ArticleIJID regions2025
Trends and seasonal variation in gastrointestinal infections in Tanzania: Analysis of 5-year DHIS2 data toward implementing the sampling cycles and metagenomic analyses.
Article in IJID regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Gastrointestinal (GI) infections, such as diarrhea and dysentery, continue to be major contributors of morbidity and mortality in low-resource countries. Determining trends and seasonality of GI infections provides a better understanding of how interventions can be improved to reduce the burden. To this effect, an analysis of data from the District Health Information System 2 (DHIS2) was conducted to determine the trend and seasonal variations of GI infections in regions located in the Great Lakes of Tanzania. Methods: Data from DHIS2 of 22 districts in Tanzania recorded between January 2018 and December 2022 were analyzed for trends and seasonal variations in GI infections. The data were managed and analyzed by STATA and Microsoft Excel. Results: A total of 1,511,623 GI cases were recorded between January 2018 and December 2022, with diarrhea leading by 84.4%. Data have shown clear seasonal variations of GI infection: peaks during the rainy season and decline in the dry season. Conclusion: Results have revealed that there is a significant decrease in GI infections from January to August, and the cases increase from September to December. This confirmed two sampling cycles, the dry and rainy season, within which pathogen characteristics and diversity will be elucidated.
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.