Antivenom access impacts severity of Brazilian snakebite envenoming: a geographic information system analysis

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Campo DCValoridioma
dc.contributorCentro Bioindustrialpt_BR
dc.contributor.authorIsaacson, Julia Elizabethpt_BR
dc.contributor.authorYe, Jinny Jingpt_BR
dc.contributor.authorSilva, Lincoln Luíspt_BR
dc.contributor.authorFan, Hui Wenpt_BR
dc.date.accessioned2023-06-26T12:02:32Z-
dc.date.available2023-06-26T12:02:32Z-
dc.date.issued2023pt_BR
dc.identifier.citationFan HW. Antivenom access impacts severity of Brazilian snakebite envenoming: a geographic information system analysis. PLoS Negl Trop Dis. 2023 Jun; 17(6):e0011305. doi:10.1371/journal.pntd.0011305.pt_BR
dc.identifier.urihttps://repositorio.butantan.gov.br/handle/butantan/4950-
dc.description.abstractBackground Snakebite envenoming (SBE) is a neglected tropical disease capable of causing both significant disability and death. The burden of SBE is especially high in low- and middle-income countries. The aim of this study was to perform a geospatial analysis evaluating the association of sociodemographics and access to care indicators on moderate and severe cases of SBE in Brazil. Methods We conducted an ecological, cross-sectional study of SBE in Brazil from 2014 to 2019 using the open access National System Identification of Notifiable Diseases (SINAN) database. We then collected a set of indicators from the Brazil Census of 2010 and performed a Principal Component Analysis to create variables related to health, economics, occupation, education, infrastructure, and access to care. Next, a descriptive and exploratory spatial analysis was conducted to evaluate the geospatial association of moderate and severe events. These variables related to events were evaluated using Geographically Weighted Poisson Regression. T-values were plotted in choropleth maps and considered statistically significant when values were <-1.96 or >+1.96. Results We found that the North region had the highest number of SBE cases by population (47.83/100,000), death rates (0.18/100,000), moderate and severe rates (22.96/100,000), and proportion of cases that took more than three hours to reach healthcare assistance (44.11%). The Northeast and Midwest had the next poorest indicators. Life expectancy, young population structure, inequality, electricity, occupation, and more than three hours to reach healthcare were positively associated with greater cases of moderate and severe events, while income, illiteracy, sanitation, and access to care were negatively associated. The remaining indicators showed a positive association in some areas of the country and a negative association in other areas. Conclusion Regional disparities in SBE incidence and rates of poor outcomes exist in Brazil, with the North region disproportionately affected. Multiple indicators were associated with rates of moderate and severe events, such as sociodemographic and health care indicators. Any approach to improving snakebite care must work to ensure the timeliness of antivenom administration.pt_BR
dc.description.sponsorship(CNPq) Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorship(FAPEAM) Fundação de Amparo à Pesquisa do Estado do Amazonaspt_BR
dc.description.sponsorshipMinistério da Saúde do Brasilpt_BR
dc.description.sponsorship(NIH) Fogarty International Centerpt_BR
dc.description.sponsorship(CAPES) Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.format.extente0011305pt_BR
dc.language.isoEnglishpt_BR
dc.relation.ispartofPlos Neglected Tropical Diseasespt_BR
dc.rightsOpen accesspt_BR
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_BR
dc.titleAntivenom access impacts severity of Brazilian snakebite envenoming: a geographic information system analysispt_BR
dc.typeArticlept_BR
dc.rights.licenseCC BYpt_BR
dc.identifier.doi10.1371/journal.pntd.0011305pt_BR
dc.contributor.externalDuke University School of Medicinept_BR
dc.contributor.external(UEM) Universidade Estadual de Maringápt_BR
dc.contributor.externalDuke Global Health Institutept_BR
dc.contributor.external(UEA) Universidade do Estado do Amazonaspt_BR
dc.contributor.external(FMT-HVD) Fundação de Medicina Tropical Doutor Heitor Vieira Douradopt_BR
dc.identifier.citationvolume17pt_BR
dc.identifier.citationissue6pt_BR
dc.relation.ispartofabbreviatedPLoS Negl Trop Dispt_BR
dc.identifier.citationabntv. 17, n. 6, e0011305, jun. 2023pt_BR
dc.identifier.citationvancouver2023 Jun; 17(6):e0011305pt_BR
dc.contributor.butantanFan, Hui Wen|:Outros|:Centro Bioindustrial|:pt_BR
dc.sponsorship.butantan(CNPq) Conselho Nacional de Desenvolvimento Científico e Tecnológico¦¦pt_BR
dc.sponsorship.butantan(FAPEAM) Fundação de Amparo à Pesquisa do Estado do Amazonas¦¦011/2021pt_BR
dc.sponsorship.butantan(FAPEAM) Fundação de Amparo à Pesquisa do Estado do Amazonas¦¦010/2021pt_BR
dc.sponsorship.butantan(FAPEAM) Fundação de Amparo à Pesquisa do Estado do Amazonas¦¦003/2022pt_BR
dc.sponsorship.butantanMinistério da Saúde do Brasil¦¦733781/19- 035pt_BR
dc.sponsorship.butantan(NIH) Fogarty International Center¦¦R21TW011944pt_BR
dc.sponsorship.butantan(CAPES) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior¦¦pt_BR
dc.identifier.bvsccBR78.1pt_BR
dc.identifier.bvsdbIBProdpt_BR
dc.description.dbindexedYespt_BR
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