Application of the GARC Data Logger—a custom-developed data collection device—to capture and monitor mass dog vaccination campaigns in Namibia

dc.contributor.authorAthingo, Rauna
dc.contributor.authorTenzin, Tenzin
dc.contributor.authorCoetzer, Andre
dc.contributor.authorHikufe, Emmanuel H.
dc.contributor.authorPeter, Josephat
dc.contributor.authorHango, Laina
dc.contributor.authorHaimbodi, Tangeni
dc.contributor.authorLipinge, Johannes
dc.contributor.authorHaufiku, Frenada
dc.contributor.authorNaunyango, Matias
dc.contributor.authorKephas, Magano
dc.contributor.authorShilongo, Albertina
dc.contributor.authorShoombe, Kenneth K.
dc.contributor.authorKhaiseb, Siegfried
dc.contributor.authorLetshwenyo, Moetapele
dc.contributor.authorPozzetti, Patricia
dc.contributor.authorNake, Lorenz
dc.contributor.authorNel, Louis Hendrik
dc.contributor.authorFreuling, Conrad M.
dc.contributor.authorMuller, Thomas
dc.contributor.authorTorres, Gregorio
dc.date.accessioned2021-07-27T09:44:11Z
dc.date.available2021-07-27T09:44:11Z
dc.date.issued2020-12-28
dc.descriptionS1 Appendix. Explanation on OLS, spatial regression model and model diagnostics.en_ZA
dc.descriptionS1 Data. Number of dogs vaccinated and estimated vaccination coverage at the 20x20 KM grid cells in the Northern Communal Area of Namibia, 2019–2020.en_ZA
dc.descriptionS1 Table. Results of Ordinary Least Square model, Spatial Lag Model and Spatial Error Model to assess the variables associated with a log-transformed grid level (20 x 20 km) vaccination coverage against rabies in dogs during 2020 mass dog vaccination campaign in NCA regions, Namibia.en_ZA
dc.descriptionS2 Table. Results of Ordinary Least Square model, Spatial Lag Model and Spatial Error Model to assess the variables associated with a log-transformed grid level (20 x 20 km) vaccination coverage against rabies in dogs during 2019 mass dog vaccination campaign in NCA regions, Namibia.en_ZA
dc.descriptionS1 Fig. Map displaying the locations of vaccination points during the vaccination campaign in 2019 (red dots) and in 2020 (black dots) in the four regions (Oshana, Oshikoto, Omusati and Ohangwena) as downloaded from Rabies Epidemiological Bulletin. The REB allows real time online visualization of vaccination points.en_ZA
dc.descriptionS2 Fig. Map displaying the locations of schools in the four regions (Oshana, Oshikoto, Omusati and Ohangwena) of Northern Communal Area, Namibia (data updated as of 25/ 11/2015) and downloaded from the data world [47].en_ZA
dc.descriptionS3 Fig. The bar graph and time distribution of animal vaccination during 2019 (A and B) and 2020 (C and D) vaccination campaigns in the four regions (Oshana, Oshikoto, Omusati and Ohangwena) of Northern Communal Area, Namibia.en_ZA
dc.description.abstractDomestic dogs are responsible for 99% of all cases of human rabies and thus, mass dog vaccination has been demonstrated to be the most effective approach towards the elimination of dog-mediated human rabies. Namibia demonstrated the feasibility of this approach by applying government-led strategic rabies vaccination campaigns to reduce both human and dog rabies incidences in the Northern Communal Areas of Namibia since 2016. The lessons learnt using paper-based form for data capturing and management of mass dog vaccination campaign during the pilot and roll out phase of the project (2016–2018) led to the implementation of a simple and accurate data collection tool in the second phase (2019– 2022) of the rabies elimination program. In this paper, we describe the implementation of such custom-developed vaccination tracking device, i.e. the Global Alliance for Rabies Control (GARC) Data Logger (GDL), and the integration of the collected data into a websitebased rabies surveillance system (Rabies Epidemiological Bulletin—REB) during 2019 and 2020 campaigns. A total of 10,037 dogs and 520 cats were vaccinated during the 2019 campaign and 13,219 dogs and 1,044 cats during the 2020 campaign. The vaccination data were recorded with the GDL and visualized via REB. Subsequent GIS-analysis using gridded population data revealed a suboptimal vaccination coverage in the great majority of grid cells (82%) with a vaccination coverage below 50%. Spatial regression analysis identified the number of schools, estimated human density, and adult dog population were associated with the vaccination performance. However, there was an inverse correlation to human densities. Nonetheless, the use of the GDL improved data capturing and monitoring capacity of the campaign, enabling the Namibian government to improve strategies for the vaccination of at-risk areas towards achieving adequate vaccination coverage which would effectively break the transmission of rabies.en_ZA
dc.description.departmentBiochemistryen_ZA
dc.description.departmentGeneticsen_ZA
dc.description.departmentMicrobiology and Plant Pathologyen_ZA
dc.description.librarianam2021en_ZA
dc.description.urihttps://journals.plos.org/plosntdsen_ZA
dc.identifier.citationAthingo R, Tenzin T, Coetzer A, Hikufe EH, Peter J, Hango L, et al. (2020) Application of the GARC Data Logger—a custom-developed data collection device—to capture and monitor mass dog vaccination campaigns in Namibia. Plos Neglected Tropical Diseases 14(12): e0008948. https://DOI.org/10.1371/journal.pntd.0008948.en_ZA
dc.identifier.issn1935-2727 (print)
dc.identifier.issn1935-2735 (online)
dc.identifier.other10.1371/journal.pntd.0008948
dc.identifier.urihttp://hdl.handle.net/2263/80998
dc.language.isoenen_ZA
dc.publisherPublic Library of Scienceen_ZA
dc.rights© 2020 Athingo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License.en_ZA
dc.subjectDomestic dogsen_ZA
dc.subjectDogs (Canis familiaris)en_ZA
dc.subjectNamibiaen_ZA
dc.subjectHuman rabiesen_ZA
dc.subjectVaccinationen_ZA
dc.subjectGlobal Alliance for Rabies Control (GARC)en_ZA
dc.subjectGARC data logger (GDL)en_ZA
dc.titleApplication of the GARC Data Logger—a custom-developed data collection device—to capture and monitor mass dog vaccination campaigns in Namibiaen_ZA
dc.typeArticleen_ZA

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