Evidence map›Paper›PMID 22387570›Full record

ReviewMathematical biosciences2012

Epidemiological models of Mycobacterium tuberculosis complex infections.

Cagri Ozcaglar, Amina Shabbeer, Scott L Vandenberg, Bülent Yener, Kristin P Bennett

Abstract readReview
In one paragraph

Review in Mathematical biosciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Pooled it
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  11. Article
  12. The WHO Global Tuberculosis 2021 Report - not so good news and turning the tide back to End TB.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Review
  13. Demographic Control Measure Implications of Tuberculosis Infection for Migrant Workers across Taiwan Regions.International journal of environmental research and public health · 2022
    Article
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  18. Targeting TB or MRSA in Norwegian municipalities during 'the refugee crisis' of 2015: a framework for priority setting in screening.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    Article
  19. Article
  20. Big Data's Role in Precision Public Health.Frontiers in public health · 2018
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Cagri OzcaglarComputer Science Department, Rensselaer Polytechnic Institute, Troy, NY, USA. ozcagc2@cs.rpi.edu
Amina Shabbeer
Scott L Vandenberg
Bülent Yener
Kristin P Bennett
Rensselaer Polytechnic Institute · USSiena College · US

Funding

Discovering hidden groups across tuberculosis patient and pathogen genotype dataR01LM009731 · NLM · RENSSELAER POLYTECHNIC INSTITUTE · PI BENNETT, KRISTIN P, YENER, BULENT · 2008 to 2011
$1.7M
NLM NIH HHS R01 LM009731NLM NIH HHS R01LM009731
6 · The paper itself

Abstract

The resurgence of tuberculosis in the 1990s and the emergence of drug-resistant tuberculosis in the first decade of the 21st century increased the importance of epidemiological models for the disease. Due to slow progression of tuberculosis, the transmission dynamics and its long-term effects can often be better observed and predicted using simulations of epidemiological models. This study provides a review of earlier study on modeling different aspects of tuberculosis dynamics. The models simulate tuberculosis transmission dynamics, treatment, drug resistance, control strategies for increasing compliance to treatment, HIV/TB co-infection, and patient groups. The models are based on various mathematical systems, such as systems of ordinary differential equations, simulation models, and Markov Chain Monte Carlo methods. The inferences from the models are justified by case studies and statistical analysis of TB patient datasets.

Indexed as

Models, BiologicalAntitubercular AgentsComputer SimulationDrug Resistance, Multiple, BacterialHIV InfectionsHumansMycobacterium tuberculosisTuberculosisAntitubercular Agents

Identifiers

PMID22387570
PMCPMC3330831
OpenAlexW2028824623

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.