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Del-Águila-Mejía J, Morilla F, Donado-Campos JDM. A system dynamics modelling and analytical framework for imported dengue outbreak surveillance and risk mapping. Acta Trop 2024; 257:107304. [PMID: 38942132 DOI: 10.1016/j.actatropica.2024.107304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 06/24/2024] [Accepted: 06/25/2024] [Indexed: 06/30/2024]
Abstract
System Dynamics (SD) models have been used to understand complex, multi-faceted dengue transmission dynamics, but a gap persists between research and actionable public health tools for decision-making. Spain is an at-risk country of imported dengue outbreaks, but only qualitative assessments are available to guide public health action and control. We propose a modular SD model combining temperature-dependent vector population, transmission parameters, and epidemiological interactions to simulate outbreaks from imported cases accounting for heterogeneous local climate-related transmission patterns. Under our assumptions, 15 provinces sustain vector populations capable of generating outbreaks from imported cases, with heterogeneous risk profiles regarding seasonality, magnitude and risk window shifting from late Spring to early Autum. Results being relative to given vector-to-human populations allow flexibility when translating outcomes between geographic scales. The model and the framework are meant to serve public health by incorporating transmission dynamics and quantitative-qualitative input to the evidence-based decision-making chain. It is a flexible tool that can easily adapt to changing contexts, parametrizations and epidemiological settings thanks to the modular approach.
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Affiliation(s)
- Javier Del-Águila-Mejía
- Departamento de Medicina Preventiva y Salud Pública y Microbiología, Facultad de Medicina, Universidad Autónoma de Madrid, C. Arzobispo Morcillo, 4, Madrid 28029, Spain; Servicio de Medicina Preventiva, Hospital Universitario de Móstoles, C. Dr. Luis Montes s/n, Madrid, Móstoles 28935, Spain.
| | - Fernando Morilla
- Departamento de Informática y Automática, Universidad Nacional de Educación a Distancia, Juan del Rosal 16, Madrid 28040, Spain
| | - Juan de Mata Donado-Campos
- Departamento de Medicina Preventiva y Salud Pública y Microbiología, Facultad de Medicina, Universidad Autónoma de Madrid, C. Arzobispo Morcillo, 4, Madrid 28029, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Calle Monforte de Lemos 3-5, Madrid 28029, Spain; Departamento de Medicina, Facultad de Ciencias Biomédicas y de la Salud, Universidad Europea de Madrid, C. Tajo, s/n, Madrid, Villaviciosa de Odón 28670, Spain; Instituto de Investigación Sanitaria del Hospital Universitario La Paz (IdiPAZ), Universidad Autónoma de Madrid, C. Arzobispo Morcillo 4, Madrid 28029, Spain
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2
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Da Re D, Marini G, Bonannella C, Laurini F, Manica M, Anicic N, Albieri A, Angelini P, Arnoldi D, Blaha M, Bertola F, Caputo B, De Liberato C, Della Torre A, Flacio E, Franceschini A, Gradoni F, Kadriaj P, Lencioni V, Del Lesto I, La Russa F, Lia RP, Montarsi F, Otranto D, L'Ambert G, Rizzoli A, Rombolà P, Romiti F, Stancher G, Torina A, Velo E, Virgillito C, Zandonai F, Rosà R. VectAbundance: a spatio-temporal database of Aedes mosquitoes observations. Sci Data 2024; 11:636. [PMID: 38879616 PMCID: PMC11180130 DOI: 10.1038/s41597-024-03482-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 06/05/2024] [Indexed: 06/19/2024] Open
Abstract
Modelling approaches play a crucial role in supporting local public health agencies by estimating and forecasting vector abundance and seasonality. However, the reliability of these models is contingent on the availability of standardized, high-quality data. Addressing this need, our study focuses on collecting and harmonizing egg count observations of the mosquito Aedes albopictus, obtained through ovitraps in monitoring and surveillance efforts across Albania, France, Italy, and Switzerland from 2010 to 2022. We processed the raw observations to obtain a continuous time series of ovitraps observations allowing for an extensive geographical and temporal coverage of Ae. albopictus population dynamics. The resulting post-processed observations are stored in the open-access database VectAbundance.This initiative addresses the critical need for accessible, high-quality data, enhancing the reliability of modelling efforts and bolstering public health preparedness.
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Affiliation(s)
- Daniele Da Re
- Center Agriculture Food Environment, University of Trento, San Michele all'Adige, Italy.
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
| | - Giovanni Marini
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
- Epilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy
| | - Carmelo Bonannella
- OpenGeoHub Foundation, Doorwerth, The Netherlands
- Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, The Netherlands
| | - Fabrizio Laurini
- Department of Economics and Management, University of Parma, Parma, Italy
| | - Mattia Manica
- Epilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy
- Bruno Kessler Foundation, Trento, Italy
| | - Nikoleta Anicic
- Institute of Microbiology, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Mendrisio, Switzerland
| | | | | | - Daniele Arnoldi
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Marharyta Blaha
- Center Agriculture Food Environment, University of Trento, San Michele all'Adige, Italy
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | | | - Beniamino Caputo
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy
| | - Claudio De Liberato
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Viterbo, Italy
| | - Alessandra Della Torre
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy
| | - Eleonora Flacio
- Institute of Microbiology, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Mendrisio, Switzerland
| | | | | | | | | | - Irene Del Lesto
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Viterbo, Italy
| | - Francesco La Russa
- Istituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy
| | | | | | - Domenico Otranto
- Department of Veterinary Medicine, University of Bari, Bari, Italy
- Department of Veterinary Clinical Sciences, City University of Hong Kong, Hong Kong, People's Republic of China
| | | | - Annapaola Rizzoli
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
- Epilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy
| | - Pasquale Rombolà
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Viterbo, Italy
| | - Federico Romiti
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Viterbo, Italy
| | | | | | | | - Chiara Virgillito
- Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy
| | | | - Roberto Rosà
- Center Agriculture Food Environment, University of Trento, San Michele all'Adige, Italy
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
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3
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Yang C, Futami K, Nihei N, Fujita R, Ogino K, Hirabayashi K, Yonejima M, Otsuka Y, Nakamura S, Taira K, Owhashi M, Motoki M, Hashimoto T, Minagawa K, Kasai S, Higa Y. Tiger prowling: Distribution modelling for northward-expanding Aedes albopictus (Diptera: Culicidae) in Japan. PLoS One 2024; 19:e0303137. [PMID: 38722911 PMCID: PMC11081387 DOI: 10.1371/journal.pone.0303137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 04/20/2024] [Indexed: 05/13/2024] Open
Abstract
The Asian tiger mosquito, Aedes albopictus, is a significant public health concern owing to its expanding habitat and vector competence. Disease outbreaks attributed to this species have been reported in areas under its invasion, and its northward expansion in Japan has caused concern because of the potential for dengue virus infection in newly populated areas. Accurate prediction of Ae. albopictus distribution is crucial to prevent the spread of the disease. However, limited studies have focused on the prediction of Ae. albopictus distribution in Japan. Herein, we used the random forest model, a machine learning approach, to predict the current and potential future habitat ranges of Ae. albopictus in Japan. The model revealed that these mosquitoes prefer urban areas over forests in Japan on the current map. Under predictions for the future, the species will expand its range to the surrounding areas and eventually reach many areas of northeastern Kanto, Tohoku District, and Hokkaido, with a few variations in different scenarios. However, the affected human population is predicted to decrease owing to the declining birth rate. Anthropogenic and climatic factors contribute to range expansion, and urban size and population have profound impacts. This prediction map can guide responses to the introduction of this species in new areas, advance the spatial knowledge of diseases vectored by it, and mitigate the possible disease burden. To our knowledge, this is the first distribution-modelling prediction for Ae. albopictus with a focus on Japan.
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Affiliation(s)
- Chao Yang
- Department of Medical Entomology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan
| | - Kyoko Futami
- Institute of Tropical Medicine, Nagasaki University, Nagasaki, Nagasaki, Japan
| | - Naoko Nihei
- Department of Medical Entomology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan
| | - Ryosuke Fujita
- Laboratory of Sanitary Entomology, Faculty of Agriculture, Kyushu University, Fukuoka, Fukuoka, Japan
| | - Kazumasa Ogino
- Department of Immunology and Parasitology, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan
| | - Kimio Hirabayashi
- Institution of Textile Science and Technology, Academic Assembly, Shinshu University, Matsumoto, Nagano, Japan
| | - Mayuko Yonejima
- Faculty of Humanities and Social Sciences, Kumamoto University, Kumamoto, Kumamoto, Japan
| | - Yasushi Otsuka
- International Center for Island Studies, Kagoshima University, Kagoshima, Kagoshima, Japan
| | - Satoshi Nakamura
- Faculty of Nursing, Hiroshima Bunka Gakuen University, Kure, Hiroshima, Japan
| | - Kensuke Taira
- Laboratory of Parasitology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa, Japan
| | | | | | - Tomoyuki Hashimoto
- Environmental Biology & Living Environment Department, Japan Environmental Sanitation Center, Kawasaki, Kanagawa, Japan
| | - Keiko Minagawa
- Environmental Biology & Living Environment Department, Japan Environmental Sanitation Center, Kawasaki, Kanagawa, Japan
| | - Shinji Kasai
- Department of Medical Entomology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan
| | - Yukiko Higa
- Department of Medical Entomology, National Institute of Infectious Diseases, Shinjuku, Tokyo, Japan
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4
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García-San-Miguel L, Giménez-Durán J, Saravia-Campelli G, Calvo-Reyes MC, Fernández-Martínez B, Frank C, Wilking H, García Janer R, Miranda MÁ, Aznar Cano E, Sierra Moros MJ, Riutort AN. Detection of dengue in German tourists returning from Ibiza, Spain, related to an autochthonous outbreak, August to October 2022. Euro Surveill 2024; 29:2300296. [PMID: 38577804 PMCID: PMC11004590 DOI: 10.2807/1560-7917.es.2024.29.14.2300296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/27/2023] [Indexed: 04/06/2024] Open
Abstract
In February 2023, German public health authorities reported two dengue cases (one confirmed, one probable) and four possible cases who travelled to Ibiza, Spain, in late summer/autumn 2022; the infection was probably acquired through mosquito bites. Case 1 visited Ibiza over 1 week in late August with two familial companions; all three developed symptoms the day after returning home. Only Case 1 was tested; dengue virus (DENV) infection was confirmed by presence of NS1 antigen and IgM antibodies. Case 2 travelled to Ibiza with two familial companions for 1 week in early October, and stayed in the same town as Case 1. Case 2 showed symptoms on the day of return, and the familial companions 1 day before and 3 days after return; Case 2 tested positive for DENV IgM. The most probable source case had symptom onset in mid-August, and travelled to a dengue-endemic country prior to a stay in the same municipality of Ibiza for 20 days, until the end of August. Dengue diagnosis was probable based on positive DENV IgM. Aedes albopictus, a competent vector for dengue, has been present in Ibiza since 2014. This is the first report of a local dengue transmission event on Ibiza.
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Affiliation(s)
- Lucía García-San-Miguel
- Centro de Coordinación de Alertas y Emergencias Sanitarias, Ministerio de Sanidad, Madrid, Spain
| | - Jaume Giménez-Durán
- Conselleria de Salut i Consum, Illes Balears, Dirección General de Salud Pública y Participación, Palma de Mallorca, Spain
- Servicio de Epidemiología, Palma de Mallorca, Spain
- IDISBA, Institut d'Investigació Sanitària Illes Balears, Palma de Mallorca, Spain
| | | | - María Cruz Calvo-Reyes
- Centro de Coordinación de Alertas y Emergencias Sanitarias, Ministerio de Sanidad, Madrid, Spain
| | - Beatriz Fernández-Martínez
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain
- CIBER de Enfermedades infecciosas CIBERINFEC Network
| | - Christina Frank
- Department for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany
| | - Hendrik Wilking
- Department for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany
| | - Ramón García Janer
- Conselleria de Salut i Consum, Illes Balears, Dirección General de Salud Pública y Participación, Palma de Mallorca, Spain
- Servicio de Salud Ambiental, Negociado zoonosis, Palma de Mallorca, Spain
| | - Miguel Ángel Miranda
- Applied Zoology and Animal Conservation research group, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Esteban Aznar Cano
- Centro de Coordinación de Alertas y Emergencias Sanitarias, Ministerio de Sanidad, Madrid, Spain
| | - Mª José Sierra Moros
- Centro de Coordinación de Alertas y Emergencias Sanitarias, Ministerio de Sanidad, Madrid, Spain
- CIBER de Enfermedades infecciosas CIBERINFEC Network
| | - Antonio Nicolau Riutort
- Conselleria de Salut i Consum, Illes Balears, Dirección General de Salud Pública y Participación, Palma de Mallorca, Spain
- Servicio de Epidemiología, Palma de Mallorca, Spain
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5
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Cerri J, Sciandra C, Contardo T, Bertolino S. Local Economic Conditions Affect Aedes albopictus Management. ECOHEALTH 2024; 21:9-20. [PMID: 38658454 PMCID: PMC11127834 DOI: 10.1007/s10393-024-01682-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 12/01/2023] [Accepted: 03/19/2024] [Indexed: 04/26/2024]
Abstract
Invasive mosquitoes are an emerging public health issue, as many species are competent vectors for pathogens. We assessed how multiple environmental and socio-economic factors affected the engagement of municipalities in Italy (n = 7679) in actions against Aedes albopictus, an invasive mosquito affecting human health and well-being, between 2000 and 2020. We collected information about mosquito control from official documents and municipal websites and modeled the role played by multiple environmental and socioeconomic factors characterizing each municipality through the random forest algorithm. Municipalities are more prone to manage A. albopictus if more urbanized, in lowlands and with long infestation periods. Moreover, these variables are more predictive of management in municipalities with a high median income and thus more economic resources. Only 25.5% of Italian municipalities approved regulations for managing A. albopictus, and very few of them were in Southern Italy, the most deprived area of the country. Our findings indicate that local economic conditions moderate the effect of other drivers of mosquito control and ultimately can lead to better management of A. albopictus. If the management of invasive mosquitoes, or other forms of global change, is subjected to local economic conditions, economic inequalities will jeopardize the success of large-scale policies, also raising issues of environmental and climate justice.
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Affiliation(s)
- Jacopo Cerri
- Dipartimento di Medicina Veterinaria, Università degli Studi di Sassari, Via Vienna 2, 07100, Sassari, Italy.
| | - Chiara Sciandra
- Research Centre for Plant Protection and Certification (CREA-DC), Florence, Italy
| | - Tania Contardo
- Dipartimento di Ingegneria Civile, Architettura, Territorio, Ambiente e di Matematica, Università degli Studi di Brescia, Via Branze 43, 25121, Brescia, Italy
| | - Sandro Bertolino
- Dipartimento di Scienze Della Vita e Biologia dei Sistemi, Università degli Studi di Torino, Via Accademia Albertina 13, 10123, Turin, Italy
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6
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Garrido M, Veiga J, Garrigós M, Morales-Yuste M, Recuero-Gil J, Martínez-de la Puente J. Aedes albopictus in a recently invaded area in Spain: effects of trap type, locality, and season on mosquito captures. Sci Rep 2024; 14:2131. [PMID: 38267495 PMCID: PMC10808092 DOI: 10.1038/s41598-024-52040-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 01/12/2024] [Indexed: 01/26/2024] Open
Abstract
Mosquitoes are primary vectors of pathogens impacting humans, wildlife, and livestock. Among them, the Asian tiger mosquito, Aedes albopictus, stands out as an invasive species with a global distribution, having established populations on every continent except Antarctica. Recent findings incriminate Ae. albopictus in the local transmission of several pathogens causing human diseases, including dengue, chikungunya, and Zika viruses and worm parasites as Dirofilaria. In Spain, the establishment of Ae. albopictus occurred in 2004 and it rapidly expanded, currently reaching southern provinces and creating novel epidemiological scenarios in recently invaded areas. In this study, we conducted captures of Ae. albopictus from May to November 2022 in two provinces, Granada and Malaga, situated near the current edge of the species' expanding range in Spain. The objective was to identify the primary factors influencing their captures in these regions. Mosquitoes were captured using BG-Sentinel traps baited with CO2 and BG-Lure, and miniature CDC-UV traps in five different localities. Our findings underscore the influence of both extrinsic factors, such as locality, and intrinsic factors, including mosquito sex, on the abundance of captured Ae. albopictus. A higher abundance of Ae. albopictus was observed in the Malaga province compared to localities in the Granada province. Furthermore, similar numbers of Ae. albopictus mosquitoes were captured in more urbanized areas of Granada, while the lowest counts were recorded in the less urbanized area. These results were compared to captures of another common species in the area, specifically Culex pipiens. Overall, these results represent the first monitoring of invasive Ae. albopictus in the area and are discussed in the light of the potential importance of the species as a nuisance for humans and vectors of pathogens of public health relevance.
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Affiliation(s)
- Mario Garrido
- Department of Parasitology, University of Granada (UGR), Granada, Spain.
| | - Jesús Veiga
- Department of Parasitology, University of Granada (UGR), Granada, Spain
| | - Marta Garrigós
- Department of Parasitology, University of Granada (UGR), Granada, Spain
| | | | | | - Josué Martínez-de la Puente
- Department of Parasitology, University of Granada (UGR), Granada, Spain
- Doñana Biological Station (EBD, CSIC), Sevilla, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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7
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Zadra N, Tatti A, Silverj A, Piccinno R, Devilliers J, Lewis C, Arnoldi D, Montarsi F, Escuer P, Fusco G, De Sanctis V, Feuda R, Sánchez-Gracia A, Rizzoli A, Rota-Stabelli O. Shallow Whole-Genome Sequencing of Aedes japonicus and Aedes koreicus from Italy and an Updated Picture of Their Evolution Based on Mitogenomics and Barcoding. INSECTS 2023; 14:904. [PMID: 38132578 PMCID: PMC10743467 DOI: 10.3390/insects14120904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023]
Abstract
Aedes japonicus and Aedes koreicus are two invasive mosquitoes native to East Asia that are quickly establishing in temperate regions of Europe. Both species are vectors of arboviruses, but we currently lack a clear understanding of their evolution. Here, we present new short-read, shallow genome sequencing of A. japonicus and A. koreicus individuals from northern Italy, which we used for downstream phylogenetic and barcode analyses. We explored associated microbial DNA and found high occurrences of Delftia bacteria in both samples, but neither Asaia nor Wolbachia. We then assembled complete mitogenomes and used these data to infer divergence times estimating the split of A. japonicus from A. koreicus in the Oligocene, which was more recent than that previously reported using mitochondrial markers. We recover a younger age for most other nodes within Aedini and other Culicidae. COI barcoding and phylogenetic analyses indicate that A. japonicus yaeyamensis, A. japonicus amamiensis, and the two A. koreicus sampled from Europe should be considered as separate species within a monophyletic species complex. Our studies further clarify the evolution of A. japonicus and A. koreicus, and indicate the need to obtain whole-genome data from putative species in order to disentangle their complex patterns of evolution.
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Affiliation(s)
- Nicola Zadra
- Center Agriculture Food Environment (C3A), University of Trento, 38010 San Michele all’Adige, Italy; (N.Z.); (A.T.); (A.S.); (R.P.)
- CIBIO Department, University of Trento, 38123 Trento, Italy;
- Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all’Adige, Italy; (D.A.); (A.R.)
| | - Alessia Tatti
- Center Agriculture Food Environment (C3A), University of Trento, 38010 San Michele all’Adige, Italy; (N.Z.); (A.T.); (A.S.); (R.P.)
- Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all’Adige, Italy; (D.A.); (A.R.)
- Department of Biology, University of Padova, 35121 Padova, Italy;
- University School for Advanced Studies IUSS Pavia, 27100 Pavia, Italy
| | - Andrea Silverj
- Center Agriculture Food Environment (C3A), University of Trento, 38010 San Michele all’Adige, Italy; (N.Z.); (A.T.); (A.S.); (R.P.)
- CIBIO Department, University of Trento, 38123 Trento, Italy;
- Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all’Adige, Italy; (D.A.); (A.R.)
| | - Riccardo Piccinno
- Center Agriculture Food Environment (C3A), University of Trento, 38010 San Michele all’Adige, Italy; (N.Z.); (A.T.); (A.S.); (R.P.)
- Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all’Adige, Italy; (D.A.); (A.R.)
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, 27100 Pavia, Italy
| | - Julien Devilliers
- Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK; (J.D.); (C.L.); (R.F.)
| | - Clifton Lewis
- Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK; (J.D.); (C.L.); (R.F.)
| | - Daniele Arnoldi
- Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all’Adige, Italy; (D.A.); (A.R.)
| | - Fabrizio Montarsi
- Istituto Zooprofilattico Sperimentale Delle Venezie, 35020 Legnaro, Italy;
| | - Paula Escuer
- Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, 08028 Barcelona, Spain; (P.E.); (A.S.-G.)
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, 08007 Barcelona, Spain
| | - Giuseppe Fusco
- Department of Biology, University of Padova, 35121 Padova, Italy;
| | | | - Roberto Feuda
- Department of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK; (J.D.); (C.L.); (R.F.)
| | - Alejandro Sánchez-Gracia
- Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, 08028 Barcelona, Spain; (P.E.); (A.S.-G.)
- Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, 08007 Barcelona, Spain
| | - Annapaola Rizzoli
- Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all’Adige, Italy; (D.A.); (A.R.)
| | - Omar Rota-Stabelli
- Center Agriculture Food Environment (C3A), University of Trento, 38010 San Michele all’Adige, Italy; (N.Z.); (A.T.); (A.S.); (R.P.)
- CIBIO Department, University of Trento, 38123 Trento, Italy;
- Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all’Adige, Italy; (D.A.); (A.R.)
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8
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Nie P, Feng J. Niche and Range Shifts of Aedes aegypti and Ae. albopictus Suggest That the Latecomer Shows a Greater Invasiveness. INSECTS 2023; 14:810. [PMID: 37887822 PMCID: PMC10607146 DOI: 10.3390/insects14100810] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/27/2023] [Accepted: 10/10/2023] [Indexed: 10/28/2023]
Abstract
The yellow fever (Aedes aegypti) and Asian tiger (Ae. albopictus) mosquitos are major vectors of global mosquito-borne pathogens. However, their niche and range shifts, the underlying mechanisms, and related relative invasion rates remain scarcely known. We examined the niche and range shifts between the native and invasive Ae. aegypti and Ae. albopictus populations through dynamic niche and range models and the largest occurrence record datasets to date. We detected substantial niche and range expansions in both species, probably because the introduced populations have more opportunities to acclimate to diverse environmental conditions than their native counterparts. Mitigating climate change could effectively control their future invasions, given that future climate changes could promote their invasiveness. Additionally, compared to the introduced Ae. aegypti, the more recent invader Ae. albopictus had greater niche and range expansion over its shorter invasion history. In terms of the range shifts, Ae. albopictus had an invasion rate approximately 13.3 times faster than that of Ae. aegypti, making it a more invasive vector of global mosquito-borne pathogens. Therefore, considering its higher invasion rate, much more attention should be paid to Ae. albopictus in devising our strategies against prevailing global mosquito-borne pathogens than Ae. aegypti. Since small niche shifts could result in their large range shifts, niche shifts might be a more important indicator for biological invasion assessments.
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Affiliation(s)
| | - Jianmeng Feng
- College of Agriculture and Biological Science, Dali University, Dali 671003, China
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9
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Padonou GG, Konkon AK, Salako AS, Zoungbédji DM, Ossè R, Sovi A, Azondekon R, Sidick A, Ahouandjinou JM, Adoha CJ, Sominahouin AA, Tokponnon FT, Akinro B, Sina H, Baba-Moussa L, Akogbéto MC. Distribution and Abundance of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in Benin, West Africa. Trop Med Infect Dis 2023; 8:439. [PMID: 37755900 PMCID: PMC10535150 DOI: 10.3390/tropicalmed8090439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 08/30/2023] [Accepted: 09/05/2023] [Indexed: 09/28/2023] Open
Abstract
Updated information on the distribution and abundance of Aedes aegypti and Aedes albopictus is crucial to prepare African countries, such as Benin, for possible arboviral disease outbreaks. This study aims to evaluate the geographical distribution, abundance and biting behaviour of these two vectors in Benin. Three sampling techniques were used in this study. The collection of Aedes spp. adults were made through human landing catch (HLC), immatures were captured with the use of ovitraps, and a dipping technique was used for the collection of Aedes spp. in 23 communes located along the North-South and East-West transect of Benin. Adult Aedes mosquitoes were collected indoors and outdoors using HLC. Mosquito eggs, larvae and pupae were collected from containers and ovitraps. The adult mosquitoes were morphologically identified, then confirmed using a polymerase chain reaction (PCR). Overall, 12,424 adult specimens of Aedes spp. were collected, out of which 76.53% (n = 9508) and 19.32% (n = 2400) were morphologically identified as Ae. aegypti and Ae. albopictus, respectively. Geographically, Ae. aegypti was found across the North-South transect unlike Ae. albopictus, which was only encountered in the southern part of the country, with a great preponderance in Avrankou. Furthermore, an exophagic behaviour was observed in both vectors. This updated distribution of Aedes mosquito species in Benin will help to accurately identify areas that are at risk of arboviral diseases and better plan for future vector control interventions.
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Affiliation(s)
- Germain Gil Padonou
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
- Laboratory of Biology and Molecular Typing in Microbiology, Department of Biochemistry and Cellular Biology, Faculty of Sciences and Techniques, University of Abomey-Calavi, Cotonou 05 BP 1604, Benin; (H.S.); (L.B.-M.)
| | - Alphonse Keller Konkon
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
- Laboratory of Biology and Molecular Typing in Microbiology, Department of Biochemistry and Cellular Biology, Faculty of Sciences and Techniques, University of Abomey-Calavi, Cotonou 05 BP 1604, Benin; (H.S.); (L.B.-M.)
| | - Albert Sourou Salako
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
| | - David Mahouton Zoungbédji
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
- Laboratory of Biology and Molecular Typing in Microbiology, Department of Biochemistry and Cellular Biology, Faculty of Sciences and Techniques, University of Abomey-Calavi, Cotonou 05 BP 1604, Benin; (H.S.); (L.B.-M.)
| | - Razaki Ossè
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
- École de Gestion et d’Exploitation des Systèmes d’Élevage, Université Nationale d’Agriculture de Porto-Novo, Porto-Novo 01 BP 55, Benin
| | - Arthur Sovi
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
- Faculty of Agronomy, University of Parakou, Parakou BP 123, Benin
- Faculty of Infectious and Tropical Diseases, Disease Control Department, The London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, UK
| | - Roseric Azondekon
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
| | - Aboubakar Sidick
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
| | - Juvénal Minassou Ahouandjinou
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
- Laboratory of Biology and Molecular Typing in Microbiology, Department of Biochemistry and Cellular Biology, Faculty of Sciences and Techniques, University of Abomey-Calavi, Cotonou 05 BP 1604, Benin; (H.S.); (L.B.-M.)
| | - Constantin Jesukèdè Adoha
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
- Laboratory of Biology and Molecular Typing in Microbiology, Department of Biochemistry and Cellular Biology, Faculty of Sciences and Techniques, University of Abomey-Calavi, Cotonou 05 BP 1604, Benin; (H.S.); (L.B.-M.)
| | - André Aimé Sominahouin
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
| | - Filémon Tatchémè Tokponnon
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
| | - Bruno Akinro
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
| | - Haziz Sina
- Laboratory of Biology and Molecular Typing in Microbiology, Department of Biochemistry and Cellular Biology, Faculty of Sciences and Techniques, University of Abomey-Calavi, Cotonou 05 BP 1604, Benin; (H.S.); (L.B.-M.)
| | - Lamine Baba-Moussa
- Laboratory of Biology and Molecular Typing in Microbiology, Department of Biochemistry and Cellular Biology, Faculty of Sciences and Techniques, University of Abomey-Calavi, Cotonou 05 BP 1604, Benin; (H.S.); (L.B.-M.)
| | - Martin Codjo Akogbéto
- Centre de Recherche Entomologique de Cotonou (CREC), Cotonou 06 BP 2604, Benin; (A.K.K.); (A.S.S.); (D.M.Z.); (R.O.); (R.A.); (A.S.); (J.M.A.); (C.J.A.); (A.A.S.); (F.T.T.); (B.A.); (M.C.A.)
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10
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Wang F, Zhu Y, Zhang H, Fan J, Leng P, Zhou J, Yao S, Yang D, Liu Y, Wang J, Yao J, Zhou Y, Zhao T. Spatial and temporal analyses of the influences of meteorological and environmental factors on Aedes albopictus (Diptera: Culicidae) population dynamics during the peak abundance period at a city scale. Acta Trop 2023:106964. [PMID: 37307888 DOI: 10.1016/j.actatropica.2023.106964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/31/2023] [Accepted: 06/05/2023] [Indexed: 06/14/2023]
Abstract
Aedes albopictus (Diptera: Culicidae) is a major vector of multiple diseases. While vaccines have been developed, preventing these Aedes-borne diseases continues to primarily depend on monitoring and controlling the vector population. Despite increasing research on the impacts of various factors on Ae. albopictus population dynamics, there is still no consensus on how meteorological or environmental factors affect vector distribution. In this study, the relationships between mosquito abundance and meteorological and environmental indicators were examined at the town level based on data collected from July to September, the peak abundance period of 2019 in Shanghai. In addition to performing Poisson regression, we employed the geographically weighted Poisson regression model to account for spatial dependency and heterogeneity. The result showed that the environmental factors (notably human population density, the Normalized Difference Vegetation Index (NDVI), socioeconomic deprivation, and road density) had more significant impacts than the meteorological variables in accounting for the spatial variation of mosquito abundance at a city scale. The dominant environmental variable differed in urban and rural places. Furthermore, our findings indicated that deprived townships are more susceptible to higher vector densities compared to non-deprived townships. Therefore, it is crucial not only to allocate more resources but also to increase attention towards controlling the vectors responsible for their transmission in these townships.
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Affiliation(s)
- Fei Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China; Hongkou District Center for Disease Control and Prevention, Shanghai 200082, China
| | - Yiyi Zhu
- Department of Infectious Disease Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Hengduan Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Junhua Fan
- Department of Infectious Disease Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Peien Leng
- Department of Infectious Disease Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Ji Zhou
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, 200030, China
| | - Shenjun Yao
- Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China
| | - Dandan Yang
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, 200030, China
| | - Yao Liu
- Department of Infectious Disease Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Jingjing Wang
- Department of Infectious Disease Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Juanyi Yao
- Department of Infectious Disease Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Yibin Zhou
- Minhang District Center for Disease Control and Prevention, Shanghai 201011, China.
| | - Tongyan Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
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11
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Xu J, Wahaab A, Khan S, Nawaz M, Anwar MN, Liu K, Wei J, Hameed M, Ma Z. Recent Population Dynamics of Japanese Encephalitis Virus. Viruses 2023; 15:1312. [PMID: 37376612 DOI: 10.3390/v15061312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 05/31/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
Japanese encephalitis virus (JEV) causes acute viral encephalitis in humans and reproductive disorders in pigs. JEV emerged during the 1870s in Japan, and since that time, JEV has been transmitted exclusively throughout Asia, according to known reporting and sequencing records. A recent JEV outbreak occurred in Australia, affecting commercial piggeries across different temperate southern Australian states, and causing confirmed infections in humans. A total of 47 human cases and 7 deaths were reported. The recent evolving situation of JEV needs to be reported due to its continuous circulation in endemic regions and spread to non-endemics areas. Here, we reconstructed the phylogeny and population dynamics of JEV using recent JEV isolates for the future perception of disease spread. Phylogenetic analysis shows the most recent common ancestor occurred about 2993 years ago (YA) (95% Highest posterior density (HPD), 2433 to 3569). Our results of the Bayesian skyline plot (BSP) demonstrates that JEV demography lacks fluctuations for the last two decades, but it shows that JEV genetic diversity has increased during the last ten years. This indicates the potential JEV replication in the reservoir host, which is helping it to maintain its genetic diversity and to continue its dispersal into non-endemic areas. The continuous spread in Asia and recent detection from Australia further support these findings. Therefore, an enhanced surveillance system is needed along with precautionary measures such as regular vaccination and mosquito control to avoid future JEV outbreaks.
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Affiliation(s)
- Jinpeng Xu
- School of Life Sciences and Food Engineering, Hebei University of Engineering, Handan 056038, China
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
| | - Abdul Wahaab
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
| | - Sawar Khan
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore 54000, Pakistan
| | - Mohsin Nawaz
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
- Faculty of Veterinary and Animal sciences, University of Poonch, Rawalakot 12350, Pakistan
| | | | - Ke Liu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
| | - Jianchao Wei
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
| | - Muddassar Hameed
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
- Center for Zoonotic and Arthropod-borne Pathogens, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA
| | - Zhiyong Ma
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai 200241, China
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12
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Canelas T, Thomsen E, Kamgang B, Kelly‐Hope LA. Demographic and environmental factors associated with the distribution of Aedes albopictus in Cameroon. MEDICAL AND VETERINARY ENTOMOLOGY 2023; 37:143-151. [PMID: 36264191 PMCID: PMC10092813 DOI: 10.1111/mve.12619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
Aedes-transmitted arboviruses have spread globally due to the spread of Aedes aegypti and Aedes albopictus. Its distribution is associated with human and physical geography. However, these factors have not been quantified in Cameroon. Therefore, the aim was to develop an Ae. albopictus geo-referenced database to examine the risk factors associated with the vector distribution in Cameroon. Data on the Ae. albopictus presence and absence were collated and mapped from studies in published scientific literature between 2000 and 2020. Publicly available earth observation data were used to assess human geography, land use and climate risk factors related to the vector distribution. A logistic binomial regression was conducted to identify the significant risk factors associated with Ae. albopictus distribution. In total, 111 data points were collated (presence = 87; absence = 24). Different data collection methods and sites hindered the spatiotemporal analysis. An increase of one wet month in a year increased the odds of Ae. albopictus presence by 5.6 times. One unit of peri-urban area increased the odds by 1.3 times. Using publicly available demographic and environmental data to better understand the key determinants of mosquito distributions may facilitate appropriately targeted public health messages and vector control strategies.
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Affiliation(s)
- Tiago Canelas
- Department of Vector BiologyLiverpool School of Tropical MedicineLiverpoolUK
- Medical Research Council Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - Edward Thomsen
- Department of Vector BiologyLiverpool School of Tropical MedicineLiverpoolUK
| | - Basile Kamgang
- Department of Medical EntomologyCentre for Research in Infectious DiseasesYaoundéCameroon
| | - Louise A. Kelly‐Hope
- Department of Livestock and One HealthInstitute of Infection, Veterinary and Ecological Sciences, University of LiverpoolLiverpoolUK
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13
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Rawson T, Doohan P, Hauck K, Murray KA, Ferguson N. Climate change and communicable diseases in the Gulf Cooperation Council (GCC) countries. Epidemics 2023; 42:100667. [PMID: 36652872 DOI: 10.1016/j.epidem.2023.100667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 12/05/2022] [Accepted: 01/06/2023] [Indexed: 01/15/2023] Open
Abstract
A review of the extant literature reveals the extent to which the spread of communicable diseases will be significantly impacted by climate change. Specific research into how this will likely be observed in the countries of the Gulf Cooperation Council (GCC) is, however, greatly lacking. This report summarises the unique public health challenges faced by the GCC countries in the coming century, and outlines the need for greater investment in public health research and disease surveillance to better forecast the imminent epidemiological landscape. Significant data gaps currently exist regarding vector occurrence, spatial climate measures, and communicable disease case counts in the GCC - presenting an immediate research priority for the region. We outline policy work necessary to strengthen public health interventions, and to facilitate evidence-driven mitigation strategies. Such research will require a transdisciplinary approach, utilising existing cross-border public health initiatives, to ensure that such investigations are well-targeted and effectively communicated.
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Affiliation(s)
- Thomas Rawson
- MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.
| | - Patrick Doohan
- MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK
| | - Katharina Hauck
- MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK
| | - Kris A Murray
- Centre on Climate Change and Planetary Health, MRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Atlantic Boulevard, Fajara, The Gambia
| | - Neil Ferguson
- MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK
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14
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Nik Abdull Halim NMH, Che Dom N, Dapari R, Salim H, Precha N. A systematic review and meta-analysis of the effects of temperature on the development and survival of the Aedes mosquito. Front Public Health 2022; 10:1074028. [PMID: 36600940 PMCID: PMC9806355 DOI: 10.3389/fpubh.2022.1074028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
Introduction The Aedes mosquito species, which are the vectors for the transmission of the dengue virus (DENV) to humans, are becoming increasingly susceptible to the formidable effects of influential factors, especially temperature. However, there are still very few studies that have systematically reviewed the existing literature. Hence, in the present study, a systematic literature review and meta-analysis was conducted into the effects of temperature on dengue vectors. Method Several research methodologies were incorporated into the current study, and a review was carried out using PRISMA as a guide. The publications for this study were chosen from two prominent databases, Scopus and Web of Science. All of the studies were assessed, reviewed, and evaluated independently by two reviewers. The meta-analysis tool, Review Manager (RevMan Copenhagen Version 5.4.1), was used to record the extracted data for the meta-analysis. Moran's I 2 and a funnel plot were utilized to measure heterogeneity, and publication bias was investigated. A 95% confidence interval (CI) and overall risk difference (RD) were estimated using a random-effects model. Result and discussion As a consequence of the search efforts, a total of 46 articles were selected for inclusion in the systematic review and meta-analysis. This review was divided into five major themes, based on a thematic analysis: (i) hatching rate, (ii) development time, (iii) longevity, (iv) survival rate, and (v) wing morphology. In addition, the development time, survival rate, and wing morphology revealed significantly higher risk differences between the maximum and minimum temperatures (RD: 0.26, 95% CI: 0.16, 0.36; p = < 0.00001; RD: 0.10, 95% CI: 0.05, 0.14; p < 0.0001; and RD: 0.07, 95% CI: 0.02, 0.12; p = 0.006, respectively). This study makes several substantial contributions to the body of knowledge and to practical applications. Finally, a number of recommendations are made at the conclusion of this research for the future reference of researchers.
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Affiliation(s)
- Nik Muhammad Hanif Nik Abdull Halim
- Centre of Environmental Health & Safety, Faculty of Health Sciences, Universiti Teknologi MARA (UiTM), UITM Cawangan Selangor, Puncak Alam, Malaysia,Setiu District Health Office, Setiu, Malaysia
| | - Nazri Che Dom
- Centre of Environmental Health & Safety, Faculty of Health Sciences, Universiti Teknologi MARA (UiTM), UITM Cawangan Selangor, Puncak Alam, Malaysia,Integrated Mosquito Research Group (I-MeRGe), Universiti Teknologi MARA (UiTM), UITM Cawangan Selangor, Puncak Alam, Malaysia,Institute for Biodiversity and Sustainable Development (IBSD), Universiti Teknologi MARA, Shah Alam, Malaysia,*Correspondence: Nazri Che Dom
| | - Rahmat Dapari
- Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Hasber Salim
- School of Biological Sciences, Universiti Sains Malaysia, Penang, Malaysia
| | - Nopadol Precha
- Department of Environmental Health and Technology, School of Public Health, Walailak University, Nakhon Si Thammarat, Thailand
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15
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Da Re D, Van Bortel W, Reuss F, Müller R, Boyer S, Montarsi F, Ciocchetta S, Arnoldi D, Marini G, Rizzoli A, L'Ambert G, Lacour G, Koenraadt CJM, Vanwambeke SO, Marcantonio M. dynamAedes: a unified modelling framework for invasive Aedes mosquitoes. Parasit Vectors 2022; 15:414. [PMID: 36348368 PMCID: PMC9641901 DOI: 10.1186/s13071-022-05414-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 07/27/2022] [Indexed: 11/11/2022] Open
Abstract
Mosquito species belonging to the genus Aedes have attracted the interest of scientists and public health officers because of their capacity to transmit viruses that affect humans. Some of these species were brought outside their native range by means of trade and tourism and then colonised new regions thanks to a unique combination of eco-physiological traits. Considering mosquito physiological and behavioural traits to understand and predict their population dynamics is thus a crucial step in developing strategies to mitigate the local densities of invasive Aedes populations. Here, we synthesised the life cycle of four invasive Aedes species (Ae. aegypti, Ae. albopictus, Ae. japonicus and Ae. koreicus) in a single multi-scale stochastic modelling framework which we coded in the R package dynamAedes. We designed a stage-based and time-discrete stochastic model driven by temperature, photo-period and inter-specific larval competition that can be applied to three different spatial scales: punctual, local and regional. These spatial scales consider different degrees of spatial complexity and data availability by accounting for both active and passive dispersal of mosquito species as well as for the heterogeneity of the input temperature data. Our overarching aim was to provide a flexible, open-source and user-friendly tool rooted in the most updated knowledge on the species' biology which could be applied to the management of invasive Aedes populations as well as to more theoretical ecological inquiries.
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Affiliation(s)
- Daniele Da Re
- Georges Lemaître Center for Earth and Climate Research, Earth and Life Institute, UCLouvain, Louvain-la-Neuve, Belgium.
| | - Wim Van Bortel
- Unit Entomology and the Outbreak Research Team, Tropical Medicine Institute, Antwerp, Belgium
| | - Friederike Reuss
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany
- Institute of Occupational, Social and Environmental Medicine, Goethe University, Frankfurt am Main, Germany
| | - Ruth Müller
- Unit Entomology and the Outbreak Research Team, Tropical Medicine Institute, Antwerp, Belgium
| | - Sebastien Boyer
- Medical and Veterinary Entomology Unit, Institute Pasteur du Cambodge, Phnom Penh, Cambodia
| | - Fabrizio Montarsi
- Laboratory of Parasitology, National reference centre/OIE collaborating centre for diseases at the animal-human interface, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy
| | - Silvia Ciocchetta
- The University of Queensland, School of Veterinary Science, Gatton, Australia
| | - Daniele Arnoldi
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Giovanni Marini
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Annapaola Rizzoli
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | | | | | - Constantianus J M Koenraadt
- Wageningen University & Research, Department of Plant Sciences, Laboratory of Entomology, Wageningen, The Netherlands
| | - Sophie O Vanwambeke
- Georges Lemaître Center for Earth and Climate Research, Earth and Life Institute, UCLouvain, Louvain-la-Neuve, Belgium
| | - Matteo Marcantonio
- Evolutionary Ecology and Genetics Group, Earth and Life Institute, UC Louvain, Louvain-la-Neuve, Belgium.
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16
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Díaz S, Camargo C, Avila FW. Characterization of the reproductive tract bacterial microbiota of virgin, mated, and blood-fed Aedes aegypti and Aedes albopictus females. Parasit Vectors 2021; 14:592. [PMID: 34852835 PMCID: PMC8638121 DOI: 10.1186/s13071-021-05093-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 11/09/2021] [Indexed: 12/13/2022] Open
Abstract
Background Aedes aegypti and Ae. albopictus are vectors of numerous arboviruses that adversely affect human health. In mosquito vectors of disease, the bacterial microbiota influence several physiological processes, including fertility and vector competence, making manipulation of the bacterial community a promising method to control mosquito vectors. In this study, we describe the reproductive tract tissue microbiota of lab-reared virgin Ae. aegypti and Ae. albopictus males, and virgin, mated, and mated + blood-fed females of each species, comparing the bacterial composition found there to the well-described gut microbiota. Methods We performed metabarcoding of the 16S rRNA isolated from the gut, upper reproductive tract (URT; testes or ovaries), and lower reproductive tract (LRT; males: seminal vesicles and accessory glands; females: oviduct, spermathecae, and bursa) for each species, and evaluated the influence of host species, tissue, nutritional status, and reproductive status on microbiota composition. Finally, based on the identified taxonomic profiles of the tissues assessed, bacterial metabolic pathway abundance was predicted. Results The community structure of the reproductive tract is unique compared to the gut. Asaia is the most prevalent OTU in the LRTs of both Ae. aegypti and Ae. albopictus. In the URT, we observed differences between species, with Wolbachia OTUs being dominant in the Ae. albopictus URT, while Enterobacter and Serratia were dominant in Ae. aegypti URT. Host species and tissue were the best predictors of the community composition compared to reproductive status (i.e., virgin or mated) and nutritional status (i.e., sugar or blood-fed). The predicted functional profile shows changes in the abundance of specific microbial pathways that are associated with mating and blood-feeding, like energy production in mated tissues and siderophore synthesis in blood-fed female tissues. Conclusions Aedes aegypti and Ae. albopictus have distinct differences in the composition of microbiota found in the reproductive tract. The distribution of the bacterial taxonomic groups indicates that some bacteria have tissue-specific tropism for reproductive tract tissue, such as Asaia and Wolbachia. No significant differences in the taxonomic composition were observed in the reproductive tract between virgin, mated, and mated + blood-fed females, but changes in the abundance of specific metabolic pathways were found in the predicted microbial functional profiles in mated and blood-fed females. Graphical Abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s13071-021-05093-7.
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Affiliation(s)
- Sebastián Díaz
- Max Planck Tandem Group in Mosquito Reproductive Biology, Universidad de Antioquia, Medellín, 050010, Antioquia, Colombia
| | - Carolina Camargo
- Max Planck Tandem Group in Mosquito Reproductive Biology, Universidad de Antioquia, Medellín, 050010, Antioquia, Colombia
| | - Frank W Avila
- Max Planck Tandem Group in Mosquito Reproductive Biology, Universidad de Antioquia, Medellín, 050010, Antioquia, Colombia.
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Camargo C, Alfonso-Parra C, Díaz S, Rincon DF, Ramírez-Sánchez LF, Agudelo J, Barrientos LM, Villa-Arias S, Avila FW. Spatial and temporal population dynamics of male and female Aedes albopictus at a local scale in Medellín, Colombia. Parasit Vectors 2021; 14:312. [PMID: 34103091 PMCID: PMC8188797 DOI: 10.1186/s13071-021-04806-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 05/25/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Diseases transmitted by invasive Aedes aegypti and Aedes albopictus mosquitoes are public health issues in the tropics and subtropics. Understanding the ecology of mosquito vectors is essential for the development of effective disease mitigation programs and will allow for accurate predictions of vector occurrence and abundance. Studies that examine mosquito population dynamics are typically focused on female presence or total adult captures without discriminating the temporal and spatial distribution of both sexes. METHODS We collected immature and adult mosquitoes bimonthly for 2 years (2018-2019) in the Medellín Botanical Garden. Collection sites differed in proximity to buildings and nearby vegetation, and were classified by their overhead vegetation cover. We used linear mixed models (LMMs) and Spatial Analysis by Distance Indices (SADIE) to assess the spatial distribution of Ae. aegypti and Ae. albopictus. Using our Ae. albopictus captures exclusively, we assessed (1) the spatial and temporal distribution of males and females using SADIE and a generalized linear mixed model (GLMM), (2) the relationship between climatic variables/vegetation coverage and adult captures using GLMMs and LMMs, and (3) the correlation of male and female size in relation to climatic variables and vegetation coverage using LMMs. RESULTS Spatial analysis showed that Ae. aegypti and Ae. albopictus were distributed at different locations within the surveilled area. However, Ae. albopictus was the predominant species in the park during the study period. Adult Ae. albopictus captures were positively correlated with precipitation and relative humidity, and inversely correlated with temperature and wind speed. Moreover, we observed a spatial misalignment of Ae. albopictus males and females-the majority of males were located in the high vegetation coverage sites, while females were more evenly distributed. We observed significant associations of the size of our adult Ae. albopictus captures with precipitation, temperature, and wind speed for both sexes and found that overhead vegetation cover influenced male size, but observed no effect on female size. CONCLUSIONS Our work elucidates the differential dynamics of Ae. albopictus males and females, which is pivotal to develop accurate surveillance and the successful establishment of vector control programs based on the disruption of insect reproduction.
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Affiliation(s)
- Carolina Camargo
- Max Planck Tandem Group in Mosquito Reproductive Biology, Universidad de Antioquia, Complejo RutaN, Calle 67 #52-20, Laboratory 4-166, 050010, Medellín, Antioquia, Colombia
| | - Catalina Alfonso-Parra
- Max Planck Tandem Group in Mosquito Reproductive Biology, Universidad de Antioquia, Complejo RutaN, Calle 67 #52-20, Laboratory 4-166, 050010, Medellín, Antioquia, Colombia
- Instituto Colombiano de Medicina Tropical, Universidad CES, 055450, Sabaneta, Antioquia, Colombia
| | - Sebastián Díaz
- Max Planck Tandem Group in Mosquito Reproductive Biology, Universidad de Antioquia, Complejo RutaN, Calle 67 #52-20, Laboratory 4-166, 050010, Medellín, Antioquia, Colombia
| | - Diego F Rincon
- Centro de Investigación Tibaitatá, Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA), 250047, Mosquera, Cundinamarca, Colombia
| | - Luis Felipe Ramírez-Sánchez
- Max Planck Tandem Group in Mosquito Reproductive Biology, Universidad de Antioquia, Complejo RutaN, Calle 67 #52-20, Laboratory 4-166, 050010, Medellín, Antioquia, Colombia
| | - Juliana Agudelo
- Max Planck Tandem Group in Mosquito Reproductive Biology, Universidad de Antioquia, Complejo RutaN, Calle 67 #52-20, Laboratory 4-166, 050010, Medellín, Antioquia, Colombia
| | - Luisa M Barrientos
- Max Planck Tandem Group in Mosquito Reproductive Biology, Universidad de Antioquia, Complejo RutaN, Calle 67 #52-20, Laboratory 4-166, 050010, Medellín, Antioquia, Colombia
| | - Sara Villa-Arias
- Max Planck Tandem Group in Mosquito Reproductive Biology, Universidad de Antioquia, Complejo RutaN, Calle 67 #52-20, Laboratory 4-166, 050010, Medellín, Antioquia, Colombia
| | - Frank W Avila
- Max Planck Tandem Group in Mosquito Reproductive Biology, Universidad de Antioquia, Complejo RutaN, Calle 67 #52-20, Laboratory 4-166, 050010, Medellín, Antioquia, Colombia.
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Tu T, Xu K, Xu L, Gao Y, Zhou Y, He Y, Liu Y, Liu Q, Ji H, Tang W. Association between meteorological factors and the prevalence dynamics of Japanese encephalitis. PLoS One 2021; 16:e0247980. [PMID: 33657174 PMCID: PMC7928514 DOI: 10.1371/journal.pone.0247980] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 02/17/2021] [Indexed: 12/29/2022] Open
Abstract
Japanese encephalitis (JE) is an acute infectious disease caused by the Japanese encephalitis virus (JEV) and is transmitted by mosquitoes. Meteorological conditions are known to play a pivotal role in the spread of JEV. In this study, a zero-inflated generalised additive model and a long short-term memory model were used to assess the relationship between the meteorological factors and population density of Culex tritaeniorhynchus as well as the incidence of JE and to predict the prevalence dynamics of JE, respectively. The incidence of JE in the previous month, the mean air temperature and the average of relative humidity had positive effects on the outbreak risk and intensity. Meanwhile, the density of all mosquito species in livestock sheds (DMSL) only affected the outbreak risk. Moreover, the region-specific prediction model of JE was developed in Chongqing by used the Long Short-Term Memory Neural Network. Our study contributes to a better understanding of the JE dynamics and helps the local government establish precise prevention and control measures.
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Affiliation(s)
- Taotian Tu
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Keqiang Xu
- College of Computer and Information Engineering, Henan Normal University, Xinxiang, Henan Province, China
| | - Lei Xu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, Beijing, China
| | - Yuan Gao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ying Zhou
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Yaming He
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Yang Liu
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hengqing Ji
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- * E-mail: (WT); (HJ)
| | - Wenge Tang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- * E-mail: (WT); (HJ)
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