Incidence trend analysis of human brucellosis in the context of human development: an ecological study using joinpoint regression in Iran Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1186/s12889-025-25304-5
Background Human brucellosis (HB) remains a significant public health concern in Iran, where its burden may be shaped by socio-developmental factors. This ecological time trend analysis explores long-term patterns in HB incidence in the context of human development. Methods We conducted Joinpoint regression analysis to assess temporal trends in HB incidence from 2000 to 2023 in Iran. The Human Development Index (HDI) was included as a predictor to examine associations using Spearman correlation and linear regression on log-transformed HDI. Residual diagnostics and robust regression techniques were applied. Results The overall annual percentage change (AAPC) in HB incidence showed a slight but statistically significant upward trend (+ 0.45%; p = 0.023). Joinpoint regression identified four statistically significant changes in trend. A moderate negative correlation was observed between HB incidence and HDI (Spearman’s ρ = − 0.54). Linear regression indicated an inverse association between log(HDI) and HB incidence (β = − 65.96, p = 0.044), though the explained variance was limited (R² = 0.226). Conclusion The findings suggest that higher levels of human development may be associated with reduced HB incidence at the national level. However, this association is likely influenced by unmeasured factors such as access to veterinary care, cultural practices, and surveillance quality. Caution is warranted in interpreting these findings due to the ecological study design and potential underreporting.
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s12889-025-25304-5
- https://bmcpublichealth.biomedcentral.com/counter/pdf/10.1186/s12889-025-25304-5
- OA Status
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- References
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- OpenAlex ID
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Incidence trend analysis of human brucellosis in the context of human development: an ecological study using joinpoint regression in IranWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-11-17Full publication date if available
- Authors
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Marziyeh Hamyali Ainvand, Mohammad EbrahimiList of authors in order
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https://doi.org/10.1186/s12889-025-25304-5Publisher landing page
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goldOpen access status per OpenAlex
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Ecological study, Incidence (geometry), Trend analysis, Context (archaeology), Medicine, Biostatistics, Regression analysis, Public health, Demography, Linear regression, Environmental health, Epidemiology, Human Development Index, Regression, Poisson regression, Bayesian multivariate linear regression, Brucellosis, Correlation, General linear model, Veterinary medicine, Analysis of variance, Linear model, Explained variation, Spearman's rank correlation coefficientTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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31Number of works referenced by this work
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| referenced_works | https://openalex.org/W2782656592, https://openalex.org/W4211033510, https://openalex.org/W2109293528, https://openalex.org/W4400050979, https://openalex.org/W4315488240, https://openalex.org/W3027296512, https://openalex.org/W4404516696, https://openalex.org/W2462924818, https://openalex.org/W2129099036, https://openalex.org/W4308754019, https://openalex.org/W2959128231, https://openalex.org/W4291464514, https://openalex.org/W2789244426, https://openalex.org/W4307930440, https://openalex.org/W4205390123, https://openalex.org/W3140886940, https://openalex.org/W4385759346, https://openalex.org/W4394693157, https://openalex.org/W2101526816, https://openalex.org/W2004850102, https://openalex.org/W2106671991, https://openalex.org/W3084217948, https://openalex.org/W3174905896, https://openalex.org/W4210606455, https://openalex.org/W3024379881, https://openalex.org/W4285339545, https://openalex.org/W2149438473, https://openalex.org/W3036361966, https://openalex.org/W2988754159, https://openalex.org/W3131809717, https://openalex.org/W1967279532 |
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