Evidence map›Paper›PMID 38024265›Full record

ArticleOne health (Amsterdam, Netherlands)2023

Potential risk zones and climatic factors influencing the occurrence and persistence of avian influenza viruses in the environment of live bird markets in Bangladesh.

Ariful Islam, Emama Amin, Sarah Munro, Mohammad Enayet Hossain, Shariful Islam, Mohammad Mahmudul Hassan, Abdullah Al Mamun, Mohammed Abdus Samad, Tahmina Shirin, Mohammed Ziaur Rahman and 1 more

Open access · goldAbstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2023. 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
4.7field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

11 authors at 4 institutions in 3 countries.

Ariful IslamEcoHealth Alliance, New York, NY 10018, USA.
Emama AminEcoHealth Alliance, New York, NY 10018, USA.
Sarah MunroEcoHealth Alliance, New York, NY 10018, USA.
Mohammad Enayet HossainOne Health Laboratory, International Centre for Diarrheal Diseases Research, Bangladesh (ICDDR), Bangladesh.
Shariful IslamEcoHealth Alliance, New York, NY 10018, USA.
Mohammad Mahmudul HassanQueensland Alliance for One Health Sciences, School of Veterinary Science, University of Queensland, QLD 4343, Australia.
Abdullah Al MamunEcoHealth Alliance, New York, NY 10018, USA.
Mohammed Abdus SamadNational Reference Laboratory for Avian Influenza, Bangladesh Livestock Research Institute (BLRI), Savar, Bangladesh.
Tahmina ShirinInstitute of Epidemiology, Disease Control and Research (IEDCR), Dhaka 1212, Bangladesh.
Mohammed Ziaur RahmanOne Health Laboratory, International Centre for Diarrheal Diseases Research, Bangladesh (ICDDR), Bangladesh.
Jonathan H EpsteinEcoHealth Alliance, New York, NY 10018, USA.
Institute of Epidemiology, Disease Control and Research · BDEcoHealth Alliance · USInternational Centre for Diarrhoeal Disease Research · BDBangladesh Livestock Research Institute · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Live bird markets (LBMs) are critical for poultry trade in many developing countries that are regarded as hotspots for the prevalence and contamination of avian influenza viruses (AIV). Therefore, we conducted weekly longitudinal environmental surveillance in LBMs to determine annual cyclic patterns of AIV subtypes, environmental risk zones, and the role of climatic factors on the AIV presence and persistence in the environment of LBM in Bangladesh. From January 2018 to March 2020, we collected weekly fecal and offal swab samples from each LBM and tested using rRT-PCR for the M gene and subtyped for H5, H7, and H9. We used Generalized Estimating Equations (GEE) approaches to account for repeated observations over time to correlate the AIV prevalence and potential risk factors and the negative binomial and Poisson model to investigate the role of climatic factors on environmental contamination of AIV at the LBM. Over the study period, 37.8% of samples tested AIV positive, 18.8% for A/H5, and A/H9 was, for 15.4%. We found the circulation of H5, H9, and co-circulation of H5 and H9 in the environmental surfaces year-round. The Generalized Estimating Equations (GEE) model reveals a distinct seasonal pattern in transmitting AIV and H5. Specifically, certain summer months exhibited a substantial reduction of risk up to 70-90% and 93-94% for AIV and H5 contamination, respectively. The slaughtering zone showed a significantly higher risk of contamination with H5, with a three-fold increase in risk compared to bird-holding zones. From the negative binomial model, we found that climatic factors like temperature and relative humidity were also significantly associated with weekly AIV circulation. An increase in temperature and relative humidity decreases the risk of AIV circulation. Our study underscores the significance of longitudinal environmental surveillance for identifying potential risk zones to detect H5 and H9 virus co-circulation and seasonal transmission, as well as the imperative for immediate interventions to reduce AIV at LBMs in Bangladesh. We recommend adopting a One Health approach to integrated AIV surveillance across animal, human, and environmental interfaces in order to prevent the epidemic and pandemic of AIV.

Indexed as

ContaminationsH9HPAI H5Meteorological factorsOne healthSlaughtering zoneSurveillanceZoonotic spillover

Identifiers

PMID38024265
PMCPMC10665157
OpenAlexW4387613571

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.