Publications by Joseph Chadi Benoit Lemaitre

Challenges of COVID-19 Case Forecasting in the US, 2020-2021

Joseph Chadi Benoit Lemaitre, Pan Xu, Myungjin Kim, Shan Yu, Lei Gao, Weitong Zhang, Wei Cao, Xinyi Li

During the COVID-19 pandemic, forecasting COVID-19 trends to support planning and response was a priority for scientists and decision makers alike. In the United States, COVID-19 forecasting was coordinated by a large group of universities, companies, and ...

Public Library Science2024

Impact of SARS-CoV-2 vaccination of children ages 5-11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021-March 2022: A multi-model study

Joseph Chadi Benoit Lemaitre

Background The COVID-19 Scenario Modeling Hub convened nine modeling teams to project the impact of expanding SARS-CoV-2 vaccination to children aged 5-11 years on COVID-19 burden and resilience against variant strains. Methods Teams contributed state- and ...

2023

Epidemicity of cholera spread and the fate of infection control measures

Andrea Rinaldo, Lorenzo Mari, Joseph Chadi Benoit Lemaitre, Marino Gatto, Damiano Pasetto, Cristiano Trevisin

The fate of ongoing infectious disease outbreaks is predicted through reproduction numbers, defining the long-term establishment of the infection, and epidemicity indices, tackling the reactivity of the infectious pool to new contagions. Prognostic metrics ...

2022

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Joseph Chadi Benoit Lemaitre

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forec ...

National Academy of Sciences2022

Optimal control of the spatial allocation of COVID-19 vaccines: Italy as a case study

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Joseph Chadi Benoit Lemaitre, Marino Gatto, Damiano Pasetto, Mario Zanon

While campaigns of vaccination against SARS-CoV-2 are underway across the world, communities face the challenge of a fair and effective distribution of a limited supply of doses. Current vaccine allocation strategies are based on criteria such as age or ri ...

2022

A scenario modeling pipeline for COVID-19 emergency planning

Francisco Javier Perez Saez, Joseph Chadi Benoit Lemaitre

Coronavirus disease 2019 (COVID-19) has caused strain on health systems worldwide due to its high mortality rate and the large portion of cases requiring critical care and mechanical ventilation. During these uncertain times, public health decision makers, ...

Nature Portfolio2021

Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios - United States, April-September 2021

Francisco Javier Perez Saez, Joseph Chadi Benoit Lemaitre

CENTERS DISEASE CONTROL & PREVENTION2021

Modeling infectious disease dynamics towards informed public health interventions, with applications on COVID-19 and cholera

Joseph Chadi Benoit Lemaitre

Emerging and existing infectious diseases pose a constant threat to individuals and communities across the world. In many cases, the burden of these diseases is preventable through public health interventions. However, taking the right decisions and design ...

EPFL2021

Range of reproduction number estimates for COVID-19 spread

Andrea Rinaldo, Joseph Chadi Benoit Lemaitre

To monitor local and global COVID-19 outbreaks, and to plan containment measures, accessible and comprehensible decision-making tools need to be based on the growth rates of new confirmed infections, hospitalization or case fatality rates. Growth rates of ...

2021

Effect of specific non-pharmaceutical intervention policies on SARS-CoV-2 transmission in the counties of the United States

Joseph Chadi Benoit Lemaitre

Non-pharmaceutical interventions (NPIs) remain the only widely available tool for controlling the ongoing SARS-CoV-2 pandemic. We estimated weekly values of the effective basic reproductive number (R-eff) using a mechanistic metapopulation model and associ ...

Nature Research2021

Wastewater monitoring outperforms case numbers as a tool to track COVID-19 incidence dynamics when test positivity rates are high

Tamar Kohn, Joseph Chadi Benoit Lemaitre, Timothy R. Julian, Carola Bänziger, Xavier Fernandez Cassi, Federica Cariti, Alex Tunas Corzon

Wastewater-based epidemiology (WBE) has been shown to coincide with, or anticipate, confirmed COVID-19 case numbers. During periods with high test positivity rates, however, case numbers may be underreported, whereas wastewater does not suffer from this li ...

2021

Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland

Andrea Rinaldo, Francisco Javier Perez Saez, Joseph Chadi Benoit Lemaitre, Jacques Fellay

Following the rapid dissemination of COVID-19 cases in Switzerland, large-scale non-pharmaceutical interventions (NPIs) were implemented by the cantons and the federal government between 28 February and 20 March 2020. Estimates of the impact of these inter ...

2020

Rainfall as a driver of epidemic cholera: Comparative model assessments of the effect of intra-seasonal precipitation events

Andrea Rinaldo, Francisco Javier Perez Saez, Joseph Chadi Benoit Lemaitre, Carla Sciarra, Damiano Pasetto

The correlation between cholera epidemics and climatic drivers, in particular seasonal tropical rainfall, has been studied in a variety of contexts owing to its documented relevance. Several mechanistic models of cholera transmission have included rainfall ...

2019

Near real-time forecasting for cholera decision making in Haiti after Hurricane Matthew

Flavio Finger, Andrea Rinaldo, Enrico Bertuzzo, Joseph Chadi Benoit Lemaitre, Damiano Pasetto

2018

Distributed Graph-based Convoy Control for Networked Intelligent Vehicles

Alcherio Martinoli, Milos Vasic, Joseph Chadi Benoit Lemaitre, Ali Marjovi

This paper presents an approach for formation control of multi-lane vehicular convoys in highways. We extend a Laplacian graph-based, distributed control law such that networked intelligent vehicles can join or leave the formation dynamically without jeopa ...

IEEE2015