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Cruz GLT, Winck GR, D'Andrea PS, Krempser E, Vidal MM, Andreazzi CS. Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset. Sci Data 2023; 10:757. [PMID: 37919263 PMCID: PMC10622529 DOI: 10.1038/s41597-023-02636-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 10/11/2023] [Indexed: 11/04/2023] Open
Abstract
Incomplete information on parasites, their associated hosts, and their precise geographical location hampers the ability to predict disease emergence in Brazil, a continental-sized country characterised by significant regional disparities. Here, we demonstrate how the NCBI Nucleotide and GBIF databases can be used as complementary databases to study spatially georeferenced parasite-host associations. We also provide a comprehensive dataset of parasites associated with mammal species that occur in Brazil, the Brazilian Mammal Parasite Occurrence Data (BMPO). This dataset integrates wild mammal species' morphological and life-history traits, zoonotic parasite status, and zoonotic microparasite transmission modes. Through meta-networks, comprising interconnected host species linked by shared zoonotic microparasites, we elucidate patterns of zoonotic microparasite dissemination. This approach contributes to wild animal and zoonoses surveillance, identifying and targeting host species accountable for disproportionate levels of parasite sharing within distinct biomes. Moreover, our novel dataset contributes to the refinement of models concerning disease emergence and parasite distribution among host species.
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Affiliation(s)
- Gabriella L T Cruz
- Laboratório de Biologia e Parasitologia de Mamíferos Silvestres Reservatórios (LABPMR), Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
- Programa de Pós-graduação em Biodiversidade e Saúde, Instituto Oswaldo Cruz (IOC), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
- Pró-Reitoria de Pós-Graduação, Pesquisa e Inovação (PROPGPI), Universidade Federal do Estado do Rio de Janeiro (Unirio), Rio de Janeiro, RJ, Brazil
| | - Gisele R Winck
- Laboratório de Biologia e Parasitologia de Mamíferos Silvestres Reservatórios (LABPMR), Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - Paulo S D'Andrea
- Laboratório de Biologia e Parasitologia de Mamíferos Silvestres Reservatórios (LABPMR), Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - Eduardo Krempser
- Plataforma Institucional Biodiversidade e Saúde Silvestre (PIBSS), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - Mariana M Vidal
- Laboratório de Biologia e Parasitologia de Mamíferos Silvestres Reservatórios (LABPMR), Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - Cecilia S Andreazzi
- Laboratório de Biologia e Parasitologia de Mamíferos Silvestres Reservatórios (LABPMR), Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil.
- International Platform for Science, Technology and Innovation in Health (PICTIS), Ílhavo, Portugal.
- Departamento de Biodiversidad, Ecología y Evolución, Universidad Complutense de Madrid, Madrid, Spain.
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2
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Rorato AC, Dal'Asta AP, Lana RM, Dos Santos RBN, Escada MIS, Vogt CM, Neves TC, Barbosa M, Andreazzi CS, Dos Reis IC, Fernandes DA, da Silva-Nunes M, de Souza AR, Monteiro AMV, Codeço CT. Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon. Sci Data 2023; 10:65. [PMID: 36732347 PMCID: PMC9895449 DOI: 10.1038/s41597-023-01962-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 01/11/2023] [Indexed: 02/04/2023] Open
Abstract
The Trajetorias dataset is a harmonized set of environmental, epidemiological, and poverty indicators for all municipalities of the Brazilian Legal Amazon (BLA). This dataset is the result of a scientific synthesis research initiative conducted by scientists from several natural and social sciences fields, consolidating multidisciplinary indicators into a coherent dataset for integrated and interdisciplinary studies of the Brazilian Amazon. The dataset allows the investigation of the association between the Amazonian agrarian systems and their impacts on environmental and epidemiological changes, furthermore enhancing the possibilities for understanding, in a more integrated and consistent way, the scenarios that affect the Amazonian biome and its inhabitants.
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Affiliation(s)
- Ana C Rorato
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, 12227-900, Brazil.
| | - Ana Paula Dal'Asta
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, 12227-900, Brazil
| | | | | | - Maria Isabel S Escada
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, 12227-900, Brazil
| | - Camila M Vogt
- Departamento de Ciências Administrativas, Universidade Federal de Santa Maria, Santa Maria, Brazil
| | - Tatiana Campos Neves
- Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, 21040-900, Brazil
| | - Milton Barbosa
- Laboratório de Ecologia Evolutiva e Biodiversidade, Universidade Federal de Minas Gerais, Belo Horizonte, 31270-901, Brazil
| | - Cecilia S Andreazzi
- Laboratório de Biologia e Parasitologia de Mamíferos Silvestres Reservatórios, Fundação Oswaldo Cruz, Rio de Janeiro, 21040-900, Brazil.,Departamento de Biodiversidad, Ecología y Evolución, Universidad Complutense de Madrid, Madrid, Spain
| | - Izabel C Dos Reis
- Laboratório de Imunologia Viral, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, 21040-900, Brazil
| | | | - Mônica da Silva-Nunes
- Departamento de Medicina, Centro de Ciências Biológicas e da Saúde, Universidade Federal de São Carlos, São Carlos, 13565-905, Brazil
| | - Anielli R de Souza
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, 12227-900, Brazil
| | - Antonio M V Monteiro
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, 12227-900, Brazil
| | - Claudia T Codeço
- Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, 21040-900, Brazil
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3
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Winck GR, Raimundo RLG, Fernandes-Ferreira H, Bueno MG, D’Andrea PS, Rocha FL, Cruz GLT, Vilar EM, Brandão M, Cordeiro JLP, Andreazzi CS. Socioecological vulnerability and the risk of zoonotic disease emergence in Brazil. Sci Adv 2022; 8:eabo5774. [PMID: 35767624 PMCID: PMC9242594 DOI: 10.1126/sciadv.abo5774] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 05/13/2022] [Indexed: 05/25/2023]
Abstract
In developing countries, outbreaks of zoonotic diseases (ZDs) result from intertwined ecological, socioeconomic, and demographic processes that shape conditions for (i) increased contact between vulnerable human population and wildlife in areas undergoing environmental degradation and (ii) the rapid geographic spread of infections across socially vulnerable regions. In Brazil, recent increases in environmental and social vulnerabilities, amplified by economic and political crises, are potential triggers for outbreaks. We discuss Brazilian features that favor outbreaks and show a novel quantitative method for zoonotic risk assessment. Using data on nine ZDs from 2001 to 2019, we found that the most significant causal variables were vegetation cover and city remoteness. Furthermore, 8 of 27 states presented low-level risk of ZD outbreaks. Given the ZD-bushmeat connection, we identified central hunted mammals that should be surveilled to prevent spillover events. The current challenge is to coordinate intersectoral collaboration for effective One Health management in megadiverse countries with high social vulnerability and growing environmental degradation like Brazil.
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Affiliation(s)
- Gisele R. Winck
- Laboratory of Biology and Parasitology of Wild Reservoir Mammals (LABPMR), Oswaldo Cruz Institute, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - Rafael L. G. Raimundo
- Graduate Program in Biological Sciences, Federal University of Paraíba (UFPB), João Pessoa, PB, Brazil
- Graduate Program in Ecology and Environmental Monitoring, Federal University of Paraíba (UFPB), Rio Tinto, PB, Brazil
| | - Hugo Fernandes-Ferreira
- Terrestrial Vertebrate Conservation Lab (Converte), State University of Ceará (UECE), Quixadá, CE, Brazil
| | - Marina G. Bueno
- Laboratory of Comparative and Environmental Virology (LVCA), Oswaldo Cruz Institute, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - Paulo S. D’Andrea
- Laboratory of Biology and Parasitology of Wild Reservoir Mammals (LABPMR), Oswaldo Cruz Institute, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - Fabiana L. Rocha
- Graduate Program in Biological Sciences, Federal University of Paraíba (UFPB), João Pessoa, PB, Brazil
- Center for Species Survival Brazil and Conservation Planning Specialist Group, Species Survival Commission (SSC), International Union for Conservation of Nature (IUCN), Foz do Iguaçu, PR, Brazil
| | - Gabriella L. T. Cruz
- Laboratory of Biology and Parasitology of Wild Reservoir Mammals (LABPMR), Oswaldo Cruz Institute, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, RJ, Brazil
| | | | - Martha Brandão
- Vice Presidency of Production and Innovation in Health, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - José Luís P. Cordeiro
- Oswaldo Cruz Foundation (Fiocruz), Eusébio, CE, Brazil
- Department of Biology and Centre for Environmental and Marine Studies (CESAM), Aveiro University, Aveiro, Portugal
- International Platform for Science, Technology, and Innovation in Health (PICTIS), Fiocruz and Aveiro, Portugal
| | - Cecilia S. Andreazzi
- Laboratory of Biology and Parasitology of Wild Reservoir Mammals (LABPMR), Oswaldo Cruz Institute, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, RJ, Brazil
- International Platform for Science, Technology, and Innovation in Health (PICTIS), Fiocruz and Aveiro, Portugal
- Centre for Functional Ecology (CFE), University of Coimbra, Coimbra, Portugal
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Codeço CT, Dal'Asta AP, Rorato AC, Lana RM, Neves TC, Andreazzi CS, Barbosa M, Escada MIS, Fernandes DA, Rodrigues DL, Reis IC, Silva-Nunes M, Gontijo AB, Coelho FC, Monteiro AMV. Epidemiology, Biodiversity, and Technological Trajectories in the Brazilian Amazon: From Malaria to COVID-19. Front Public Health 2021; 9:647754. [PMID: 34327184 PMCID: PMC8314010 DOI: 10.3389/fpubh.2021.647754] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 06/14/2021] [Indexed: 11/13/2022] Open
Abstract
The Amazon biome is under severe threat due to increasing deforestation rates and loss of biodiversity and ecosystem services while sustaining a high burden of neglected tropical diseases. Approximately two thirds of this biome are located within Brazilian territory. There, socio-economic and environmental landscape transformations are linked to the regional agrarian economy dynamics, which has developed into six techno-productive trajectories (TTs). These TTs are the product of the historical interaction between Peasant and Farmer and Rancher practices, technologies and rationalities. This article investigates the distribution of the dominant Brazilian Amazon TTs and their association with environmental degradation and vulnerability to neglected tropical diseases. The goal is to provide a framework for the joint debate of the local economic, environmental and health dimensions. We calculated the dominant TT for each municipality in 2017. Peasant trajectories (TT1, TT2, and TT3) are dominant in ca. fifty percent of the Amazon territory, mostly concentrated in areas covered by continuous forest where malaria is an important morbidity and mortality cause. Cattle raising trajectories are associated with higher deforestation rates. Meanwhile, Farmer and Rancher economies are becoming dominant trajectories, comprising large scale cattle and grain production. These trajectories are associated with rapid biodiversity loss and a high prevalence of neglected tropical diseases, such as leishmaniasis, Aedes-borne diseases and Chagas disease. Overall, these results defy simplistic views that the dominant development trajectory for the Amazon will optimize economic, health and environmental indicators. This approach lays the groundwork for a more integrated narrative consistent with the economic history of the Brazilian Amazon.
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Affiliation(s)
- Claudia T. Codeço
- Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Ana P. Dal'Asta
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
| | - Ana C. Rorato
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
- Centro de Ciência do Sistema Terrestre, Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
| | - Raquel M. Lana
- Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Tatiana C. Neves
- Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Cecilia S. Andreazzi
- Laboratório de Biologia e Parasitologia de Mamíferos Silvestres Reservatórios, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Milton Barbosa
- Ecologia Evolutiva e Biodiversidade, DGEE, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Maria I. S. Escada
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
| | - Danilo A. Fernandes
- Instituto de Ciências Sociais Aplicadas e Núcleo de Altos Estudos Amazônicos, Universidade Federal do Pará, Belem, Brazil
| | - Danuzia L. Rodrigues
- Instituto de Estudos em Desenvolvimento Agrário e Regional, Universidade Federal do Sul e Sudeste do Pará, Maraba, Brazil
| | - Izabel C. Reis
- Laboratório de Mosquitos Transmissores de Hematozoários, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | | | - Alexandre B. Gontijo
- Laboratório de Produtos Florestais, Serviço Florestal Brasileiro, Brasília, Brazil
| | - Flavio C. Coelho
- Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil
| | - Antonio M. V. Monteiro
- Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
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Nicolelis MAL, Raimundo RLG, Peixoto PS, Andreazzi CS. The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil. Sci Rep 2021; 11:13001. [PMID: 34155241 PMCID: PMC8217556 DOI: 10.1038/s41598-021-92263-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 05/26/2021] [Indexed: 02/07/2023] Open
Abstract
Although international airports served as main entry points for SARS-CoV-2, the factors driving the uneven geographic spread of COVID-19 cases and deaths in Brazil remain mostly unknown. Here we show that three major factors influenced the early macro-geographical dynamics of COVID-19 in Brazil. Mathematical modeling revealed that the "super-spreading city" of São Paulo initially accounted for more than 85% of the case spread in the entire country. By adding only 16 other spreading cities, we accounted for 98-99% of the cases reported during the first 3 months of the pandemic in Brazil. Moreover, 26 federal highways accounted for about 30% of SARS-CoV-2's case spread. As cases increased in the Brazilian interior, the distribution of COVID-19 deaths began to correlate with the allocation of the country's intensive care units (ICUs), which is heavily weighted towards state capitals. Thus, severely ill patients living in the countryside had to be transported to state capitals to access ICU beds, creating a "boomerang effect" that contributed to skew the distribution of COVID-19 deaths. Therefore, if (i) a lockdown had been imposed earlier on in spreader-capitals, (ii) mandatory road traffic restrictions had been enforced, and (iii) a more equitable geographic distribution of ICU beds existed, the impact of COVID-19 in Brazil would be significantly lower.
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Affiliation(s)
- Miguel A L Nicolelis
- Department of Neurobiology, Duke University Medical Center, Box 103905, Durham, NC, 27710, USA.
- Department of Biomedical Engineering, Duke University, Durham, NC, USA.
- Department of Neurology, Duke University, Durham, NC, USA.
- Department of Neurosurgery, Duke University, Durham, NC, USA.
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
- Edmond and Lily Safra International Institute of Neurosciences, Natal, Brazil.
| | - Rafael L G Raimundo
- Department of Engineering and Environment and Postgraduate Program in Ecology and Environmental Monitoring (PPGEMA), Center for Applied Sciences and Education, Federal University of Paraíba-Campus IV, Rio Tinto, Paraíba, Brazil
| | - Pedro S Peixoto
- Department of Applied Mathematics, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil
| | - Cecilia S Andreazzi
- Laboratory of Biology and Parasitology of Wild Reservoir Mammals, IOC, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
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Couto-Lima D, Andreazzi CS, Leite PJ, Bersot MIL, Alencar J, Lourenço-de-Oliveira R. Seasonal population dynamics of the primary yellow fever vector Haemagogus leucocelaenus (Dyar & Shannon) (Diptera: Culicidae) is mainly influenced by temperature in the Atlantic Forest, southeast Brazil. Mem Inst Oswaldo Cruz 2020; 115:e200218. [PMID: 32696917 PMCID: PMC7370926 DOI: 10.1590/0074-02760200218] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 06/30/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Southeast Brazil has recently experienced a Yellow Fever virus (YFV) outbreak where the mosquito Haemagogus leucocelaenus was a primary vector. Climatic factors influence the abundance of mosquito vectors and arbovirus transmission. OBJECTIVES We aimed at describing the population dynamics of Hg. leucocelaenus in a county touched by the recent YFV outbreak. METHODS Fortnightly egg collections with ovitraps were performed from November 2012 to February 2017 in a forest in Nova Iguaçu, Rio de Janeiro, Brazil. The effects of mean temperature and rainfall on the Hg. leucocelaenus population dynamics were explored. FINDINGS Hg. leucocelaenus eggs were continuously collected throughout the study, with a peak in the warmer months (December-March). The climatic variables had a time-lagged effect and four weeks before sampling was the best predictor for the positivity of ovitraps and total number of eggs collected. The probability of finding > 50% positive ovitraps increased when the mean temperature was above 24ºC. The number of Hg. leucocelaenus eggs expressively increase when the mean temperature and accumulated precipitation surpassed 27ºC and 100 mm, respectively, although the effect of rainfall was less pronounced. MAIN CONCLUSIONS Monitoring population dynamics of Hg. leucocelaenus and climatic factors in YFV risk areas, especially mean temperature, may assist in developing climate-based surveillance procedures to timely strengthening prophylaxis and control.
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Affiliation(s)
- Dinair Couto-Lima
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Mosquitos Transmissores de Hematozoários, Rio de Janeiro, RJ, Brasil
| | - Cecilia S Andreazzi
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Biologia e Parasitologia de Mamíferos Silvestres Reservatórios, Rio de Janeiro, RJ, Brasil
| | | | - Maria Ignez Lima Bersot
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Mosquitos Transmissores de Hematozoários, Rio de Janeiro, RJ, Brasil
| | - Jeronimo Alencar
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Diptera, Rio de Janeiro, RJ, Brasil
| | - Ricardo Lourenço-de-Oliveira
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Mosquitos Transmissores de Hematozoários, Rio de Janeiro, RJ, Brasil
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Harmon LJ, Andreazzi CS, Débarre F, Drury J, Goldberg EE, Martins AB, Melián CJ, Narwani A, Nuismer SL, Pennell MW, Rudman SM, Seehausen O, Silvestro D, Weber M, Matthews B. Detecting the macroevolutionary signal of species interactions. J Evol Biol 2019; 32:769-782. [DOI: 10.1111/jeb.13477] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 03/26/2019] [Accepted: 04/04/2019] [Indexed: 02/04/2023]
Affiliation(s)
- Luke J. Harmon
- Department of Fish Ecology and Evolution, Center for Ecology, Evolution and Biogeochemistry Eawag Kastanienbaum Switzerland
- Department of Biological Sciences University of Idaho Moscow Idaho
| | | | - Florence Débarre
- Sorbonne Université, UPMC Univ Paris 06, CNRS, IRD, INRA, Université Paris Diderot, Institute of Ecology and Environmental Sciences (UMR7618) Paris France
| | | | - Emma E. Goldberg
- Department of Ecology, Evolution and Behavior University of Minnesota Saint Paul Minnesota
| | - Ayana B. Martins
- Department of Fish Ecology and Evolution, Center for Ecology, Evolution and Biogeochemistry Eawag Kastanienbaum Switzerland
- Instituto de Física ‘Gleb Wataghin’ Universidade Estadual de Campinas Campinas Brazil
| | - Carlos J. Melián
- Department of Fish Ecology and Evolution, Center for Ecology, Evolution and Biogeochemistry Eawag Kastanienbaum Switzerland
| | - Anita Narwani
- Department of Aquatic Ecology Swiss Federal Institute of Aquatic Science and Technology Eawag Dübendorf Switzerland
| | - Scott L. Nuismer
- Department of Biological Sciences University of Idaho Moscow Idaho
| | - Matthew W. Pennell
- Department of Zoology and Biodiversity Research Centre University of British Columbia Vancouver British Columbia
| | - Seth M. Rudman
- Department of Biology University of Pennsylvania Philadelphia Pennsylvania
| | - Ole Seehausen
- Department of Fish Ecology and Evolution, Center for Ecology, Evolution and Biogeochemistry Eawag Kastanienbaum Switzerland
- Institute of Ecology and Evolution University of Bern Bern Switzerland
| | - Daniele Silvestro
- Department of Biological and Environmental Sciences Global Gothenburg Biodiversity Centre University of Gothenburg Gothenburg Sweden
| | - Marjorie Weber
- Department of Plant Biology & Program in Ecology, Evolution, and Behavior Michigan State University East Lansing Michigan
| | - Blake Matthews
- Department of Fish Ecology and Evolution, Center for Ecology, Evolution and Biogeochemistry Eawag Kastanienbaum Switzerland
- Aquatic Ecology and Evolution, Institute of Ecology and Evolution University of Bern Bern Switzerland
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Stella M, Selakovic S, Antonioni A, Andreazzi CS. Ecological multiplex interactions determine the role of species for parasite spread amplification. eLife 2018; 7:e32814. [PMID: 29683427 PMCID: PMC5962342 DOI: 10.7554/elife.32814] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Accepted: 04/20/2018] [Indexed: 01/24/2023] Open
Abstract
Despite their potential interplay, multiple routes of many disease transmissions are often investigated separately. As a unifying framework for understanding parasite spread through interdependent transmission paths, we present the 'ecomultiplex' model, where the multiple transmission paths among a diverse community of interacting hosts are represented as a spatially explicit multiplex network. We adopt this framework for designing and testing potential control strategies for Trypanosoma cruzi spread in two empirical host communities. We show that the ecomultiplex model is an efficient and low data-demanding method to identify which species enhances parasite spread and should thus be a target for control strategies. We also find that the interplay between predator-prey and host-parasite interactions leads to a phenomenon of parasite amplification, in which top predators facilitate T. cruzi spread, offering a mechanistic interpretation of previous empirical findings. Our approach can provide novel insights in understanding and controlling parasite spreading in real-world complex systems.
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Affiliation(s)
- Massimo Stella
- Institute for Complex Systems SimulationUniversity of SouthamptonSouthamptonUnited Kingdom
| | | | - Alberto Antonioni
- Department of EconomicsUniversity College LondonLondonUnited Kingdom
- Grupo Interdisciplinar de Sistemas Complejos, Departamento de MatemáticasUniversidad Carlos III de MadridMadridSpain
- Institute for Biocomputation and Physics of Complex SystemsUniversity of ZaragozaZaragozaSpain
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Andreazzi CS, Thompson JN, Guimarães PR. Network Structure and Selection Asymmetry Drive Coevolution in Species-Rich Antagonistic Interactions. Am Nat 2017; 190:99-115. [DOI: 10.1086/692110] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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10
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Andreazzi CS, Pimenta CS, Pires AS, Fernandez FAS, Oliveira-Santos LG, Menezes JFS. Increased Productivity and Reduced Seed Predation Favor a Large-seeded Palm in Small Atlantic Forest Fragments. Biotropica 2011. [DOI: 10.1111/j.1744-7429.2011.00782.x] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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