Bayesian spatio-temporal modeling and prediction of malaria cases in Tanzania mainland (2016-2023): unveiling associations with climate and intervention factors
Abstract Background Malaria continues to pose a significant global health challenge, affecting approximately 200 million individuals annually and resulting in an estimated 600,000 deaths each year. In Tanzania, malaria ranks among the top five most commonly reported diseases in healthcare facilities...
Saved in:
| Main Authors: | Lembris Laanyuni Njotto, Wilfred Senyoni, Ottmar Cronie, Anna-Sofie Stensgaard |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
|
| Series: | International Journal of Health Geographics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12942-025-00408-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantitative modelling for dengue and Aedes mosquitoes in Africa: A systematic review of current approaches and future directions for Early Warning System development.
by: Lembris Laanyuni Njotto, et al.
Published: (2024-11-01) -
Trend of malaria parasites infection in Ethiopia along an international border: a Bayesian spatio-temporal study
by: Changkuoth Jock Chol, et al.
Published: (2025-07-01) -
Bayesian predictive modelling to ascertain factors affecting cattle milk production in Tanzania: Evidence from the national panel surveys 2012 – 2021
by: Zainabu Bonza, et al.
Published: (2025-03-01) -
An Approximate Bayesian Inference for Beta Regression Models
by: kobra Gholizadeh Gazvar, et al.
Published: (2022-07-01) -
Spatio-temporal pattern and risk factors of HIV/AIDS prevalence in Zhejiang, China, from 2005 to 2022 using R-INLA
by: Yifan Tang, et al.
Published: (2025-06-01)