Evidence map›Paper›PMID 26474512›Full record

ReviewMathematical biosciences2015

From within host dynamics to the epidemiology of infectious disease: Scientific overview and challenges.

Juan B Gutierrez, Mary R Galinski, Stephen Cantrell, Eberhard O Voit

Abstract readEditorialReview
In one paragraph

Review in Mathematical biosciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. What's next for computational systems biology?Frontiers in systems biology · 2023
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Metabolic modeling helps interpret transcriptomic changes during malaria.Biochimica et biophysica acta. Molecular basis of disease · 2018
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. 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

4 authors.

Juan B GutierrezDepartment of Mathematics, Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA . Electronic address: jgutierr@uga.edu.
Mary R GalinskiEmory University School of Medicine, Division of Infectious Diseases, Emory Vaccine Center, Yerkes National Primate Research Center, Emory University, 954 Gatewood Rd, Atlanta, GA 30329, USA . Electronic address: mary.galinski@emory.edu.
Stephen CantrellDepartment of Mathematics, University of Miami, Coral Gables, FL 33124, USA . Electronic address: rsc@math.miami.edu.
Eberhard O VoitDepartment of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive, Suite 4103, Atlanta, GA 30332-0535, USA . Electronic address: eberhard.voit@bme.gatech.edu.

Funding

Vector Biology Research and Integrated Vector Management For Malaria ControlU19AI089702 · NIAID · CAUCASECO SCIENTIFIC RESEARCH CENTER · PI HERRERA VALENCIA, SOCRATES · 2010 to 2016
$11.5M
NIAID NIH HHS HHSN272201200031CNIAID NIH HHS U19 AI089702NIAID NIH HHS U19AI089702PHS HHS HHSN272201200031C
6 · The paper itself

Abstract

Since their earliest days, humans have been struggling with infectious diseases. Caused by viruses, bacteria, protozoa, or even higher organisms like worms, these diseases depend critically on numerous intricate interactions between parasites and hosts, and while we have learned much about these interactions, many details are still obscure. It is evident that the combined host-parasite dynamics constitutes a complex system that involves components and processes at multiple scales of time, space, and biological organization. At one end of this hierarchy we know of individual molecules that play crucial roles for the survival of a parasite or for the response and survival of its host. At the other end, one realizes that the spread of infectious diseases by far exceeds specific locales and, due to today's easy travel of hosts carrying a multitude of organisms, can quickly reach global proportions. The community of mathematical modelers has been addressing specific aspects of infectious diseases for a long time. Most of these efforts have focused on one or two select scales of a multi-level disease and used quite different computational approaches. This restriction to a molecular, physiological, or epidemiological level was prudent, as it has produced solid pillars of a foundation from which it might eventually be possible to launch comprehensive, multi-scale modeling efforts that make full use of the recent advances in biology and, in particular, the various high-throughput methodologies accompanying the emerging -omics revolution. This special issue contains contributions from biologists and modelers, most of whom presented and discussed their work at the workshop From within Host Dynamics to the Epidemiology of Infectious Disease, which was held at the Mathematical Biosciences Institute at Ohio State University in April 2014. These contributions highlight some of the forays into a deeper understanding of the dynamics between parasites and their hosts, and the consequences of this dynamics for the spread and treatment of infectious diseases.

Indexed as

Host-Parasite InteractionsModels, TheoreticalCommunicable DiseasesHumansEpidemiologyHost–parasite interactionsInfectious diseasesMalariaModelingSystems biology

Identifiers

PMID26474512
PMCPMC4607538

What OpenQuestion holds

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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.