Daniela Paolotti
Biographic Data
| ID | 6175165 |
|---|---|
| NAME | Daniela Paolotti |
| GIVEN NAMES | Daniela |
| FAMILY NAME | Paolotti |
| SIGNATURE | PAOLOTTI D |
| AFFILIATIONS | Institute for Scientific Interchange |
| ORCID | 0000-0003-1356-3470 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| 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…
Exploring influenza vaccination determinants through digital participatory surveillance
Our study found that individuals living with minors and those relying on public transportation have lower odds of being vaccinated, despite having a higher documented risk of respiratory virus exposure. These findings highlight the importance of continued public health efforts targeting vulnerable groups and raising awareness about the risks of forgoing vaccination. The complex interplay of socioeconomic, demographic, and public health context si…
Impact of tiered measures on social contact and mixing patterns of in Italy during the second wave of Covid-19
The progressive restriction tiers implemented in Italy reduced the reproduction number, with stricter interventions associated with higher reductions. Readily collected contact data can inform the implementation of mitigation measures at the national level in epidemic emergencies to come
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…
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…
On the usefulness of ontologies in epidemiology research and practice
Epidemiology research is a truly multidis-ciplinary subject, relying on areas of knowledge as diverse as medicine, biology, statistics, sociology and geography.1 The
Internet-based surveillance of Influenza-like-illness in the UK during the 2009 H1N1 influenza pandemic
Internet-based monitoring of ILI can capture the trends in case numbers if appropriate weighting is used to correct for differential response. The overall level of incidence is, however, difficult to measure. Internet-based systems may be a useful adjunct to existing ILI surveillance systems as they capture cases that do not necessarily contact health care. However, further research is required before they can be used to accurately assess the abs…
No prominent works on this page.
Internet-based surveillance of Influenza-like-illness in the UK during the 2009 H1N1 influenza pandemic
Internet-based monitoring of ILI can capture the trends in case numbers if appropriate weighting is used to correct for differential response. The overall level of incidence is, however, difficult to measure. Internet-based systems may be a useful adjunct to existing ILI surveillance systems as they capture cases that do not necessarily contact health care. However, further research is required before they can be used to accurately assess the abs…
On the usefulness of ontologies in epidemiology research and practice
Epidemiology research is a truly multidis-ciplinary subject, relying on areas of knowledge as diverse as medicine, biology, statistics, sociology and geography.1 The
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…
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…
Impact of tiered measures on social contact and mixing patterns of in Italy during the second wave of Covid-19
The progressive restriction tiers implemented in Italy reduced the reproduction number, with stricter interventions associated with higher reductions. Readily collected contact data can inform the implementation of mitigation measures at the national level in epidemic emergencies to come
Exploring influenza vaccination determinants through digital participatory surveillance
Our study found that individuals living with minors and those relying on public transportation have lower odds of being vaccinated, despite having a higher documented risk of respiratory virus exposure. These findings highlight the importance of continued public health efforts targeting vulnerable groups and raising awareness about the risks of forgoing vaccination. The complex interplay of socioeconomic, demographic, and public health context si…
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 (6 works) · Biostatistics (4 works) · Environmental health (4 works) · Epidemiology (4 works) · Public health (4 works) · Coronavirus disease 2019 (COVID-19 (3 works) · Data-Driven Disease Surveillance (3 works) · Disease (3 works) · Infectious disease (medical specialty (3 works) · Influenza Virus Research Studies (3 works)