Evidence map›Paper›PMID 30054196›Full record

ArticleEpidemics2018

Identifying human encounters that shape the transmission of Streptococcus pneumoniae and other acute respiratory infections.

Olivier le Polain de Waroux, Stefan Flasche, Adam J Kucharski, Celine Langendorf, Donny Ndazima, Juliet Mwanga-Amumpaire, Rebecca F Grais, Sandra Cohuet, W John Edmunds

Open access · goldAbstract read
In one paragraph

Article in Epidemics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

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  16. Within and between classroom transmission patterns of seasonal influenza among primary school students in Matsumoto city, Japan.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

9 authors at 3 institutions in 2 countries.

Olivier le Polain de WarouxCentre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT, London, United Kingdom. Electronic address: olivier.lepolain@lshtm.ac.uk.
Stefan FlascheCentre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT, London, United Kingdom.
Adam J KucharskiCentre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT, London, United Kingdom.
Celine LangendorfDepartment of Research, Epicentre, 8 Rue Saint-Sabin, 75011, Paris, France.
Donny NdazimaEpicentre Mbarara Research Centre, PO Box 1956, Mbarara, Uganda.
Juliet Mwanga-AmumpaireEpicentre Mbarara Research Centre, PO Box 1956, Mbarara, Uganda; Mbarara Universityof Science and Technology, Mbarara University, PO Box 1410, Mbarara, Uganda.
Rebecca F GraisDepartment of Research, Epicentre, 8 Rue Saint-Sabin, 75011, Paris, France.
Sandra CohuetDepartment of Field Epidemiology, Epicentre, 8 Rue Saint-Sabin, 75011, Paris, France.
W John EdmundsCentre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT, London, United Kingdom.
London School of Hygiene & Tropical Medicine · GBEpicentre Uganda · UGMbarara University of Science and Technology · UG

Funding

Wellcome Trust 206250/Z/17/ZWellcome Trust 208812/Z/17/Z
6 · The paper itself

Abstract

Although patterns of social contacts are believed to be an important determinant of infectious disease transmission, it remains unclear how the frequency and nature of human interactions shape an individual's risk of infection. We analysed data on daily social encounters individually matched to data on S. pneumoniae carriage and acute respiratory symptoms (ARS), from 566 individuals who took part in a survey in South-West Uganda. We found that the frequency of physical (i.e. skin-to-skin), long (≥1 h) and household contacts - which capture some measure of close (i.e. relatively intimate) contact - was higher among pneumococcal carriers than non-carriers, and among people with ARS compared to those without, irrespective of their age. With each additional physical encounter the age-adjusted risk of carriage and ARS increased by 6% (95%CI 2-9%) and 7% (2-13%) respectively. In contrast, the number of casual contacts (<5 min long) was not associated with either pneumococcal carriage or ARS. A detailed analysis by age of contacts showed that the number of close contacts with young children (<5 years) was particularly higher among older children and adult carriers than non-carriers, while the higher number of contacts among people suffering from ARS was more homogeneous across contacts of all ages. Our findings provide key evidence that the frequency of close interpersonal contact is important for transmission of respiratory infections, but not that of casual contacts. Those results are essential for both improving disease prevention and control efforts as well as informing research on infectious disease dynamics and transmission models, and more studies should be undertaken to further validate our results.

Indexed as

Social BehaviorStreptococcus pneumoniaeAdolescentAdultCarrier StateChildChild, PreschoolFemaleHumansMalePneumococcal InfectionsRespiratory Tract InfectionsSexual BehaviorSexual PartnersSurveys and QuestionnairesUgandaContactInfectionPneumococcusRespiratoryRisk factorTransmissionUganda

Identifiers

PMID30054196
PMCPMC6227246
OpenAlexW2950573547

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.