Evidence map›Paper›PMID 30212472›Full record

ArticlePLoS computational biology2018

The impact of surveillance and control on highly pathogenic avian influenza outbreaks in poultry in Dhaka division, Bangladesh.

Edward M Hill, Thomas House, Madhur S Dhingra, Wantanee Kalpravidh, Subhash Morzaria, Muzaffar G Osmani, Eric Brum, Mat Yamage, Md A Kalam, Diann J Prosser and 4 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Endocrine and molecular regulation of seasonal avian immune function.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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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

14 authors.

Edward M HillZeeman Institute: Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom.ORCID 0000-0002-2992-2004
Thomas HouseSchool of Mathematics, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0001-5835-8062
Madhur S DhingraSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
Wantanee KalpravidhFood and Agricultural Organization of the United Nations Regional Office for Asia and the Pacific, Bangkok, Thailand.
Subhash MorzariaFood and Agricultural Organization of the United Nations, Rome, Italy.
Muzaffar G OsmaniDepartment of Livestock Services, Dhaka, Bangladesh.
Eric BrumEmergency Centre for Transboundary Animal Diseases (ECTAD), Food and Agriculture Organization of the United Nations, Dhaka, Bangladesh.
Mat YamageEmergency Centre for Transboundary Animal Diseases (ECTAD), Food and Agriculture Organization of the United Nations, Dhaka, Bangladesh.
Md A KalamInstitute of Epidemiology, Disease Control & Research (IEDCR), Dhaka, Bangladesh.
Diann J ProsserUSGS Patuxent Wildlife Research Center, Laurel, Maryland, United States of America.
John Y TakekawaU.S. Geological Survey, Western Ecological Research Center, San Francisco Bay Estuary Field Station, Vallejo, California, United States of America.
Xiangming XiaoDepartment of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, Oklahoma, United States of America.
Marius GilbertSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
Michael J TildesleyZeeman Institute: Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom.

Funding

Transmission dynamics and spillover of avian influenza under changing agriculturaR01AI101028 · NIAID · UNIVERSITY OF OKLAHOMA · PI XIAO, XIANGMING · 2013 to 2016
$1.9M
NIAID NIH HHS R01 AI101028
6 · The paper itself

Abstract

In Bangladesh, the poultry industry is an economically and socially important sector, but it is persistently threatened by the effects of H5N1 highly pathogenic avian influenza. Thus, identifying the optimal control policy in response to an emerging disease outbreak is a key challenge for policy-makers. To inform this aim, a common approach is to carry out simulation studies comparing plausible strategies, while accounting for known capacity restrictions. In this study we perform simulations of a previously developed H5N1 influenza transmission model framework, fitted to two separate historical outbreaks, to assess specific control objectives related to the burden or duration of H5N1 outbreaks among poultry farms in the Dhaka division of Bangladesh. In particular, we explore the optimal implementation of ring culling, ring vaccination and active surveillance measures when presuming disease transmission predominately occurs from premises-to-premises, versus a setting requiring the inclusion of external factors. Additionally, we determine the sensitivity of the management actions under consideration to differing levels of capacity constraints and outbreaks with disparate transmission dynamics. While we find that reactive culling and vaccination policies should pay close attention to these factors to ensure intervention targeting is optimised, across multiple settings the top performing control action amongst those under consideration were targeted proactive surveillance schemes. Our findings may advise the type of control measure, plus its intensity, that could potentially be applied in the event of a developing outbreak of H5N1 amongst originally H5N1 virus-free commercially-reared poultry in the Dhaka division of Bangladesh.

Indexed as

Influenza A Virus, H5N1 SubtypeAnimalsBangladeshChickensCommunicable Disease ControlComputer SimulationDisease OutbreaksGeographyHealth PolicyInfluenza in BirdsModels, TheoreticalPoultry

Identifiers

PMID30212472
PMCPMC6155559

What OpenQuestion holds

Textmetadata
LicenceCC0
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.