Evidence map›Paper›PMID 36962965›Full record

ArticlePLOS global public health2023

Etiologies of influenza-like illness and severe acute respiratory infections in Tanzania, 2017-2019.

Maria Ezekiely Kelly, Radhika Gharpure, Sabrina Shivji, Miriam Matonya, Solomon Moshi, Ambele Mwafulango, Vumilia Mwalongo, Janneth Mghamba, Azma Simba, S Arunmozhi Balajee and 6 more

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 8 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

16 authors at 2 institutions in 2 countries.

Maria Ezekiely KellyMinistry of Health, Dar es Salaam, Tanzania.
Radhika GharpureU.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0000-0002-0702-5628
Sabrina ShivjiU.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0000-0003-2340-0050
Miriam MatonyaMinistry of Health, Dar es Salaam, Tanzania.
Solomon MoshiMinistry of Health, Dar es Salaam, Tanzania.
Ambele MwafulangoMinistry of Health, Dar es Salaam, Tanzania.
Vumilia MwalongoMinistry of Health, Dar es Salaam, Tanzania.
Janneth MghambaMinistry of Health, Dar es Salaam, Tanzania.
Azma SimbaMinistry of Health, Dar es Salaam, Tanzania.
S Arunmozhi BalajeeU.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Wangeci GateiU.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Marcelina MponelaU.S. Centers for Disease Control and Prevention, Dar es Salaam, Tanzania.
Grace SagutiWorld Health Organization, Dar es Salaam, Tanzania.
Toni WhistlerU.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0000-0002-7250-908X
Nyambura MoremiMinistry of Health, Dar es Salaam, Tanzania.
Vida MmbagaMinistry of Health, Dar es Salaam, Tanzania.
Ministry of Health and Social Welfare · TZCenters for Disease Control and Prevention · US

Funding

CGH CDC HHS U19 GH001247World Health Organization 001
6 · The paper itself

Abstract

In 2016, Tanzania expanded sentinel surveillance for influenza-like illness (ILI) and severe acute respiratory infection (SARI) to include testing for non-influenza respiratory viruses (NIRVs) and additional respiratory pathogens at 9 sentinel sites. During 2017-2019, respiratory specimens from 2730 cases underwent expanded testing: 2475 specimens (90.7%) were tested using a U.S. Centers for Disease Control and Prevention (CDC)-developed assay covering 7 NIRVs (respiratory syncytial virus [RSV], rhinovirus, adenovirus, human metapneumovirus, parainfluenza virus 1, 2, and 3) and influenza A and B viruses. Additionally, 255 specimens (9.3%) were tested using the Fast-Track Diagnostics Respiratory Pathogens 33 (FTD-33) kit which covered the mentioned viruses and additional viral, bacterial, and fungal pathogens. Influenza viruses were identified in 7.5% of all specimens; however, use of the CDC assay and FTD-33 kit increased the number of specimens with a pathogen identified to 61.8% and 91.5%, respectively. Among the 9 common viruses between the CDC assay and FTD-33 kit, the most identified pathogens were RSV (22.9%), rhinovirus (21.8%), and adenovirus (14.0%); multi-pathogen co-detections were common. Odds of hospitalization (SARI vs. ILI) varied by sex, age, geographic zone, year of diagnosis, and pathogen identified; hospitalized illnesses were most common among children under the age of 5 years. The greatest number of specimens were submitted for testing during December-April, coinciding with rainy seasons in Tanzania, and several viral pathogens demonstrated seasonal variation (RSV, human metapneumovirus, influenza A and B, and parainfluenza viruses). This study demonstrates that expanding an existing influenza platform to include additional respiratory pathogens can provide valuable insight into the etiology, incidence, severity, and geographic/temporal patterns of respiratory illness. Continued respiratory surveillance in Tanzania, and globally, can provide valuable data, particularly in the context of emerging respiratory pathogens such as SARS-CoV-2, and guide public health interventions to reduce the burden of respiratory illnesses.

Identifiers

PMID36962965
PMCPMC10021583
OpenAlexW4319719149

What OpenQuestion holds

Textfull text, public
LicenceCC0
measurements read58
identifiers read8
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.