ReviewFrontiers in public health2016
Toward Standardizing a Lexicon of Infectious Disease Modeling Terms.
Review in Frontiers in public health, 2016. 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, 27 citations in OpenAlex.
- Assessing Public Health Capacity for Infectious Disease Modeling: A Qualitative Study of State and Local Agencies.International journal of environmental research and public health · 2025Article
- Scoping Review of Japanese Encephalitis Virus Transmission Models.Transboundary and emerging diseases · 2025Article
- An inaugural forum on epidemiological modeling for public health stakeholders in Arizona.Frontiers in public health · 2024Article
- Mapping precision public health definitions, terminology and applications: a scoping review protocol.BMJ open · 2022Article
- A meta-epidemiological assessment of transparency indicators of infectious disease models.PloS one · 2022Article
- Shrinkage in serial intervals across transmission generations of COVID-19.Journal of theoretical biology · 2021Article
- Knowledge brokering on infectious diseases for public health.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2021Article
- Ten years of Pan-InfORM: modelling research for public health in Canada.AIMS public health · 2021Review
- Epidemiological Parameters of COVID-19: Case Series Study.Journal of medical Internet research · 2020Article
- Notes From the Field: Creating a Typology of Childhood Obesity Intervention Strategies.Evaluation & the health professions · 2020Article
- Force of infection of Middle East respiratory syndrome in dromedary camels in Kenya.Epidemiology and infection · 2019Article
- From Immunologically Archaic to Neoteric Glycovaccines.Vaccines · 2017Review
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 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Disease modeling is increasingly being used to evaluate the effect of health intervention strategies, particularly for infectious diseases. However, the utility and application of such models are hampered by the inconsistent use of infectious disease modeling terms between and within disciplines. We sought to standardize the lexicon of infectious disease modeling terms and develop a glossary of terms commonly used in describing models' assumptions, parameters, variables, and outcomes. We combined a comprehensive literature review of relevant terms with an online forum discussion in a virtual community of practice, mod4PH (Modeling for Public Health). Using a convergent discussion process and consensus amongst the members of mod4PH, a glossary of terms was developed as an online resource. We anticipate that the glossary will improve inter- and intradisciplinary communication and will result in a greater uptake and understanding of disease modeling outcomes in heath policy decision-making. We highlight the role of the mod4PH community of practice and the methodologies used in this endeavor to link theory, policy, and practice in the public health domain.
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.