Abstract
Systematic reviews and meta-analyses have long been adopted in global health research for aggregating existing studies. Although these analyses can synthesise existing evidence, additional insights from published studies can be unlocked by curating published studies and performing further modelling analysis. Yuan-Yuan Zhang and colleagues1 show that systematically reviewing, geolocating, and modelling published studies on spotted fever group rickettsioses (SFGR) can model infectious disease risks at a global scale.
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