained by CoronaSurveys show the power and flexibility of the approach, suggesting that it could be an inexpensive and powerful tool for LMICs.Comment: Presented at The KDD Workshop on Humanitarian Mapping, San Diego, California USA, August 24, 202

Diffusion de contenu en pair-à-pair

L'utilisation grandissante du réseau Internet et du Web comme moyen privilégié de diffusion de l'information fait émerger de nouveaux défi s pour lesquels le modèle client-serveur classique tend à monter ses limites en termes de robustesse et de montée en charge. Nous proposons un nouveau système : behaveCDN. Celui-ci permet la diffusion de contenu Web, en utilisant les algorithmes pair-à-pair non structurés pour construire un réseau basé sur les modèles sociaux. Ce modèle nous permet de proposer un système de cache distribué, capable de tenir compte des intérêts des utilisateurs. Il permet d'augmenter le potentiel de montée en charge des infrastructures existantes et de préserver l'expérience utilisateur lors d'éventuelles surcharges. Une implémentation est disponible afin d'évaluer ce modèle et peut être réutilisée comme plate-forme d'expérimentation réelle pour les problématiques liées aux modèles pair-à-pair ou au respect de la vie privée

Measurements, Performance and Analysis of LoRa FABIAN, a real-world implementation of LPWAN

International audienceUp to recently, two main approaches were used for connecting the "things" in the growing Internet of Things (IoT)-one based on multi-hop mesh networks , using short-range technologies and unlicensed spectrum, and the other based on long-range cellular network technologies using corresponding licensed frequency bands. New type of connectivity used in Low-Power Wide Area networks (LPWAN), challenges these approaches by using low-rate long-range transmission technologies in unlicensed sub-GHz frequency bands. In this paper, we do performance testing on one such star-topology network, based on Semtech's LoRa TM technology, and deployed in the city of Rennes-LoRa FABIAN. In order to check the quality of service (QoS) that this network can provide, generally and in given conditions, we conducted a set of performance measurements. We performed our tests by generating and then observing the traffic between IoT nodes and LoRa TM IoT stations using our LoRa FABIAN protocol stack. With our experimental setup, we were able to generate traffic very similar to the one that can be used by real application such as sensor monitoring. This let us extract basic performance metrics, such as packet error rate (PER), but also metrics related specifically to the LoRa physical layer, such as the Received Signal Strength Indicator (RSSI) and Signal to Noise ratio (SNR), within various conditions. Our findings provide insight about the performance of LoRa networks, but also about evaluation methods for these type of networks. We gathered measurement data that we make freely available together with the tools we used

Estimating the COVID-19 Prevalence in Spain With Indirect Reporting via Open Surveys

During the initial phases of the COVID-19 pandemic, accurate tracking has proven unfeasible. Initial estimation methods pointed toward case numbers that were much higher than officially reported. In the CoronaSurveys project, we have been addressing this issue using open online surveys with indirect reporting. We compare our estimates with the results of a serology study for Spain, obtaining high correlations (R squared 0.89). In our view, these results strongly support the idea of using open surveys with indirect reporting as a method to broadly sense the progress of a pandemic

Estimating the COVID-19 Prevalence in Spain With Indirect Reporting via Open Surveys

During the initial phases of the COVID-19 pandemic, accurate tracking has proven unfeasible. Initial estimation methods pointed toward case numbers that were much higher than officially reported. In the CoronaSurveys project, we have been addressing this issue using open online surveys with indirect reporting. We compare our estimates with the results of a serology study for Spain, obtaining high correlations (R squared 0.89). In our view, these results strongly support the idea of using open surveys with indirect reporting as a method to broadly sense the progress of a pandemic

The CoronaSurveys System for COVID-19 Incidence Data Collection and Processing

International audienceCoronaSurveys is an ongoing interdisciplinary project developing a system to infer the incidence of COVID-19 around the world using anonymous open surveys. The surveys have been translated into 60 languages and are continuously collecting participant responses from any country in the world. The responses collected are pre-processed, organized, and stored in a version-controlled repository, which is publicly available to the scientific community. In addition, the CoronaSurveys team has devised several estimates computed on the basis of survey responses and other data, and makes them available on the project’s website in the form of tables, as well as interactive plots and maps. In this paper, we describe the computational system developed for the CoronaSurveys project. The system includes multiple components and processes, including the web survey, the mobile apps, the cleaning and aggregation process of the survey responses, the process of storage and publication of the data, the processing of the data and the computation of estimates, and the visualization of the results. In this paper we describe the system architecture and the major challenges we faced in designing and deploying it

The CoronaSurveys System for COVID-19 Incidence Data Collection and Processing

CoronaSurveys is an ongoing interdisciplinary project developing a system to infer the incidence of COVID-19 around the world using anonymous open surveys. The surveys have been translated into 60 languages and are continuously collecting participant responses from any country in the world. The responses collected are pre-processed, organized, and stored in a version-controlled repository, which is publicly available to the scientific community. In addition, the CoronaSurveys team has devised several estimates computed on the basis of survey responses and other data, and makes them available on the project’s website in the form of tables, as well as interactive plots and maps. In this paper, we describe the computational system developed for the CoronaSurveys project. The system includes multiple components and processes, including the web survey, the mobile apps, the cleaning and aggregation process of the survey responses, the process of storage and publication of the data, the processing of the data and the computation of estimates, and the visualization of the results. In this paper we describe the system architecture and the major challenges we faced in designing and deploying it

Nurses’ Role in Cardiovascular Risk Assessment and Management in People with Inflammatory Arthritis: A European Perspective

Copyright © 2015 John Wiley & Sons, Ltd. Introduction: Cardiovascular risk (CVR) assessment and management in patients with inflammatory arthritis (IA) is recommended but European nurses’ involvement in this role has not been well studied. Aim: The aim of the present study was to explore European nurses’ role in assessing and managing CVR, in order to suggest topics for practice development and research in this area regarding persons with IA. Methods: We searched Embase, Cinahl, Cochrane, PsycInfo and PubMed databases and included European articles from the past ten years if they described how nurses assess and/or manage CVR. In addition to the systematic review, we provided case studies from five different countries to illustrate national guidelines and nurses’ role regarding CVR assessment and management in patients with IA. Results: Thirty-three articles were included. We found that trained nurses were undertaking CVR assessment and management in different settings and groups of patients. The assessments include blood pressure, body mass index, waist circumference, glucose and lipid-profile, adherence to medication and behavioural risk factors (unhealthy diet, physical inactivity, alcohol and smoking). Different tools were used to calculate patients’ risk. Risk management differed from brief advice to long-term follow-up. Nurses tended to take a holistic and individually tailored approach. Clinical examples of inclusion of rheumatology nurses in these tasks were scarce. Conclusion: Nurses undertake CVR assessment, communication and management in different types of patients. This is considered to be a highly relevant task for rheumatology nursing, especially in patients with IA. Further studies are needed to assess patients’ perspective, effectiveness and cost-effectiveness of nurse-led CVR. Copyright © 2015 John Wiley & Sons, Ltd