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A dashboard for monitoring preventive measures in response to COVID-19 outbreak in the Democratic Republic of Congo.
Wimba, Patient Mijiriro; Bazeboso, Jacques-Aimé; Katchunga, Philippe Bianga; Tshilolo, Léon; Longo-Mbenza, Benjamin; Rabilloud, Muriel; Vanhems, Philippe; Iwaz, Jean; Étard, Jean-François; Écochard, René.
  • Wimba PM; Université Officielle de Bukavu, Bukavu, Democratic Republic of Congo.
  • Bazeboso JA; Cliniques Universitaires de Bukavu, Bukavu, Democratic Republic of Congo.
  • Katchunga PB; Université de Lyon, Lyon, France.
  • Tshilolo L; Université de Kinshasa, Kinshasa, Democratic Republic of Congo.
  • Longo-Mbenza B; Université Officielle de Bukavu, Bukavu, Democratic Republic of Congo.
  • Rabilloud M; Cliniques Universitaires de Bukavu, Bukavu, Democratic Republic of Congo.
  • Vanhems P; Université de Kinshasa, Kinshasa, Democratic Republic of Congo.
  • Iwaz J; Université de Kinshasa, Kinshasa, Democratic Republic of Congo.
  • Étard JF; Université de Lyon, Lyon, France.
  • Écochard R; Équipe Biostatistique Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France.
Trop Med Health ; 48: 74, 2020.
Article in English | MEDLINE | ID: covidwho-731240
ABSTRACT

BACKGROUND:

In most health areas, an information system is necessary for an effective fight against COVID-19. Current methods for surveillance of diseases with epidemic potential do not include monitoring the adherence to preventive measures. Furthermore, modern data collection methods depend often on technologies (e.g., cameras or drones) that are hardly available in low-income countries. Simpler solutions could be just as effective.

METHODS:

A dashboard was used over a whole week to monitor preventive measures in Bukavu (DRC) by mid-May 2020. It was designed to collect from street passers-by information on the adherence to barrier measures, the level of awareness of these measures, the opinion on their usefulness, and the health status of people in the households.

RESULTS:

Creating a dashboard and collecting the necessary data proved feasible. The use of barrier measures was very limited and that of masks practically nil despite repeated recommendations from the health authorities. The end of each day was the worst moment due to clearly insufficient distancing. Barrier measures were significantly more used in areas where they were best known and most acknowledged. At the time of the study, there were few sick people and only rare severe cases were attributed to COVID-19.

CONCLUSIONS:

Creating COVID-19 situation dashboards in limited-resource metropoles is feasible. They give real-time access to data that help fight the epidemic. The findings of this pilot study call for a rapid community awareness actions to back national media-based prevention campaigns.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Trop Med Health Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Trop Med Health Year: 2020 Document Type: Article