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      Search Methods Used to Locate Missing Cats and Locations Where Missing Cats Are Found

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          Abstract

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          A least 15% of cat owners lose their pet in a five-year period and some are never found. This paper reports on data gathered from an online questionnaire that asked questions regarding search methods used to locate missing cats and locations where missing cats were found. The most important finding from this retrospective case series was that approximately one third of cats were recovered within 7 days. Secondly, a physical search increased the chances of finding cats alive and 75% of cats were found within a 500 m radius of their point of escape. Thirdly, those cats that were indoor-outdoor and allowed outside unsupervised traveled longer distances compared with indoor cats that were never allowed outside. Lastly, cats considered to be highly curious in nature were more likely to be found inside someone else’s house compared to other personality types. These findings suggest that a physical search within the first week of a cat going missing could be a useful strategy. In light of these findings, further research into this field may show whether programs such as shelter, neuter and return would improve the chances of owners searching and finding their missing cats as well as decreasing euthanasia rates in shelters.

          Abstract

          Missing pet cats are often not found by their owners, with many being euthanized at shelters. This study aimed to describe times that lost cats were missing for, search methods associated with their recovery, locations where found and distances travelled. A retrospective case series was conducted where self-selected participants whose cat had gone missing provided data in an online questionnaire. Of the 1210 study cats, only 61% were found within one year, with 34% recovered alive by the owner within 7 days. Few cats were found alive after 90 days. There was evidence that physical searching increased the chance of finding the cat alive ( p = 0.073), and 75% of cats were found within 500 m of the point of escape. Up to 75% of cats with outdoor access traveled 1609 m, further than the distance traveled by indoor-only cats (137 m; p ≤ 0.001). Cats considered to be highly curious were more likely to be found inside someone else’s house compared to other personality types. These findings suggest that thorough physical searching is a useful strategy, and should be conducted within the first week after cats go missing. They also support further investigation into whether shelter, neuter and return programs improve the chance of owners recovering missing cats and decrease numbers of cats euthanized in shelters.

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          Effect of high-impact targeted trap-neuter-return and adoption of community cats on cat intake to a shelter.

          Approximately 2-3 million cats enter animal shelters annually in the United States. A large proportion of these are unowned community cats that have no one to reclaim them and may be too unsocialized for adoption. More than half of impounded cats are euthanased due to shelter crowding, shelter-acquired disease or feral behavior. Trap-neuter-return (TNR), an alternative to shelter impoundment, improves cat welfare and reduces the size of cat colonies, but has been regarded as too impractical to reduce cat populations on a larger scale or to limit shelter cat intake. The aim of this study was to assess the effect of TNR concentrated in a region of historically high cat impoundments in a Florida community. A 2-year program was implemented to capture and neuter at least 50% of the estimated community cats in a single 11.9 km(2) zip code area, followed by return to the neighborhood or adoption. Trends in shelter cat intake from the target zip code were compared to the rest of the county. A total of 2366 cats, representing approximately 54% of the projected community cat population in the targeted area, were captured for the TNR program over the 2-year study period. After 2 years, per capita shelter intake was 3.5-fold higher and per capita shelter euthanasia was 17.5-fold higher in the non-target area than in the target area. Shelter cat impoundment from the target area where 60 cats/1000 residents were neutered annually decreased by 66% during the 2-year study period, compared to a decrease of 12% in the non-target area, where only 12 cats/1000 residents were neutered annually. High-impact TNR combined with the adoption of socialized cats and nuisance resolution counseling for residents is an effective tool for reducing shelter cat intake.
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            Simulating Free-Roaming Cat Population Management Options in Open Demographic Environments

            Large populations of free-roaming cats (FRCs) generate ongoing concerns for welfare of both individual animals and populations, for human public health, for viability of native wildlife populations, and for local ecological damage. Managing FRC populations is a complex task, without universal agreement on best practices. Previous analyses that use simulation modeling tools to evaluate alternative management methods have focused on relative efficacy of removal (or trap-return, TR), typically involving euthanasia, and sterilization (or trap-neuter-return, TNR) in demographically isolated populations. We used a stochastic demographic simulation approach to evaluate removal, permanent sterilization, and two postulated methods of temporary contraception for FRC population management. Our models include demographic connectivity to neighboring untreated cat populations through natural dispersal in a metapopulation context across urban and rural landscapes, and also feature abandonment of owned animals. Within population type, a given implementation rate of the TR strategy results in the most rapid rate of population decline and (when populations are isolated) the highest probability of population elimination, followed in order of decreasing efficacy by equivalent rates of implementation of TNR and temporary contraception. Even low levels of demographic connectivity significantly reduce the effectiveness of any management intervention, and continued abandonment is similarly problematic. This is the first demographic simulation analysis to consider the use of temporary contraception and account for the realities of FRC dispersal and owned cat abandonment.
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              Non-parametric confidence interval estimation for competing risks analysis: application to contraceptive data.

              Non-parametric maximum likelihood estimation of the cause specific failure probability, and of its standard error, in the presence of competing risks is discussed with reference to some contraceptive use dynamics data from Bangladesh. The cause specific incidence function provides an intuitively appealing summary curve for failure rates and probabilities, such as probabilities of discontinuation of different kinds of contraception, based on right-censored data of the particular event. Dinse and Larson's formula can be utilized to calculate the standard error of the cause specific probability for the failure type of interest, and to construct pointwise confidence intervals. The accuracy of these intervals, as well as those based on the log(-log) transformation and the arcsine transformation, are compared by simulations. We find that Dinse and Larson's formula, used in conjuction with a log(-log) transform, yields reliable standard error estimates and accurate coverage in samples of small and large size, and can be recommended for use in this situation. Copyright 2002 John Wiley & Sons, Ltd.
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                Author and article information

                Journal
                Animals (Basel)
                Animals (Basel)
                animals
                Animals : an Open Access Journal from MDPI
                MDPI
                2076-2615
                02 January 2018
                January 2018
                : 8
                : 1
                : 5
                Affiliations
                [1 ]Gatton Campus, The University of Queensland, Queensland 4343, Australia; rien@ 123456live.com.sg (L.H.); j.rand@ 123456uq.edu.au (J.R.)
                [2 ]Australian Pet Welfare Foundation, Kenmore, Queensland 4069, Australia; jacquie@ 123456petwelfare.org.au
                [3 ]Jemora Pty Ltd., Geelong, Victoria 3220, Australia, john.morton@ 123456optusnet.com.au
                [4 ]Missing Pet Partnership, Cloverdale, CA 6105, USA; info@ 123456katalbrecht.com (K.A.); bwasson@ 123456missingpetpartnership.org (B.W.); danielle@ 123456lostpetresearch.com (D.R.)
                Author notes
                [* ]Correspondence: m.coradini@ 123456uq.edu.au ; Tel: +61-7-5460-1788
                Article
                animals-08-00005
                10.3390/ani8010005
                5789300
                29301322
                5dd69a40-6a64-43b8-b99e-e54663acbdc7
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 19 November 2017
                : 20 December 2017
                Categories
                Article

                cat,pet,missing,lost,search,snr,questionnaire
                cat, pet, missing, lost, search, snr, questionnaire

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