The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery
Author(s) -
Ana Carolina Lopes Antunes,
Els Ducheyne,
Ward Bryssinckx,
Sara Vieira,
Manuel Malta,
Yolanda Vaz,
Telmo Nunes,
Koen Mintiens
Publication year - 2015
Publication title -
geospatial health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.545
H-Index - 36
eISSN - 1970-7096
pISSN - 1827-1987
DOI - 10.4081/gh.2015.386
Subject(s) - cape verde , geography , cape , population , confidence interval , cartography , remote sensing , fishery , physical geography , ecology , archaeology , biology , statistics , environmental health , medicine , mathematics , ethnology , history
The objective was to estimate and characterise the dog and cat population on Maio Island, Cape Verde. Remotely sensed imagery was used to document the number of houses across the island and a household survey was carried out in six administrative areas recording the location of each animal using a global positioning system instrument. Linear statistical models were applied to predict the dog and cat populations based on the number of houses found and according to various levels of data aggregation. In the surveyed localities, a total of 457 dogs and 306 cats were found. The majority of animals had owners and only a few had free access to outdoor activities. The estimated population size was 531 dogs [95% confidence interval (CI): 453-609] and 354 cats (95% CI: 275-431). Stray animals were not a concern on the island in contrast to the rest of the countr
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