This study evaluates the comparative effectiveness of mobile health (mHealth) interventions for infectious disease surveillance and management during humanitarian crises in the United States from 2018 to 2024. We analyzed four distinct mHealth approaches deployed across 12 crisis events affecting 28 states, including natural disasters, disease outbreaks, and mass displacement scenarios. Data from 4,872 healthcare workers and 31,459 affected individuals revealed that hybrid systems combining smartphone applications with SMSbased reporting achieved the highest performance metrics for disease detection sensitivity (87.3%), reporting timeliness (mean 2.7 hours), and intervention deployment efficiency (89.5%). System sustainability varied significantly based on infrastructure resilience, with notable performance differences observed between rural and urban implementation contexts. We propose an adaptive implementation framework and decision support tool to guide contextappropriate mHealth deployment in future humanitarian responses within the United States, with potential applications for global humanitarian settings