Evidence map›Paper›PMID 35330613›Full record

ArticleFrontiers in veterinary science2022

Utility of the Intradermal Skin Test in a Test-and-Cull Approach to Control Bovine Tuberculosis: A Pilot Study in Ethiopia.

Matios Lakew, Sreenidhi Srinivasan, Beruhtesfa Mesele, Abebe Olani, Tafesse Koran, Biniam Tadesse, Getnet Abie Mekonnen, Gizat Almaw, Temertu Sahlu, Bekele Seyoum and 7 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

17 authors.

Matios LakewNational Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia.
Sreenidhi SrinivasanHuck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States.
Beruhtesfa MeseleAlage Agricultural Technical and Vocational Education Training (ATVET) College, Alage, Ethiopia.
Abebe OlaniNational Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia.
Tafesse KoranNational Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia.
Biniam TadesseNational Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia.
Getnet Abie MekonnenNational Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia.
Gizat AlmawNational Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia.
Temertu SahluAlage Agricultural Technical and Vocational Education Training (ATVET) College, Alage, Ethiopia.
Bekele SeyoumAlage Agricultural Technical and Vocational Education Training (ATVET) College, Alage, Ethiopia.
Kebede BeyechaAlage Agricultural Technical and Vocational Education Training (ATVET) College, Alage, Ethiopia.
Balako GumiAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Gobena AmeniAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Hagos AshenafiAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Douwe BakkerIndependent Researcher and Technical Consultant, Lelystad, Netherlands.
Vivek KapurHuck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States.
Solomon GebreNational Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine tuberculosis (bTB) is one of the top three, high-priority, livestock diseases in Ethiopia and hence, the need for evaluation of potential control strategies is critical. Here, we applied the test-and-segregate followed by cull strategy for the control of bTB in the intensive Alage dairy farm in Ethiopia. All cattle reared on this farm were repeatedly skin tested using the Comparative Cervical Tuberculin (CCT) test for a total of five times between 2015 and 2021. During the first (October 2015) and second (March 2017) rounds of testing, all reactor animals (>4 mm) were culled, while those that were deemed as inconclusive (1-4 mm) were segregated and retested. At retest, animals with CCT >2 mm were removed from the herd. In the third (December 2017) and fourth (June 2018) rounds of tuberculin testing, a more stringent approach was taken wherein all reactors per the severe mode of CCT test interpretation (>2 mm) were culled. A final herd status check was performed in May 2021. In summary, the number of CCT positives (>4 mm) in the farm dropped from 23.1% (31/134) in October 2015 to 0% in December 2017 and remained 0% until May 2021. In contrast, the number of Single Cervical Tuberculin (SCT) test positives (≥4 mm) increased from 1.8 to 9.5% (from 2017 to 2021), indicating that CCT test might not be sufficient to effectively clear the herd of bTB. However, a more stringent approach would result in a drastic increase in the number of false positives. The total cost of the bTB control effort in this farm holding 134-200 cattle at any given time was conservatively estimated to be ~US$48,000. This, together with the need for culling an unacceptably high number of animals based on skin test status, makes the test-and-cull strategy impractical for nationwide implementation in Ethiopia and other low- and middle-income countries (LMICs) where the infection is endemic. Hence, there is an increased emphasis on the need to explore alternate, affordable measures such as vaccination alongside accurate diagnostics to help control bTB in endemic settings.

Indexed as

bovine tuberculosiscontrol programEthiopiaprevalencetest and cull

Identifiers

PMID35330613
PMCPMC8940234

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.