Improving Disease Prevention Strategies by Integrating Socio-spatial Characterization of Human Mobility

Arbovirus Infections, Behavior, Health, Dengue, Epidemic Disease

human mobility, transmission modelling, socio-spatial characterization

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.

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: 1. Mobility survey: The conduct of a mobility survey with adults. The purpose of this survey is to gather prospective information regarding recurrent mobility, and retrospective information about seasonal mobility. Study subjects include adults, elderly, and indirectly, young children through the specific inclusion of young mothers. 2. Student survey: Questionnaire about mobility of a sample of students in pre-university and university on recurrent and seasonal mobility. 3. School registers: Consultation of school registers to capture information on school-related recurrent mobility of children of school-going age. 4. Vacation stories: Within a two-weeks time after the holidays, teachers are always doing a 'vacation story exercise' within their class. We will ask the teachers of selected classes in the sentinel schools to group this information on the number of children travelling outside the Cienfuegos municipality during holidays (seasonal mobility). 5. Workplace register: Consultation of workplace registers to capture information on work-related recurrent mobility of adults. 6. Call Detail Records: Anonymized and grouped information about house-work/school locations of cell phone users obtained from cell phone company (recurrent movement). 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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