Spatial distribution of arboviruses and its association with a social development index and the waste disposal in São Luís, state of Maranhão, Brazil, 2015 to 2019 Article Swipe
Emile Danielly Amorim Pereira
,
Cléber Nascimento do Carmo
,
Waleska Regina Machado Araújo
,
Maria dos Remédios Freitas Carvalho Branco
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1590/1980-549720240017
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1590/1980-549720240017
Objective: To detect spatial and spatiotemporal clusters of urban arboviruses and to investigate whether the social development index (SDI) and irregular waste disposal are related to the coefficient of urban arboviruses detection in São Luís, state of Maranhão, Brazil. Methods: The confirmed cases of Dengue, Zika and Chikungunya in São Luís, from 2015 to 2019, were georeferenced to the census tract of residence. The Bayesian Conditional Autoregressive regression model was used to identify the association between SDI and irregular waste disposal sites and the coefficient of urban arboviruses detection. Results: The spatial pattern of arboviruses pointed to the predominance of a low-incidence cluster, except 2016. For the years 2015, 2016, 2017, and 2019, an increase of one unit of waste disposal site increased the coefficient of arboviruses detection in 1.25, 1.09, 1.23, and 1.13 cases of arboviruses per 100 thousand inhabitants, respectively. The SDI was not associated with the coefficient of arboviruses detection. Conclusion: In São Luís, spatiotemporal risk clusters for the occurrence of arboviruses and a positive association between the coefficient of arbovirus detection and sites of irregular waste disposal were identified.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1590/1980-549720240017
- https://www.scielo.br/j/rbepid/a/5S5DDFyHb8nNhYWfQqrHgqR/?lang=en&format=pdf
- OA Status
- diamond
- Cited By
- 3
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396614569
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4396614569Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1590/1980-549720240017Digital Object Identifier
- Title
-
Spatial distribution of arboviruses and its association with a social development index and the waste disposal in São Luís, state of Maranhão, Brazil, 2015 to 2019Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Emile Danielly Amorim Pereira, Cléber Nascimento do Carmo, Waleska Regina Machado Araújo, Maria dos Remédios Freitas Carvalho BrancoList of authors in order
- Landing page
-
https://doi.org/10.1590/1980-549720240017Publisher landing page
- PDF URL
-
https://www.scielo.br/j/rbepid/a/5S5DDFyHb8nNhYWfQqrHgqR/?lang=en&format=pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.scielo.br/j/rbepid/a/5S5DDFyHb8nNhYWfQqrHgqR/?lang=en&format=pdfDirect OA link when available
- Concepts
-
Geography, Dengue fever, Georeference, Chikungunya, Cartography, Biology, Virology, Physical geographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4396614569 |
|---|---|
| doi | https://doi.org/10.1590/1980-549720240017 |
| ids.doi | https://doi.org/10.1590/1980-549720240017 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/38716959 |
| ids.openalex | https://openalex.org/W4396614569 |
| fwci | 4.03729839 |
| mesh[0].qualifier_ui | Q000453 |
| mesh[0].descriptor_ui | D001938 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | epidemiology |
| mesh[0].descriptor_name | Brazil |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D006801 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Humans |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D001103 |
| mesh[2].is_major_topic | True |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Arboviruses |
| mesh[3].qualifier_ui | Q000453 |
| mesh[3].descriptor_ui | D003715 |
| mesh[3].is_major_topic | True |
| mesh[3].qualifier_name | epidemiology |
| mesh[3].descriptor_name | Dengue |
| mesh[4].qualifier_ui | Q000453 |
| mesh[4].descriptor_ui | D065632 |
| mesh[4].is_major_topic | True |
| mesh[4].qualifier_name | epidemiology |
| mesh[4].descriptor_name | Chikungunya Fever |
| mesh[5].qualifier_ui | Q000453 |
| mesh[5].descriptor_ui | D001102 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | epidemiology |
| mesh[5].descriptor_name | Arbovirus Infections |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D001499 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Bayes Theorem |
| mesh[7].qualifier_ui | Q000453 |
| mesh[7].descriptor_ui | D000071243 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | epidemiology |
| mesh[7].descriptor_name | Zika Virus Infection |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D062211 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Spatio-Temporal Analysis |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D012959 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Socioeconomic Factors |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D064091 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Waste Disposal Facilities |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D015994 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Incidence |
| mesh[12].qualifier_ui | Q000453 |
| mesh[12].descriptor_ui | D001938 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | epidemiology |
| mesh[12].descriptor_name | Brazil |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D006801 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Humans |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D001103 |
| mesh[14].is_major_topic | True |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Arboviruses |
| mesh[15].qualifier_ui | Q000453 |
| mesh[15].descriptor_ui | D003715 |
| mesh[15].is_major_topic | True |
| mesh[15].qualifier_name | epidemiology |
| mesh[15].descriptor_name | Dengue |
| mesh[16].qualifier_ui | Q000453 |
| mesh[16].descriptor_ui | D065632 |
| mesh[16].is_major_topic | True |
| mesh[16].qualifier_name | epidemiology |
| mesh[16].descriptor_name | Chikungunya Fever |
| mesh[17].qualifier_ui | Q000453 |
| mesh[17].descriptor_ui | D001102 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | epidemiology |
| mesh[17].descriptor_name | Arbovirus Infections |
| mesh[18].qualifier_ui | |
| mesh[18].descriptor_ui | D001499 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | |
| mesh[18].descriptor_name | Bayes Theorem |
| mesh[19].qualifier_ui | Q000453 |
| mesh[19].descriptor_ui | D000071243 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | epidemiology |
| mesh[19].descriptor_name | Zika Virus Infection |
| mesh[20].qualifier_ui | |
| mesh[20].descriptor_ui | D062211 |
| mesh[20].is_major_topic | False |
| mesh[20].qualifier_name | |
| mesh[20].descriptor_name | Spatio-Temporal Analysis |
| mesh[21].qualifier_ui | |
| mesh[21].descriptor_ui | D012959 |
| mesh[21].is_major_topic | False |
| mesh[21].qualifier_name | |
| mesh[21].descriptor_name | Socioeconomic Factors |
| mesh[22].qualifier_ui | |
| mesh[22].descriptor_ui | D064091 |
| mesh[22].is_major_topic | False |
| mesh[22].qualifier_name | |
| mesh[22].descriptor_name | Waste Disposal Facilities |
| mesh[23].qualifier_ui | |
| mesh[23].descriptor_ui | D015994 |
| mesh[23].is_major_topic | False |
| mesh[23].qualifier_name | |
| mesh[23].descriptor_name | Incidence |
| mesh[24].qualifier_ui | Q000453 |
| mesh[24].descriptor_ui | D001938 |
| mesh[24].is_major_topic | False |
| mesh[24].qualifier_name | epidemiology |
| mesh[24].descriptor_name | Brazil |
| mesh[25].qualifier_ui | |
| mesh[25].descriptor_ui | D006801 |
| mesh[25].is_major_topic | False |
| mesh[25].qualifier_name | |
| mesh[25].descriptor_name | Humans |
| mesh[26].qualifier_ui | |
| mesh[26].descriptor_ui | D001103 |
| mesh[26].is_major_topic | True |
| mesh[26].qualifier_name | |
| mesh[26].descriptor_name | Arboviruses |
| mesh[27].qualifier_ui | Q000453 |
| mesh[27].descriptor_ui | D003715 |
| mesh[27].is_major_topic | True |
| mesh[27].qualifier_name | epidemiology |
| mesh[27].descriptor_name | Dengue |
| mesh[28].qualifier_ui | Q000453 |
| mesh[28].descriptor_ui | D065632 |
| mesh[28].is_major_topic | True |
| mesh[28].qualifier_name | epidemiology |
| mesh[28].descriptor_name | Chikungunya Fever |
| mesh[29].qualifier_ui | Q000453 |
| mesh[29].descriptor_ui | D001102 |
| mesh[29].is_major_topic | False |
| mesh[29].qualifier_name | epidemiology |
| mesh[29].descriptor_name | Arbovirus Infections |
| mesh[30].qualifier_ui | |
| mesh[30].descriptor_ui | D001499 |
| mesh[30].is_major_topic | False |
| mesh[30].qualifier_name | |
| mesh[30].descriptor_name | Bayes Theorem |
| mesh[31].qualifier_ui | Q000453 |
| mesh[31].descriptor_ui | D000071243 |
| mesh[31].is_major_topic | False |
| mesh[31].qualifier_name | epidemiology |
| mesh[31].descriptor_name | Zika Virus Infection |
| mesh[32].qualifier_ui | |
| mesh[32].descriptor_ui | D062211 |
| mesh[32].is_major_topic | False |
| mesh[32].qualifier_name | |
| mesh[32].descriptor_name | Spatio-Temporal Analysis |
| mesh[33].qualifier_ui | |
| mesh[33].descriptor_ui | D012959 |
| mesh[33].is_major_topic | False |
| mesh[33].qualifier_name | |
| mesh[33].descriptor_name | Socioeconomic Factors |
| mesh[34].qualifier_ui | |
| mesh[34].descriptor_ui | D064091 |
| mesh[34].is_major_topic | False |
| mesh[34].qualifier_name | |
| mesh[34].descriptor_name | Waste Disposal Facilities |
| mesh[35].qualifier_ui | |
| mesh[35].descriptor_ui | D015994 |
| mesh[35].is_major_topic | False |
| mesh[35].qualifier_name | |
| mesh[35].descriptor_name | Incidence |
| type | article |
| title | Spatial distribution of arboviruses and its association with a social development index and the waste disposal in São Luís, state of Maranhão, Brazil, 2015 to 2019 |
| biblio.issue | |
| biblio.volume | 27 |
| biblio.last_page | e240017 |
| biblio.first_page | e240017 |
| topics[0].id | https://openalex.org/T10166 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2739 |
| topics[0].subfield.display_name | Public Health, Environmental and Occupational Health |
| topics[0].display_name | Mosquito-borne diseases and control |
| topics[1].id | https://openalex.org/T10410 |
| topics[1].field.id | https://openalex.org/fields/26 |
| topics[1].field.display_name | Mathematics |
| topics[1].score | 0.9865000247955322 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2611 |
| topics[1].subfield.display_name | Modeling and Simulation |
| topics[1].display_name | COVID-19 epidemiological studies |
| topics[2].id | https://openalex.org/T12492 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9760000109672546 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2739 |
| topics[2].subfield.display_name | Public Health, Environmental and Occupational Health |
| topics[2].display_name | Zoonotic diseases and public health |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C205649164 |
| concepts[0].level | 0 |
| concepts[0].score | 0.5349525213241577 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[0].display_name | Geography |
| concepts[1].id | https://openalex.org/C533803919 |
| concepts[1].level | 2 |
| concepts[1].score | 0.4951438009738922 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q30953 |
| concepts[1].display_name | Dengue fever |
| concepts[2].id | https://openalex.org/C75145180 |
| concepts[2].level | 2 |
| concepts[2].score | 0.4763658046722412 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q772007 |
| concepts[2].display_name | Georeference |
| concepts[3].id | https://openalex.org/C2781273456 |
| concepts[3].level | 3 |
| concepts[3].score | 0.4558098018169403 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q243257 |
| concepts[3].display_name | Chikungunya |
| concepts[4].id | https://openalex.org/C58640448 |
| concepts[4].level | 1 |
| concepts[4].score | 0.36983436346054077 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q42515 |
| concepts[4].display_name | Cartography |
| concepts[5].id | https://openalex.org/C86803240 |
| concepts[5].level | 0 |
| concepts[5].score | 0.1988982856273651 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[5].display_name | Biology |
| concepts[6].id | https://openalex.org/C159047783 |
| concepts[6].level | 1 |
| concepts[6].score | 0.1604623794555664 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q7215 |
| concepts[6].display_name | Virology |
| concepts[7].id | https://openalex.org/C100970517 |
| concepts[7].level | 1 |
| concepts[7].score | 0.13789862394332886 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q52107 |
| concepts[7].display_name | Physical geography |
| keywords[0].id | https://openalex.org/keywords/geography |
| keywords[0].score | 0.5349525213241577 |
| keywords[0].display_name | Geography |
| keywords[1].id | https://openalex.org/keywords/dengue-fever |
| keywords[1].score | 0.4951438009738922 |
| keywords[1].display_name | Dengue fever |
| keywords[2].id | https://openalex.org/keywords/georeference |
| keywords[2].score | 0.4763658046722412 |
| keywords[2].display_name | Georeference |
| keywords[3].id | https://openalex.org/keywords/chikungunya |
| keywords[3].score | 0.4558098018169403 |
| keywords[3].display_name | Chikungunya |
| keywords[4].id | https://openalex.org/keywords/cartography |
| keywords[4].score | 0.36983436346054077 |
| keywords[4].display_name | Cartography |
| keywords[5].id | https://openalex.org/keywords/biology |
| keywords[5].score | 0.1988982856273651 |
| keywords[5].display_name | Biology |
| keywords[6].id | https://openalex.org/keywords/virology |
| keywords[6].score | 0.1604623794555664 |
| keywords[6].display_name | Virology |
| keywords[7].id | https://openalex.org/keywords/physical-geography |
| keywords[7].score | 0.13789862394332886 |
| keywords[7].display_name | Physical geography |
| language | en |
| locations[0].id | doi:10.1590/1980-549720240017 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S142561611 |
| locations[0].source.issn | 1415-790X, 1980-5497 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1415-790X |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Revista Brasileira de Epidemiologia |
| locations[0].source.host_organization | https://openalex.org/P4310312543 |
| locations[0].source.host_organization_name | Associação Brasileira de Saúde Coletiva |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310312543 |
| locations[0].source.host_organization_lineage_names | Associação Brasileira de Saúde Coletiva |
| locations[0].license | cc-by-nc |
| locations[0].pdf_url | https://www.scielo.br/j/rbepid/a/5S5DDFyHb8nNhYWfQqrHgqR/?lang=en&format=pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Revista Brasileira de Epidemiologia |
| locations[0].landing_page_url | https://doi.org/10.1590/1980-549720240017 |
| locations[1].id | pmid:38716959 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Revista brasileira de epidemiologia = Brazilian journal of epidemiology |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/38716959 |
| locations[2].id | pmh:oai:doaj.org/article:c2b43fd378654dd2a697f54686a60abd |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Revista Brasileira de Epidemiologia, Vol 27 (2024) |
| locations[2].landing_page_url | https://doaj.org/article/c2b43fd378654dd2a697f54686a60abd |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:11073584 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Rev Bras Epidemiol |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11073584 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5033499149 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5821-5149 |
| authorships[0].author.display_name | Emile Danielly Amorim Pereira |
| authorships[0].countries | BR |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I52325 |
| authorships[0].affiliations[0].raw_affiliation_string | Fundação Oswaldo Cruz, Brazil |
| authorships[0].institutions[0].id | https://openalex.org/I52325 |
| authorships[0].institutions[0].ror | https://ror.org/04jhswv08 |
| authorships[0].institutions[0].type | facility |
| authorships[0].institutions[0].lineage | https://openalex.org/I52325 |
| authorships[0].institutions[0].country_code | BR |
| authorships[0].institutions[0].display_name | Fundação Oswaldo Cruz |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Emile Danielly Amorim Pereira |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Fundação Oswaldo Cruz, Brazil |
| authorships[1].author.id | https://openalex.org/A5031569340 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-4165-2198 |
| authorships[1].author.display_name | Cléber Nascimento do Carmo |
| authorships[1].countries | BR |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I52325 |
| authorships[1].affiliations[0].raw_affiliation_string | Fundação Oswaldo Cruz, Brazil |
| authorships[1].institutions[0].id | https://openalex.org/I52325 |
| authorships[1].institutions[0].ror | https://ror.org/04jhswv08 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I52325 |
| authorships[1].institutions[0].country_code | BR |
| authorships[1].institutions[0].display_name | Fundação Oswaldo Cruz |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Cleber Nascimento do Carmo |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Fundação Oswaldo Cruz, Brazil |
| authorships[2].author.id | https://openalex.org/A5061754692 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-5758-7947 |
| authorships[2].author.display_name | Waleska Regina Machado Araújo |
| authorships[2].countries | BR |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210136275 |
| authorships[2].affiliations[0].raw_affiliation_string | Secretaria de Estado da Saúde do Maranhão, Brazil |
| authorships[2].institutions[0].id | https://openalex.org/I4210136275 |
| authorships[2].institutions[0].ror | https://ror.org/03afd8w19 |
| authorships[2].institutions[0].type | government |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210136275 |
| authorships[2].institutions[0].country_code | BR |
| authorships[2].institutions[0].display_name | Secretaria da Saúde |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Waleska Regina Machado Araujo |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Secretaria de Estado da Saúde do Maranhão, Brazil |
| authorships[3].author.id | https://openalex.org/A5046234809 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-3537-0840 |
| authorships[3].author.display_name | Maria dos Remédios Freitas Carvalho Branco |
| authorships[3].countries | BR |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I47327664 |
| authorships[3].affiliations[0].raw_affiliation_string | Universidade Federal do Maranhão, Brazil |
| authorships[3].institutions[0].id | https://openalex.org/I47327664 |
| authorships[3].institutions[0].ror | https://ror.org/043fhe951 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I47327664 |
| authorships[3].institutions[0].country_code | BR |
| authorships[3].institutions[0].display_name | Universidade Federal do Maranhão |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Maria dos Remédios Freitas Carvalho Branco |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Universidade Federal do Maranhão, Brazil |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.scielo.br/j/rbepid/a/5S5DDFyHb8nNhYWfQqrHgqR/?lang=en&format=pdf |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Spatial distribution of arboviruses and its association with a social development index and the waste disposal in São Luís, state of Maranhão, Brazil, 2015 to 2019 |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10166 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2739 |
| primary_topic.subfield.display_name | Public Health, Environmental and Occupational Health |
| primary_topic.display_name | Mosquito-borne diseases and control |
| related_works | https://openalex.org/W2748952813, https://openalex.org/W2410851192, https://openalex.org/W4381663654, https://openalex.org/W2418053309, https://openalex.org/W4392145607, https://openalex.org/W2883249868, https://openalex.org/W3185336703, https://openalex.org/W287830909, https://openalex.org/W2308616044, https://openalex.org/W1482410789 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1590/1980-549720240017 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S142561611 |
| best_oa_location.source.issn | 1415-790X, 1980-5497 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1415-790X |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Revista Brasileira de Epidemiologia |
| best_oa_location.source.host_organization | https://openalex.org/P4310312543 |
| best_oa_location.source.host_organization_name | Associação Brasileira de Saúde Coletiva |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310312543 |
| best_oa_location.source.host_organization_lineage_names | Associação Brasileira de Saúde Coletiva |
| best_oa_location.license | cc-by-nc |
| best_oa_location.pdf_url | https://www.scielo.br/j/rbepid/a/5S5DDFyHb8nNhYWfQqrHgqR/?lang=en&format=pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Revista Brasileira de Epidemiologia |
| best_oa_location.landing_page_url | https://doi.org/10.1590/1980-549720240017 |
| primary_location.id | doi:10.1590/1980-549720240017 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S142561611 |
| primary_location.source.issn | 1415-790X, 1980-5497 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1415-790X |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Revista Brasileira de Epidemiologia |
| primary_location.source.host_organization | https://openalex.org/P4310312543 |
| primary_location.source.host_organization_name | Associação Brasileira de Saúde Coletiva |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310312543 |
| primary_location.source.host_organization_lineage_names | Associação Brasileira de Saúde Coletiva |
| primary_location.license | cc-by-nc |
| primary_location.pdf_url | https://www.scielo.br/j/rbepid/a/5S5DDFyHb8nNhYWfQqrHgqR/?lang=en&format=pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Revista Brasileira de Epidemiologia |
| primary_location.landing_page_url | https://doi.org/10.1590/1980-549720240017 |
| publication_date | 2024-01-01 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4309496582, https://openalex.org/W2751999851, https://openalex.org/W2921319807, https://openalex.org/W3090470243, https://openalex.org/W2755014357, https://openalex.org/W2117393744, https://openalex.org/W2460570681, https://openalex.org/W1931941312, https://openalex.org/W2755344201, https://openalex.org/W2511909441, https://openalex.org/W2731509543, https://openalex.org/W989848165, https://openalex.org/W2045358268, https://openalex.org/W2922997724, https://openalex.org/W2118946263, https://openalex.org/W2171447118, https://openalex.org/W2734165132, https://openalex.org/W2163910139, https://openalex.org/W2802347971, https://openalex.org/W2919977339, https://openalex.org/W3004981834, https://openalex.org/W3206296265, https://openalex.org/W2312040395, https://openalex.org/W2810100798, https://openalex.org/W2597541339, https://openalex.org/W2603720160, https://openalex.org/W2123282607, https://openalex.org/W2606273320 |
| referenced_works_count | 28 |
| abstract_inverted_index.a | 101, 167 |
| abstract_inverted_index.In | 155 |
| abstract_inverted_index.To | 2 |
| abstract_inverted_index.an | 114 |
| abstract_inverted_index.in | 33, 49, 129 |
| abstract_inverted_index.of | 8, 29, 37, 44, 62, 86, 94, 100, 116, 119, 126, 136, 151, 164, 173, 178 |
| abstract_inverted_index.to | 12, 26, 54, 58, 72, 97 |
| abstract_inverted_index.100 | 139 |
| abstract_inverted_index.For | 106 |
| abstract_inverted_index.SDI | 77, 144 |
| abstract_inverted_index.The | 41, 64, 91, 143 |
| abstract_inverted_index.and | 5, 11, 20, 47, 78, 83, 112, 133, 166, 176 |
| abstract_inverted_index.are | 24 |
| abstract_inverted_index.for | 161 |
| abstract_inverted_index.not | 146 |
| abstract_inverted_index.one | 117 |
| abstract_inverted_index.per | 138 |
| abstract_inverted_index.the | 15, 27, 59, 74, 84, 98, 107, 124, 149, 162, 171 |
| abstract_inverted_index.was | 70, 145 |
| abstract_inverted_index.1.13 | 134 |
| abstract_inverted_index.2015 | 53 |
| abstract_inverted_index.São | 34, 50, 156 |
| abstract_inverted_index.Zika | 46 |
| abstract_inverted_index.from | 52 |
| abstract_inverted_index.risk | 159 |
| abstract_inverted_index.site | 122 |
| abstract_inverted_index.unit | 118 |
| abstract_inverted_index.used | 71 |
| abstract_inverted_index.were | 56, 182 |
| abstract_inverted_index.with | 148 |
| abstract_inverted_index.(SDI) | 19 |
| abstract_inverted_index.1.09, | 131 |
| abstract_inverted_index.1.23, | 132 |
| abstract_inverted_index.1.25, | 130 |
| abstract_inverted_index.2015, | 109 |
| abstract_inverted_index.2016, | 110 |
| abstract_inverted_index.2016. | 105 |
| abstract_inverted_index.2017, | 111 |
| abstract_inverted_index.2019, | 55, 113 |
| abstract_inverted_index.cases | 43, 135 |
| abstract_inverted_index.index | 18 |
| abstract_inverted_index.model | 69 |
| abstract_inverted_index.sites | 82, 177 |
| abstract_inverted_index.state | 36 |
| abstract_inverted_index.tract | 61 |
| abstract_inverted_index.urban | 9, 30, 87 |
| abstract_inverted_index.waste | 22, 80, 120, 180 |
| abstract_inverted_index.years | 108 |
| abstract_inverted_index.Luís, | 35, 51, 157 |
| abstract_inverted_index.census | 60 |
| abstract_inverted_index.detect | 3 |
| abstract_inverted_index.except | 104 |
| abstract_inverted_index.social | 16 |
| abstract_inverted_index.Brazil. | 39 |
| abstract_inverted_index.Dengue, | 45 |
| abstract_inverted_index.between | 76, 170 |
| abstract_inverted_index.pattern | 93 |
| abstract_inverted_index.pointed | 96 |
| abstract_inverted_index.related | 25 |
| abstract_inverted_index.spatial | 4, 92 |
| abstract_inverted_index.whether | 14 |
| abstract_inverted_index.ABSTRACT | 0 |
| abstract_inverted_index.Bayesian | 65 |
| abstract_inverted_index.Methods: | 40 |
| abstract_inverted_index.Results: | 90 |
| abstract_inverted_index.cluster, | 103 |
| abstract_inverted_index.clusters | 7, 160 |
| abstract_inverted_index.disposal | 23, 81, 121, 181 |
| abstract_inverted_index.identify | 73 |
| abstract_inverted_index.increase | 115 |
| abstract_inverted_index.positive | 168 |
| abstract_inverted_index.thousand | 140 |
| abstract_inverted_index.arbovirus | 174 |
| abstract_inverted_index.confirmed | 42 |
| abstract_inverted_index.detection | 32, 128, 175 |
| abstract_inverted_index.increased | 123 |
| abstract_inverted_index.irregular | 21, 79, 179 |
| abstract_inverted_index.Maranhão, | 38 |
| abstract_inverted_index.Objective: | 1 |
| abstract_inverted_index.associated | 147 |
| abstract_inverted_index.detection. | 89, 153 |
| abstract_inverted_index.occurrence | 163 |
| abstract_inverted_index.regression | 68 |
| abstract_inverted_index.residence. | 63 |
| abstract_inverted_index.Chikungunya | 48 |
| abstract_inverted_index.Conclusion: | 154 |
| abstract_inverted_index.Conditional | 66 |
| abstract_inverted_index.arboviruses | 10, 31, 88, 95, 127, 137, 152, 165 |
| abstract_inverted_index.association | 75, 169 |
| abstract_inverted_index.coefficient | 28, 85, 125, 150, 172 |
| abstract_inverted_index.development | 17 |
| abstract_inverted_index.identified. | 183 |
| abstract_inverted_index.investigate | 13 |
| abstract_inverted_index.inhabitants, | 141 |
| abstract_inverted_index.predominance | 99 |
| abstract_inverted_index.georeferenced | 57 |
| abstract_inverted_index.low-incidence | 102 |
| abstract_inverted_index.respectively. | 142 |
| abstract_inverted_index.Autoregressive | 67 |
| abstract_inverted_index.spatiotemporal | 6, 158 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.7699999809265137 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.86412451 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |