Evidence map›Paper›PMID 32036802›Full record

ArticleEpidemiology and infection2020

New approaches to controlling an outbreak of chickenpox in a large immigration detention setting in England: the role of serological testing and mathematical modelling.

Xu-Sheng Zhang, Alexandra Smith, Bharat Patel, Charlotte Anderson, Laura Pomeroy, Gillian Higgins, Éamonn O'Moore, Yimmy Chow, Christina Atchison

Open access · goldAbstract read
In one paragraph

Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Acute Rise in the Incidence of Chickenpox due to Temperature Variation in a Specific Locality of Gwalior City.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

9 authors at 1 institution in 1 country.

Xu-Sheng ZhangStatistics, Modelling and Economics Department, National Infection Service, Public Health England, London, UK.ORCID 0000-0002-6596-4500
Alexandra SmithNorth West London Health Protection Team, Public Health England, London, UK.
Bharat PatelPublic Health Laboratories London, London, UK.
Charlotte AndersonField Epidemiology Services South East and London, Public Health England, London, UK.
Laura PomeroyNorth West London Health Protection Team, Public Health England, London, UK.
Gillian HigginsPublic Health Laboratories Cambridge, Public Health England, London, UK.
Éamonn O'MooreHealth and Justice Team, Public Health England, London, UK.
Yimmy ChowNorth West London Health Protection Team, Public Health England, London, UK.
Christina AtchisonNorth West London Health Protection Team, Public Health England, London, UK.
Public Health England · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chickenpox is caused by varicella-zoster-virus (VZV) and is highly contagious. Immigration detention settings are a high-risk environment for primary VZV transmission, with large, rapidly-changing populations in close quarters, and higher susceptibility among non-UK-born individuals. During outbreaks, operational challenges occur in detention settings because of high-turnover and the potential need to implement population movement restriction for prolonged periods. Between December 2017 and February 2018, four cases of chickenpox were notified amongst 799 detainees in an immigration removal centre (IRC). Microbiological investigations included case confirmation by vesicular fluid polymerase chain reaction, and VZV serology for susceptibility testing. Control measures involved movement restrictions, isolation of cases, quarantining and cohorting of non-immune contacts and extending VZV immunity testing to the wider detainee population to support outbreak management. Immunity was tested for 301/532 (57%) detainees, of whom 24 (8%) were non-immune. The level of non-immunity was lower than expected based on the existing literature on VZV seroprevalence in detained populations in England. Serology results identified non-immune contacts who could be cohorted and, due to the lack of isolation capacity, allowed the placement of cases with immune detainees. The widespread immunity testing of all detainees was proving challenging to sustain because it required significant resources and was having a severe impact on operational capacity and the ability to maintain core business activities at the IRC. Therefore, mathematical modelling was used to assess the impact of scaling back mass immunity testing. Modelling demonstrated that interrupting testing posed a risk of one additional case compared to continuing with testing. As such, the decision was made to stop testing, and the outbreak was successfully controlled without excessive strain on resources. Operational challenges generated learning for future outbreaks, with implications for a local and national policy on IRC staff occupational health requirements, and proposed reception screening of detainees for VZV immunity.

Indexed as

Disease OutbreaksEmigrants and ImmigrantsModels, TheoreticalAdolescentAdultAgedChickenpoxDisease Transmission, InfectiousEnglandEpidemiologic MethodsHumansMaleMiddle AgedPatient IsolationPolymerase Chain ReactionQuarantineChickenpoxdetention settingdisease managementimmunity testingmathematical modellingoutbreakVZV serology

Identifiers

PMID32036802
PMCPMC7026903
OpenAlexW3004623945

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.