Evidence map›Paper›PMID 35197536›Full record

ArticleScientific reports2022

Estimating the potential for global dissemination of pandemic pathogens using the global airline network and healthcare development indices.

Margaux M I Meslé, Roberto Vivancos, Ian M Hall, Robert M Christley, Steve Leach, Jonathan M Read

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Increased outbreaks of monkeypox highlight gaps in actual disease burden in Sub-Saharan Africa and in animal reservoirs.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    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

6 authors.

Margaux M I MesléNational Institute for Health Research, Health Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool, Institute of Infection and Global Health, The University of Liverpool, Waterhouse Building (2nd Floor, Block F), 1-5 Brownlow Street, Liverpool, L69 3GL, UK.
Roberto VivancosNational Institute for Health Research, Health Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool, Institute of Infection and Global Health, The University of Liverpool, Waterhouse Building (2nd Floor, Block F), 1-5 Brownlow Street, Liverpool, L69 3GL, UK.
Ian M HallNational Institute for Health Research, Health Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool, Institute of Infection and Global Health, The University of Liverpool, Waterhouse Building (2nd Floor, Block F), 1-5 Brownlow Street, Liverpool, L69 3GL, UK.
Robert M ChristleyNational Institute for Health Research, Health Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool, Institute of Infection and Global Health, The University of Liverpool, Waterhouse Building (2nd Floor, Block F), 1-5 Brownlow Street, Liverpool, L69 3GL, UK.
Steve LeachNational Institute for Health Research, Health Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool, Institute of Infection and Global Health, The University of Liverpool, Waterhouse Building (2nd Floor, Block F), 1-5 Brownlow Street, Liverpool, L69 3GL, UK.
Jonathan M ReadNational Institute for Health Research, Health Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool, Institute of Infection and Global Health, The University of Liverpool, Waterhouse Building (2nd Floor, Block F), 1-5 Brownlow Street, Liverpool, L69 3GL, UK. jonathan.read@lancaster.ac.uk.

Funding

Human mobility models to forecast disease dynamics and the effectiveness of public health interventionsR01AI160780 · NIAID · JOHNS HOPKINS UNIVERSITY · PI CUMMINGS, DEREK A, WESOLOWSKI, AMY · 2021 to 2025
$3.3M
Department of HealthMedical Research Council MR/V038613/1NIAID NIH HHS R01 AI160780NIH HHS R01AI160780World Health Organization 001
6 · The paper itself

Abstract

Pandemics have the potential to incur significant health and economic impacts, and can reach a large number of countries from their origin within weeks. Early identification and containment of a newly emerged pandemic within the source country is key for minimising global impact. To identify a country's potential to control and contain a pathogen with pandemic potential, we compared the quality of a country's healthcare system against its global airline connectivity. Healthcare development was determined using three multi-factorial indices, while detailed airline passenger data was used to identify the global connectivity of all countries. Proximities of countries to a putative 'Worst Case Scenario' (extreme high-connectivity and low-healthcare development) were calculated. We found a positive relationship between a country's connectivity and healthcare metrics. We also identified countries that potentially pose the greatest risk for pandemic dissemination, notably Dominican Republic, India and Pakistan. China and Mexico, both sources of recent influenza and coronavirus pandemics were also identified as among the highest risk countries. Collectively, lower-middle and upper-middle income countries represented the greatest risk, while high income countries represented the lowest risk. Our analysis represents an alternative approach to identify countries where increased within-country disease surveillance and pandemic preparedness may benefit global health.

Indexed as

COVID-19Global HealthPandemicsDelivery of Health CareHumansInfluenza, HumanSARS-CoV-2

Identifiers

PMID35197536
PMCPMC8866520

What OpenQuestion holds

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LicenceCC BY
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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.