Evidence map›Paper›PMID 34362947›Full record

ArticleScientific reports2021

Agent-based analysis of contagion events according to sourcing locations.

Mijat Kustudic, Ben Niu, Qianying Liu

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mijat KustudicCollege of Management, Shenzhen University, Shenzhen, 518060, China.
Ben NiuCollege of Management, Shenzhen University, Shenzhen, 518060, China. drniuben@gmail.com.
Qianying LiuCollege of Management, Shenzhen University, Shenzhen, 518060, China.

Funding

Guangdong Province Educational Science Plan 2019 2019JKCY010Guangdong Province Postgraduate Education Innovation Research Project 2019SFKC46Guangdong Province Soft Science Project 2019A101002075Key Research Foundation of Higher Education of Guangdong Provincial Education Bureau 2019KZDXM030Natural Science Foundation of Guangdong Province 2020A1515010749The Natural Science Foundation of China 71971143
6 · The paper itself

Abstract

The first human infected with the Covid-19 virus was traced to a seafood market in Wuhan, China. Research shows that there are comparable types of viruses found in different and mutually distant areas. This raises several questions: what if the virus originated in another location? How will future waves of epidemics behave if they originate from different locations with a smaller/larger population than Wuhan? To explore these questions, we implement an agent-based model within fractal cities. Cities radiate gravitational social attraction based on their Zipfian population. The probability and predictability of contagion events are analyzed by examining fractal dimensions and lacunarity. Results show that weak gravitational forces of small locations help dissipate infections across country quicker if the pathogen had originated from that location. Gravitational forces of large cities help contain infections within them if they are the starting locations for the pathogen. Greater connectedness and symmetry allow for a more predictable epidemic outcome since there are no obstructions to spreading. To test our hypothesis, we implement datasets from two countries, Sierra Leone and Liberia, and two diseases, Ebola and Covid-19, and obtain the same results.

Indexed as

ChinaCitiesCOVID-19Disease OutbreaksEpidemicsFractalsHumansLiberiaSARS-CoV-2Sierra Leone

Identifiers

PMID34362947
PMCPMC8346593

What OpenQuestion holds

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Registered trials

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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.