Descripción del proyecto
Control genómico de la fiebre tifoidea
Cada año se producen millones de casos de fiebre tifoidea en el mundo. El tratamiento con antimicrobianos es la única opción de tratamiento, por lo que es necesario contener la farmacorresistencia emergente y evitar su propagación a otros países vecinos. Con este fin, el proyecto TyphiNET, financiado con fondos europeos, empleará un método de epidemiología genómica para ayudar a las zonas centinela y endémicas en el control de la «Salmonella typhi». El objetivo es obtener información sobre la prevalencia de cepas específicas, resistencia a los antimicrobianos y patrones de transmisión regionales. TyphiNET compartirá estos datos a través de una plataforma de acceso libre a disposición del público, mejorando la gestión de la enfermedad y guiando la elección de los antimicrobianos.
Objetivo
Globally there are ~20 million typhoid fever cases per year, resulting in ~200,000 deaths from infection with the causative agent, Salmonella Typhi. Antimicrobial therapy is the mainstay of typhoid fever control, and genomic epidemiology studies have revealed that drug resistance emerging in one country can rapidly spread to other neighbouring countries and intercontinentally. Genomic and phenotypic surveillance for typhoid and antimicrobial resistance (AMR) is therefore very important for disease control. TyphiNET aims to develop innovative approaches to bring the benefits of typhoid genomic surveillance to LMICs where the disease is endemic through three main goals: (1) to unlock data from travel-associated typhoid cases in high income countries that are adopting genomics for routine Salmonella surveillance (2) to unlock data from project-based genomic surveillance in endemic areas (beginning with five key collaborative projects across Asia and Africa) and (3) develop an open access publicly available platform for synergising, visualising, and disseminating large scale genomic data sourced from sentinel and endemic area surveillance. Research questions will include inferring genomic epidemiology parameters (prevalence of strain types, resistance to specific antimicrobials, and regional transmission patterns) for different countries/regions using data from sentinel surveillance and from endemic area surveillance; comparison of these to demonstrate the utility of sentinel traveller surveillance for predicting endemic area disease patterns; and comparison of disease dynamics between regions. Outcomes will inform management of both endemic disease in LMICs and travel-associated cases elsewhere, including providing region- and country-specific data to inform empirical antimicrobial choice; and will reveal coverage gaps in endemic area surveillance to be targeted in future studies.
Ámbito científico
Programa(s)
Régimen de financiación
MSCA-IF-EF-ST - Standard EFCoordinador
WC1E 7HT London
Reino Unido