Future directions in human mobility science

L Pappalardo, E Manley, V Sekara… - Nature computational …, 2023 - nature.com
We provide a brief review of human mobility science and present three key areas where we
expect to see substantial advancements. We start from the mind and discuss the need to …

Machine learning and algorithmic fairness in public and population health

V Mhasawade, Y Zhao, R Chunara - Nature Machine Intelligence, 2021 - nature.com
Until now, much of the work on machine learning and health has focused on processes
inside the hospital or clinic. However, this represents only a narrow set of tasks and …

Intensity and frequency of extreme novel epidemics

M Marani, GG Katul, WK Pan, AJ Parolari - Proceedings of the National …, 2021 - pnas.org
Observational knowledge of the epidemic intensity, defined as the number of deaths divided
by global population and epidemic duration, and of the rate of emergence of infectious …

Inferring the effectiveness of government interventions against COVID-19

JM Brauner, S Mindermann, M Sharma, D Johnston… - Science, 2021 - science.org
INTRODUCTION Governments across the world have implemented a wide range of
nonpharmaceutical interventions (NPIs) to mitigate the spread of severe acute respiratory …

The impact of vaccination on coronavirus disease 2019 (COVID-19) outbreaks in the United States

SM Moghadas, TN Vilches, K Zhang… - Clinical Infectious …, 2021 - academic.oup.com
Background Global vaccine development efforts have been accelerated in response to the
devastating coronavirus disease 2019 (COVID-19) pandemic. We evaluated the impact of a …

Ranking the effectiveness of worldwide COVID-19 government interventions

N Haug, L Geyrhofer, A Londei, E Dervic… - Nature human …, 2020 - nature.com
Assessing the effectiveness of non-pharmaceutical interventions (NPIs) to mitigate the
spread of SARS-CoV-2 is critical to inform future preparedness response plans. Here we …

[HTML][HTML] Changes in weight and nutritional habits in adults with obesity during the “lockdown” period caused by the COVID-19 virus emergency

M Pellegrini, V Ponzo, R Rosato, E Scumaci, I Goitre… - Nutrients, 2020 - mdpi.com
Our aim is evaluating the changes in weight and dietary habits in a sample of outpatients
with obesity after 1 month of enforced lockdown during the COVID-19 pandemic in Northern …

Covasim: an agent-based model of COVID-19 dynamics and interventions

CC Kerr, RM Stuart, D Mistry… - PLOS Computational …, 2021 - journals.plos.org
The COVID-19 pandemic has created an urgent need for models that can project epidemic
trends, explore intervention scenarios, and estimate resource needs. Here we describe the …

Lockdown for CoViD-2019 in Milan: What are the effects on air quality?

MC Collivignarelli, A Abbà, G Bertanza… - Science of the total …, 2020 - Elsevier
Based on the rapid spread of the CoViD-2019, a lockdown was declared in the whole
Northern Italy by the Government. The application of increasingly rigorous containment …

The implications of silent transmission for the control of COVID-19 outbreaks

SM Moghadas, MC Fitzpatrick, P Sah, A Pandey… - Proceedings of the …, 2020 - pnas.org
Since the emergence of coronavirus disease 2019 (COVID-19), unprecedented movement
restrictions and social distancing measures have been implemented worldwide. The …