Evidence map›Paper›PMID 28455531›Full record

ArticleScientific reports2017

Temporal Characteristics of the Chinese Aviation Network and their Effects on the Spread of Infectious Diseases.

Jianhong Mou, Chuchu Liu, Saran Chen, Ge Huang, Xin Lu

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jianhong MouCollege of Information System and Management, National University of Defense Technology, Changsha, 410073, China.
Chuchu LiuCollege of Information System and Management, National University of Defense Technology, Changsha, 410073, China.
Saran ChenCollege of Information System and Management, National University of Defense Technology, Changsha, 410073, China.
Ge HuangCollege of Information System and Management, National University of Defense Technology, Changsha, 410073, China.
Xin LuCollege of Information System and Management, National University of Defense Technology, Changsha, 410073, China. xin.lu@flowminder.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aviation transportation systems have developed rapidly in recent years and have become a focus for research on the modeling of epidemics. However, despite the number of studies on aggregated topological structures and their effects on the spread of disease, the temporal sequence of flights that connect different airports have not been examined. In this study, to analyze the temporal pattern of the Chinese Aviation Network (CAN), we obtain a time series of topological statistics through sliding the temporal CAN with an hourly time window. In addition, we build two types of Susceptible-Infectious (SI) spreading models to study the effects of linking sequence and temporal duration on the spread of diseases. The results reveal that the absence of links formed by flights without alternatives at dawn and night causes a significant decrease in the centralization of the network. The temporal sparsity of linking sequence slows down the spread of disease on CAN, and the duration of flights intensifies the sensitiveness of CAN to targeted infection. The results are of great significance for further understanding of the aviation network and the dynamic process, such as the propagation of delay.

Indexed as

AviationTransportation FacilitiesChinaCommunicable DiseasesDisease Transmission, InfectiousHumansModels, Statistical

Identifiers

PMID28455531
PMCPMC5430792

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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.