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Characteristics of human encounters and social mixing patterns relevant to infectious diseases spread by close contact: a survey in Southwest Uganda

Overview of attention for article published in BMC Infectious Diseases, April 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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18 X users
wikipedia
1 Wikipedia page

Citations

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76 Dimensions

Readers on

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90 Mendeley
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Title
Characteristics of human encounters and social mixing patterns relevant to infectious diseases spread by close contact: a survey in Southwest Uganda
Published in
BMC Infectious Diseases, April 2018
DOI 10.1186/s12879-018-3073-1
Pubmed ID
Authors

O. le Polain de Waroux, S. Cohuet, D. Ndazima, A. J. Kucharski, A. Juan-Giner, S. Flasche, E. Tumwesigye, R. Arinaitwe, J. Mwanga-Amumpaire, Y. Boum, F. Nackers, F. Checchi, R. F. Grais, W. J. Edmunds

Abstract

Quantification of human interactions relevant to infectious disease transmission through social contact is central to predict disease dynamics, yet data from low-resource settings remain scarce. We undertook a social contact survey in rural Uganda, whereby participants were asked to recall details about the frequency, type, and socio-demographic characteristics of any conversational encounter that lasted for ≥5 min (henceforth defined as 'contacts') during the previous day. An estimate of the number of 'casual contacts' (i.e. < 5 min) was also obtained. In total, 566 individuals were included in the study. On average participants reported having routine contact with 7.2 individuals (range 1-25). Children aged 5-14 years had the highest frequency of contacts and the elderly (≥65 years) the fewest (P < 0.001). A strong age-assortative pattern was seen, particularly outside the household and increasingly so for contacts occurring further away from home. Adults aged 25-64 years tended to travel more often and further than others, and males travelled more frequently than females. Our study provides detailed information on contact patterns and their spatial characteristics in an African setting. It therefore fills an important knowledge gap that will help more accurately predict transmission dynamics and the impact of control strategies in such areas.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Unknown 89 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 27%
Student > Ph. D. Student 15 17%
Student > Master 9 10%
Student > Postgraduate 6 7%
Student > Doctoral Student 4 4%
Other 9 10%
Unknown 23 26%
Readers by discipline Count As %
Medicine and Dentistry 17 19%
Agricultural and Biological Sciences 7 8%
Nursing and Health Professions 6 7%
Mathematics 6 7%
Social Sciences 5 6%
Other 16 18%
Unknown 33 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 31 January 2023.
All research outputs
#2,472,945
of 25,478,886 outputs
Outputs from BMC Infectious Diseases
#729
of 8,628 outputs
Outputs of similar age
#50,770
of 343,499 outputs
Outputs of similar age from BMC Infectious Diseases
#11
of 142 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,628 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 91% 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 343,499 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 142 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 92% of its contemporaries.