89
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Global Patterns of Zoonotic Disease in Mammals

      review-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          As the frequency and prevalence of zoonotic diseases increase worldwide, investigating how mammal host distributions determine patterns of human disease and predicting which regions are at greatest risk for future zoonotic disease emergence are two goals which both require better understanding of the current distributions of zoonotic hosts and pathogens. We review here the existing data about mammalian host species, comparing and contrasting these patterns against global maps of zoonotic hosts from all 27 orders of terrestrial mammals. We discuss the zoonotic potential of host species from the top six most species-rich mammal groups, and review the literature to identify analytical and conceptual gaps that must be addressed to improve our ability to generate testable predictions about zoonotic diseases originating from wild mammals.

          Trends

          Predicting zoonotic disease events remains a prominent scientific challenge.

          In response to increasing frequency of emerging infectious disease events caused by animal-borne (zoonotic) pathogens, recent advances assess the biogeographic patterns of human infectious diseases.

          A disproportionate representation of mammal-borne zoonoses among emerging human disease has sparked research emphasis on mammal reservoirs because improved understanding of mammal host distributions may lead to improved predictions of future hotspots for zoonotic disease emergence.

          In addition to spatial distributions of animal hosts and human disease, the concept of ‘disease risk’ is a topic of intense analysis, and has been quantified on the basis of hindsight where regions undergoing frequent or intense human disease events are categorized as possessing numerous factors that interact to increase disease risk.

          Related collections

          Most cited references46

          • Record: found
          • Abstract: found
          • Article: not found

          Middle East respiratory syndrome coronavirus: another zoonotic betacoronavirus causing SARS-like disease.

          The source of the severe acute respiratory syndrome (SARS) epidemic was traced to wildlife market civets and ultimately to bats. Subsequent hunting for novel coronaviruses (CoVs) led to the discovery of two additional human and over 40 animal CoVs, including the prototype lineage C betacoronaviruses, Tylonycteris bat CoV HKU4 and Pipistrellus bat CoV HKU5; these are phylogenetically closely related to the Middle East respiratory syndrome (MERS) CoV, which has affected more than 1,000 patients with over 35% fatality since its emergence in 2012. All primary cases of MERS are epidemiologically linked to the Middle East. Some of these patients had contacted camels which shed virus and/or had positive serology. Most secondary cases are related to health care-associated clusters. The disease is especially severe in elderly men with comorbidities. Clinical severity may be related to MERS-CoV's ability to infect a broad range of cells with DPP4 expression, evade the host innate immune response, and induce cytokine dysregulation. Reverse transcription-PCR on respiratory and/or extrapulmonary specimens rapidly establishes diagnosis. Supportive treatment with extracorporeal membrane oxygenation and dialysis is often required in patients with organ failure. Antivirals with potent in vitro activities include neutralizing monoclonal antibodies, antiviral peptides, interferons, mycophenolic acid, and lopinavir. They should be evaluated in suitable animal models before clinical trials. Developing an effective camel MERS-CoV vaccine and implementing appropriate infection control measures may control the continuing epidemic.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Are There General Laws in Ecology?

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Spread of the tiger: global risk of invasion by the mosquito Aedes albopictus.

              Aedes albopictus, commonly known as the Asian tiger mosquito, is currently the most invasive mosquito in the world. It is of medical importance due to its aggressive daytime human-biting behavior and ability to vector many viruses, including dengue, LaCrosse, and West Nile. Invasions into new areas of its potential range are often initiated through the transportation of eggs via the international trade in used tires. We use a genetic algorithm, Genetic Algorithm for Rule Set Production (GARP), to determine the ecological niche of Ae. albopictus and predict a global ecological risk map for the continued spread of the species. We combine this analysis with risk due to importation of tires from infested countries and their proximity to countries that have already been invaded to develop a list of countries most at risk for future introductions and establishments. Methods used here have potential for predicting risks of future invasions of vectors or pathogens.
                Bookmark

                Author and article information

                Contributors
                Journal
                Trends Parasitol
                Trends Parasitol
                Trends in Parasitology
                Elsevier Ltd.
                1471-4922
                1471-5007
                14 June 2016
                July 2016
                14 June 2016
                : 32
                : 7
                : 565-577
                Affiliations
                [1 ]Cary Institute of Ecosystem Studies, Box AB Millbrook, NY 12545, USA
                [2 ]Odum School of Ecology, University of Georgia, 140 East Green Street, Athens, GA 30602, USA
                [3 ]Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA 30602, USA
                Author notes
                Article
                S1471-4922(16)30010-1
                10.1016/j.pt.2016.04.007
                4921293
                27316904
                d3e375dd-5e9e-46b4-86e0-e8fe72f54fea
                © 2016 Elsevier Ltd. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                Categories
                Article

                Parasitology
                macroecology,infectious disease,biogeography,hotspot,risk,prediction
                Parasitology
                macroecology, infectious disease, biogeography, hotspot, risk, prediction

                Comments

                Comment on this article