Evidence map›Paper›PMID 28686692›Full record

ArticlePloS one2017

Estimating influenza and respiratory syncytial virus-associated mortality in Western Kenya using health and demographic surveillance system data, 2007-2013.

Gideon O Emukule, Peter Spreeuwenberg, Sandra S Chaves, Joshua A Mott, Stefano Tempia, Godfrey Bigogo, Bryan Nyawanda, Amek Nyaguara, Marc-Alain Widdowson, Koos van der Velden and 1 more

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In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

11 authors.

Gideon O EmukuleCenters for Disease Control and Prevention - Kenya Country Office, Nairobi, Kenya.ORCID http://orcid.org/0000-0001-6581-242X
Peter SpreeuwenbergNetherlands Institute for Health Services research (NIVEL), Utrecht, The Netherlands.
Sandra S ChavesCenters for Disease Control and Prevention - Kenya Country Office, Nairobi, Kenya.
Joshua A MottCenters for Disease Control and Prevention - Kenya Country Office, Nairobi, Kenya.
Stefano TempiaInfluenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia, United States.
Godfrey BigogoKenya Medical Research Institute, Kisumu, Kenya.
Bryan NyawandaKenya Medical Research Institute, Kisumu, Kenya.
Amek NyaguaraKenya Medical Research Institute, Kisumu, Kenya.
Marc-Alain WiddowsonCenters for Disease Control and Prevention - Kenya Country Office, Nairobi, Kenya.
Koos van der VeldenRadboud University Medical Center, Department of Primary and Community care, Nijmegen, The Netherlands.
John W PagetRadboud University Medical Center, Department of Primary and Community care, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfluenza and respiratory syncytial virus (RSV) associated mortality has not been well-established in tropical Africa.

methodsWe used the negative binomial regression method and the rate-difference method (i.e. deaths during low and high influenza/RSV activity months), to estimate excess mortality attributable to influenza and RSV using verbal autopsy data collected through a health and demographic surveillance system in Western Kenya, 2007-2013. Excess mortality rates were calculated for a) all-cause mortality, b) respiratory deaths (including pneumonia), c) HIV-related deaths, and d) pulmonary tuberculosis (TB) related deaths.

resultsUsing the negative binomial regression method, the mean annual all-cause excess mortality rate associated with influenza and RSV was 14.1 (95% confidence interval [CI] 0.0-93.3) and 17.1 (95% CI 0.0-111.5) per 100,000 person-years (PY) respectively; and 10.5 (95% CI 0.0-28.5) and 7.3 (95% CI 0.0-27.3) per 100,000 PY for respiratory deaths, respectively. Highest mortality rates associated with influenza were among ≥50 years, particularly among persons with TB (41.6[95% CI 0.0-122.7]); and with RSV were among <5 years. Using the rate-difference method, the excess mortality rate for influenza and RSV was 44.8 (95% CI 36.8-54.4) and 19.7 (95% CI 14.7-26.5) per 100,000 PY, respectively, for all-cause deaths; and 9.6 (95% CI 6.3-14.7) and 6.6 (95% CI 3.9-11.0) per 100,000 PY, respectively, for respiratory deaths.

conclusionsOur study shows a substantial excess mortality associated with influenza and RSV in Western Kenya, especially among children <5 years and older persons with TB, supporting recommendations for influenza vaccination and efforts to develop RSV vaccines.

Indexed as

AdolescentAdultAgedAge DistributionCause of DeathChildChild, PreschoolFemaleHIV InfectionsHumansInfantInfluenza, HumanKenyaMaleMiddle AgedPneumonia, Viral

Identifiers

PMID28686692
PMCPMC5501643

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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.