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Extraordinary times require extraordinary measures. The current COVID-19 pandemic is the paradigmatic example of how infectious diseases may menace the world's health and economy, and particularly contribute to enhancing current inequities in health-related to wealth. The main goal of the proposed study is to understand the epidemiology and natural history of COVID-19 in a rural area in Southern Mozambique
Full description
Although Mozambique has so far had few confirmed cases of COVID19, it is unknown if low testing rates and other factors such as the warm climatic conditions may explain the apparently low spread of the virus. The present proposal aims to rapidly gain an understanding of the epidemic curve and natural history of SARS-CoV-2 in a rural area in southern Mozambique through a series of epidemiological indicators obtained at both the health facility and community levels, so as to provide evidence-based recommendations for managing and mitigating the COVID19 epidemic. Age-specific incidence of severe COVID-19 obtained at health facilities during a period of 15 months together with seroprevalence data obtained from the community will be used to determine SARS-CoV-2 reproduction number and effects of interventions through mathematical modeling. Viral, serological, and clinical progression will be assessed in a longitudinal cohort of symptomatic SARS-CoV-2 infected individuals. Community awareness of COVID-19 and of project aims will be fostered through engagement activities among community leaders and members. COVID-19 surveillance capacities in Mozambique will be strengthened by developing SARS-CoV-2 diagnostic approaches (molecular testing and an innovative immunoassay to detect antibodies against the virus), as well as SARS-CoV-2 genome sequencing approaches to identify transmission chains. Finally, the project will pursue the creation of a bank of serum, virus materials, and data which will be open for immediate public health purposes, including the development of point-of-care diagnostic tests. This project will be coordinated by the Manhiça Health Research Centre (Mozambique) in conjunction with the Barcelona Institute for Global Health (Spain), which will lead the transfer of molecular and immunological tools to the Mozambican research center. Imperial College will provide the modeling expertise to derive metrics of transmission, and INS the expertise to conduct quality control of laboratory determinations as well as dissemination and networking with the Ministry of Health in Mozambique. Four WPs will comprise the main research tasks, including COVID-19 surveillance (WP1), Laboratory determinations (WP2), Contact tracing and community awareness (WP3), Modelling (WP4), as well as two cross-cutting WPs related to Capacity-building (WP5) and Scientific coordination, management, networking & dissemination (WP6). We expect this 21-month project will increase the level of preparedness, alertness, and response in Mozambique
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Inclusion and exclusion criteria
Inclusion Criteria The study has five components and therefore the inclusion criteria may vary from one component to another.
COVID-19 morbidity surveillance
COVID-19 mortality surveillance • All deaths in children under the age of 5 (including stillbirths), occurring at the health facility or at the community; • In hospital adult deaths occurring at the MDH;
• Resident of Manhiça DSS area;
• Written informed consent from the relative of the dead person.
COVID-19 population-based serosurveys • Individuals of all age groups residing in Manhiça DSS surveillance area • Signed informed parental permission from a parent or guardian if a child and from participant if an adult.
Natural history of SARS-CoV-2 infection
• Participants who fulfill eligibility criteria for activity a) and with laboratory-confirmed SARS-CoV-2 infection.
Clinical presentation and factors associated with SARS-CoV-2 • Participants who fulfill eligibility criteria for activities a) and c).
Exclusion Criteria
• Participation in an interventional clinical trial at the time of enrollment.
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Central trial contact
Inácio Mandomando, PhD; Áuria de Jesus, MD
Data sourced from clinicaltrials.gov
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