Predicting communities with high tuberculosis case-finding efficiency to optimise resource allocation in Pakistan: comparing the performance of a negative binomial spatial lag model with a Bayesian machine-learning model
预测巴基斯坦结核病病例发现效率高的社区以优化资源配置:比较负二项空间滞后模型与贝叶斯机器学习模型的性能
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doi:10.1136/bmjph-2024-001424
Mergenthaler, Christina; Mathewson, Jake D; Lako, Stephanie; van der Merwe, Andreas Werle; Potgieter, Matthys; Meurrens, Vincent; Latif, Abdullah; Tahir, Hasan; Ahmed, Tanveer; Samad, Zia; Cobelens, Frank; Brals, Daniella; Bakker, Mirjam I; Rood, Ente