Identifying hidden Zika hotspots in Pernambuco, Brazil: a spatial analysis

Author:

Freitas Laís Picinini1ORCID,Lowe Rachel234,Koepp Andrew E15,Alves Sandra Valongueiro6,Dondero Molly7,Marteleto Letícia J18

Affiliation:

1. Population Research Center, University of Texas at Austin , Austin, Texas 78712-1699 , USA

2. Department of Earth Sciences, Barcelona Supercomputing Center (BSC) , Barcelona 08034 , Spain

3. Catalan Institution for Research and Advanced Studies (ICREA) , Barcelona , Spain

4. Centre on Climate Change & Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine , London WC1E 7HT , UK

5. Department of Human Development and Family Sciences, University of Texas at Austin , Austin, Texas 78712 , USA

6. Post-graduation Program of Public Health, Centro de Ciências Médicas, Universidade Federal de Pernambuco , Recife, Pernambuco 50670-901 , Brazil

7. Department of Sociology, American University , Washington , D.C. 20016-8072, USA

8. Department of Sociology, University of Texas at Austin , Austin, Texas 78712 , USA

Abstract

AbstractBackgroundNortheast 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.MethodsTo 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.ResultsWe 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.ConclusionWe successfully identified possible hidden Zika hotspots using a simple methodology combining Aedes-borne diseases and microcephaly information.

Funder

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Columbia Population Research Center

University of Texas at Austin

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Medicine,Parasitology

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