دورية أكاديمية
Identifying hidden Zika hotspots in Pernambuco, Brazil: a spatial analysis.
| العنوان: | Identifying hidden Zika hotspots in Pernambuco, Brazil: a spatial analysis. |
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| المؤلفون: | Freitas LP; Population Research Center, University of Texas at Austin, Austin, Texas 78712-1699, USA., Lowe R; Department of Earth Sciences, Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain.; Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain.; Centre on Climate Change & Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK., Koepp AE; Population Research Center, University of Texas at Austin, Austin, Texas 78712-1699, USA.; Department of Human Development and Family Sciences, University of Texas at Austin, Austin, Texas 78712, USA., Alves SV; Post-graduation Program of Public Health, Centro de Ciências Médicas, Universidade Federal de Pernambuco, Recife, Pernambuco 50670-901, Brazil., Dondero M; Department of Sociology, American University, Washington, D.C. 20016-8072, USA., Marteleto LJ; Population Research Center, University of Texas at Austin, Austin, Texas 78712-1699, USA.; Department of Sociology, University of Texas at Austin, Austin, Texas 78712, USA. |
| المصدر: | Transactions of the Royal Society of Tropical Medicine and Hygiene [Trans R Soc Trop Med Hyg] 2023 Mar 01; Vol. 117 (3), pp. 189-196. |
| نوع المنشور: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Oxford University Press Country of Publication: England NLM ID: 7506129 Publication Model: Print Cited Medium: Internet ISSN: 1878-3503 (Electronic) Linking ISSN: 00359203 NLM ISO Abbreviation: Trans R Soc Trop Med Hyg Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: 2013- : Oxford : Oxford University Press Original Publication: 1920- : London : Royal Society of Tropical Medicine and Hygiene |
| مواضيع طبية MeSH: | Microcephaly*/epidemiology , Zika Virus Infection*/epidemiology , Zika Virus* , Aedes*, Animals ; Humans ; Brazil/epidemiology ; Spatial Analysis |
| مستخلص: | Background: Northeast Brazil has the world's highest rate of Zika-related microcephaly. However, Zika case counts cannot accurately describe burden because mandatory reporting was only established when the epidemic was declining in the region. Methods: To advance the study of the Zika epidemic, we identified hotspots of Zika in Pernambuco state, Northeast Brazil, using Aedes-borne diseases (dengue, chikungunya and Zika) and microcephaly data. We used Kulldorff's Poisson purely spatial scan statistic to detect low- and high-risk clusters for Aedes-borne diseases (2014-2017) and for microcephaly (2015-2017), separately. Municipalities were classified according to a proposed gradient of Zika burden during the epidemic, based on the combination of cluster status in each analysis and considering the strength of the evidence. Results: We identified 26 Aedes-borne diseases clusters (11 high-risk) and 5 microcephaly clusters (3 high-risk) in Pernambuco. According to the proposed Zika burden gradient, our results indicate that the northeast of Pernambuco and the Sertão region were hit hardest by the Zika epidemic. The first is the most populous area of Pernambuco, while the second has one of the highest rates of social and economic inequality in Brazil. Conclusion: We successfully identified possible hidden Zika hotspots using a simple methodology combining Aedes-borne diseases and microcephaly information. (© The Author(s) 2022. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.) |
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| معلومات مُعتمدة: | P2C HD042849 United States HD NICHD NIH HHS; R01 HD091257 United States HD NICHD NIH HHS |
| فهرسة مساهمة: | Keywords: Zika; dengue; epidemiology; microcephaly; scan statistics; spatial analysis |
| تواريخ الأحداث: | Date Created: 20221103 Date Completed: 20230303 Latest Revision: 20231104 |
| رمز التحديث: | 20231104 |
| مُعرف محوري في PubMed: | PMC9977212 |
| DOI: | 10.1093/trstmh/trac099 |
| PMID: | 36326785 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1878-3503 |
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| DOI: | 10.1093/trstmh/trac099 |