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      Using Google Trends to Determine Current, Past, and Future Trends in the Reptile Pet Trade

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          Abstract

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          Reptiles are one of the most popular exotic pets in the world. However, the most common pet reptiles are typically non-threatened, captive-bred, and are domestically obtained, which means they are largely unregulated and unmonitored, resulting in a large portion of the reptile pet trade remaining unknown. In this study, the most popular reptiles in the pet trade were examined using Google Trends and compared to the results from an online survey. The results determined that the most popular pet reptiles were by far bearded dragons, followed by ball pythons and leopard geckos. Conversely, green iguanas, Burmese pythons, chameleons, and red-eared sliders have declined the most in popularity. Meanwhile, crested geckos have been increasing in popularity more than any other reptile. The general finding of the study is that the reptiles declining in popularity were mostly wild-caught or restricted due to regulations, while current and future popular species were captive-bred and available in many varieties. The most popular species were also docile, medium-sized, easy to handle, and with relatively simple requirements. This study demonstrates that Google Trends can be a valuable tool in many research applications, particularly research topics which may otherwise be difficult to monitor and quantify.

          Abstract

          Reptiles are one of the most popular exotic pets in the world, with over a third of all described species currently being traded. However, the most commonly available reptiles are typically non-threatened, captive-bred, and/or domestically obtained, which means they are also largely unregulated and unmonitored, resulting in a large portion of the reptile pet trade remaining unknown. In this study, the past, current, and future trends of the most popular reptiles in the pet trade were examined. Google Trends was used to determine the global popularity of the most popular pets from 2004 to 2020 and compared to the results from an online survey sent to individuals involved in the reptile trade. The most popular pets from the previous five years were also compared globally across regions and countries. The results determined that the most popular reptile species during the last decade is by far bearded dragons, followed by ball pythons and leopard geckos. Although the survey results were similar when asked what the top reptiles were, most respondents named ball pythons as the most popular reptile. However, when asked what reptiles had lost the most popularity during the previous decade, the survey respondents named green iguanas, Burmese pythons, chameleons, red-eared sliders, and green anoles, concurring with what was found with Google Trends. The reptiles thought to be more popular in the upcoming decade by the survey participants were blue-tongued skinks, tegus, uromastyx, crested geckos, and ball pythons—most of which did indeed show an increase in popularity during the last decade, as indicated with Google Trends. The results from Google Trends demonstrated that ball pythons and crested geckos have increased their popularity more than any other reptile in the last two decades. Reptile popularity also differed between countries, with bearded dragons the most popular reptile in Australia, Western Europe, the U.S., and Canada. Leopard geckos were the most popular reptile in Italy and Turkey, and ball pythons were the reptile of choice in Mexico, Indonesia, and India. The general finding of this study is that the reptiles declining in popularity were mostly wild-caught or restricted due to regulations, while current and future species were captive-bred and available in many varieties or morphs. The most popular species were also docile, medium-sized, and easy to handle, with relatively simple care requirements. This study demonstrates that Google Trends can be a useful tool for determining relative popularity among reptiles, or any other pet group, with results closely mirroring those obtained through direct surveying of people involved in the pet trade. However, unlike surveys, this analysis is quick, quantifiable, and can show what is popular and in-demand not only at the global level but at much finer scales. Thus, Google Trends can be a valuable tool in many research applications, especially in topics that may otherwise be difficult to monitor and quantify.

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          Predicting the Present with Google Trends

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            Google trends: a web-based tool for real-time surveillance of disease outbreaks.

            Google Flu Trends can detect regional outbreaks of influenza 7-10 days before conventional Centers for Disease Control and Prevention surveillance systems. We describe the Google Trends tool, explain how the data are processed, present examples, and discuss its strengths and limitations. Google Trends shows great promise as a timely, robust, and sensitive surveillance system. It is best used for surveillance of epidemics and diseases with high prevalences and is currently better suited to track disease activity in developed countries, because to be most effective, it requires large populations of Web search users. Spikes in search volume are currently hard to interpret but have the benefit of increasing vigilance. Google should work with public health care practitioners to develop specialized tools, using Google Flu Trends as a blueprint, to track infectious diseases. Suitable Web search query proxies for diseases need to be established for specialized tools or syndromic surveillance. This unique and innovative technology takes us one step closer to true real-time outbreak surveillance.
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              Quantifying Trading Behavior in Financial Markets Using Google Trends

              Crises in financial markets affect humans worldwide. Detailed market data on trading decisions reflect some of the complex human behavior that has led to these crises. We suggest that massive new data sources resulting from human interaction with the Internet may offer a new perspective on the behavior of market participants in periods of large market movements. By analyzing changes in Google query volumes for search terms related to finance, we find patterns that may be interpreted as “early warning signs” of stock market moves. Our results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Animals (Basel)
                Animals (Basel)
                animals
                Animals : an Open Access Journal from MDPI
                MDPI
                2076-2615
                03 March 2021
                March 2021
                : 11
                : 3
                : 676
                Affiliations
                German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103 Leipzig, Germany; jose_w.valdez@ 123456idiv.de
                Author information
                https://orcid.org/0000-0003-2690-9952
                Article
                animals-11-00676
                10.3390/ani11030676
                8001315
                33802560
                a2f82974-e536-46b4-aa7a-3cf780d191d5
                © 2021 by the author.

                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
                : 08 January 2021
                : 26 February 2021
                Categories
                Article

                lizards,snakes,turtles,squamata,captive-bred,reptilia,gecko,serpentes,colubridae,bearded dragon,leopard gecko,crested gecko,tegu,ball python

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