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Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic

Overview of attention for article published in PLOS ONE, January 2011
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
40 news outlets
blogs
6 blogs
policy
3 policy sources
twitter
452 X users
video
1 YouTube creator

Citations

dimensions_citation
418 Dimensions

Readers on

mendeley
406 Mendeley
citeulike
4 CiteULike
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Title
Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic
Published in
PLOS ONE, January 2011
DOI 10.1371/journal.pone.0016591
Pubmed ID
Authors

Paolo Bajardi, Chiara Poletto, Jose J. Ramasco, Michele Tizzoni, Vittoria Colizza, Alessandro Vespignani

Abstract

After the emergence of the H1N1 influenza in 2009, some countries responded with travel-related controls during the early stage of the outbreak in an attempt to contain or slow down its international spread. These controls along with self-imposed travel limitations contributed to a decline of about 40% in international air traffic to/from Mexico following the international alert. However, no containment was achieved by such restrictions and the virus was able to reach pandemic proportions in a short time. When gauging the value and efficacy of mobility and travel restrictions it is crucial to rely on epidemic models that integrate the wide range of features characterizing human mobility and the many options available to public health organizations for responding to a pandemic. Here we present a comprehensive computational and theoretical study of the role of travel restrictions in halting and delaying pandemics by using a model that explicitly integrates air travel and short-range mobility data with high-resolution demographic data across the world and that is validated by the accumulation of data from the 2009 H1N1 pandemic. We explore alternative scenarios for the 2009 H1N1 pandemic by assessing the potential impact of mobility restrictions that vary with respect to their magnitude and their position in the pandemic timeline. We provide a quantitative discussion of the delay obtained by different mobility restrictions and the likelihood of containing outbreaks of infectious diseases at their source, confirming the limited value and feasibility of international travel restrictions. These results are rationalized in the theoretical framework characterizing the invasion dynamics of the epidemics at the metapopulation level.

X Demographics

X Demographics

The data shown below were collected from the profiles of 452 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 406 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Italy 3 <1%
Brazil 3 <1%
Germany 2 <1%
France 2 <1%
Canada 2 <1%
Hong Kong 1 <1%
Netherlands 1 <1%
Portugal 1 <1%
Other 8 2%
Unknown 380 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 89 22%
Student > Master 65 16%
Researcher 49 12%
Student > Bachelor 35 9%
Professor > Associate Professor 24 6%
Other 78 19%
Unknown 66 16%
Readers by discipline Count As %
Medicine and Dentistry 47 12%
Engineering 43 11%
Computer Science 36 9%
Agricultural and Biological Sciences 35 9%
Social Sciences 33 8%
Other 118 29%
Unknown 94 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 690. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 July 2022.
All research outputs
#31,052
of 25,863,888 outputs
Outputs from PLOS ONE
#529
of 225,503 outputs
Outputs of similar age
#78
of 196,236 outputs
Outputs of similar age from PLOS ONE
#4
of 1,292 outputs
Altmetric has tracked 25,863,888 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 196,236 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,292 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.