A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015.


Journal

PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922

Informations de publication

Date de publication:
03 2020
Historique:
received: 17 07 2019
accepted: 16 01 2020
revised: 08 04 2020
pubmed: 29 3 2020
medline: 1 7 2020
entrez: 29 3 2020
Statut: epublish

Résumé

Tuberculosis (TB) remains a public health threat in low TB incidence countries, through a combination of reactivated disease and onward transmission. Using surveillance data from the United Kingdom (UK) and the Netherlands (NL), we demonstrate a simple and predictable relationship between the probability of observing a cluster and its size (the number of cases with a single genotype). We demonstrate that the full range of observed cluster sizes can be described using a modified branching process model with the individual reproduction number following a Poisson lognormal distribution. We estimate that, on average, between 2010 and 2015, a TB case generated 0.41 (95% CrI 0.30,0.60) secondary cases in the UK, and 0.24 (0.14,0.48) secondary cases in the NL. A majority of cases did not generate any secondary cases. Recent transmission accounted for 39% (26%,60%) of UK cases and 23%(13%,37%) of NL cases. We predict that reducing UK transmission rates to those observed in the NL would result in 538(266,818) fewer cases annually in the UK. In conclusion, while TB in low incidence countries is strongly associated with reactivated infections, we demonstrate that recent transmission remains sufficient to warrant policies aimed at limiting local TB spread.

Identifiants

pubmed: 32218567
doi: 10.1371/journal.pcbi.1007687
pii: PCOMPBIOL-D-19-01185
pmc: PMC7141699
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1007687

Subventions

Organisme : Department of Health
Pays : United Kingdom

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Ellen Brooks-Pollock (E)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Bristol Veterinary School, University of Bristol, Bristol, United Kingdom.

Leon Danon (L)

College of Engineering and Mathematical Sciences, University of Exeter, Exeter, United Kingdom.
The Alan Turing Institute, London, United Kingdom.

Hester Korthals Altes (H)

Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.

Jennifer A Davidson (JA)

TB Section, Public Health England, London, United Kingdom.

Andrew M T Pollock (AMT)

Department of Physics, University of Sheffield, Sheffield, United Kingdom.

Dick van Soolingen (D)

Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Departments of Clinical Microbiology and Pulmonary Diseases, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands.

Colin Campbell (C)

TB Section, Public Health England, London, United Kingdom.

Maeve K Lalor (MK)

TB Section, Public Health England, London, United Kingdom.
Institute for Global Health, University College London, London, United Kingdom.

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