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| Name | Class |
|---|---|
| Cienfuegos Provincial Ministry of Health, Cuba | UNKNOWN |
| University Ghent | OTHER |
| Institute Pedro Kouri, Ministry of Public Health (Cuba) | UNKNOWN |
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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.
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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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No intervention | Other | This is an observational study. No experimental interventions included. The mobility of people will be studied. |
| Measure | Description | Time Frame |
|---|---|---|
| dengue incidence | multilevel spatio-temporal characterization of dengue transmission dynamics, focussing on transmission propagation heterogeneity in time and space | 2012-2025 |
| human mobility | origen-destination matrices will be built, based on information collected in mobility survey, school and workplace registries, vacation stories, phone data, student survey and in-depth interviews | 2024-2026 |
| Measure | Description | Time Frame |
|---|---|---|
| entomological risks for dengue transmission | entomological indicators (monthly data collection of immature stages 2012-2025; monthly surveys of adult stages Aedes mosquitoes 2024-2025) | 2012-2025 |
| climate |
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For the prospective data collection - mobility survey:
Inclusion Criteria:
Exclusion Criteria:
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Research will take place in Cienfuegos municipality, Cuba, with a population of 178 776 inhabitants. For the epidemiological and entomological data, routine surveillance info will be used, which covers the entire municipality.
For mobility patterns characterisation, for example the mobility survey: we selected (based on epidemiological patterns) 5 sentinel Popular Councils. Within each, 4 consultorios and their area of coverage were selected. In the consultorium exists a health registry, a list of all persons in the consultorium catchment area. Participants will be selected from the health registry by a random process using the RANDBETWEEN function in Microsoft Excel, within a range of 1 to upper limit equal to the total number of patients in the registry.
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| Name | Affiliation | Role |
|---|---|---|
| Veerle Vanlerberghe | Institute of Tropical Medicine | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Instituto de Medicina Tropical Pedro Kouri | Havana | La Habana | Cuba |
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| ID | Term |
|---|---|
| D003715 | Dengue |
| D001102 | Arbovirus Infections |
| D015438 | Health Behavior |
| ID | Term |
|---|---|
| D000096724 | Mosquito-Borne Diseases |
| D000079426 | Vector Borne Diseases |
| D007239 | Infections |
| D014777 | Virus Diseases |
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temperature (° degrees celsius, daily minimum, daily maximum, weekly average) and rainfall (mm/day)
| 2012-2026 |
| Mathematical transmission model | Stochastic mobility-driven spatially explicit DENV model based on the two primary outcomes of this study | 2024-2026 |
| socio-spatial characterisation of public spaces | hourly population densities (number of persons present for more than 5 minutes present) in different rooms/areas of densely frequented public spaces (schools, markets, factories) | 2024-2026 |
| D018177 |
| Flavivirus Infections |
| D018178 | Flaviviridae Infections |
| D012327 | RNA Virus Infections |
| D006482 | Hemorrhagic Fevers, Viral |
| D001519 | Behavior |