ArticleOpen veterinary journal2025
Spatial patterns and prediction of the temporal spread of cattle theileriosis in Jambi Province, Indonesia.
Article in Open veterinary journal, 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Bovine theileriosis is a tick-borne disease that can cause economic losses worldwide, including in tropical countries such as Indonesia. In some regions of Indonesia, cattle are one of the most important commodities that play a role in sustaining economic flow, including in Jambi Province. Aim: This study aimed to determine the prevalence, spatial distribution, and prediction trends of the disease up to 2027 in Jambi Province, Indonesia. Methods: Retrospective data were obtained from active and passive surveillance in Jambi Province and used for calculating the prevalence, with 6,868 cases recorded between 2018 and 2023. Spatial analysis was conducted using the R software (version 4.3.1), while time series forecasting was performed using Python on the Google Colab platform. Results: The overall prevalence during the study period was 8.07% (554/6868, 95% CI, 74.2%-8.71%). Spatial autocorrelation analysis using Moran's I statistic resulted in a value of 0.17, with a standard deviation of 1.17 and a Conclusion: The current prevalence of bovine theileriosis in Jambi Province is relatively low; however, the potential risk of disease introduction and spread from other regions remains. Preventive and control strategies are essential to safeguard the health of cattle and limit the transmission of bovine theileriosis in Jambi Province.
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.