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      Worldwide dynamic biogeography of zoonotic and anthroponotic dengue

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          Abstract

          Dengue is a viral disease transmitted by mosquitoes. The rapid spread of dengue could lead to a global pandemic, and so the geographical extent of this spread needs to be assessed and predicted. There are also reasons to suggest that transmission of dengue from non-human primates in tropical forest cycles is being underestimated. We investigate the fine-scale geographic changes in transmission risk since the late 20 th century, and take into account for the first time the potential role that primate biogeography and sylvatic vectors play in increasing the disease transmission risk. We apply a biogeographic framework to the most recent global dataset of dengue cases. Temporally stratified models describing favorable areas for vector presence and for disease transmission are combined. Our models were validated for predictive capacity, and point to a significant broadening of vector presence in tropical and non-tropical areas globally. We show that dengue transmission is likely to spread to affected areas in China, Papua New Guinea, Australia, USA, Colombia, Venezuela, Madagascar, as well as to cities in Europe and Japan. These models also suggest that dengue transmission is likely to spread to regions where there are presently no or very few reports of occurrence. According to our results, sylvatic dengue cycles account for a small percentage of the global extent of the human case record, but could be increasing in relevance in Asia, Africa, and South America. The spatial distribution of factors favoring transmission risk in different regions of the world allows for distinct management strategies to be prepared.

          Author summary

          The rate of disease emergence is increasing globally, and many long-existing diseases are extending their distribution ranges. This is the case for dengue, a global pandemic whose mosquito vectors are currently occupying ever-increasing numbers of regions worldwide. We updated the most complete global dataset of dengue cases available, and addressed the fine-scale analysis of the geographic changes experienced in dengue-transmission risk since the late 20 th century. Our approach is the first to take into account the potential role of primates and sylvatic vectors in increasing the disease transmission risk in tropical forests. We built models that describe the favorable areas for vector presence and for disease occurrence, and combined them in order to obtain a novel model for predicting transmission risk. We show that dengue transmission is likely to spread to affected areas in Asia, Africa, North and South America, and Oceania, and to regions with presently no or very few cases, including cities in Europe and Japan. The global contribution of sylvatic dengue cycles is small but meaningful. Our methodological approach can differentiate the factors favoring risk in different world regions, thus allowing for management strategies to be prepared specifically for each of these regions.

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          Most cited references108

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

            Signaling through the Ror2 receptor tyrosine kinase promotes invadopodia formation for tumor invasion. Here, we identify intraflagellar transport 20 (IFT20) as a new target of this signaling in tumors that lack primary cilia, and find that IFT20 mediates the ability of Ror2 signaling to induce the invasiveness of these tumors. We also find that IFT20 regulates the nucleation of Golgi-derived microtubules by affecting the GM130-AKAP450 complex, which promotes Golgi ribbon formation in achieving polarized secretion for cell migration and invasion. Furthermore, IFT20 promotes the efficiency of transport through the Golgi complex. These findings shed new insights into how Ror2 signaling promotes tumor invasiveness, and also advance the understanding of how Golgi structure and transport can be regulated.
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              Applied Logistic Regression

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: ResourcesRole: VisualizationRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Negl Trop Dis
                PLoS Negl Trop Dis
                plos
                PLoS Neglected Tropical Diseases
                Public Library of Science (San Francisco, CA USA )
                1935-2727
                1935-2735
                7 June 2021
                June 2021
                : 15
                : 6
                : e0009496
                Affiliations
                [1 ] Grupo de Biogeografía, Diversidad y Conservación, Departamento de Biología Animal, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain
                [2 ] Instituto IBYDA, Centro de Experimentación Grice-Hutchinson, Málaga, Spain
                [3 ] Centro de Vacunación Internacional de Málaga, Ministerio de Sanidad, Consumo y Bienestar Social, Málaga, Spain
                [4 ] Laboratorio de Desarrollo Sustentable y Gestión Ambiental del Territorio, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
                [5 ] Division of Biology and Conservation Ecology, Manchester Metropolitan University, Manchester, United Kingdom
                [6 ] Center for International Forestry Research (CIFOR), CIFOR Headquarters, Bogor, Indonesia
                NIAID Integrated Research Facility, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-8721-6896
                https://orcid.org/0000-0001-8854-427X
                https://orcid.org/0000-0002-6642-1284
                https://orcid.org/0000-0001-8125-7980
                https://orcid.org/0000-0003-4540-6349
                https://orcid.org/0000-0003-1714-0360
                Article
                PNTD-D-20-01917
                10.1371/journal.pntd.0009496
                8211191
                34097704
                6c7ae27e-98b3-4ceb-9cdb-09c22f285e0e
                © 2021 Aliaga-Samanez et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 30 October 2020
                : 22 May 2021
                Page count
                Figures: 5, Tables: 2, Pages: 30
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100010198, Ministerio de Economía, Industria y Competitividad, Gobierno de España;
                Award ID: CGL2016-76747-R
                Funded by: Spanish Ministry of Education
                Award ID: FPU16/06710
                Award Recipient :
                This study was supported by the Project CGL2016-76747-R, of the Spanish Ministry of Economy, Industry and Competitiveness and the European Regional Development Fund. AA-S was supported by the FPU16/06710 grant of the Spanish Ministry of Education. JEF was funded by USAID as part of the Bushmeat Research Initiative of the CGIAR research program on Forests, Trees and Agroforestry. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Medical Conditions
                Tropical Diseases
                Neglected Tropical Diseases
                Dengue Fever
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Viral Diseases
                Dengue Fever
                Medicine and Health Sciences
                Epidemiology
                Medical Risk Factors
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Disease Vectors
                Biology and Life Sciences
                Species Interactions
                Disease Vectors
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Mammals
                Primates
                Biology and Life Sciences
                Zoology
                Animals
                Vertebrates
                Amniotes
                Mammals
                Primates
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Disease Vectors
                Insect Vectors
                Mosquitoes
                Biology and Life Sciences
                Species Interactions
                Disease Vectors
                Insect Vectors
                Mosquitoes
                Biology and Life Sciences
                Zoology
                Entomology
                Insects
                Mosquitoes
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Invertebrates
                Arthropoda
                Insects
                Mosquitoes
                Biology and Life Sciences
                Zoology
                Animals
                Invertebrates
                Arthropoda
                Insects
                Mosquitoes
                People and Places
                Geographical Locations
                Asia
                People and Places
                Geographical Locations
                Africa
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Zoonoses
                Custom metadata
                vor-update-to-uncorrected-proof
                2021-06-17
                The data with the compendium of dengue cases from 2013 to 2017 that support the findings of this study are available in Dryad Digital Repository at https://doi.org/10.5061/dryad.9w0vt4bfv.

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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