ArticlePLoS computational biology2021
Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Impacts of COVID-19 mobility-restricting policies and perceived COVID-19 risks on household unmet medical needs in Nigeria: a difference-in-differences analysis.BMC health services research · 2026Article
- An intersectionality-based policy analysis of COVID-19 measures and women informal food vendors in Kisumu, Kenya.PloS one · 2026Article
- Optimal algorithms for controlling infectious diseases in real time using noisy infection data.PLoS computational biology · 2025Article
- Comparative evaluation of behavioral epidemic models using COVID-19 data.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Human-centred artificial intelligence for mobile health sensing: challenges and opportunities.Royal Society open science · 2023Review
- How contact patterns during the COVID-19 pandemic are related to pre-pandemic contact patterns and mobility trends.BMC infectious diseases · 2023Article
- The lockdown and vaccination distribution in Thailand's COVID-19 epidemic: A model study.Infectious Disease Modelling · 2023Article
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Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
A mathematical model for the COVID-19 pandemic spread, which integrates age-structured Susceptible-Exposed-Infected-Recovered-Deceased dynamics with real mobile phone data accounting for the population mobility, is presented. The dynamical model adjustment is performed via Approximate Bayesian Computation. Optimal lockdown and exit strategies are determined based on nonlinear model predictive control, constrained to public-health and socio-economic factors. Through an extensive computational validation of the methodology, it is shown that it is possible to compute robust exit strategies with realistic reduced mobility values to inform public policy making, and we exemplify the applicability of the methodology using datasets from England and France.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.