Evidence map›Paper›PMID 36030277›Full record

ArticleScientific reports2022

COVID-19 mortality surveillance in Lebanon.

Linda Abou-Abbas, Zeina Nasser, Mario Baaklini, Lina Cheaito, Jeanette Karout, Hawraa Sweidan, Abbas Jouni, Nada Ghosn, Hamad Hassan

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Linda Abou-Abbas *Epidemiological Surveillance Program, Ministry of Public Health, Beirut, Lebanon. l.abouabbas@ul.edu.lb.ORCID 0000-0001-9185-3831
Zeina Nasser *Epidemiological Surveillance Program, Ministry of Public Health, Beirut, Lebanon.ORCID 0000-0002-5614-7103
Mario BaakliniEpidemiological Surveillance Program, Ministry of Public Health, Beirut, Lebanon.ORCID 0000-0002-2943-5441
Lina CheaitoEpidemiological Surveillance Program, Ministry of Public Health, Beirut, Lebanon.ORCID 0000-0003-1444-1416
Jeanette KaroutEpidemiological Surveillance Program, Ministry of Public Health, Beirut, Lebanon.ORCID 0000-0003-1983-8754
Hawraa SweidanEpidemiological Surveillance Program, Ministry of Public Health, Beirut, Lebanon.ORCID 0000-0003-2148-7711
Abbas JouniEpidemiological Surveillance Program, Ministry of Public Health, Beirut, Lebanon.ORCID 0000-0002-6649-3667
Nada GhosnEpidemiological Surveillance Program, Ministry of Public Health, Beirut, Lebanon.ORCID 0000-0003-3549-703X
Hamad HassanEpidemiological Surveillance Program, Ministry of Public Health, Beirut, Lebanon.ORCID 0000-0002-0297-6264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the beginning of the COVID-19 pandemic, the Epidemiological surveillance program of the Lebanese Ministry of Public Health has launched a rapid surveillance system for collecting COVID-19-related mortality data. In this study, we document the Lebanese experience of COVID-19 mortality surveillance and provide an analysis of the epidemiological characteristics of confirmed deaths. The implementation of the rapid COVID-19 mortality surveillance system, data sources, and data collection were described. A retrospective descriptive analysis of the epidemiological characteristics of confirmed cases occurring in Lebanon between February 20, 2020, and September 15, 2021, was performed. Epidemiological curves of Covid-19 confirmed cases and deaths as well as the geographic distribution map of mortality rates were generated. Between February 21, 2020, and September 15, 2021, a total of 8163 COVID-19-related deaths were reported with a predominance of males (60.4%). More than 60% were aged 70 years or above. Of all deaths, 84% occurred at hospitals and 16% at home. The overall cumulative mortality rate was 119.6 per 100,000. The overall case fatality ratio (CRF) was 1.3%. Of the total deaths, 82.2% had at least one underlying medical condition. The top reported COVID-19 comorbidities associated with COVID-19-related deaths are cardiovascular diseases including hypertension (59.1%), diabetes (37.2%), kidney diseases including dialysis (11%), cancer (6.7%), and lung diseases (6.3%). The CFR was 30.9% for kidney diseases, 20.2% for cancer, 20.2% for lung diseases, 18.1% for liver diseases, 14% for diabetes, and 12.2% for cardiovascular diseases. Considering the limited human and financial resources in Lebanon due to the economic and political crisis, the rapid mortality surveillance system can be considered successful. Improving this system is important and would contribute to better detection of deaths from emerging and re-emerging diseases during health crises.

Indexed as

Cardiovascular DiseasesCOVID-19NeoplasmsFemaleHumansLebanonMaleMortalityPandemicsRenal DialysisRetrospective Studies

Identifiers

PMID36030277
PMCPMC9419139

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Registered trials

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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.