| year | journal | title | author | pubid |
|---|---|---|---|---|
| 2024 | The Lancet | Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the … | AE Schumacher, HH Kyu, A Aali, C Abbafati, J Abbas, ... | 8k81kl-MbHgC |
| 2024 | The Lancet | Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021 | NV Bhattacharjee, AE Schumacher, A Aali, YH Abate, R Abbasgholizadeh, ... | 5nxA0vEk-isC |
| 2024 | BMC public health | The state of health in the European Union (EU-27) in 2019: a systematic analysis for the Global Burden of Disease study 2019 | JV Santos, A Padron-Monedero, B Bikbov, DA Grad, D Plass, EA Mechili, ... | kNdYIx-mwKoC |
| 2024 | CAS E-Forum | Loss Modelling from First Principles | P Parodi, D Thrumble, P Watson, Z Ji, A Wang, I Bhatia, J Lees, S Mealy, ... | UebtZRa9Y70C |
| 2023 | Epidemiology & Infection | Burden of infectious disease studies in Europe and the United Kingdom: a review of methodological design choices | P Charalampous, JA Haagsma, LS Jakobsen, V Gorasso, I Noguer, ... | ufrVoPGSRksC |
| 2023 | Archives of Public Health | Burden of disease attributable to risk factors in European countries: a scoping literature review | V Gorasso, JN Morgado, P Charalampous, SM Pires, JA Haagsma, ... | 0EnyYjriUFMC |
| 2022 | European Journal of Public Health | Burden of non-communicable disease studies in Europe: a systematic review of data sources and methodological choices | P Charalampous, V Gorasso, D Plass, SM Pires, E Von Der Lippe, ... | W7OEmFMy1HYC |
| 2022 | BMC public health | Methodological considerations in injury burden of disease studies across Europe: a systematic literature review | P Charalampous, E Pallari, V Gorasso, E Von der Lippe, ... | WF5omc3nYNoC |
| 2021 | European Journal of Public Health | The state of health in the European Union in 2019 | J Vasco Santos, A Padron Monedero, B Bikbov, DA Grad, D Plass, ... | eQOLeE2rZwMC |
| 2021 | European Journal of Public Health | The state of health in the European Union in 2019 | JV Santos, AP Monedero, B Bikbov, DA Grad, D Plass, EA Mechili, ... | YsMSGLbcyi4C |
Who am I?
STATISTICIAN | ACTUARY | DATA SCIENTIST
I’ve always loved maths and science, I meant to be a Veterinary, I wanted to do ballet classes, teach gymnastic, be an economist, a psychologist… Many years passed since I started the journey of my career as an investigator, it turned out to be an everyday challenge with tasks to solve, and most importantly a continuous learning path. Each day brings with it a fresh set of challenges to solve and opportunities for growth. It’s a path marked by curiosity, resilience, and a relentless pursuit of excellence—a journey that I’m grateful to be on.
Coming soon!
Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R
🔗 https://bookdown.org/fede_gazzelloni/hmsidR/
Editor CRC Press - Chapman & Hall
Discover the fascinating world of health metrics and infectious disease analysis with our upcoming manual and textbook! Whether you’re new to the field or a seasoned practitioner, this resource offers valuable insights into key concepts and practical applications.
Learn about essential public health metrics like DALYs, YLL, and YLD, which provide crucial indicators of a population’s health status. Dive into recent infectious disease outbreaks, including the impact of Covid19, and explore the most affected locations.
With a mix of explanatory text and hands-on R code examples, you’ll become proficient in analyzing real-world case studies. We’ll compare health metrics across different locations and test predictive models using tidymodels and INLA. Plus, you’ll discover the power of spatial visualization techniques using ggplot2, leaflet, sf, rgdal, and other popular R packages. Whether you’re a beginner or an advanced practitioner, this book is designed to enhance your understanding and skills in health data analysis.
Ideal for early-stage practitioners and graduate students in public health, this resource is your guide to unlocking the full potential of R for spatial and health metrics analysis.
List of my workshops
CDC Centers for Disease Control
Data Carpentry Genomics
Date: 2024-06-10 to 2024-06-13 | Centers for Disease Control
Website: https://fgazzelloni.github.io/2024-06-10-cdc-online/
EtherPad: https://pad.carpentries.org/2024-06-10-cdc-online
University of Washington
Network of the National Library of Medicine (NNLM) Region 5 Library Carpentry
Date: March 19-21 2024 | Network of the National Library of Medicine (NNLM)
Website: https://nnlm-ncds.github.io/2024-03-19-nnlm-uw-online/
EtherPad: https://pad.carpentries.org/2024-03-19-nnlm-uw-online
Helmholtz Information & Data Science Academy
Software Carpentry (Shell, Git, and programming with R)
Date: February 12-13 2024 | Helmholtz Online
Website: https://macrobiotus.github.io/2024-02-12-helmholtz-online/
EtherPad: https://pad.carpentries.org/2024-02-12-helmholtz-online
List of my talks
ShinyConf2024 - Shiny4Good Talk
Date: April 2024
Abstract: This talk will offer insights gained from active participation in the Data Science Learning Community through participation in Shiny book clubs. By exploring the unique dynamics of these forums, I will highlight the collaborative and knowledge-sharing atmosphere that the Data Science Learning Community cultivates. The talk will draw examples from the book clubs to illustrate how practical discussions and exercises amplify the learning experience.
#beginner #Shiny4Good #shinyapp #showcase #rstats #datascience
List of my R-Ladies talks
Sharing the mission with the open source community
R-Ladies DC
Date: September 2022
Abstract: This tutorial is meant for people new to spatial analysis and modeling with RStudio but comfortable in making simple data visualization with ggplot2. In this video, you will learn how to make a map with RStudio, and how to use data modeling for making spatial model analysis.
Material: It is helpful to have the following R packages installed beforehand: {tidyverse}, {ggthemes}, {maptools}, {ggmap}, {sf}, {spocc}, {dismo}, {SpatialEpi}, and {oregonfrogs} dataset from
remotes::install_github("fgazzelloni/oregonfrogs")
- GitHub Repo: https://github.com/Fgazzelloni/How-to-Spatial-Modeling-with-R
- Book: https://fgazzelloni.github.io/How-to-Spatial-Modeling-with-R
R-Ladies NYC & R-Ladies Rome
Date: April 2023
Abstract: In this video, you will learn about Modeling infectious diseases with R using both deterministic and Bayesian SIR model methods. We will explore both Deterministic and Bayesian SIR model methods, and learn how to use the well-known SIR model to understand how epidemics unfold and how to prevent their spread.
This video is perfect for students of science, healthcare professionals, or anyone who wants to gain a deeper understanding of how to use R for Modeling infectious diseases.
Agenda:
- Introduction presentation of the Chapters and R-Ladies Global action
- SIR model with R - quick intro assessment (Speaker Federica Gazzelloni)
- Bayesian workflow for disease transmission (Speaker Jacqueline Buros)
- Q&A session
Material:
- GitHub Repo: https://github.com/Fgazzelloni/sir-model-with-R/
R-Ladies Cambridge
Date: March 2024
Abstract: In this video, you’ll learn how to use ggplot2 to replicate one of the ongoing #DuboisChallenge2024 plates. The original plates are part of W.E.B. Du Bois’s legacy from back in 1900, showcased at the Paris Exposition. I’ll be using modern tools such as R. We’ll explore the colors used in the plates and delve into the intricacies of the challenge by understanding the perspective of hand-made graphs in the ‘Duboisian’ style.
Material:
- GitHub Repo: https://github.com/Fgazzelloni/R-Ladies-Cambridge-Dataviz-lunch-Replicating-Du-Bois-with-R
- WebSite Collection: https://fgazzelloni.quarto.pub/unlocking-the-power-of-data-visualization-with-r/duboischallenge/
R-Ladies NYC & R-Ladies Rome
Date: June 2024
Abstract: In this video, you’ll learn how to make a website in R with Quarto. We’ll explore the basics of Quarto and how to publish a website. The tutorial is designed to be accessible to beginners, with no prior experience required. By the end of the session, you will have a fully functional website that you can use to showcase your projects and achievements.
Material:
- Github repository: https://github.com/Fgazzelloni/building_a_website_in_r
- Final version of the Website: https://fgazzelloni.quarto.pub/my-website-in-r–quarto/
Resources:
- Quarto Docs: https://quarto.org/docs/websites/
- CSS customization for your website: https://www.w3schools.com/css/
- Background image (change - “pink” with your favorite pick): https://www.pexels.com/search/pink/
List of my papers