Search results for "Pandemic"

Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data

2014

Incorporating prior knowledge (e.g., the spatial distribution of zip codes and background population effects) into a model using Bayesian methods could potentially improve outbreak detection. We adapted a previously described Bayesian model-based spatiotemporal surveillance technique to daily respiratory syndrome counts in NYC Emergency Department data in 2009, the year of the H1N1 influenza pandemic. Citywide, 56 alarms were produced across 15 zip codes, all during days of elevated respiratory visits. Future work includes evaluating our choice of baseline length, considering other alarm thresholds, and conducting a formal evaluation of the method across five syndromes in NYC.

Novel COVID-19 Intersections with Dentistry: Approaches to protection

2021

Background: COVID-19 outbreak brought many challenges to the society and to health care systems Health care professionals in dental practices are a high-risk population, due to close contact to saliva and aerosols Specific guidance for those professionals is essential to control disease transmission and guarantee dentist's health Material and Methods: We performed a literature review based on online search in Pubmed, Scientific Electronic Library, Literatura Latino-Americana e do Caribe em Ciencias da Saude and Scopus databases Included articles were fully read and analysed regarding infection control measurements, use of personal protective equipment (PPE), conditions for procedures and us…

COVID-19 and globalization

2020

The world is experiencing a major pandemic caused by SARS-CoV-2, the Coronavirus causing COVID-19. This disease first entered the human population in Hubei province, China, in mid-November 2019 and manifested in Wuhan, the largest metropolitan area of Hubei, when a cluster of patients were admitted to hospital with a ‘severe pneumonia of unknown cause’ in early December. Although humanity has survived previous pandemics by infectious agents, the present one is unprecedented in its capacity to take advantage of modern globalization allowing for massive transborder spread at a surprising speed. When writing these lines, the pandemic affects 181 countries and territories, with around 1,084,000…

Próba oceny efektywności realizacji obowiązku nauki szkolnej w dobie pandemii

2021

Lo zerosei di fronte all’emergenza COVID. Esperienze, ricerche e riflessioni pedagogiche

2022

Il volume prende le mosse da un incontro on line organizzato il 28 novembre 2020 dal Gruppo SIPED Infanzia sul tema: Lo zero-sei di fronte all’emergenza COVID. In quella sede vennero proposte riflessioni particolarmente interessanti, che hanno trovato poi un approfondimento scientifico nei diversi contributi raccolti. È suddiviso in tre parti tra loro interrelate, che spaziano temporalmente dall’improvvisa chiusura totale dei servizi per l’infanzia a marzo 2020, fino alle prime esperienze di riapertura in nuovi assetti organizzativi nell’a.s. 2020-21. La situazione pandemica e le sue conseguenze pratiche, hanno generato criticità gestionali, oltre a preoccupazione e disorientamento nel pers…

Emozioni, rischi e stress. Indagini preliminari

2021

Una breve introduzione a una raccolta di saggi su questioni psico-pedagogiche connesse a emozioni, rischi e stress. A brief introduction to a collection of essays on psycho-pedagogical issues related to emotions, risks and stress.

Hierarchical Analysis of Forms of Support for Employees in the Field of Health Protection and Quality of Work during the COVID-19 Pandemic and the De…

2022

Issues of employee support during the COVID-19 pandemic and the post-pandemic period are of an interdisciplinary nature. Moreover, these should be considered from both an epistemological and a practical perspective. The aim of this study was to determine what forms of support for employees in terms of health and quality of work were provided by employers during the pandemic and what forms of support will be expected by employees after it ceases. The research process was carried out in two stages: primary and secondary exploration and quantitative clarification. In the first stage, a systematic review of the literature and a critical analysis of the so-called grey literature was performed. I…

Experience of Ethnic Discrimination, Anxiety, Perceived Risk of COVID-19, and Social Support among Polish and International Students during the Pande…

2023

Background: Our research aimed to assess the experiences of ethnic discrimination among students in Poland (Polish and international) during the COVID-19 pandemic. We also tested the prevalence of anxiety symptoms and their relationship with perceived COVID-19 risk, the severity of discrimination, and social support. Methods: The data from Polish (n = 481) and international university students (n = 105) were collected online (November–January 2020). Participants completed measures of ethnic discrimination (GEDS), anxiety scale (GAD-7), COVID-19 risk perception index, and perceived social support scale (MSPSS) questionnaires. Results: The results showed that international students reported b…

Adaptation and Preliminary Validation of the Fear of Coronavirus Vaccination Scale in the Prospective Study among a Representative Sample of Polish, …

2022

Although concerns about harm and side effects are among the most important factors determining vaccine hesitancy, research on the fear of vaccination is sparse. The purpose of this study is a validation the Fear of Coronavirus Vaccination Scale (FoCVVS), adapted from the Fear of COVID-19 Scale. A representative sample of 1723 young adults aged 20–40 from Poland, Israel, Slovenia, and Germany participated during two time-points of the third COVID-19 pandemic wave. The online survey included demographic variables and several well-being dimensions, including gender, vaccination status, fear of coronavirus (FoCV-19S), physical health (GSRH), life satisfaction (SWLS), and perceived stress (PSS-1…

Machine learning for mortality analysis in patients with COVID-19

2020

This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain). Survival analysis, logistic regression, and machine learning techniques (both supervised and unsupervised) are applied to carry out the analysis where the endpoint variable is the reason for hospital discharge (home or deceased). The different methods applied show the importance of variables such as age, O2 saturation at Emergency Rooms (ER), and whether the patient comes from a nursing home. In addition, biclustering is used to globally analyze the patient-drug dataset, extracting segments of patients. We highlight the validity of the classifiers developed to predict the mortality, reaching…