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In contrast to the trend expected based on existing prediction models, dengue incidence was historically low during the pandemic mobility restrictions of 2020-2021 in most dengue endemic countries. This highlights that current transmission models do not correctly take human mobility into account. Within a pilot-study in Cienfuegos, South-Central Cuba, we will characterise the epidemiological spread and distribution of dengue outbreaks (2012-2025) in districts repeatedly involved in previous dengue outbreaks as initiating, case-concentrating or transmission sustaining areas. This will be linked with fine-grained mobility data and socio-spatial characterizations of commuting flows and population hubs where people are concentrated during day-time (time when transmission happens). This information, together with entomological and environmental risk-data, will be used to i) improve the accuracy of mathematical dengue models, ii) better understand the transmission process and iii) inform and improve the design of disease control strategies. The project will contribute to much-needed evidence-based guidance for public health actors on improved prevention strategies of epidemics dispersion and where and when to implement control measures.
Full description
Using epidemiological data and human mobility data, integrated with other multiple-sourced data, this study examines the interplay between disease spread and intra-city mobility (within a city).
The study is ambi-spective, using retro- and prospective routine surveillance data (2012-2025) on dengue cases and Aedes entomological data, to describe the fine-scale spatio-temporal characterization of dengue transmission in Cienfuegos municipality.
To characterise human mobility within the municipality of Cienfuegos, information related to recurrent and seasonal movements will be collected. Several types of data will be triangulated to obtain a comprehensive understanding of the population's mobility (matrix of human mobility). In this way, six prospective data collection activities are planned:
In a third step, the above information will be brought into a mathematical model, explaining mobility within transmission dynamics, which will be validated in a prospective way allowing to identify shortcomings and adjust the model where needed.
In a last step, the various types of collected data will be assembled and discussed together for the elaboration of potential dengue (and integrated) control strategies and presented for validation with local stakeholders.
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For the prospective data collection - mobility survey:
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Central trial contact
Veerle Vanlerberghe
Data sourced from clinicaltrials.gov
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