ArticleTropical animal health and production2026
Spatio-temporal patterns and climate-associated risk of elevated somatic cell count in dairy herd under tropical conditions.
Article in Tropical animal health and production, 2026. 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Somatic cell count (SCC) is a widely used indicator of udder health and milk quality in dairy cattle; however, its spatio-temporal dynamics under tropical production conditions remain poorly understood. This study aimed to characterize spatio-temporal patterns of herd-level SCC and to evaluate associations between climatic conditions and SCC variation in Northern Thailand. An observational longitudinal study was conducted using 5,045 monthly herd-level observations from 102 dairy farms in Chiang Mai between January 2022 and August 2025. SCC was log10-transformed and analyzed as the primary outcome. Monthly meteorological data were obtained from the Thai Meteorological Department, and one-month lagged climatic variables were evaluated to capture potential delayed associations. Generalized additive mixed models were used to account for seasonality, long-term temporal trends, farm-level heterogeneity, and spatial structure using georeferenced farm locations. Inclusion of meteorological covariates improved overall model fit (ΔAIC ≈ - 11), although none of the individual climatic variables showed a statistically significant independent association with SCC at the 0.05 level. Addition of the spatial smooth further improved model fit (ΔAIC ≈ - 27 relative to the climate-adjusted model), and a significant broad spatial pattern persisted after adjustment for temporal, climatic, and farm-level factors. The final model explained approximately 52.5% of total deviance (adjusted R² = 0.51). In contrast, milk composition traits showed no significant residual spatial structure after adjustment. These findings demonstrate temporal and geographic heterogeneity in herd-level SCC under tropical dairy production conditions, while the associations of individual climatic predictors should be interpreted cautiously.
Indexed as
Identifiers
42747677What 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.