Three parallel information systems for malaria elimination in Swaziland, 2010-2015: are the numbers the same?

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

5 citing papers in PubMed.

1. A comparative analysis of two national tuberculosis reporting systems and their impact on tuberculosis case notification in Uganda.African health sciences · 2023
   Article
2. Receptivity to malaria: meaning and measurement.Malaria journal · 2022
   Review
3. Innovative approach to improve information accuracy in a two-district cross-sectional study in Bihar, India.BMJ open · 2022
   Article
4. Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review.PloS one · 2020
   Article
5. To reach elimination one needs to think and act locally, to support the global vision.Public health action · 2018
   Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

9 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

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