Evidence map›Paper›PMID 28482863›Full record

Observational studyParasites & vectors2017

Fascioliasis risk factors and space-time clusters in domestic ruminants in Bangladesh.

A K M Anisur Rahman, S K Shaheenur Islam, Md Hasanuzzaman Talukder, Md Kumrul Hassan, Navneet K Dhand, Michael P Ward

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  4. Review
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  7. Review
  8. An insight into the epidemiology of foodborne zoonotic fascioliasis in small ruminants in northwestern region of Bangladesh.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2024
    Article
  9. Article
  10. Molecular Characterization ofInfection and drug resistance · 2023
    Article
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  12. Article
  13. Efficacy of flukicides onParasitology · 2022
    Article
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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

6 authors at 3 institutions in 2 countries.

A K M Anisur RahmanDepartment of Medicine, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh. arahman_med@bau.edu.bd.ORCID http://orcid.org/0000-0001-9660-4949
S K Shaheenur IslamDepartment of Livestock Services, Krishi Khamar Sarak, Farmgate, Dhaka, 1215, Bangladesh.
Md Hasanuzzaman TalukderDepartment of Parasitology, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh.
Md Kumrul HassanDepartment of Medicine, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh.
Navneet K DhandSydney School of Veterinary Science, The University of Sydney, Camden, 2570, NSW,, Australia.
Michael P WardSydney School of Veterinary Science, The University of Sydney, Camden, 2570, NSW,, Australia.
Bangladesh Agricultural University · BDThe University of Sydney · AUBangladesh Livestock Research Institute · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA retrospective observational study was conducted to identify fascioliasis hotspots, clusters, potential risk factors and to map fascioliasis risk in domestic ruminants in Bangladesh. Cases of fascioliasis in cattle, buffalo, sheep and goats from all districts in Bangladesh between 2011 and 2013 were identified via secondary surveillance data from the Department of Livestock Services' Epidemiology Unit. From each case report, date of report, species affected and district data were extracted. The total number of domestic ruminants in each district was used to calculate fascioliasis cases per ten thousand animals at risk per district, and this was used for cluster and hotspot analysis. Clustering was assessed with Moran's spatial autocorrelation statistic, hotspots with the local indicator of spatial association (LISA) statistic and space-time clusters with the scan statistic (Poisson model). The association between district fascioliasis prevalence and climate (temperature, precipitation), elevation, land cover and water bodies was investigated using a spatial regression model.

resultsA total of 1,723,971 cases of fascioliasis were reported in the three-year study period in cattle (1,164,560), goats (424,314), buffalo (88,924) and sheep (46,173). A total of nine hotspots were identified; one of these persisted in each of the three years. Only two local clusters were found. Five space-time clusters located within 22 districts were also identified. Annual risk maps of fascioliasis cases correlated with the hotspots and clusters detected. Cultivated and managed (P < 0.001) and artificial surface (P = 0.04) land cover areas, and elevation (P = 0.003) were positively and negatively associated with fascioliasis in Bangladesh, respectively.

conclusionsResults indicate that due to land use characteristics some areas of Bangladesh are at greater risk of fascioliasis. The potential risk factors, hot spots and clusters identified in this study can be used to guide science-based treatment and control decisions for fascioliasis in Bangladesh and in other similar geo-climatic zones throughout the world.

Indexed as

Animals, DomesticAnimalsBangladeshBuffaloesCattleCattle DiseasesClimateCluster AnalysisFascioliasisGoat DiseasesGoatsPoisson DistributionPrevalenceRetrospective StudiesRisk FactorsSheepBangladeshDomestic ruminantsFascioliasisHot-spotsRisk factorsSpace-time clusters

Identifiers

PMID28482863
PMCPMC5422951
OpenAlexW2613499989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.