Instituto de Medicina Tropical Pedro Kouri
Havana, La Habana, Cuba
NCT Number: NCT06599970
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.
This study is active but is not currently recruiting participants.
19 year–75 year
All sexes
Observational
Havana, La Habana, Cuba
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
For the prospective data collection - mobility survey:
Inclusion criteria
Exclusion criteria
This is an observational study. No experimental interventions included. The mobility of people will be studied.
Time frame: 2012-2025
multilevel spatio-temporal characterization of dengue transmission dynamics, focussing on transmission propagation heterogeneity in time and space
Time frame: 2024-2026
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
Time frame: 2012-2025
entomological indicators (monthly data collection of immature stages 2012-2025; monthly surveys of adult stages Aedes mosquitoes 2024-2025)
Time frame: 2012-2026
temperature (° degrees celsius, daily minimum, daily maximum, weekly average) and rainfall (mm/day)
Time frame: 2024-2026
Stochastic mobility-driven spatially explicit DENV model based on the two primary outcomes of this study
Time frame: 2024-2026
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)
Institute of Tropical Medicine, Belgium
Other
Improving Disease Prevention Strategies of Epidemic Spread by Integrating Socio-spatial Characterization of Human Mobility, Environmental Typology and Mathematical Modelling in an Urban System of Cuba
Acronym: DI-MOB
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT07543458
Arbovirus Infections, Dengue
Chittagong, Bangladesh
View Trial DetailsNCT06268691
Alphavirus Infections, Arbovirus Infections
Cúcuta, Norte de Santander Department, Colombia
View Trial DetailsNCT07501793
Arbovirus Infections, Dengue
Ho Chi Minh City, Ho Chi Minh, Vietnam
View Trial DetailsNCT05611710
Anakinra, Anti-Inflammatory Agents
Ho Chi Minh City, Vietnam
View Trial Details