[Seroprevalence of SARS-CoV-2 antibodies among travellers and workers screened at the Saint Luc Clinic in Bukavu, a city in eastern Democratic Republic of the Congo, from May to August 2020]. / Séroprévalence des anticorps anti-SARS-CoV-2 parmi les voyageurs et travailleurs dépistés à la clinique Saint Luc de Bukavu, à l´Est de la République Démocratique du Congo, de mai en août 2020.

INTRODUCTION: SARS-CoV-2 serology tests could play a crucial role in estimating the prevalence of COVID-19. The purpose of this study was to estimate the prevalence of COVID-19 among travellers and workers in Bukavu, a city in eastern Democratic Republic of the Congo. METHODS: between May and August 2020, the Cellex qSARS-CoV-2 IgG/IgM Rapid Test (Cellex, Inc., USA), lateral flow immunoassay was used to rapidly detect and differentiate antibodies against SARS-CoV-2 among travellers and workers seeking medical certification. RESULTS: among the 684 residents of the city of Bukavu screened for COVID-19 (4.2% Hispanic, 2.8% other African, 0.9% Asian), the seroprevalence anti-SARS-CoV-2 antibodies was 40.8% (IgG+/IgM+: 34.6%; IgG+/IgM-: 0.5%; IgG-/IgM+: 5.4%). Cumulative seroprevalence of anti-SARS-CoV-2 IgG antibodies increased from 24.5% to 35.2% from May to August 2020. Independent predictors of SARS-CoV-2 antibodies were age > 60 years [adjusted OR = 2.07(1.26-3.38)] and non-membership of the medical staff [adjusted OR = 2.28 (1.22-4.26)]. Thirteen point nine percent of patients seropositive for SARS-CoV-2 antibodies were symptomatic and hospitalized. CONCLUSION: this study shows a very high seroprevalence of SARS-CoV-2 antibodies among travellers and workers in Bukavu, a city in eastern Democratic Republic of the Congo, which may positively affect community immunity in the study population. Thus, the management of COVID-19 should be contextualized according to local realities.

The COVID-19 pandemic is deepening the health crisis in South Kivu, Democratic Republic of Congo.

OBJECTIVE: The outbreak of coronavirus disease 2019 (COVID-19) in South Kivu, Democratic Republic of Congo raised concerns regarding additional morbidity and mortality. Updating these indicators before a second wave is essential in order to prepare for additional help. METHODS: From mid-May to mid-December 2020, weekly surveys were undertaken in sampled streets from 10 health areas to quantify the use of barrier measures, and interview pedestrians about sickness and deaths in their households. Crude death rates (CDRs) were estimated. RESULTS: Minimal use or no use of face masks was observed in at least half of the streets. From May to December 2020, the number of suspected cases of COVID-19 increased six-fold (P < 0.05). Of deaths within 30 days preceding the interviews, 20% were considered to be related to COVID-19. The monthly CDRs at the beginning and end of the study were approximately 5 and 25 per 1000 population, respectively (P < 0.05); that is, annual CDRs of 60 and 260 per 1000 population, respectively. Thus, during the first wave, the estimated mortality rate increased by 50% compared with previous years, and increased at least four-fold by the end of 2020. CONCLUSION: Despite possible overestimations, the excess mortality in South Kivu is extremely concerning. This crisis calls for a rapid response and increased humanitarian assistance.

A dashboard for monitoring preventive measures in response to COVID-19 outbreak in the Democratic Republic of Congo.

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.