ArticleApplied soft computing2021
A causal framework to determine the effectiveness of dynamic quarantine policy to mitigate COVID-19.
Article in Applied soft computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Estimating the causal impact of non-pharmaceutical interventions on COVID-19 spread in seven EU countries via machine learning.Scientific reports · 2025Article
- Serious Game Development for Public Health: Participatory Design Approach to COVID-19 Quarantine Policy Education.JMIR serious games · 2024Article
- Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques.Scientific reports · 2024Article
- Surveillance of the recurrence time of the effectiveness of national and region-level quarantines of COVID-19 pandemic in Chile.PloS one · 2024Article
- Heterogeneity within the Oregon Health Insurance Experiment: An application of causal forests.PloS one · 2024Article
- Article
- Interaction between travel restriction policies and the spread of COVID-19.Transport policy · 2023Article
- Application of machine learning techniques for predicting survival in ovarian cancer.BMC medical informatics and decision making · 2022Article
- An optimal control policy in fighting COVID-19 and infectious diseases.Applied soft computing · 2022Article
- Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile.Scientific reports · 2022Article
- On the role of data, statistics and decisions in a pandemic.Advances in statistical analysis : AStA : a journal of the German Statistical Society · 2022Article
- Social sentiment segregation: Evidence from Twitter and Google Trends in Chile during the COVID-19 dynamic quarantine strategy.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the start of the pandemic caused by the novel coronavirus, COVID-19, more than 106 million people have been infected and global deaths have surpassed 2.4 million. In Chile, the government restricted the activities and movement of people, organizations, and companies, under the concept of
Indexed as
Identifiers
What OpenQuestion holds
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.