Unveiling the secrets of snakes: Analysis of environmental, socioeconomic, and spatial factors associated with snakebite risk in Paraná, Southern Brazil

The state of Paraná is home to three out of the five medically significant snake genera in Brazil and lacks of snakebite epidemiology studies. This study aimed to ascertain the spatial, environmental, and socioeconomic factors associated with snakebite risk by analyzing notification data of cases in...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Toxicon (Oxford) 2024-01, Vol.237, p.107552-107552, Article 107552
Hauptverfasser: Kono, Isabelli Sayuri, Pandolfi, Victor César Freitas, Marchi, Melca Niceia Altoé de, Freitas, Nicolas, Freire, Roberta Lemos
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 107552
container_issue
container_start_page 107552
container_title Toxicon (Oxford)
container_volume 237
creator Kono, Isabelli Sayuri
Pandolfi, Victor César Freitas
Marchi, Melca Niceia Altoé de
Freitas, Nicolas
Freire, Roberta Lemos
description The state of Paraná is home to three out of the five medically significant snake genera in Brazil and lacks of snakebite epidemiology studies. This study aimed to ascertain the spatial, environmental, and socioeconomic factors associated with snakebite risk by analyzing notification data of cases in the state of Paraná. Notification and socioeconomic data were gathered from the online platforms of the National System of Notifiable Diseases (SINAN) and the Brazilian Institute of Geography and Statistics (IBGE). Land cover and land use maps were obtained from the Mapbiomas platform in raster format and subsequently converted into vectors using QGis software. The proportions of land use and land cover in square kilometers (km2) were then calculated. All acquired data were tabulated using Microsoft Excel 365 software. For spatial analysis, GeoDa software version 1.20 was utilized to calculate the Global and Local Moran indices, assessing spatial correlations. Between 2007 and 2021, 12,877 notifications were recorded, with an average incidence of 8.22/100,000 inhabitants in the state, 8166 (63.41%) caused by Bothrops, 1534 (11.91%) caused by Crotalus, 56 (0.43%) caused by Micrurus. 1703 (13.22%) caused by non-venomous snake species, and the remaining cases did not have the identified causative species. The incidents caused by Bothrops and Crotalus showed different distribution patterns. Spatial analysis revealed that key factors contributing to snakebite risk included the presence of native forests, mangroves, apicuns, and monospecific planted forests. The population group at the highest risk comprised rural residents and workers. Furthermore, the absence of basic sanitation and proper garbage collection and disposal exhibited positive correlations with snakebites. Conversely, intensive farming practices with substantial mechanization and pastures demonstrated negative spatial correlations. This study has enabled the identification of the primary factors associated with snakebite risk, facilitating more targeted efforts to prevent snakebite accidents among vulnerable populations. [Display omitted] •Native and monospecific forests have a positive spatial correlation with snakebites.•Mechanized agriculture, antropization and deforestation impact snakebite.•Manual rural workers and residents are more vulnerable to snakebites.•The absence of basic sanitation and proper garbage collection increases snakebites.•The incidents caused by snakes of the genera Bothrops an
doi_str_mv 10.1016/j.toxicon.2023.107552
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_pubmed_primary_38065257</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S004101012300363X</els_id><sourcerecordid>3040399875</sourcerecordid><originalsourceid>FETCH-LOGICAL-c313t-bb82af2a51a07ba14f7745b33559ada8cfa60b1a7f76f8ff1933d1dba80efe9b3</originalsourceid><addsrcrecordid>eNqFkc9u1DAQhy0EokvhEUA-ctgsdrxOYi6orfgnVQIJerYmzph6m9iL7V0ob8KRZ-HF8JKFa08jjb7fzGg-Qp5ytuKMNy82qxy-OxP8qma1KL1WyvoeWfCuVZXgkt0nC8bWvGIFPyGPUtowxkSnmofkRHSskbVsF-Tnld-jG53_QvM10oQmYk40WJo83GB6Sc88jLfJ_e2h37sY_IQ-w7ikKRgXsNwQJmeWFPxA0xayg5FaMDnERCEdIMg40G8uX89Te5eRRpduqPP0I0Twv38t6aewKydET88j_HDjY_LAwpjwybGekqs3rz9fvKsuP7x9f3F2WRnBRa76vqvB1iA5sLYHvrZtu5a9EFIqGKAzFhrWc2ht29jOWq6EGPjQQ8fQourFKXk-z93G8HWHKevJJYPjCB7DLmnB1kwo1bXyTrRWrFZNebEqqJxRE0NKEa3eRjdBvNWc6YNAvdFHgfogUM8CS-7ZccWun3D4n_pnrACvZgDLT_YOo07GoTc4uIgm6yG4O1b8AaB2s1c</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2902968969</pqid></control><display><type>article</type><title>Unveiling the secrets of snakes: Analysis of environmental, socioeconomic, and spatial factors associated with snakebite risk in Paraná, Southern Brazil</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Kono, Isabelli Sayuri ; Pandolfi, Victor César Freitas ; Marchi, Melca Niceia Altoé de ; Freitas, Nicolas ; Freire, Roberta Lemos</creator><creatorcontrib>Kono, Isabelli Sayuri ; Pandolfi, Victor César Freitas ; Marchi, Melca Niceia Altoé de ; Freitas, Nicolas ; Freire, Roberta Lemos</creatorcontrib><description>The state of Paraná is home to three out of the five medically significant snake genera in Brazil and lacks of snakebite epidemiology studies. This study aimed to ascertain the spatial, environmental, and socioeconomic factors associated with snakebite risk by analyzing notification data of cases in the state of Paraná. Notification and socioeconomic data were gathered from the online platforms of the National System of Notifiable Diseases (SINAN) and the Brazilian Institute of Geography and Statistics (IBGE). Land cover and land use maps were obtained from the Mapbiomas platform in raster format and subsequently converted into vectors using QGis software. The proportions of land use and land cover in square kilometers (km2) were then calculated. All acquired data were tabulated using Microsoft Excel 365 software. For spatial analysis, GeoDa software version 1.20 was utilized to calculate the Global and Local Moran indices, assessing spatial correlations. Between 2007 and 2021, 12,877 notifications were recorded, with an average incidence of 8.22/100,000 inhabitants in the state, 8166 (63.41%) caused by Bothrops, 1534 (11.91%) caused by Crotalus, 56 (0.43%) caused by Micrurus. 1703 (13.22%) caused by non-venomous snake species, and the remaining cases did not have the identified causative species. The incidents caused by Bothrops and Crotalus showed different distribution patterns. Spatial analysis revealed that key factors contributing to snakebite risk included the presence of native forests, mangroves, apicuns, and monospecific planted forests. The population group at the highest risk comprised rural residents and workers. Furthermore, the absence of basic sanitation and proper garbage collection and disposal exhibited positive correlations with snakebites. Conversely, intensive farming practices with substantial mechanization and pastures demonstrated negative spatial correlations. This study has enabled the identification of the primary factors associated with snakebite risk, facilitating more targeted efforts to prevent snakebite accidents among vulnerable populations. [Display omitted] •Native and monospecific forests have a positive spatial correlation with snakebites.•Mechanized agriculture, antropization and deforestation impact snakebite.•Manual rural workers and residents are more vulnerable to snakebites.•The absence of basic sanitation and proper garbage collection increases snakebites.•The incidents caused by snakes of the genera Bothrops and Crotalus showed different distribution patterns.</description><identifier>ISSN: 0041-0101</identifier><identifier>EISSN: 1879-3150</identifier><identifier>DOI: 10.1016/j.toxicon.2023.107552</identifier><identifier>PMID: 38065257</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Animals ; Atlantic forest ; Bothrops ; Brazil ; Brazil - epidemiology ; computer software ; Crotalus ; epidemiology ; Geography ; Humans ; land cover ; land use ; land use and land cover maps ; mechanization ; Micrurus ; municipal solid waste ; Neglected disease ; risk ; sanitation ; snake bites ; Snake Bites - complications ; Snake Bites - epidemiology ; Snakebite epidemiology ; Snakes ; species</subject><ispartof>Toxicon (Oxford), 2024-01, Vol.237, p.107552-107552, Article 107552</ispartof><rights>2023 Elsevier Ltd</rights><rights>Copyright © 2023 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c313t-bb82af2a51a07ba14f7745b33559ada8cfa60b1a7f76f8ff1933d1dba80efe9b3</citedby><cites>FETCH-LOGICAL-c313t-bb82af2a51a07ba14f7745b33559ada8cfa60b1a7f76f8ff1933d1dba80efe9b3</cites><orcidid>0000-0001-8522-035X ; 0000-0003-2249-1931 ; 0000-0002-0362-5466</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.toxicon.2023.107552$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38065257$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kono, Isabelli Sayuri</creatorcontrib><creatorcontrib>Pandolfi, Victor César Freitas</creatorcontrib><creatorcontrib>Marchi, Melca Niceia Altoé de</creatorcontrib><creatorcontrib>Freitas, Nicolas</creatorcontrib><creatorcontrib>Freire, Roberta Lemos</creatorcontrib><title>Unveiling the secrets of snakes: Analysis of environmental, socioeconomic, and spatial factors associated with snakebite risk in Paraná, Southern Brazil</title><title>Toxicon (Oxford)</title><addtitle>Toxicon</addtitle><description>The state of Paraná is home to three out of the five medically significant snake genera in Brazil and lacks of snakebite epidemiology studies. This study aimed to ascertain the spatial, environmental, and socioeconomic factors associated with snakebite risk by analyzing notification data of cases in the state of Paraná. Notification and socioeconomic data were gathered from the online platforms of the National System of Notifiable Diseases (SINAN) and the Brazilian Institute of Geography and Statistics (IBGE). Land cover and land use maps were obtained from the Mapbiomas platform in raster format and subsequently converted into vectors using QGis software. The proportions of land use and land cover in square kilometers (km2) were then calculated. All acquired data were tabulated using Microsoft Excel 365 software. For spatial analysis, GeoDa software version 1.20 was utilized to calculate the Global and Local Moran indices, assessing spatial correlations. Between 2007 and 2021, 12,877 notifications were recorded, with an average incidence of 8.22/100,000 inhabitants in the state, 8166 (63.41%) caused by Bothrops, 1534 (11.91%) caused by Crotalus, 56 (0.43%) caused by Micrurus. 1703 (13.22%) caused by non-venomous snake species, and the remaining cases did not have the identified causative species. The incidents caused by Bothrops and Crotalus showed different distribution patterns. Spatial analysis revealed that key factors contributing to snakebite risk included the presence of native forests, mangroves, apicuns, and monospecific planted forests. The population group at the highest risk comprised rural residents and workers. Furthermore, the absence of basic sanitation and proper garbage collection and disposal exhibited positive correlations with snakebites. Conversely, intensive farming practices with substantial mechanization and pastures demonstrated negative spatial correlations. This study has enabled the identification of the primary factors associated with snakebite risk, facilitating more targeted efforts to prevent snakebite accidents among vulnerable populations. [Display omitted] •Native and monospecific forests have a positive spatial correlation with snakebites.•Mechanized agriculture, antropization and deforestation impact snakebite.•Manual rural workers and residents are more vulnerable to snakebites.•The absence of basic sanitation and proper garbage collection increases snakebites.•The incidents caused by snakes of the genera Bothrops and Crotalus showed different distribution patterns.</description><subject>Animals</subject><subject>Atlantic forest</subject><subject>Bothrops</subject><subject>Brazil</subject><subject>Brazil - epidemiology</subject><subject>computer software</subject><subject>Crotalus</subject><subject>epidemiology</subject><subject>Geography</subject><subject>Humans</subject><subject>land cover</subject><subject>land use</subject><subject>land use and land cover maps</subject><subject>mechanization</subject><subject>Micrurus</subject><subject>municipal solid waste</subject><subject>Neglected disease</subject><subject>risk</subject><subject>sanitation</subject><subject>snake bites</subject><subject>Snake Bites - complications</subject><subject>Snake Bites - epidemiology</subject><subject>Snakebite epidemiology</subject><subject>Snakes</subject><subject>species</subject><issn>0041-0101</issn><issn>1879-3150</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc9u1DAQhy0EokvhEUA-ctgsdrxOYi6orfgnVQIJerYmzph6m9iL7V0ob8KRZ-HF8JKFa08jjb7fzGg-Qp5ytuKMNy82qxy-OxP8qma1KL1WyvoeWfCuVZXgkt0nC8bWvGIFPyGPUtowxkSnmofkRHSskbVsF-Tnld-jG53_QvM10oQmYk40WJo83GB6Sc88jLfJ_e2h37sY_IQ-w7ikKRgXsNwQJmeWFPxA0xayg5FaMDnERCEdIMg40G8uX89Te5eRRpduqPP0I0Twv38t6aewKydET88j_HDjY_LAwpjwybGekqs3rz9fvKsuP7x9f3F2WRnBRa76vqvB1iA5sLYHvrZtu5a9EFIqGKAzFhrWc2ht29jOWq6EGPjQQ8fQourFKXk-z93G8HWHKevJJYPjCB7DLmnB1kwo1bXyTrRWrFZNebEqqJxRE0NKEa3eRjdBvNWc6YNAvdFHgfogUM8CS-7ZccWun3D4n_pnrACvZgDLT_YOo07GoTc4uIgm6yG4O1b8AaB2s1c</recordid><startdate>202401</startdate><enddate>202401</enddate><creator>Kono, Isabelli Sayuri</creator><creator>Pandolfi, Victor César Freitas</creator><creator>Marchi, Melca Niceia Altoé de</creator><creator>Freitas, Nicolas</creator><creator>Freire, Roberta Lemos</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-8522-035X</orcidid><orcidid>https://orcid.org/0000-0003-2249-1931</orcidid><orcidid>https://orcid.org/0000-0002-0362-5466</orcidid></search><sort><creationdate>202401</creationdate><title>Unveiling the secrets of snakes: Analysis of environmental, socioeconomic, and spatial factors associated with snakebite risk in Paraná, Southern Brazil</title><author>Kono, Isabelli Sayuri ; Pandolfi, Victor César Freitas ; Marchi, Melca Niceia Altoé de ; Freitas, Nicolas ; Freire, Roberta Lemos</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-bb82af2a51a07ba14f7745b33559ada8cfa60b1a7f76f8ff1933d1dba80efe9b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Animals</topic><topic>Atlantic forest</topic><topic>Bothrops</topic><topic>Brazil</topic><topic>Brazil - epidemiology</topic><topic>computer software</topic><topic>Crotalus</topic><topic>epidemiology</topic><topic>Geography</topic><topic>Humans</topic><topic>land cover</topic><topic>land use</topic><topic>land use and land cover maps</topic><topic>mechanization</topic><topic>Micrurus</topic><topic>municipal solid waste</topic><topic>Neglected disease</topic><topic>risk</topic><topic>sanitation</topic><topic>snake bites</topic><topic>Snake Bites - complications</topic><topic>Snake Bites - epidemiology</topic><topic>Snakebite epidemiology</topic><topic>Snakes</topic><topic>species</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kono, Isabelli Sayuri</creatorcontrib><creatorcontrib>Pandolfi, Victor César Freitas</creatorcontrib><creatorcontrib>Marchi, Melca Niceia Altoé de</creatorcontrib><creatorcontrib>Freitas, Nicolas</creatorcontrib><creatorcontrib>Freire, Roberta Lemos</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Toxicon (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kono, Isabelli Sayuri</au><au>Pandolfi, Victor César Freitas</au><au>Marchi, Melca Niceia Altoé de</au><au>Freitas, Nicolas</au><au>Freire, Roberta Lemos</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unveiling the secrets of snakes: Analysis of environmental, socioeconomic, and spatial factors associated with snakebite risk in Paraná, Southern Brazil</atitle><jtitle>Toxicon (Oxford)</jtitle><addtitle>Toxicon</addtitle><date>2024-01</date><risdate>2024</risdate><volume>237</volume><spage>107552</spage><epage>107552</epage><pages>107552-107552</pages><artnum>107552</artnum><issn>0041-0101</issn><eissn>1879-3150</eissn><abstract>The state of Paraná is home to three out of the five medically significant snake genera in Brazil and lacks of snakebite epidemiology studies. This study aimed to ascertain the spatial, environmental, and socioeconomic factors associated with snakebite risk by analyzing notification data of cases in the state of Paraná. Notification and socioeconomic data were gathered from the online platforms of the National System of Notifiable Diseases (SINAN) and the Brazilian Institute of Geography and Statistics (IBGE). Land cover and land use maps were obtained from the Mapbiomas platform in raster format and subsequently converted into vectors using QGis software. The proportions of land use and land cover in square kilometers (km2) were then calculated. All acquired data were tabulated using Microsoft Excel 365 software. For spatial analysis, GeoDa software version 1.20 was utilized to calculate the Global and Local Moran indices, assessing spatial correlations. Between 2007 and 2021, 12,877 notifications were recorded, with an average incidence of 8.22/100,000 inhabitants in the state, 8166 (63.41%) caused by Bothrops, 1534 (11.91%) caused by Crotalus, 56 (0.43%) caused by Micrurus. 1703 (13.22%) caused by non-venomous snake species, and the remaining cases did not have the identified causative species. The incidents caused by Bothrops and Crotalus showed different distribution patterns. Spatial analysis revealed that key factors contributing to snakebite risk included the presence of native forests, mangroves, apicuns, and monospecific planted forests. The population group at the highest risk comprised rural residents and workers. Furthermore, the absence of basic sanitation and proper garbage collection and disposal exhibited positive correlations with snakebites. Conversely, intensive farming practices with substantial mechanization and pastures demonstrated negative spatial correlations. This study has enabled the identification of the primary factors associated with snakebite risk, facilitating more targeted efforts to prevent snakebite accidents among vulnerable populations. [Display omitted] •Native and monospecific forests have a positive spatial correlation with snakebites.•Mechanized agriculture, antropization and deforestation impact snakebite.•Manual rural workers and residents are more vulnerable to snakebites.•The absence of basic sanitation and proper garbage collection increases snakebites.•The incidents caused by snakes of the genera Bothrops and Crotalus showed different distribution patterns.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>38065257</pmid><doi>10.1016/j.toxicon.2023.107552</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-8522-035X</orcidid><orcidid>https://orcid.org/0000-0003-2249-1931</orcidid><orcidid>https://orcid.org/0000-0002-0362-5466</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0041-0101
ispartof Toxicon (Oxford), 2024-01, Vol.237, p.107552-107552, Article 107552
issn 0041-0101
1879-3150
language eng
recordid cdi_pubmed_primary_38065257
source MEDLINE; Elsevier ScienceDirect Journals
subjects Animals
Atlantic forest
Bothrops
Brazil
Brazil - epidemiology
computer software
Crotalus
epidemiology
Geography
Humans
land cover
land use
land use and land cover maps
mechanization
Micrurus
municipal solid waste
Neglected disease
risk
sanitation
snake bites
Snake Bites - complications
Snake Bites - epidemiology
Snakebite epidemiology
Snakes
species
title Unveiling the secrets of snakes: Analysis of environmental, socioeconomic, and spatial factors associated with snakebite risk in Paraná, Southern Brazil
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T04%3A35%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Unveiling%20the%20secrets%20of%20snakes:%20Analysis%20of%20environmental,%20socioeconomic,%20and%20spatial%20factors%20associated%20with%20snakebite%20risk%20in%20Paran%C3%A1,%20Southern%20Brazil&rft.jtitle=Toxicon%20(Oxford)&rft.au=Kono,%20Isabelli%20Sayuri&rft.date=2024-01&rft.volume=237&rft.spage=107552&rft.epage=107552&rft.pages=107552-107552&rft.artnum=107552&rft.issn=0041-0101&rft.eissn=1879-3150&rft_id=info:doi/10.1016/j.toxicon.2023.107552&rft_dat=%3Cproquest_cross%3E3040399875%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2902968969&rft_id=info:pmid/38065257&rft_els_id=S004101012300363X&rfr_iscdi=true