Forecasting Diagnostic Testing Demand for Geospatial Analysis

This guide focuses on forecasting diagnostic testing demand specifically for tuberculosis (TB), human immunodeficiency virus (HIV), and human papilloma virus (HPV) through geospatial analysis. It outlines various methods for calculating current and future diagnostic testing demand, emphasizing the importance of understanding demand to allocate resources effectively. The document details the process of demand forecasting, including data preparation, historical demand analysis, and future demand calculation methods. It also discusses the complexity of geospatial analysis in demand forecasting, which requires not only estimating the volume of tests needed but also identifying the locations where demand will occur. The guide is intended for healthcare providers, policymakers, and specialists involved in diagnostic network optimization, aiming to ensure equitable access to necessary diagnostic tests. The methods presented are designed to be straightforward and applicable without requiring advanced statistical expertise.