| Literature DB >> 31730640 |
Marcia C Castro1, Andres Baeza2, Cláudia Torres Codeço3, Zulma M Cucunubá4, Ana Paula Dal'Asta5, Giulio A De Leo6, Andrew P Dobson7, Gabriel Carrasco-Escobar8, Raquel Martins Lana3, Rachel Lowe9,10, Antonio Miguel Vieira Monteiro5, Mercedes Pascual11, Mauricio Santos-Vega12.
Abstract
The Amazon is Brazil's greatest natural resource and invaluable to the rest of the world as a buffer against climate change. The recent election of Brazil's president brought disputes over development plans for the region back into the spotlight. Historically, the development model for the Amazon has focused on exploitation of natural resources, resulting in environmental degradation, particularly deforestation. Although considerable attention has focused on the long-term global cost of "losing the Amazon," too little attention has focused on the emergence and reemergence of vector-borne diseases that directly impact the local population, with spillover effects to other neighboring areas. We discuss the impact of Amazon development models on human health, with a focus on vector-borne disease risk. We outline policy actions that could mitigate these negative impacts while creating opportunities for environmentally sensitive economic activities.Entities:
Mesh:
Year: 2019 PMID: 31730640 PMCID: PMC6881077 DOI: 10.1371/journal.pbio.3000526
Source DB: PubMed Journal: PLoS Biol ISSN: 1544-9173 Impact factor: 8.029
Fig 1Changes in infectious disease transmission intensity and deforestation in the Brazilian Amazon.
Hotspots of malaria transmission for (A) Plasmodium vivax and (B) P. falciparum in the Brazilian Amazon. The color intervals correspond to the spatial mean (ordinary kriging) of the last time period with API greater than 50 between 2004 and 2017. Monthly malaria notification data at the municipality level were obtained from SIVEP/Malaria. (C) Expansion of dengue transmission across the Brazilian Amazon. The color intervals correspond to the spatial mean (ordinary kriging) of the first time period with a high incidence rate (more than 300 cases per 100,000 inhabitants) between 2001 and 2017 [6]. Monthly dengue notification data at the municipality level were obtained from SINAN. (D) Deforestation over three time periods between 2001 and 2016. The category “No forest” refers to areas that are part of the Amazon biome but are covered by distinct types of vegetation mainly savanna. Data are available at http://www.obt.inpe.br/prodes/. This figure was created in ArcGIS version (ESRI; Redlands, CA, USA). Base map: MODIS-derived product, MOD13A2 EVI (USGS/NASA); administrative boundaries available from the Brazilian Institute of Geography and Statistics (IBGE, 2010 – https://mapas.ibge.gov.br/bases-e-referenciais/bases-cartograficas/malhas-digitais). API, Annual Parasite Index; SINAN, Notifiable Diseases Information System; SIVEP/Malaria, Brazilian Epidemiological Surveillance Information System for Malaria.