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A spatial sampling scheme for a road network

Mini Dissertation(MSc)--University of Pretoria, 2017.

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Other Authors: Fabris-Rotelli, Inger Nicolette
Format: Thesis
Language:English
Published: University of Pretoria 2018
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access_status_str Open Access
author2 Fabris-Rotelli, Inger Nicolette
author_browse Fabris-Rotelli, Inger Nicolette
author_facet Fabris-Rotelli, Inger Nicolette
collection Thesis
dc_rights_str_mv © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Mini Dissertation(MSc)--University of Pretoria, 2017.
format Thesis
id oai:repository.up.ac.za:2263/63776
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:36:35.732Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2018
publishDateRange 2018
publishDateSort 2018
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/63776 A spatial sampling scheme for a road network Fabris-Rotelli, Inger Nicolette u12044700@tuks.co.za Loots, Mattheus Theodor Stein, Alfred Reynolds, Hayley Spatial Statistics Spatial Sampling Rabies vaccination Environmental sampling UCTD Mini Dissertation(MSc)--University of Pretoria, 2017. Rabies has been reported in Tanzania, mainly in the southern highland regions, since 1954. To date, rabies is endemic in all districts in Tanzania and efforts are being made to contain the disease. It was determined that mass vaccination of at least 70% of an animal population is most effective, in terms of profitability and cost, in reducing transmission of rabies. The current approach for vaccination in Tanzanian villages takes some features from the EPI method but is rather basic and unreliable. This mini-dissertation proposes using a sampling technique which incorporates the spatial component of the village data and minimises the walking distance between the sampled houses while ensuring the 70% coverage of the animal population. STATOMET The Centre for Artificial Intelligence Research (CAIR) National Research Foundation of South Africa (NRF CSUR grant number 90315) Statistics MSc Unrestricted 2018-01-29T06:33:38Z 2018-01-29T06:33:38Z 2018-04-13 2017 Mini Dissertation Reynolds, H 2017, A spatial sampling scheme for a road network, MSc Mini Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/63776> http://hdl.handle.net/2263/63776 en © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle Spatial Statistics
Spatial Sampling
Rabies vaccination
Environmental sampling
UCTD
A spatial sampling scheme for a road network
title A spatial sampling scheme for a road network
title_full A spatial sampling scheme for a road network
title_fullStr A spatial sampling scheme for a road network
title_full_unstemmed A spatial sampling scheme for a road network
title_short A spatial sampling scheme for a road network
title_sort spatial sampling scheme for a road network
topic Spatial Statistics
Spatial Sampling
Rabies vaccination
Environmental sampling
UCTD
url http://hdl.handle.net/2263/63776