Evidence map›Paper›PMID 31401956›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019

Hospital-based zoonotic disease surveillance in Bangladesh: design, field data and difficulties.

Pritimoy Das, Hossain M S Sazzad, Mohammad Abdul Aleem, M Ziaur Rahman, Mahmudur Rahman, Simon J Anthony, W Ian Lipkin, Emily S Gurley, Stephen P Luby, John J Openshaw

Open access · bronzeAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Dynamic and integrative approaches to understanding pathogen spillover.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  8. The problem of scale in the prediction and management of pathogen spillover.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    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

10 authors at 4 institutions in 2 countries.

Pritimoy DasInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Mohakhali, Dhaka 1212, Bangladesh.
Hossain M S SazzadInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Mohakhali, Dhaka 1212, Bangladesh.
Mohammad Abdul AleemInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Mohakhali, Dhaka 1212, Bangladesh.
M Ziaur RahmanInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Mohakhali, Dhaka 1212, Bangladesh.
Mahmudur RahmanInstitute of Epidemiology Disease Control and Research, Mohakhali, Dhaka 1212, Bangladesh.
Simon J AnthonyCenter for Infection and Immunity, Columbia University, New York, NY 10032, USA.
W Ian LipkinCenter for Infection and Immunity, Columbia University, New York, NY 10032, USA.
Emily S GurleyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Stephen P LubyDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA 94305, USA.
John J OpenshawDivision of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA 94305, USA.
International Centre for Diarrhoeal Disease Research · BDColumbia University · USStanford University · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of zoonotic diseases allows for the implementation of early response measures, reducing loss of human life and economic disruption. We implemented a surveillance system in hospitals in Bangladesh to screen acutely ill hospitalized patients with severe respiratory infection and meningoencephalitis for zoonotic exposures. Patients were screened for the risk of zoonotic exposures with five questions covering vocational exposures, sick domestic animal and wild animal contact, and date palm sap consumption in the three weeks preceding illness onset. Patients giving at least one positive response were considered a potential zoonotic exposure. From September 2013 to March 2017, a total of 11 429 hospitalized patients across 14 participating hospitals were screened for exposures. Overall, 2% of patients reported a potential zoonotic exposure in the three-week period prior to becoming ill. Sixteen per cent of hospitalized patients with reported exposures died. After routine surveillance diagnostic testing, 88% of patients admitted to the hospital after a potential zoonotic exposure did not have a laboratory diagnosed aetiology for their illness. Hospital-based surveillance systems such as the Bangladeshi example presented here could play an important future role in the early detection of zoonotic spillover diseases. This article is part of the theme issue 'Dynamic and integrative approaches to understanding pathogen spillover'.

Indexed as

Epidemiological MonitoringPopulation SurveillanceAdolescentAdultAgedAged, 80 and overAnimalsBangladeshChildChild, PreschoolFemaleHospitalsHumansInfantMaleMeningoencephalitisemerging zoonotic viruseshospital-basedhumanssurveillance

Identifiers

PMID31401956
PMCPMC6711311
OpenAlexW2967939981

What OpenQuestion holds

Textmetadata
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.