Evidence map›Paper›PMID 33744480›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2021

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

René Écochard, Patient Wimba, Justin Bengehya, Philippe Bianga Katchunga, Séraphine Lugwarha, Moise Oyimangirwe, Jacques-Aimé Bazeboso, Léon Tshilolo, Benjamin Longo-Mbenza, Muriel Rabilloud and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

René ÉcochardUniversité 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, France.
Patient WimbaUniversité 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.
Justin BengehyaDivision Provinciale de la Santé Sud-Kivu, Bureau Information Sanitaire, Bukavu, Democratic Republic of Congo.
Philippe Bianga KatchungaUniversité Officielle de Bukavu, Bukavu, Democratic Republic of Congo; Cliniques Universitaires de Bukavu, Bukavu, Democratic Republic of Congo.
Séraphine LugwarhaBureau Diocésain des Œuvres Médicales, Bukavu, Democratic Republic of Congo.
Moise OyimangirweUniversité Officielle de Bukavu, Bukavu, Democratic Republic of Congo.
Jacques-Aimé BazebosoUniversité de Mwene-Ditu, Lomami, Democratic Republic of Congo.
Léon TshiloloUniversité de Kinshasa, Kinshasa, Democratic Republic of Congo.
Benjamin Longo-MbenzaRecherches 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.
Muriel RabilloudUniversité 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, France.
Jean IwazUniversité 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, France.
Jean-François ÉtardRecherches 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.
Philippe VanhemsUniversité 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.
Université Claude Bernard Lyon 1 · FRInserm · FRUniversité Officielle de Bukavu · CDUniversity of Kinshasa · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe 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.

methodsFrom 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.

resultsMinimal 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.

conclusionDespite possible overestimations, the excess mortality in South Kivu is extremely concerning. This crisis calls for a rapid response and increased humanitarian assistance.

Indexed as

COVID-19Cross-Sectional StudiesDemocratic Republic of the CongoHealth SurveysHumansMasksPandemicsSARS-CoV-2Community-based surveillanceCOVID-19Democratic Republic of CongoMortalitySouth KivuSurvey

Identifiers

PMID33744480
PMCPMC7968148
OpenAlexW3138107602

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.