Better data controls could transform how disease risk maps guide public health

A new analysis in The Lancet Regional Health argues that disease risk mapping—a key tool for allocating healthcare resources and targeting interventions—hinges on data quality more than many researchers acknowledge. The finding matters because poor data inputs can skew resource allocation decisions worth millions, potentially directing funding away from areas that truly need it.

Originaltitel: Input precision, output excellence: the importance of data quality control and method selection in disease risk mapping: authors’ reply