A5028327260- COVID-19 epidemiological studies
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
- Misinformation and Its Impacts
- Human Mobility and Location-Based Analysis
- Social Media in Health Education
- COVID-19 and Mental Health
- Social Media and Politics
- Plant Pathogens and Fungal Diseases
- demographic modeling and climate adaptation
- Vaccine Coverage and Hesitancy
- Focus Groups and Qualitative Methods
- Anomaly Detection Techniques and Applications
- Respiratory viral infections research
- Migration and Labor Dynamics
- COVID-19 and healthcare impacts
- Nail Diseases and Treatments
- Health disparities and outcomes
- Survey Methodology and Nonresponse
- Insurance, Mortality, Demography, Risk Management
- Mosquito-borne diseases and control
- Higher Education and Sustainability
- Literature Analysis and Criticism
- Diverse Aspects of Tourism Research
- Regional Development and Policy
Max Planck Institute for Demographic Research
2020-2023
Bambino Gesù Children's Hospital
2023
Institute for Scientific Interchange
2015-2019
Science Research Laboratory
2019
Abstract Background In the absence of medical treatment and vaccination, individual behaviours are key to curbing spread COVID-19. Here we describe efforts collect attitudinal behavioural data disseminate insights increase situational awareness inform interventions. Methods We developed a rapid collection monitoring system based on cross-national online survey, “COVID-19 Health Behavior Survey”. Respondent recruitment occurred via targeted Facebook advertisements in Belgium, France, Germany,...
The availability of novel digital data streams that can be used as proxy for monitoring infectious disease incidence is ushering in a new era real-time forecast approaches to spreading. Here, we propose the first seasonal influenza framework based on stochastic, spatially structured mechanistic model (individual level microsimulation) initialized with geo-localized microblogging data. provides more than 600 census areas United States, Italy and Spain, initial conditions stochastic epidemic...
Background: The wide availability of the Internet and growth digital communication technologies have become an important tool for epidemiological studies health surveillance. Influenzanet is a participatory surveillance system monitoring incidence influenza-like illness (ILI) in Europe since 2003. It based on data provided by volunteers who self-report their symptoms via throughout influenza season currently involves 10 countries. Objective: In this paper, we describe provide overview...
In this work, we aim to determine the main factors driving behavioral change during seasonal flu. To end, analyze a unique dataset comprised of 599 surveys completed by 434 Italian users Influweb, Web platform for participatory surveillance, 2017-18 and 2018-19 seasons. The data provide socio-demographic information, level concerns about flu, past experience with illnesses, type changes implemented each participant. We describe response set features divide them in three target categories....
Non-pharmaceutical interventions have been implemented worldwide to curb the spread of COVID-19. However, effectiveness such governmental measures in reducing mortality burden remains a key question scientific interest and public debate. In this study, we leverage digital mobility data assess effects reduced human on excess mortality, focusing regional England Wales between February August 2020. We estimate robust association reductions lower after adjusting for time trends differences...
Background: Influenza outbreaks affect millions of people every year and its surveillance is usually carried out in developed countries through a network sentinel doctors who report the weekly number Influenza-like Illness cases observed among visited patients. Monitoring forecasting evolution these supports decision makers designing effective interventions allocating resources to mitigate their impact.
The monitoring of seasonal influenza yearly epidemics remains one the main activity national syndromic surveillance systems. development internet-based tools has brought an innovative approach to by directly involving self-selected volunteers among general population reporting their health status on a weekly basis throughout flu season. In this paper, we explore how Influweb, system for surveillance, deployed in Italy since 2008 performed during three years from 2012 2015 comparison with...
Abstract Physical distancing measures are intended to mitigate the spread of COVID-19, even though their impact on social contacts and disease transmission remains unclear. Obtaining timely data contact patterns can help assess such protective measures. We conducted an online opt-in survey based targeted Facebook advertising campaigns across seven European countries (Belgium, France, Germany, Italy, Netherlands, Spain, United Kingdom (UK)) States (US), achieving a sample 53,708...
Abstract In the absence of medical treatment and vaccination, individual behaviours are key to controlling spread COVID-19. We developed a rapid response monitoring system through an online survey (the “COVID-19 Health Behavior Survey”). Participant recruitment takes places continuously via Facebook in eight countries (Belgium, France, Germany, Italy, Netherlands, Spain, United Kingdom, States). The collects information on people’s health, attitudes, behaviours, social contacts. this paper,...
Objectives We investigate changes in social contact patterns following the gradual introduction of non-pharmaceutical interventions and their implications for infection transmission early phase pandemic. Design, setting participants conducted an online survey based on targeted Facebook advertising campaigns across eight countries (Belgium, France, Germany, Italy, Netherlands, Spain, UK USA), achieving a sample 51 233 questionnaires period 13 March–12 April 2020. Poststratification weights...
Seasonal influenza surveillance is usually carried out by sentinel general practitioners (GPs) who compile weekly reports based on the number of influenza-like illness (ILI) clinical cases observed among visited patients. This traditional practice for generally presents several issues, such as a delay one week or more in releasing reports, population biases health-seeking behaviour, and lack common definition ILI case. On other hand, availability novel data streams has recently led to...
Surveys of the general population can provide crucial information for designing effective nonpharmaceutical interventions to tackle public health emergencies, such as COVID-19 pandemic. Yet, conducting surveys be difficult, especially when timely data collection is required. In this viewpoint paper, we discuss our experiences with using targeted Facebook advertising campaigns address these difficulties in relation We describe central advantages, challenges, and practical considerations. This...
Traditional surveillance of seasonal influenza is generally affected by reporting lags at least one week and continuous revisions the numbers initially released. As a consequence, forecasts are often limited time required to collect new accurate data. On other hand, availability novel data streams for disease detection can help in overcoming these issues capturing an additional signal that be used complement collected public health agencies. In this study, we investigate how combining both...
During the initial phases of vaccination campaign worldwide, nonpharmaceutical interventions (NPIs) remained pivotal in fight against COVID-19 pandemic. In this context, it is important to understand how arrival vaccines affected adoption NPIs. Indeed, some individuals might have seen start mass campaigns as end emergency and, a result, relaxed their COVID-safe behaviors, facilitating spread virus delicate epidemic phase such rollout.
Abstract This paper examines gender differentials in the international migration of professionals, and how this varies by country, industry, age, years experience. We leverage data from LinkedIn, largest professional networking website, to construct Immigrant Emigrant Gender Gap Indexes (iGGI eGGI). These indexes measure inflows potential outflows. The findings indicate that, among LinkedIn users, global population immigrant professionals is at parity. migrant majority‐female key destination...
Digital and computational demography explores in relation to the digital revolution – rapid technological improvements digitized information storage, power spread of internet mobile technologies since turn new millennium. We cover three ways which touches upon demography. First, we discuss how technologies, through their impacts on daily lives shifting individuals access information, communicate services, have implications for demographic outcomes linked health mortality, fertility family,...
Social scientists increasingly use Facebook's advertising platform for research, either in the form of conducting digital censuses general population, or recruiting participants survey research.Both approaches depend on reliability data that Facebook provides about its users, but little is known how reliable these are.We address this gap a large-scale, cross-national online (N = 137,224), which we compare self-reported and Facebook-classified demographic information (sex, age, region...
Timely, accurate, and comparative data on human mobility is of paramount importance for epidemic preparedness response, but generally not available or easily accessible. Mobile phone metadata, typically in the form Call Detail Records (CDRs), represents a powerful source information movements at an unprecedented scale. In this work, we investigate potential benefits harnessing aggregated CDR-derived to predict 2015-2016 Zika virus (ZIKV) outbreak Colombia, when compared other traditional...
Abstract Social scientists increasingly use Facebook’s advertising platform for research, either in the form of conducting digital censuses general population, or recruiting participants survey research. Both approaches depend on accuracy data that Facebook provides about its users, but little is known how accurate these are. We address this gap a large-scale, cross-national online (N = 137,224), which we compare self-reported and Facebook-classified demographic information (sex, age region...
Non-pharmaceutical interventions have been implemented worldwide to curb the spread of COVID-19. However, effectiveness such governmental measures in reducing mortality burden remains a key question scientific interest and public debate. In this study, we leverage digital mobility data assess effects reduced human on excess mortality, focusing regional England Wales between February August 2020. We estimate robust association reductions lower after adjusting for time trends differences...