ReviewPLoS pathogens2020
Disentangling the dynamical underpinnings of differences in SARS-CoV-2 pathology using within-host ecological models.
Review in PLoS pathogens, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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
10 citing papers in PubMed.
- Spatial Immune Model of Alveolar Lung Infection (SIMALI) Identifies Structural Determinants of Lung Inflammation.Research square · 2026Article
- Challenges for the effectiveness of infectious disease interventions during global change.Communications health · 2026Article
- Comparison of plasma mitochondrial DNA copy number in asymptomatic and symptomatic COVID-19 patients.Frontiers in microbiology · 2023Article
- Article
- Why do some coronaviruses become pandemic threats when others do not?PLoS biology · 2022Article
- Therapeutic potential of induced iron depletion using iron chelators in Covid-19.Saudi journal of biological sciences · 2022Review
- The evolution of powerful yet perilous immune systems.Trends in immunology · 2022Review
- Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection.PLoS computational biology · 2021Article
- SARS-CoV-2: Cross-scale Insights from Ecology and Evolution.Trends in microbiology · 2021Review
- Scenario analysis of COVID-19 transmission dynamics in Malaysia with the possibility of reinfection and limited medical resources scenarios.Computers in biology and medicine · 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
Health outcomes following infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) are remarkably variable. The way the virus spreads inside hosts, and how this spread interacts with host immunity and physiology, is likely to determine variation in health outcomes. Decades of data and dynamical analyses of how other viruses spread and interact with host cells could shed light on SARS-CoV-2 within-host trajectories. We review how common axes of variation in within-host dynamics and emergent pathology (such as age and sex) might be combined with ecological principles to understand the case of SARS-CoV-2. We highlight pitfalls in application of existing theoretical frameworks relevant to the complexity of the within-host context and frame the discussion in terms of growing knowledge of the biology of SARS-CoV-2. Viewing health outcomes for SARS-CoV-2 through the lens of ecological models underscores the value of repeated measures on individuals, especially since many lines of evidence suggest important contingence on trajectory.
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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.