Identifying urban hotspots of dengue, chikungunya, and Zika transmission in Mexico to support risk stratification efforts: a spatial analysis
| Autor: | Gustavo Sánchez-Tejeda, Haroldo Bezerra, Azael Che-Mendoza, Norma Pavía-Ruz, Héctor Gómez-Dantés, Pablo Manrique-Saide, Audrey Lenhart, Jesús Felipe González-Roldán, Fabián Correa-Morales, Hugo López-Gatell, Giovanini E. Coelho, Gonzalo M. Vazquez-Prokopec, Jorge Palacio-Vargas, Felipe Dzul-Manzanilla, Adriana E. Flores-Suarez |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Canada
Health (social science) Population Medicine (miscellaneous) Distribution (economics) Disease Aedes aegypti Mosquito Vectors 010501 environmental sciences medicine.disease_cause 01 natural sciences Arbovirus Risk Assessment Dengue fever Dengue 03 medical and health sciences 0302 clinical medicine Aedes Environmental health medicine Animals Humans GE1-350 030212 general & internal medicine Chikungunya education Mexico 0105 earth and related environmental sciences education.field_of_study Spatial Analysis biology Transmission (medicine) business.industry Diagnostic Tests Routine Zika Virus Infection Health Policy Public Health Environmental and Occupational Health Articles Zika Virus medicine.disease biology.organism_classification Environmental sciences Geography Disease Hotspot Chikungunya Fever business |
| Zdroj: | The Lancet Planetary Health, Vol 5, Iss 5, Pp e277-e285 (2021) The Lancet. Planetary Health |
| ISSN: | 2542-5196 |
| Popis: | Summary Background Effective Aedes aegypti control is limited, in part, by the difficulty in achieving sufficient intervention coverage. To maximise the effect of vector control, areas with persistently high numbers of Aedes-borne disease cases could be identified and prioritised for preventive interventions. We aimed to identify persistent Aedes-borne disease hotspots in cities across southern Mexico. Methods In this spatial analysis, geocoded cases of dengue, chikungunya, and Zika from nine endemic Mexican cities were aggregated at the census-tract level. We included cities that were located in southern Mexico (the arbovirus endemic region of Mexico), with a high burden of dengue cases (ie, more than 5000 cases reported during a 10-year period), and listed as high priority for the Mexican dengue control and prevention programme. The Getis-Ord Gi*(d) statistic was applied to yearly slices of the dataset to identify spatial hotspots of each disease in each city. We used Kendall's W coefficient to quantify the agreement in the distribution of each virus. Findings 128 507 dengue, 4752 chikungunya and 25 755 Zika clinical cases were reported between Jan 1, 2008, and Dec 31, 2016. All cities showed evidence of transmission heterogeneity, with a mean of 17·6% (SD 4·7) of their total area identified as persistent disease hotspots. Hotspots accounted for 25·6% (SD 9·7; range 12·8–43·0) of the population and 32·1% (10·5; 19·6–50·5) of all Aedes-borne disease cases reported. We found an overlap between hotspots of 61·7% for dengue and Zika and 53·3% for dengue and chikungunya. Dengue hotspots in 2008–16 were significantly associated with dengue hotspots detected during 2017–20 in five of the nine cities. Heads of vector control confirmed hotspot areas as problem zones for arbovirus transmission. Interpretation This study provides evidence of the overlap of Aedes-borne diseases within geographical hotspots and a methodological framework for the stratification of arbovirus transmission risk within urban areas, which can guide the implementation of surveillance and vector control. Funding USAID, the US Centers for Disease Control and Prevention, the Canadian Institutes of Health Research, International Development Research Centre, Fondo Mixto CONACyT (Mexico)-Gobierno del Estado de Yucatan, and the US National Institutes of Health. Translation For the Spanish translation of the abstract see Supplementary Materials section. |
| Databáze: | OpenAIRE |
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