Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

2 clinical studies listed.

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Epidemic Disease

Tundra lists 2 Epidemic Disease clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

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ACTIVE NOT RECRUITING

NCT06739499

Bern, Get Ready (BEready) Cohort Study for Pandemic Preparedness

The BEready project aims to find out how people in the Canton of Bern can be helped to be more prepared for the next pandemic. BEready wants to understand how infections spread among people as well as between people and animals. BEready wants to find out how social and environmental factors can influence the transmission or catching of infectious diseases. BEready wants to better understand how households and their pets in the Canton of Bern were and continue to be affected by the coronavirus disease 2019 (COVID-19).

Gender: All

Updated: 2026-02-05

Pandemic, COVID-19
Infections
Zoonoses
+2
RECRUITING

NCT06599970

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

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.

Gender: All

Ages: 19 Years - 75 Years

Updated: 2024-09-19

1 state

Dengue
Arbovirus Infections
Epidemic Disease
+1