ArticleBMJ open2019
Evaluation of influenza surveillance systems in sub-Saharan Africa: a systematic review protocol.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Strengthening existing surveillance platforms to monitor pandemic-prone pathogens.The Lancet. Global health · 2023Article
- Development of a community-based COVID-19 intervention in rural Ghana: a document analysis.BMC public health · 2022Review
- Article
- The National Influenza Surveillance System of Korea.Infection & chemotherapy · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionInfluenza infrastructure systems are crucial for maintaining surveillance operations, and for mitigating and responding to the disease. The role of surveillance is to isolate and identify as rapidly as possible any new influenza strains and collate this information for the preparedness for, and response to, an impending influenza activity in humans. However, sources of surveillance information, particularly in Africa, are meagre. This systematic review will critically evaluate the existing influenza surveillance systems in sub-Saharan Africa. METHOD AND ANALYSIS: We will build multiple electronic database search strategies for use in PubMed, Scopus, African Journal Online, Web of Science and Google scholar to identify as many studies as possible. The medical subject heading and keywords will include a wide range of synonyms, both in index terms and free-text words. Database search will be followed by hand searching of reference lists of all relevant studies. We will include eligible full-text studies published from 2002 in order to coincide with the establishment of the integrated disease surveillance and response system in Africa by WHO. We will examine the influenza surveillance performance systems using the US Centers for Disease Control and Prevention guidelines on evaluating public health surveillance systems. Our outcome measures will include surveillance system attributes such as timeliness, sensitivity, specificity, acceptability, representativeness, simplicity and usefulness. We will conduct a narrative synthesis of all studies. ETHICS AND DISSEMINATION: This study does not require ethics approval because it uses publicly available data. Our findings will be published in a peer review journal and disseminated to policy makers. PROSPERO REGISTRATION NUMBER: CRD42018103042.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.