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The COVID-19 pandemic is deepening the health crisis in South Kivu, Democratic Republic of Congo.
Écochard, René; Wimba, Patient; Bengehya, Justin; Katchunga, Philippe Bianga; Lugwarha, Séraphine; Oyimangirwe, Moise; Bazeboso, Jacques-Aimé; Tshilolo, Léon; Longo-Mbenza, Benjamin; Rabilloud, Muriel; Iwaz, Jean; Étard, Jean-François; Vanhems, Philippe.
  • Écochard R; Université de Lyon, Lyon, France; Université Claude Bernard Lyon 1, Villeurbanne, France; Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France; Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, F
  • Wimba P; Université de Lyon, Lyon, France; Université Officielle de Bukavu, Bukavu, Democratic Republic of Congo; Cliniques Universitaires de Bukavu, Bukavu, Democratic Republic of Congo. Electronic address: patientwimba@gmail.com.
  • Bengehya J; Division Provinciale de la Santé Sud-Kivu, Bureau Information Sanitaire, Bukavu, Democratic Republic of Congo.
  • Katchunga PB; Université Officielle de Bukavu, Bukavu, Democratic Republic of Congo; Cliniques Universitaires de Bukavu, Bukavu, Democratic Republic of Congo.
  • Lugwarha S; Bureau Diocésain des Œuvres Médicales, Bukavu, Democratic Republic of Congo.
  • Oyimangirwe M; Université Officielle de Bukavu, Bukavu, Democratic Republic of Congo.
  • Bazeboso JA; Université de Mwene-Ditu, Lomami, Democratic Republic of Congo.
  • Tshilolo L; Université de Kinshasa, Kinshasa, Democratic Republic of Congo.
  • Longo-Mbenza B; Recherches translationnelles sur le VIH et les maladies infectieuses, TransVIHMI (Institut de Recherche pour le Développement, IRD UMI 233, Institut National de la Santé et de la Recherche Médicale, INSERM U 1175, Université de Montpellier), Montpellier, France.
  • Rabilloud M; Université de Lyon, Lyon, France; Université Claude Bernard Lyon 1, Villeurbanne, France; Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France; Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, F
  • Iwaz J; Université de Lyon, Lyon, France; Université Claude Bernard Lyon 1, Villeurbanne, France; Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France; Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, F
  • Étard JF; Recherches translationnelles sur le VIH et les maladies infectieuses, TransVIHMI (Institut de Recherche pour le Développement, IRD UMI 233, Institut National de la Santé et de la Recherche Médicale, INSERM U 1175, Université de Montpellier), Montpellier, France; EpiGreen, Paris, France.
  • Vanhems P; Université de Lyon, Lyon, France; Service d'Hygiène Hospitalière, Épidémiologie, Infectiovigilance et Prévention, Hospices Civils de Lyon, Lyon, France; Laboratoire des Pathogènes Émergents, Centre International de Recherche en Infectiologie, Université de Lyon, Lyon, France.
Int J Infect Dis ; 105: 716-720, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1169189
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Africa Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Africa Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article