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Evaluating open source routing tools in vaccine delivery in Kano State, Northern Nigeria
Kehinde Adebola Adewara 대한공간정보학회 2016 Spatial Information Research Vol.24 No.3
The recent proliferation of open source geospatial routing tools such as QGIS Road Graph Plugin (QRG), Open Street RoutingMachine, GoogleMaps Engine, GraphHopper (GH), and OsmAnd has led to the need to provide a method for comparatively evaluating the strength and weakness of these routing tools. In this paper, comparative evaluation of these tools has been carried out using drive test survey and routing estimation. The primary objective of this paper is to demonstrate comparative advantage of using open sourceGIS routing tools to optimize vaccine delivery process such that there would be significant reduction in logistics, manpower and cost associated with routine vaccine delivery. The capacity of the selected open source GIS routing tools was evaluated against this backdrop. Hence drive test survey was used to define the benchmark for determining the best rank among these routing tools. The drive test survey was carried out on delivery routes connecting state cold store (depot for vaccine storage) to 10 health facilities and the results were compared with values derived from routing estimation. The overall outcome indicated QRG had the highest cumulative error margin of 67.52 km while the lowest was reported for GH (46.17 km). Drive test outcome may not be sufficient to determine best or otherwise routing tool, it may be appro- priate to consider other valuable criteria for the purpose of ranking these tools. Based on these criteria, QRG has the highest ranking score and OsmAnd got the lowest. These ranking scores are subject to changes with new releases.
Sola-Ojo, F.E,Afolabi-Balogun, N.B,Adeniyi C.A,Adeyemi, K.D,Ayorinde, K.L,Alli, O.I,Oni, O.A,Okeke, C.U,Momoh E.O,Adewara, J,Abdulkareem, I 한국동물유전육종학회 2021 한국동물유전육종학회지 Vol.5 No.2
Sexing of birds at early age is very important for efficient selection and breeding; while characterization and taxonomic identification is relevant in conservation of birds’ genetic resources. This study used the genomic DNA of ten (10) guinea fowl keets to determine their sex using agarose gel electrophoresis and sequencing with chromo helicase DNA (CHD) binding genes, they were also characterize taxonomically using 12S rRNA mitochondria genes. The results of this study shows a double band (ZW) for females and a single band (W) for males under Agarose gel electrophoresis view, the Guinea fowl keets sequenced showed some deletions and were closer to Gallus_CHD12 in the phylogenetic tree. The Taxonomic classification result shows that the sequenced guineafowl keets were most related to the Numida meleagris 12S mitochondrial ribosomal RNA. This study corroborate the fact sex of guineafowl keet can be easily identified at genomic DNA level and they can be characterized taxonomically using the 12SrRNA mitochondrial genes.