ArticleFrontiers in psychiatry2021
Vulnerability and Protective Factors for PTSD and Depression Symptoms Among Healthcare Workers During COVID-19: A Machine Learning Approach.
Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 28 citations in OpenAlex.
- Predicting longitudinal post-traumatic stress disorder symptoms using psychological measures and heart rate variability: a machine-learning approach.European journal of psychotraumatology · 2026Article
- Burnout, PTSD, and Medical Error: The Medico-Legal Implications of the Mental Health Crisis Among Frontline Healthcare Professionals During COVID-19.Medicina (Kaunas, Lithuania) · 2026Review
- Vulnerability and protective factors for PTSD in the academic community during the pandemic.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2026Article
- Machine learning in the analysis of mental health at work: a scoping review.Journal of occupational health · 2026Article
- Workers' Psychological Distress During the Early Months of the COVID-19 Pandemic in Brazil: A Cross-Sectional Study.Behavioral sciences (Basel, Switzerland) · 2025Article
- Addiction to ultra-processed foods as a mediator between psychological stress and emotional eating during the COVID-19 pandemic.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2024Article
- Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale COVID-19 outbreak: based on Adaboost model.BMC psychology · 2024Article
- Precision prevention in occupational health: a conceptual analysis and development of a unified understanding and an integrative framework.Frontiers in public health · 2024Article
- Machine learning applied to fMRI patterns of brain activation in response to mutilation pictures predicts PTSD symptoms.BMC psychiatry · 2023Article
- Systematic review of machine learning in PTSD studies for automated diagnosis evaluation.Npj mental health research · 2023Review
- The different impacts of COVID-19 on the mental health of distinct health care worker categories.Journal of health psychology · 2023Article
- ENACT study: What has helped health and social care workers maintain their mental well-being during the COVID-19 pandemic?Health & social care in the community · 2022Article
- Psychological Distress in South African Healthcare Workers Early in the COVID-19 Pandemic: An Analysis of Associations and Mitigating Factors.International journal of environmental research and public health · 2022Article
- The Fear of COVID-19: Gender Differences among Italian Health Volunteers.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.