Evidence map›Paper›PMID 32215191›Full record

ArticleThe European physical journal. Special topics2017

Climate impact on spreading of airborne infectious diseases: Complex network based modeling of climate influences on influenza like illnesses.

Frank Brenner, Norbert Marwan, Peter Hoffmann

Open access · greenAbstract read
In one paragraph

Article in The European physical journal. Special topics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Bovine tuberculosis disturbs parasite functional trait composition in African buffalo.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  2. Article
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

3 authors at 1 institution in 1 country.

Frank BrennerPotsdam Institute for Climate Impact Research, Potsdam, Germany.ORCID 0000-0002-0058-4048
Norbert MarwanPotsdam Institute for Climate Impact Research, Potsdam, Germany.ORCID 0000-0003-1437-7039
Peter HoffmannPotsdam Institute for Climate Impact Research, Potsdam, Germany.
Potsdam Institute for Climate Impact Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study we combined a wide range of data sets to simulate the outbreak of an airborne infectious disease that is directly transmitted from human to human. The basis is a complex network whose structures are inspired by global air traffic data (from openflights.org) containing information about airports, airport locations, direct flight connections and airplane types. Disease spreading inside every node is realized with a Susceptible-Exposed-Infected-Recovered (SEIR) compartmental model. Disease transmission rates in our model are depending on the climate environment and therefore vary in time and from node to node. To implement the correlation between water vapor pressure and influenza transmission rate [J. Shaman, M. Kohn, Proc. Natl. Acad. Sci.

Identifiers

PMID32215191
PMCPMC7089514
OpenAlexW2625279182

What OpenQuestion holds

Textmetadata
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.