Vittoria Colizza
Biographic Data
| ID | 7753478 |
|---|---|
| NAME | Vittoria Colizza |
| GIVEN NAMES | Vittoria |
| FAMILY NAME | Colizza |
| SIGNATURE | COLIZZA V |
| AFFILIATIONS | Inserm |
| ORCID | 0000-0002-2113-2374 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Assessing dengue knowledge, attitudes and preventive practices in France and Italy
The dengue virus, transmitted by Aedes mosquitoes, causes an estimated 100–390 million infections annually worldwide. With no treatment available, mitigation and prevention involve reducing mosquito breeding and limiting feeding opportunities. Due to changing climate conditions, Aedes mosquitoes are increasingly established in Europe causing more local cases. Thus, understanding population knowledge, attitudes, and practices in areas where dengue…
Are People Optimistically Biased about the Risk of Covid-19 Infection? Lessons from the First Wave of the Pandemic in Europe
Unrealistic optimism, the underestimation of one's risk of experiencing harm, has been investigated extensively to understand better and predict behavioural responses to health threats. Prior to the COVID-19 pandemic, a relative dearth of research existed in this domain regarding epidemics, which is surprising considering that this optimistic bias has been associated with a lack of engagement in protective behaviours critical in fighting twenty-f…
Preparedness and vulnerability of African countries against importations of Covid-19
Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the Covid-19 epidemic in France under lockdown
Background: On March 17, 2020, French authorities implemented a nationwide lockdown to respond to the COVID-19 epidemic and curb the surge of patients requiring critical care. Assessing the effect of lockdown on individual displacements is essential to quantify achievable mobility reductions and identify the factors driving the changes in social dynamics that affected viral diffusion. We aimed to use mobile phone data to study how mobility in Fra…
Mobile phone data for informing public health actions across the Covid-19 pandemic life cycle
This paper describes how mobile phone data can guide government and public\nhealth authorities in determining the best course of action to control the\nCOVID-19 pandemic and in assessing the effectiveness of control measures such\nas physical distancing. It identifies key gaps and reasons why this kind of\ndata is only scarcely used, although their value in similar epidemics has\nproven in a number of use cases. It presents ways to overcome these…
Determinants and risk factors of gastroenteritis in the general population, a web-based cohort between 2014 and 2017 in France
Having a better knowledge of AGE determinants will be useful to adapt public health prevention messages
Factors associated with influenza-like-illness
This ILI risk factors analysis confirms and further completes the list of factors observed through traditional surveillance systems. It indicates that crowdsourced cohorts are effective to study ILI determinants at the population level. These findings could be used to adapt influenza prevention messages at the population level to reduce the spread of the disease
First nationwide web-based surveillance system for influenza-like illness in pregnant women
Despite small sample size and lack of representativeness, the retention rate was high, suggesting that pregnant women are prone to adhere to a longitudinal follow-up of their health status via the Internet
The representativeness of a European multi-center network for influenza-like-illness participatory surveillance
Existing demographic and national datasets allowed the quantification of the participation biases of a large cohort for influenza-like-illness surveillance in the general population. Significant differences were found between Influenzanet participants and the general population. The quantified biases need to be taken into account in the analysis of Influenzanet epidemiological studies and provide indications on populations groups that should be t…
Multiscale mobility networks and the spatial spreading of infectious diseases
Among the realistic ingredients to be considered in the computational modeling of infectious diseases, human mobility represents a crucial challenge both on the theoretical side and in view of the limited availability of empirical data. To study the interplay between short-scale commuting flows and long-range airline traffic in shaping the spatiotemporal pattern of a global epidemic we ( i ) analyze mobility data from 29 countries around the worl…
No prominent works on this page.
Multiscale mobility networks and the spatial spreading of infectious diseases
Among the realistic ingredients to be considered in the computational modeling of infectious diseases, human mobility represents a crucial challenge both on the theoretical side and in view of the limited availability of empirical data. To study the interplay between short-scale commuting flows and long-range airline traffic in shaping the spatiotemporal pattern of a global epidemic we ( i ) analyze mobility data from 29 countries around the worl…
The representativeness of a European multi-center network for influenza-like-illness participatory surveillance
Existing demographic and national datasets allowed the quantification of the participation biases of a large cohort for influenza-like-illness surveillance in the general population. Significant differences were found between Influenzanet participants and the general population. The quantified biases need to be taken into account in the analysis of Influenzanet epidemiological studies and provide indications on populations groups that should be t…
First nationwide web-based surveillance system for influenza-like illness in pregnant women
Despite small sample size and lack of representativeness, the retention rate was high, suggesting that pregnant women are prone to adhere to a longitudinal follow-up of their health status via the Internet
Factors associated with influenza-like-illness
This ILI risk factors analysis confirms and further completes the list of factors observed through traditional surveillance systems. It indicates that crowdsourced cohorts are effective to study ILI determinants at the population level. These findings could be used to adapt influenza prevention messages at the population level to reduce the spread of the disease
Preparedness and vulnerability of African countries against importations of Covid-19
Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the Covid-19 epidemic in France under lockdown
Background: On March 17, 2020, French authorities implemented a nationwide lockdown to respond to the COVID-19 epidemic and curb the surge of patients requiring critical care. Assessing the effect of lockdown on individual displacements is essential to quantify achievable mobility reductions and identify the factors driving the changes in social dynamics that affected viral diffusion. We aimed to use mobile phone data to study how mobility in Fra…
Mobile phone data for informing public health actions across the Covid-19 pandemic life cycle
This paper describes how mobile phone data can guide government and public\nhealth authorities in determining the best course of action to control the\nCOVID-19 pandemic and in assessing the effectiveness of control measures such\nas physical distancing. It identifies key gaps and reasons why this kind of\ndata is only scarcely used, although their value in similar epidemics has\nproven in a number of use cases. It presents ways to overcome these…
Determinants and risk factors of gastroenteritis in the general population, a web-based cohort between 2014 and 2017 in France
Having a better knowledge of AGE determinants will be useful to adapt public health prevention messages
Are People Optimistically Biased about the Risk of Covid-19 Infection? Lessons from the First Wave of the Pandemic in Europe
Unrealistic optimism, the underestimation of one's risk of experiencing harm, has been investigated extensively to understand better and predict behavioural responses to health threats. Prior to the COVID-19 pandemic, a relative dearth of research existed in this domain regarding epidemics, which is surprising considering that this optimistic bias has been associated with a lack of engagement in protective behaviours critical in fighting twenty-f…
Assessing dengue knowledge, attitudes and preventive practices in France and Italy
The dengue virus, transmitted by Aedes mosquitoes, causes an estimated 100–390 million infections annually worldwide. With no treatment available, mitigation and prevention involve reducing mosquito breeding and limiting feeding opportunities. Due to changing climate conditions, Aedes mosquitoes are increasingly established in Europe causing more local cases. Thus, understanding population knowledge, attitudes, and practices in areas where dengue…
Medicine (9 works) · Demography (5 works) · Environmental health (5 works) · Geography (5 works) · Population (5 works) · COVID-19 epidemiological studies (4 works) · Demography (4 works) · Public health (4 works) · Biostatistics (3 works) · Coronavirus disease 2019 (COVID-19) (3 works)