ReviewiScience2022
Mathematical models to study the biology of pathogens and the infectious diseases they cause.
Review in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 20 citations in OpenAlex.
- Modeling two-strain competition with reinfection: Mathematical analyses and epidemiological implications.Infectious Disease Modelling · 2026Article
- The Role of Mathematical Modelling in Predicting and Controlling Infectious Disease Outbreaks in Underserved Settings: A Systematic Review and Meta-Analysis.Public health challenges · 2025Review
- Optimal intervention design for tonsillitis transmission via compartmental modeling with stability analysis and control strategies.Scientific reports · 2025Article
- Modeling Microbial Community Networks: Methods and Tools for Studying Microbial Interactions.Microbial ecology · 2024Review
- Surveying membrane landscapes: a new look at the bacterial cell surface.Nature reviews. Microbiology · 2023Review
- Tensor-based insights into systems immunity and infectious disease.Trends in immunology · 2023Article
- Recent Progress in Spectroscopic Methods for the Detection of Foodborne Pathogenic Bacteria.Biosensors · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors at 9 institutions in 1 country.
Funding
Abstract
Mathematical models have many applications in infectious diseases: epidemiologists use them to forecast outbreaks and design containment strategies; systems biologists use them to study complex processes sustaining pathogens, from the metabolic networks empowering microbial cells to ecological networks in the microbiome that protects its host. Here, we (1) review important models relevant to infectious diseases, (2) draw parallels among models ranging widely in scale. We end by discussing a minimal set of information for a model to promote its use by others and to enable predictions that help us better fight pathogens and the diseases they cause.
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.