Spatio-temporal analysis of human brucellosis distribution in Neyshabur, Iran from 2015 to 2022, a cross-sectional study Article Swipe
Ayoub Fathabadi
,
Fatemeh Khorashadizadeh
,
Reza Darrudi
,
Mohammad Maroosi
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0318503
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0318503
Background Human brucellosis is a global endemic disease and a significant public health concern. This cross-sectional study aims to explore the characteristics of human brucellosis, as well as its spatial and temporal clustering. Methods This cross-sectional study analyzed the population infected with human brucellosis in Neyshabur, Iran from 2015 to 2022. Data were obtained from the Neyshabur health center. Spatial analysis was conducted using Anselin Local Moran’s I and Global Moran’s I with ArcGIS 10.8.2. Descriptive statistical analyses were performed using SPSS 26. Results During the study period, a total of 4568 brucellosis patients were reported. The incidence of disease was higher in men with 55.37%. The majority of patients belonged to the 30 to 39-year-old age group. Temporal clustering analysis revealed a peak incidence between March and June. The highest incidence rates were observed in spring and summer, with 34.76% and 33.84% of cases, respectively. Spatial clustering analysis indicated a higher prevalence in the southern and southeast districts of Neyshabur. The results of Global Moran’s I analysis indicated that the distribution of brucellosis was not clustered in Neyshabur (P-value > 0.05). Conclusion The findings of this study highlight the importance of educational programs for mothers and animal vaccination strategies, particularly in the months leading up to the peak brucellosis season in high-incidence areas. Further research is needed to assess the coverage of livestock vaccination and its impact on human brucellosis rates.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0318503
- OA Status
- gold
- Cited By
- 1
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407690343
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4407690343Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pone.0318503Digital Object Identifier
- Title
-
Spatio-temporal analysis of human brucellosis distribution in Neyshabur, Iran from 2015 to 2022, a cross-sectional studyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-02-18Full publication date if available
- Authors
-
Ayoub Fathabadi, Fatemeh Khorashadizadeh, Reza Darrudi, Mohammad MaroosiList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pone.0318503Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1371/journal.pone.0318503Direct OA link when available
- Concepts
-
Brucellosis, Incidence (geometry), Cross-sectional study, Veterinary medicine, Demography, Geography, Public health, Epidemiology, Environmental health, Population, Medicine, Vaccination, Livestock, Immunology, Pathology, Physics, Optics, Sociology, ForestryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
48Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4407690343 |
|---|---|
| doi | https://doi.org/10.1371/journal.pone.0318503 |
| ids.doi | https://doi.org/10.1371/journal.pone.0318503 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/39965002 |
| ids.openalex | https://openalex.org/W4407690343 |
| fwci | 6.50055622 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D006801 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Humans |
| mesh[1].qualifier_ui | Q000453 |
| mesh[1].descriptor_ui | D002006 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | epidemiology |
| mesh[1].descriptor_name | Brucellosis |
| mesh[2].qualifier_ui | Q000453 |
| mesh[2].descriptor_ui | D007492 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | epidemiology |
| mesh[2].descriptor_name | Iran |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D003430 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Cross-Sectional Studies |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D000328 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Adult |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D008297 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Male |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D005260 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Female |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D062211 |
| mesh[7].is_major_topic | True |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Spatio-Temporal Analysis |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D008875 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Middle Aged |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D055815 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Young Adult |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D015994 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Incidence |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D000293 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Adolescent |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D002648 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Child |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D000368 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Aged |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D015995 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Prevalence |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D002675 |
| mesh[15].is_major_topic | False |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Child, Preschool |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D012621 |
| mesh[16].is_major_topic | False |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Seasons |
| mesh[17].qualifier_ui | |
| mesh[17].descriptor_ui | D016000 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | |
| mesh[17].descriptor_name | Cluster Analysis |
| mesh[18].qualifier_ui | |
| mesh[18].descriptor_ui | D006801 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | |
| mesh[18].descriptor_name | Humans |
| mesh[19].qualifier_ui | Q000453 |
| mesh[19].descriptor_ui | D002006 |
| mesh[19].is_major_topic | True |
| mesh[19].qualifier_name | epidemiology |
| mesh[19].descriptor_name | Brucellosis |
| mesh[20].qualifier_ui | Q000453 |
| mesh[20].descriptor_ui | D007492 |
| mesh[20].is_major_topic | False |
| mesh[20].qualifier_name | epidemiology |
| mesh[20].descriptor_name | Iran |
| mesh[21].qualifier_ui | |
| mesh[21].descriptor_ui | D003430 |
| mesh[21].is_major_topic | False |
| mesh[21].qualifier_name | |
| mesh[21].descriptor_name | Cross-Sectional Studies |
| mesh[22].qualifier_ui | |
| mesh[22].descriptor_ui | D000328 |
| mesh[22].is_major_topic | False |
| mesh[22].qualifier_name | |
| mesh[22].descriptor_name | Adult |
| mesh[23].qualifier_ui | |
| mesh[23].descriptor_ui | D008297 |
| mesh[23].is_major_topic | False |
| mesh[23].qualifier_name | |
| mesh[23].descriptor_name | Male |
| mesh[24].qualifier_ui | |
| mesh[24].descriptor_ui | D005260 |
| mesh[24].is_major_topic | False |
| mesh[24].qualifier_name | |
| mesh[24].descriptor_name | Female |
| mesh[25].qualifier_ui | |
| mesh[25].descriptor_ui | D062211 |
| mesh[25].is_major_topic | True |
| mesh[25].qualifier_name | |
| mesh[25].descriptor_name | Spatio-Temporal Analysis |
| mesh[26].qualifier_ui | |
| mesh[26].descriptor_ui | D008875 |
| mesh[26].is_major_topic | False |
| mesh[26].qualifier_name | |
| mesh[26].descriptor_name | Middle Aged |
| mesh[27].qualifier_ui | |
| mesh[27].descriptor_ui | D055815 |
| mesh[27].is_major_topic | False |
| mesh[27].qualifier_name | |
| mesh[27].descriptor_name | Young Adult |
| mesh[28].qualifier_ui | |
| mesh[28].descriptor_ui | D015994 |
| mesh[28].is_major_topic | False |
| mesh[28].qualifier_name | |
| mesh[28].descriptor_name | Incidence |
| mesh[29].qualifier_ui | |
| mesh[29].descriptor_ui | D000293 |
| mesh[29].is_major_topic | False |
| mesh[29].qualifier_name | |
| mesh[29].descriptor_name | Adolescent |
| mesh[30].qualifier_ui | |
| mesh[30].descriptor_ui | D002648 |
| mesh[30].is_major_topic | False |
| mesh[30].qualifier_name | |
| mesh[30].descriptor_name | Child |
| mesh[31].qualifier_ui | |
| mesh[31].descriptor_ui | D000368 |
| mesh[31].is_major_topic | False |
| mesh[31].qualifier_name | |
| mesh[31].descriptor_name | Aged |
| mesh[32].qualifier_ui | |
| mesh[32].descriptor_ui | D015995 |
| mesh[32].is_major_topic | False |
| mesh[32].qualifier_name | |
| mesh[32].descriptor_name | Prevalence |
| mesh[33].qualifier_ui | |
| mesh[33].descriptor_ui | D002675 |
| mesh[33].is_major_topic | False |
| mesh[33].qualifier_name | |
| mesh[33].descriptor_name | Child, Preschool |
| mesh[34].qualifier_ui | |
| mesh[34].descriptor_ui | D012621 |
| mesh[34].is_major_topic | False |
| mesh[34].qualifier_name | |
| mesh[34].descriptor_name | Seasons |
| mesh[35].qualifier_ui | |
| mesh[35].descriptor_ui | D016000 |
| mesh[35].is_major_topic | False |
| mesh[35].qualifier_name | |
| mesh[35].descriptor_name | Cluster Analysis |
| mesh[36].qualifier_ui | |
| mesh[36].descriptor_ui | D006801 |
| mesh[36].is_major_topic | False |
| mesh[36].qualifier_name | |
| mesh[36].descriptor_name | Humans |
| mesh[37].qualifier_ui | Q000453 |
| mesh[37].descriptor_ui | D002006 |
| mesh[37].is_major_topic | True |
| mesh[37].qualifier_name | epidemiology |
| mesh[37].descriptor_name | Brucellosis |
| mesh[38].qualifier_ui | Q000453 |
| mesh[38].descriptor_ui | D007492 |
| mesh[38].is_major_topic | False |
| mesh[38].qualifier_name | epidemiology |
| mesh[38].descriptor_name | Iran |
| mesh[39].qualifier_ui | |
| mesh[39].descriptor_ui | D000328 |
| mesh[39].is_major_topic | False |
| mesh[39].qualifier_name | |
| mesh[39].descriptor_name | Adult |
| mesh[40].qualifier_ui | |
| mesh[40].descriptor_ui | D008297 |
| mesh[40].is_major_topic | False |
| mesh[40].qualifier_name | |
| mesh[40].descriptor_name | Male |
| mesh[41].qualifier_ui | |
| mesh[41].descriptor_ui | D005260 |
| mesh[41].is_major_topic | False |
| mesh[41].qualifier_name | |
| mesh[41].descriptor_name | Female |
| mesh[42].qualifier_ui | |
| mesh[42].descriptor_ui | D003430 |
| mesh[42].is_major_topic | False |
| mesh[42].qualifier_name | |
| mesh[42].descriptor_name | Cross-Sectional Studies |
| mesh[43].qualifier_ui | |
| mesh[43].descriptor_ui | D062211 |
| mesh[43].is_major_topic | False |
| mesh[43].qualifier_name | |
| mesh[43].descriptor_name | Spatio-Temporal Analysis |
| mesh[44].qualifier_ui | |
| mesh[44].descriptor_ui | D008875 |
| mesh[44].is_major_topic | False |
| mesh[44].qualifier_name | |
| mesh[44].descriptor_name | Middle Aged |
| mesh[45].qualifier_ui | |
| mesh[45].descriptor_ui | D015994 |
| mesh[45].is_major_topic | False |
| mesh[45].qualifier_name | |
| mesh[45].descriptor_name | Incidence |
| mesh[46].qualifier_ui | |
| mesh[46].descriptor_ui | D055815 |
| mesh[46].is_major_topic | False |
| mesh[46].qualifier_name | |
| mesh[46].descriptor_name | Young Adult |
| mesh[47].qualifier_ui | |
| mesh[47].descriptor_ui | D000293 |
| mesh[47].is_major_topic | False |
| mesh[47].qualifier_name | |
| mesh[47].descriptor_name | Adolescent |
| mesh[48].qualifier_ui | |
| mesh[48].descriptor_ui | D002648 |
| mesh[48].is_major_topic | False |
| mesh[48].qualifier_name | |
| mesh[48].descriptor_name | Child |
| mesh[49].qualifier_ui | |
| mesh[49].descriptor_ui | D015995 |
| mesh[49].is_major_topic | False |
| mesh[49].qualifier_name | |
| mesh[49].descriptor_name | Prevalence |
| type | article |
| title | Spatio-temporal analysis of human brucellosis distribution in Neyshabur, Iran from 2015 to 2022, a cross-sectional study |
| biblio.issue | 2 |
| biblio.volume | 20 |
| biblio.last_page | e0318503 |
| biblio.first_page | e0318503 |
| grants[0].funder | https://openalex.org/F4320319238 |
| grants[0].award_id | |
| grants[0].funder_display_name | Neyshabur University of Medical Sciences |
| topics[0].id | https://openalex.org/T11899 |
| topics[0].field.id | https://openalex.org/fields/34 |
| topics[0].field.display_name | Veterinary |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3404 |
| topics[0].subfield.display_name | Small Animals |
| topics[0].display_name | Brucella: diagnosis, epidemiology, treatment |
| topics[1].id | https://openalex.org/T12951 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9846000075340271 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2713 |
| topics[1].subfield.display_name | Epidemiology |
| topics[1].display_name | Burkholderia infections and melioidosis |
| funders[0].id | https://openalex.org/F4320319238 |
| funders[0].ror | |
| funders[0].display_name | Neyshabur University of Medical Sciences |
| is_xpac | False |
| apc_list.value | 1805 |
| apc_list.currency | USD |
| apc_list.value_usd | 1805 |
| apc_paid.value | 1805 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1805 |
| concepts[0].id | https://openalex.org/C2781429187 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8317903876304626 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q156050 |
| concepts[0].display_name | Brucellosis |
| concepts[1].id | https://openalex.org/C61511704 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6702080965042114 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1671857 |
| concepts[1].display_name | Incidence (geometry) |
| concepts[2].id | https://openalex.org/C142052008 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5944935083389282 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q954027 |
| concepts[2].display_name | Cross-sectional study |
| concepts[3].id | https://openalex.org/C42972112 |
| concepts[3].level | 1 |
| concepts[3].score | 0.568597137928009 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q170201 |
| concepts[3].display_name | Veterinary medicine |
| concepts[4].id | https://openalex.org/C149923435 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5614315271377563 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q37732 |
| concepts[4].display_name | Demography |
| concepts[5].id | https://openalex.org/C205649164 |
| concepts[5].level | 0 |
| concepts[5].score | 0.4937346875667572 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[5].display_name | Geography |
| concepts[6].id | https://openalex.org/C138816342 |
| concepts[6].level | 2 |
| concepts[6].score | 0.47592002153396606 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q189603 |
| concepts[6].display_name | Public health |
| concepts[7].id | https://openalex.org/C107130276 |
| concepts[7].level | 2 |
| concepts[7].score | 0.47474128007888794 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q133805 |
| concepts[7].display_name | Epidemiology |
| concepts[8].id | https://openalex.org/C99454951 |
| concepts[8].level | 1 |
| concepts[8].score | 0.4729594588279724 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q932068 |
| concepts[8].display_name | Environmental health |
| concepts[9].id | https://openalex.org/C2908647359 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4719478487968445 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q2625603 |
| concepts[9].display_name | Population |
| concepts[10].id | https://openalex.org/C71924100 |
| concepts[10].level | 0 |
| concepts[10].score | 0.47017592191696167 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[10].display_name | Medicine |
| concepts[11].id | https://openalex.org/C22070199 |
| concepts[11].level | 2 |
| concepts[11].score | 0.4266442060470581 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q192995 |
| concepts[11].display_name | Vaccination |
| concepts[12].id | https://openalex.org/C112964050 |
| concepts[12].level | 2 |
| concepts[12].score | 0.4132063388824463 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q103459 |
| concepts[12].display_name | Livestock |
| concepts[13].id | https://openalex.org/C203014093 |
| concepts[13].level | 1 |
| concepts[13].score | 0.16624823212623596 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q101929 |
| concepts[13].display_name | Immunology |
| concepts[14].id | https://openalex.org/C142724271 |
| concepts[14].level | 1 |
| concepts[14].score | 0.10852625966072083 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q7208 |
| concepts[14].display_name | Pathology |
| concepts[15].id | https://openalex.org/C121332964 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[15].display_name | Physics |
| concepts[16].id | https://openalex.org/C120665830 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q14620 |
| concepts[16].display_name | Optics |
| concepts[17].id | https://openalex.org/C144024400 |
| concepts[17].level | 0 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q21201 |
| concepts[17].display_name | Sociology |
| concepts[18].id | https://openalex.org/C97137747 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q38112 |
| concepts[18].display_name | Forestry |
| keywords[0].id | https://openalex.org/keywords/brucellosis |
| keywords[0].score | 0.8317903876304626 |
| keywords[0].display_name | Brucellosis |
| keywords[1].id | https://openalex.org/keywords/incidence |
| keywords[1].score | 0.6702080965042114 |
| keywords[1].display_name | Incidence (geometry) |
| keywords[2].id | https://openalex.org/keywords/cross-sectional-study |
| keywords[2].score | 0.5944935083389282 |
| keywords[2].display_name | Cross-sectional study |
| keywords[3].id | https://openalex.org/keywords/veterinary-medicine |
| keywords[3].score | 0.568597137928009 |
| keywords[3].display_name | Veterinary medicine |
| keywords[4].id | https://openalex.org/keywords/demography |
| keywords[4].score | 0.5614315271377563 |
| keywords[4].display_name | Demography |
| keywords[5].id | https://openalex.org/keywords/geography |
| keywords[5].score | 0.4937346875667572 |
| keywords[5].display_name | Geography |
| keywords[6].id | https://openalex.org/keywords/public-health |
| keywords[6].score | 0.47592002153396606 |
| keywords[6].display_name | Public health |
| keywords[7].id | https://openalex.org/keywords/epidemiology |
| keywords[7].score | 0.47474128007888794 |
| keywords[7].display_name | Epidemiology |
| keywords[8].id | https://openalex.org/keywords/environmental-health |
| keywords[8].score | 0.4729594588279724 |
| keywords[8].display_name | Environmental health |
| keywords[9].id | https://openalex.org/keywords/population |
| keywords[9].score | 0.4719478487968445 |
| keywords[9].display_name | Population |
| keywords[10].id | https://openalex.org/keywords/medicine |
| keywords[10].score | 0.47017592191696167 |
| keywords[10].display_name | Medicine |
| keywords[11].id | https://openalex.org/keywords/vaccination |
| keywords[11].score | 0.4266442060470581 |
| keywords[11].display_name | Vaccination |
| keywords[12].id | https://openalex.org/keywords/livestock |
| keywords[12].score | 0.4132063388824463 |
| keywords[12].display_name | Livestock |
| keywords[13].id | https://openalex.org/keywords/immunology |
| keywords[13].score | 0.16624823212623596 |
| keywords[13].display_name | Immunology |
| keywords[14].id | https://openalex.org/keywords/pathology |
| keywords[14].score | 0.10852625966072083 |
| keywords[14].display_name | Pathology |
| language | en |
| locations[0].id | doi:10.1371/journal.pone.0318503 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S202381698 |
| locations[0].source.issn | 1932-6203 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1932-6203 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | PLoS ONE |
| locations[0].source.host_organization | https://openalex.org/P4310315706 |
| locations[0].source.host_organization_name | Public Library of Science |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310315706 |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | PLOS ONE |
| locations[0].landing_page_url | https://doi.org/10.1371/journal.pone.0318503 |
| locations[1].id | pmid:39965002 |
| 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 | PloS one |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/39965002 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:11835317 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| 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 | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | other-oa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/other-oa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | PLoS One |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11835317 |
| locations[3].id | pmh:oai:doaj.org/article:159036adaee54fe0bc24c3196fc32cda |
| locations[3].is_oa | False |
| locations[3].source.id | https://openalex.org/S4306401280 |
| 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 | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[3].source.host_organization | |
| locations[3].source.host_organization_name | |
| locations[3].source.host_organization_lineage | |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | PLoS ONE, Vol 20, Iss 2, p e0318503 (2025) |
| locations[3].landing_page_url | https://doaj.org/article/159036adaee54fe0bc24c3196fc32cda |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5116308865 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Ayoub Fathabadi |
| authorships[0].countries | IR |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I1312987727 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Health Information Technology, Faculty of Health and Paramedicine, Neyshabur University of Medical Sciences, Neyshabur, Iran |
| authorships[0].institutions[0].id | https://openalex.org/I1312987727 |
| authorships[0].institutions[0].ror | https://ror.org/01x41eb05 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I1312987727 |
| authorships[0].institutions[0].country_code | IR |
| authorships[0].institutions[0].display_name | University of Neyshabur |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ayoub Fathabadi |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Health Information Technology, Faculty of Health and Paramedicine, Neyshabur University of Medical Sciences, Neyshabur, Iran |
| authorships[1].author.id | https://openalex.org/A5026097317 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-0681-2670 |
| authorships[1].author.display_name | Fatemeh Khorashadizadeh |
| authorships[1].countries | IR |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I1312987727 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Epidemiology and Biostatistics, Neyshabur University of Medical Sciences, Neyshabur, Iran |
| authorships[1].institutions[0].id | https://openalex.org/I1312987727 |
| authorships[1].institutions[0].ror | https://ror.org/01x41eb05 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I1312987727 |
| authorships[1].institutions[0].country_code | IR |
| authorships[1].institutions[0].display_name | University of Neyshabur |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Fatemeh Khorashadizadeh |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | Department of Epidemiology and Biostatistics, Neyshabur University of Medical Sciences, Neyshabur, Iran |
| authorships[2].author.id | https://openalex.org/A5051437242 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Reza Darrudi |
| authorships[2].countries | IR |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I1312987727 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Health Information Technology, Faculty of Health and Paramedicine, Neyshabur University of Medical Sciences, Neyshabur, Iran |
| authorships[2].institutions[0].id | https://openalex.org/I1312987727 |
| authorships[2].institutions[0].ror | https://ror.org/01x41eb05 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I1312987727 |
| authorships[2].institutions[0].country_code | IR |
| authorships[2].institutions[0].display_name | University of Neyshabur |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Reza Darrudi |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | Department of Health Information Technology, Faculty of Health and Paramedicine, Neyshabur University of Medical Sciences, Neyshabur, Iran |
| authorships[3].author.id | https://openalex.org/A5032820548 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-4779-4250 |
| authorships[3].author.display_name | Mohammad Maroosi |
| authorships[3].countries | IR |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I1312987727 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Environmental Health Engineering, Faculty of Health and Paramedicine, Neyshabur University of Medical Sciences, Neyshabur, Iran |
| authorships[3].institutions[0].id | https://openalex.org/I1312987727 |
| authorships[3].institutions[0].ror | https://ror.org/01x41eb05 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I1312987727 |
| authorships[3].institutions[0].country_code | IR |
| authorships[3].institutions[0].display_name | University of Neyshabur |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Mohammad Maroosi |
| authorships[3].is_corresponding | True |
| authorships[3].raw_affiliation_strings | Department of Environmental Health Engineering, Faculty of Health and Paramedicine, Neyshabur University of Medical Sciences, Neyshabur, Iran |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1371/journal.pone.0318503 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Spatio-temporal analysis of human brucellosis distribution in Neyshabur, Iran from 2015 to 2022, a cross-sectional study |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11899 |
| primary_topic.field.id | https://openalex.org/fields/34 |
| primary_topic.field.display_name | Veterinary |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3404 |
| primary_topic.subfield.display_name | Small Animals |
| primary_topic.display_name | Brucella: diagnosis, epidemiology, treatment |
| related_works | https://openalex.org/W15526818, https://openalex.org/W4210774534, https://openalex.org/W3038934265, https://openalex.org/W2242755379, https://openalex.org/W2009772621, https://openalex.org/W2898765386, https://openalex.org/W4241528255, https://openalex.org/W4293081579, https://openalex.org/W2427793603, https://openalex.org/W2105020116 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1371/journal.pone.0318503 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S202381698 |
| best_oa_location.source.issn | 1932-6203 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1932-6203 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | PLoS ONE |
| best_oa_location.source.host_organization | https://openalex.org/P4310315706 |
| best_oa_location.source.host_organization_name | Public Library of Science |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310315706 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | PLOS ONE |
| best_oa_location.landing_page_url | https://doi.org/10.1371/journal.pone.0318503 |
| primary_location.id | doi:10.1371/journal.pone.0318503 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S202381698 |
| primary_location.source.issn | 1932-6203 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1932-6203 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | PLoS ONE |
| primary_location.source.host_organization | https://openalex.org/P4310315706 |
| primary_location.source.host_organization_name | Public Library of Science |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310315706 |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | PLOS ONE |
| primary_location.landing_page_url | https://doi.org/10.1371/journal.pone.0318503 |
| publication_date | 2025-02-18 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W23208488, https://openalex.org/W2096545317, https://openalex.org/W2809012494, https://openalex.org/W2905337655, https://openalex.org/W6694504577, https://openalex.org/W2623914908, https://openalex.org/W7046554713, https://openalex.org/W6629610044, https://openalex.org/W4210606455, https://openalex.org/W2980024908, https://openalex.org/W2032582002, https://openalex.org/W2782656592, https://openalex.org/W3161802366, https://openalex.org/W4375862787, https://openalex.org/W4313416403, https://openalex.org/W2028842625, https://openalex.org/W2014675358, https://openalex.org/W2905274413, https://openalex.org/W2994665650, https://openalex.org/W3202448666, https://openalex.org/W2946053969, https://openalex.org/W4200467431, https://openalex.org/W4404888212, https://openalex.org/W2267499337, https://openalex.org/W2942324564, https://openalex.org/W2109413829, https://openalex.org/W4388543012, https://openalex.org/W3197131163, https://openalex.org/W4211110431, https://openalex.org/W2118898434, https://openalex.org/W2942426262, https://openalex.org/W2614956915, https://openalex.org/W2991005948, https://openalex.org/W1531318071, https://openalex.org/W2998049772, https://openalex.org/W2770402697, https://openalex.org/W2996776289, https://openalex.org/W3108931992, https://openalex.org/W2767862947, https://openalex.org/W4313623149, https://openalex.org/W4393858471, https://openalex.org/W3055233559, https://openalex.org/W2584705594, https://openalex.org/W2298136139, https://openalex.org/W1496788487, https://openalex.org/W4404834813, https://openalex.org/W2275882367, https://openalex.org/W2013738518 |
| referenced_works_count | 48 |
| abstract_inverted_index.I | 67, 71, 166 |
| abstract_inverted_index.a | 4, 9, 88, 122, 150 |
| abstract_inverted_index.30 | 113 |
| abstract_inverted_index.as | 25, 27 |
| abstract_inverted_index.in | 44, 102, 135, 153, 177, 201, 211 |
| abstract_inverted_index.is | 3, 216 |
| abstract_inverted_index.of | 22, 90, 98, 108, 143, 159, 163, 172, 185, 191, 222 |
| abstract_inverted_index.on | 228 |
| abstract_inverted_index.to | 18, 49, 111, 114, 206, 218 |
| abstract_inverted_index.up | 205 |
| abstract_inverted_index.26. | 82 |
| abstract_inverted_index.The | 96, 106, 129, 161, 183 |
| abstract_inverted_index.age | 116 |
| abstract_inverted_index.and | 8, 30, 68, 127, 137, 141, 156, 196, 225 |
| abstract_inverted_index.for | 194 |
| abstract_inverted_index.its | 28, 226 |
| abstract_inverted_index.men | 103 |
| abstract_inverted_index.not | 175 |
| abstract_inverted_index.the | 20, 38, 55, 85, 112, 154, 170, 189, 202, 207, 220 |
| abstract_inverted_index.was | 61, 100, 174 |
| abstract_inverted_index.> | 180 |
| abstract_inverted_index.2015 | 48 |
| abstract_inverted_index.4568 | 91 |
| abstract_inverted_index.Data | 51 |
| abstract_inverted_index.Iran | 46 |
| abstract_inverted_index.SPSS | 81 |
| abstract_inverted_index.This | 14, 34 |
| abstract_inverted_index.aims | 17 |
| abstract_inverted_index.from | 47, 54 |
| abstract_inverted_index.peak | 123, 208 |
| abstract_inverted_index.that | 169 |
| abstract_inverted_index.this | 186 |
| abstract_inverted_index.well | 26 |
| abstract_inverted_index.were | 52, 78, 94, 133 |
| abstract_inverted_index.with | 41, 72, 104, 139 |
| abstract_inverted_index.2022. | 50 |
| abstract_inverted_index.Human | 1 |
| abstract_inverted_index.June. | 128 |
| abstract_inverted_index.Local | 65 |
| abstract_inverted_index.March | 126 |
| abstract_inverted_index.human | 23, 42, 229 |
| abstract_inverted_index.rates | 132 |
| abstract_inverted_index.study | 16, 36, 86, 187 |
| abstract_inverted_index.total | 89 |
| abstract_inverted_index.using | 63, 80 |
| abstract_inverted_index.0.05). | 181 |
| abstract_inverted_index.33.84% | 142 |
| abstract_inverted_index.34.76% | 140 |
| abstract_inverted_index.ArcGIS | 73 |
| abstract_inverted_index.During | 84 |
| abstract_inverted_index.Global | 69, 164 |
| abstract_inverted_index.animal | 197 |
| abstract_inverted_index.areas. | 213 |
| abstract_inverted_index.assess | 219 |
| abstract_inverted_index.cases, | 144 |
| abstract_inverted_index.global | 5 |
| abstract_inverted_index.group. | 117 |
| abstract_inverted_index.health | 12, 57 |
| abstract_inverted_index.higher | 101, 151 |
| abstract_inverted_index.impact | 227 |
| abstract_inverted_index.months | 203 |
| abstract_inverted_index.needed | 217 |
| abstract_inverted_index.public | 11 |
| abstract_inverted_index.rates. | 231 |
| abstract_inverted_index.season | 210 |
| abstract_inverted_index.spring | 136 |
| abstract_inverted_index.10.8.2. | 74 |
| abstract_inverted_index.55.37%. | 105 |
| abstract_inverted_index.Anselin | 64 |
| abstract_inverted_index.Further | 214 |
| abstract_inverted_index.Methods | 33 |
| abstract_inverted_index.Results | 83 |
| abstract_inverted_index.Spatial | 59, 146 |
| abstract_inverted_index.between | 125 |
| abstract_inverted_index.center. | 58 |
| abstract_inverted_index.disease | 7, 99 |
| abstract_inverted_index.endemic | 6 |
| abstract_inverted_index.explore | 19 |
| abstract_inverted_index.highest | 130 |
| abstract_inverted_index.leading | 204 |
| abstract_inverted_index.mothers | 195 |
| abstract_inverted_index.period, | 87 |
| abstract_inverted_index.results | 162 |
| abstract_inverted_index.spatial | 29 |
| abstract_inverted_index.summer, | 138 |
| abstract_inverted_index.(P-value | 179 |
| abstract_inverted_index.Temporal | 118 |
| abstract_inverted_index.analyses | 77 |
| abstract_inverted_index.analysis | 60, 120, 148, 167 |
| abstract_inverted_index.analyzed | 37 |
| abstract_inverted_index.belonged | 110 |
| abstract_inverted_index.concern. | 13 |
| abstract_inverted_index.coverage | 221 |
| abstract_inverted_index.findings | 184 |
| abstract_inverted_index.infected | 40 |
| abstract_inverted_index.majority | 107 |
| abstract_inverted_index.observed | 134 |
| abstract_inverted_index.obtained | 53 |
| abstract_inverted_index.patients | 93, 109 |
| abstract_inverted_index.programs | 193 |
| abstract_inverted_index.research | 215 |
| abstract_inverted_index.revealed | 121 |
| abstract_inverted_index.southern | 155 |
| abstract_inverted_index.temporal | 31 |
| abstract_inverted_index.Moran’s | 66, 70, 165 |
| abstract_inverted_index.Neyshabur | 56, 178 |
| abstract_inverted_index.clustered | 176 |
| abstract_inverted_index.conducted | 62 |
| abstract_inverted_index.districts | 158 |
| abstract_inverted_index.highlight | 188 |
| abstract_inverted_index.incidence | 97, 124, 131 |
| abstract_inverted_index.indicated | 149, 168 |
| abstract_inverted_index.livestock | 223 |
| abstract_inverted_index.performed | 79 |
| abstract_inverted_index.reported. | 95 |
| abstract_inverted_index.southeast | 157 |
| abstract_inverted_index.Background | 0 |
| abstract_inverted_index.Conclusion | 182 |
| abstract_inverted_index.Neyshabur, | 45 |
| abstract_inverted_index.Neyshabur. | 160 |
| abstract_inverted_index.clustering | 119, 147 |
| abstract_inverted_index.importance | 190 |
| abstract_inverted_index.population | 39 |
| abstract_inverted_index.prevalence | 152 |
| abstract_inverted_index.39-year-old | 115 |
| abstract_inverted_index.Descriptive | 75 |
| abstract_inverted_index.brucellosis | 2, 43, 92, 173, 209, 230 |
| abstract_inverted_index.clustering. | 32 |
| abstract_inverted_index.educational | 192 |
| abstract_inverted_index.significant | 10 |
| abstract_inverted_index.statistical | 76 |
| abstract_inverted_index.strategies, | 199 |
| abstract_inverted_index.vaccination | 198, 224 |
| abstract_inverted_index.brucellosis, | 24 |
| abstract_inverted_index.distribution | 171 |
| abstract_inverted_index.particularly | 200 |
| abstract_inverted_index.respectively. | 145 |
| abstract_inverted_index.high-incidence | 212 |
| abstract_inverted_index.characteristics | 21 |
| abstract_inverted_index.cross-sectional | 15, 35 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5032820548, https://openalex.org/A5051437242, https://openalex.org/A5116308865, https://openalex.org/A5026097317 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I1312987727 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7900000214576721 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.87569731 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |