Similar interventions to stop the spread of COVID-19 led to different outcomes in Latin American countries. This study aimed to capture the multicausality of factors affecting HS-capacity that could help plan a more effective response, considering health as well as social aspects. A facilitated GMB was constructed by experts and validated with a survey from a wider population. Statistical analyses estimated the impact of the main factors to the HS-capacity and revealed the differences in its mechanisms. The results show a similar four-factor structure in all countries that includes public administration, preparedness, information, and collective self-efficacy. The factors are correlated and have mediating effects with HS-capacity; this is the base for differences among countries. HS-capacity has a strong relation with public administration in Bolivia, while in Nicaragua and Uruguay it is related through preparedness. Nicaragua lacks information as a mediation effect with HS-capacity whereas Bolivia and Uruguay have, respectively, small and large mediation effects with it. These outcomes increase the understanding of the pandemic based on country-specific context and can aid policymaking in low-and middle-income countries by including these factors in future pandemic response models.
【저자키워드】 COVID-19, Latin America, Exploratory factor analysis, group model building, system dynamics, multicausality, mediating effects, 【초록키워드】 pandemic, Intervention, outcome, Health, Self-efficacy, mechanisms, information, administration, Analysis, Factor, effective response, help, Mediation effect, Effect, country, spread of COVID-19, lack, include, facilitated, correlated, affecting, Latin, 【제목키워드】 Dynamics, Capacity, Factor, System, Responding,