Evidence map›Paper›PMID 35896297›Full record

ArticleBMJ open2022

COVID-19 morbidity in Afghanistan: a nationwide, population-based seroepidemiological study.

Sayed Ataullah Saeedzai, Mohammad Nadir Sahak, Fatima Arifi, Eman Abdelkreem Aly, Margo van Gurp, Lisa J White, Siyu Chen, Amal Barakat, Giti Azim, Bahara Rasoly and 6 more

Abstract read
In one paragraph

Article in BMJ open, 2022. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

16 authors.

Sayed Ataullah SaeedzaiMonitoring, Evaluation and Health Information System, Ministry of Public Health, Kabul, Afghanistan.
Mohammad Nadir SahakWHE, World Health Organization, Kabul, Afghanistan.
Fatima ArifiWHE, World Health Organization, Kabul, Afghanistan fatima.arefi@gmail.com.ORCID 0000-0003-3923-689X
Eman Abdelkreem AlyInformation Systems for Health Unit, WHO Eastern Mediterranean Regional Office, Cairo, Egypt.
Margo van GurpKIT Royal Tropical Institute, Amsterdam, Netherlands.
Lisa J WhiteBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, Universiry of Oxford, Oxford, UK.
Siyu ChenBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, Universiry of Oxford, Oxford, UK.
Amal BarakatInfectious Hazard Preparedness Unit, WHO Eastern Mediterranean Regional Office, Cairo, Egypt.
Giti AzimMonitoring, Evaluation and Health Information System, Ministry of Public Health, Kabul, Afghanistan.
Bahara RasolyMonitoring, Evaluation and Health Information System, Ministry of Public Health, Kabul, Afghanistan.
Soraya SafiMonitoring, Evaluation and Health Information System, Ministry of Public Health, Kabul, Afghanistan.
Jennifer A FleggSchool of Mathematics and Statistics, University of Melbourne, Melbourne, Victoria, Australia.
Nasar AhmedDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, Florida, USA.
Mohmmad Jamaluddin AhadiMonitoring, Evaluation and Health Information System, Ministry of Public Health, Kabul, Afghanistan.
Niaz M AchakzaiDepartment of Molecular Biology, Forensic Medicine Directorate, Ministry of Public Health, Kabul, Afghanistan.
Alaa AbouZeidDepartment of Public Health, Cairo University Kasr Alainy Faculty of Medicine, Cairo, Egypt.

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectiveThe primary objectives were to determine the magnitude of COVID-19 infections in the general population and age-specific cumulative incidence, as determined by seropositivity and clinical symptoms of COVID-19, and to determine the magnitude of asymptomatic or subclinical infections. DESIGN, SETTING AND

participantsWe describe a population-based, cross-sectional, age-stratified seroepidemiological study conducted throughout Afghanistan during June/July 2020. Participants were interviewed to complete a questionnaire, and rapid diagnostic tests were used to test for SARS-CoV-2 antibodies. This national study was conducted in eight regions of Afghanistan plus Kabul province, considered a separate region. The total sample size was 9514, and the number of participants required in each region was estimated proportionally to the population size of each region. For each region, 31-44 enumeration areas (EAs) were randomly selected, and a total of 360 clusters and 16 households per EA were selected using random sampling. To adjust the seroprevalence for test sensitivity and specificity, and seroreversion, Bernoulli's model methodology was used to infer the population exposure in Afghanistan. OUTCOME MEASURES: The main outcome was to determine the prevalence of current or past COVID-19 infection.

resultsThe survey revealed that, to July 2020, around 10 million people in Afghanistan (31.5% of the population) had either current or previous COVID-19 infection. By age group, COVID-19 seroprevalence was reported to be 35.1% and 25.3% among participants aged ≥18 and 5-17 years, respectively. This implies that most of the population remained at risk of infection. However, a large proportion of the population had been infected in some localities, for example, Kabul province, where more than half of the population had been infected with COVID-19.

conclusionAs most of the population remained at risk of infection at the time of the study, any lifting of public health and social measures needed to be considered gradually.

Indexed as

COVID-19AdultAfghanistanAntibodies, ViralCross-Sectional StudiesHumansPrevalenceSARS-CoV-2Seroepidemiologic StudiesYoung AdultAntibodies, ViralCOVID-19epidemiologypublic health

Identifiers

PMID35896297
PMCPMC9334691

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.