Evidence map›Paper›PMID 32555618›Full record

ArticlePloS one2020

Influenza-associated excess mortality in the Philippines, 2006-2015.

Kent Jason Go Cheng, Adovich Sarmiento Rivera, Hilton Yu Lam, Allan Rodriguez Ulitin, Joshua Nealon, Ruby Dizon, David Bin-Chia Wu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
0.6field-weighted citation impact, top 31% 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

4 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

7 authors at 4 institutions in 3 countries.

Kent Jason Go ChengSocial Science Department, Maxwell School of Citizenship and Public Affairs, Syracuse University, Syracuse, NY, United States of America.ORCID 0000-0002-8931-4086
Adovich Sarmiento RiveraFeinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America.ORCID 0000-0003-2533-0818
Hilton Yu LamInstitute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila, Manila, Philippines.
Allan Rodriguez UlitinInstitute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila, Manila, Philippines.
Joshua NealonVaccines Epidemiology and Modeling, Sanofi Pasteur, Singapore, Singapore.
Ruby DizonMedical Affairs, Sanofi Pasteur, Taguig City, Metropolitan Manila, Philippines.
David Bin-Chia WuFaculty of Pharmacy and Pharmaceutical Sciences, Monash University Malaysia, Selangor, Malaysia.
University of the Philippines Manila · PHMonash University Malaysia · MYNorthwestern University · USSyracuse University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza-associated mortality has not been quantified in the Philippines. Here, we constructed multiple negative binomial regression models to estimate the overall and age-specific excess mortality rates (EMRs) associated with influenza in the Philippines from 2006 to 2015. The regression analyses used all-cause mortality as the dependent variable and meteorological controls, time, influenza A and B positivity rates (lagged for up to two time periods), and annual and semiannual cyclical seasonality controls as independent variables. The regression models closely matched observed all-cause mortality. Influenza was estimated to account for a mean of 5,347 excess deaths per year (1.1% of annual all-cause deaths) in the Philippines, most of which (67.1%) occurred in adults aged ≥60 years. Influenza A accounted for 85.7% of all estimated excess influenza deaths. The annual estimated influenza-attributable EMR was 5.09 (95% CI: 2.20-5.09) per 100,000 individuals. The EMR was highest for individuals aged ≥60 years (44.63 [95% CI: 4.51-44.69] per 100,000), second highest for children aged less than 5 years (2.14 [95% CI: 0.44-2.19] per 100,000), and lowest for individuals aged 10 to 19 years (0.48 [95% CI: 0.10-0.50] per 100,000). Estimated numbers of excess influenza-associated deaths were considerably higher than the numbers of influenza deaths registered nationally. Our results suggest that influenza causes considerable mortality in the Philippines-to an extent far greater than observed from national statistics-especially among older adults and young children.

Indexed as

AdolescentAdultChildChild, PreschoolFemaleHumansInfantInfant, NewbornInfluenza, HumanMaleMiddle AgedPhilippinesRegistriesRegression AnalysisRetrospective StudiesYoung Adult

Identifiers

PMID32555618
PMCPMC7299398
OpenAlexW3035834249

What OpenQuestion holds

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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 OpenQuestion graph.