Collecte urgente de données quantitatives et qualitatives sur le COVID-19 au Ghana et au Togo - appui à la riposte à la pandémie

This project focuses on pandemic response and preparedness for future epidemics. It collects primary community data on relevant symptoms of COVID-19, and surveys on public knowledge and behaviour regarding respiratory infectious diseases, hand hygiene and social distancing in Ghana.

The results will be disseminated in real time to policy makers in Ghana and Togo to support rapid national decision-making. The methods and aggregated results will be freely available for review by other countries. Ethical approval will be sought from the University of Southhampton and the Ghana Health Service.


Mission Name

Collecte urgente de données quantitatives et qualitatives sur le COVID-19 au Ghana et au Togo - appui à la riposte à la pandémie

Country

Togo

Duration of the assignment (months)

6 mois

Name of the Contracting Authority

University of Southampton, UK 

Contact: Michael G. Head (PhD), Email: m.head@soton.ac.uk

Total number of staff/months involved in the Mission

20

Address

University of Southampton, University Road, Southampton SO17 1BJ, UK

Start date

June 2020

Name of any associated consultants/partners

PACKS Africa (Ghana) Ghana Health Service (GHS) Opine World (Ghana based mobile phone data collection platform) Head of School of Public Health, University of Lomé, Togo

Name of the professional staff of your company employed and functions performed

Hervé Akinocho, Scientific Manager; Hervé Akinocho, Statistician Researcher. Mrs Tchitou Ibitola Epse Kokou-Songo, Sociologist Researcher

Description of the services actually rendered by your staff in the framework of the mission

- Development of survey instruments

- Preparation and implementation of a pilot survey

- Finalising the collection instruments

- Design of the collection application

- Training of collection agents

- Supervision of electronic data collection

- Clearance of collected data

- Return of audited data