Evidence map›Paper›PMID 38365443›Full record

Observational studyThe Journal of infectious diseases2024

Epidemiology of Human Seasonal Coronaviruses Among People With Mild and Severe Acute Respiratory Illness in Blantyre, Malawi, 2011-2017.

Dory Kovacs, Ivan Mambule, Jonathan M Read, Anmol Kiran, Moses Chilombe, Thandiwe Bvumbwe, Stephen Aston, Mavis Menyere, Mazuba Masina, Moses Kamzati and 7 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The Journal of infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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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

17 authors at 6 institutions in 5 countries.

Dory KovacsSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-2187-743X
Ivan MambuleMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.ORCID 0000-0002-0888-8695
Jonathan M ReadCentre for Health Information Computation and Statistics, Lancaster Medical School, Lancaster University, Lancaster, United Kingdom.ORCID 0000-0002-9697-0962
Anmol KiranMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.
Moses ChilombeMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.ORCID 0000-0002-0948-2670
Thandiwe BvumbweMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.
Stephen AstonMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.ORCID 0000-0002-2404-8143
Mavis MenyereMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.ORCID 0000-0001-7319-4318
Mazuba MasinaMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.
Moses KamzatiMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.
Thokozani Namale GanizaMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.ORCID 0000-0001-9556-6733
Danielle IulianoNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0001-8742-3687
Meredith McMorrowNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0001-6363-4033
Naor Bar-ZeevInternational Vaccine Access Center, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States.ORCID 0000-0003-0570-4624
Dean EverettDepartment of Pathology and Infectious Diseases, College of Medicine and Health Sciences, Abu Dhabi, United Arab Emirates.ORCID 0000-0003-2253-6036
Neil FrenchMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.ORCID 0000-0002-9376-3482
Antonia HoMalawi-Liverpool-Wellcome Trust Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi.ORCID 0000-0003-1465-3785
University of Liverpool · GBCenters for Disease Control and Prevention · USJohns Hopkins University · USKhalifa University of Science and Technology · AELancaster University · GBUniversity of Glasgow · GB

Funding

Intramural CDC HHS CC999999Medical Research Council MC_UU_00034/6NCEZID CDC HHS U01 CK000146US Centers for Disease Control and Prevention 5U01CK000146-04Wellcome TrustWellcome Trust 091947
6 · The paper itself

Abstract

backgroundThe aim of this study was to characterize the epidemiology of human seasonal coronaviruses (HCoVs) in southern Malawi.

methodsWe tested for HCoVs 229E, OC43, NL63, and HKU1 using real-time polymerase chain reaction (PCR) on upper respiratory specimens from asymptomatic controls and individuals of all ages recruited through severe acute respiratory illness (SARI) surveillance at Queen Elizabeth Central Hospital, Blantyre, and a prospective influenza-like illness (ILI) observational study between 2011 and 2017. We modeled the probability of having a positive PCR for each HCoV using negative binomial models, and calculated pathogen-attributable fractions (PAFs).

resultsOverall, 8.8% (539/6107) of specimens were positive for ≥1 HCoV. OC43 was the most frequently detected HCoV (3.1% [191/6107]). NL63 was more frequently detected in ILI patients (adjusted incidence rate ratio [aIRR], 9.60 [95% confidence interval {CI}, 3.25-28.30]), while 229E (aIRR, 8.99 [95% CI, 1.81-44.70]) was more frequent in SARI patients than asymptomatic controls. In adults, 229E and OC43 were associated with SARI (PAF, 86.5% and 89.4%, respectively), while NL63 was associated with ILI (PAF, 85.1%). The prevalence of HCoVs was similar between children with SARI and controls. All HCoVs had bimodal peaks but distinct seasonality.

conclusionsOC43 was the most prevalent HCoV in acute respiratory illness of all ages. Individual HCoVs had distinct seasonality that differed from temperate settings.

Indexed as

CoronavirusCoronavirus InfectionsSeasonsAdolescentAdultAgedChildChild, PreschoolFemaleHumansInfantInfant, NewbornMalawiMaleMiddle AgedProspective StudieshumanMalawipathogen-attributable fractionseasonal coronavirussevere acute respiratory illness

Identifiers

PMID38365443
PMCPMC11322416
OpenAlexW4392783920

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.