Evidence map›Paper›PMID 28461779›Full record

ArticleTropical medicine and health2017

The capacity of diagnostic laboratories in Kenya for detecting infectious diseases.

H-C Slotved, Kennedy K Yatich, Shem Otoi Sam, Edwardina Otieno Ndhine

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  5. Phenotypic and Genotypic Antibiotic Resistant diarrheagenicEthiopian journal of health sciences · 2020
    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

4 authors at 4 institutions in 2 countries.

H-C SlotvedCentre for Biosecurity and Biopreparedness (CBB), Statens Serum Institut, Artillerivej 5, 2300 Copenhagen, Denmark.ORCID 0000-0002-7294-4911
Kennedy K YatichNational Public Health Laboratory's Biosafety and Biosecurity Program, Ministry of Health, Kenyatta National Hospital Grounds, Old Mbagathi Road, P.O. Box 20750-00202, Nairobi, Kenya.
Shem Otoi SamDepartment of Statistics, School of Mathematics, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya.
Edwardina Otieno NdhineNational Commission for Science, Technology and Innovation (NACOSTI), Utalii House off Uhuru Highway, P.O. Box 30623-00100, Nairobi, Kenya.
Kenyatta National Hospital · KENational Commission for Science, Technology, and Innovation · KEStatens Serum Institut · DKUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study is to present data of the diagnostic capacity of Kenyan laboratories to diagnose a number of human pathogens. The study is based on the data obtained from a biosecurity survey conducted in Kenya in 2014/2015 and data from the Statistical Abstract of Kenya for 2015. The biosecurity survey has previously been published; however, the survey also included information on laboratory capacity to handle a number of pathogens, which have not been published.

methodsData were retrieved from the survey on 86 laboratory facilities. The data include information from relevant categories such as training laboratories, human diagnostic laboratories, veterinary diagnostic laboratories, and research laboratories.

resultsThe disease incidence in Kenya ranges widely from malaria and diarrhea with an incidence rate of around 10.000 per year to diseases such as cholera and yellow fever with an incidence rate of 1 per year or less for all age groups. The data showed that diseases with the highest number of diagnostic facilities were mainly malaria-, HIV-, tuberculosis-, and diarrhea-related infectious diseases.

conclusionThe study generally shows that the laboratory facilities have the capacity of detecting the infectious diseases with the highest incidence rates. Furthermore, it seems that the number of facilities able to detect a particular disease is related to the incidence rate of the disease.

Indexed as

CapacityDiagnostic laboratoriesInfectious diseasesKenyaSurvey

Identifiers

PMID28461779
PMCPMC5410037
OpenAlexW2608884778

What OpenQuestion holds

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LicenceCC BY
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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.