Evidence map›Paper›PMID 28149439›Full record

ArticleThe Pan African medical journal2016

Mapping as a tool for predicting the risk of anthrax outbreaks in Northern Region of Ghana.

Ayamdooh Evans Nsoh, Ernest Kenu, Eric Kofi Forson, Edwin Afari, Samuel Sackey, Kofi Mensah Nyarko, Nathaniel Yebuah

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

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

  1. Pooled it
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  6. Article
  7. Seasonality and Ecological Suitability Modelling for Anthrax (Animals : an open access journal from MDPI · 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

7 authors at 2 institutions in 1 country.

Ayamdooh Evans NsohVeterinary Services Directorate Tamale, P.O. Box 241, Tamale, Northern Region, Ghana; Ghana Field Epidemiology and Laboratory Training Programme, Tamale, Northern Region, Ghana.
Ernest KenuUniversity of Ghana, College of Health Sciences, School of Public Health, Accra, Ghana.
Eric Kofi ForsonRudan Engineering Limited, 156 Atomic-Haatso Road, P.O. Box CT 828, Cantonments, Accra, Ghana.
Edwin AfariGhana Field Epidemiology and Laboratory Training Programme, Tamale, Northern Region, Ghana.
Samuel SackeyGhana Field Epidemiology and Laboratory Training Programme, Tamale, Northern Region, Ghana.
Kofi Mensah NyarkoGhana Field Epidemiology and Laboratory Training Programme, Tamale, Northern Region, Ghana.
Nathaniel YebuahUniversity of Ghana, School of Public Health, Accra, Ghana.
Tamale Teaching Hospital · GHUniversity of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAnthrax is a febrile soil-born infectious disease that can affect all warm-blooded animals including man. Outbreaks of anthrax have been reported in northern region of Ghana but no concerted effort has been made to implement risk-based surveillance systems to document outbreaks so as to implement policies to address the disease. We generated predictive maps using soil pH, temperature and rainfall as predictor variables to identify hotspot areas for the outbreaks.

methodsA 10-year secondary data records on soil pH, temperature and rainfall were used to create climate-based risk maps using ArcGIS 10.2. The monthly mean values of rainfall and temperature for ten years were calculated and anthrax related evidence based constant raster values were created as weights for the three factors. All maps were generated using the Kriging interpolation method.

resultsThere were 43 confirmed outbreaks. The deaths involved were 131 cattle, 44 sheep, 15 goats, 562 pigs with 6 human deaths and 22 developed cutaneous anthrax. We found three strata of well delineated distribution pattern indicating levels of risk due to suitability of area for anthrax spore survival. The likelihood of outbreaks occurrence and reoccurrence was higher in Strata I, Strata II and strata III respectively in descending order, due to the suitability of soil pH, temperature and rainfall for the survival and dispersal of B. anthracis spore.

conclusionThe eastern corridor of Northern region is a Hots spot area. Policy makers can develop risk based surveillance system and focus on this area to mitigate anthrax outbreaks and reoccurrence.

Indexed as

Disease OutbreaksAnimal DiseasesAnimalsAnthraxBacillus anthracisCattleClimateCross-Sectional StudiesGhanaGoatsHumansHydrogen-Ion ConcentrationPopulation SurveillanceRainRiskSheepSoilAnthraxB. anthracisNorthern Regionoutbreakrainfallsoil pHspatial risk mappingsurveillancetemperature

Identifiers

PMID28149439
PMCPMC5257015
OpenAlexW2233401380

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.