An observational study based on official data (CONACYT and Ministry of Health) was carried out in which the effective reproduction index R(e) and the reproduction index R0 are compared with the mobility presented by Google. Additionally, an overview of the development of the pandemic in Querétaro, Mexico. Highlights key events; such as the main government interventions and social factors that could affect society’s behavior. A positive relationship is observed between Re, R0, and the levels of mobility presented by Google. This indicates that an increase in mobility is associated with the transmission of SARSCoV-2. In February, a significant decrease in mobility is observed, which lasts until approximately May 1st. This period corresponds to an R0 and R(e) between 1.17 and 1.87. After May 1st, there is a sustained increase in mobility levels. And, as of May 16, the effective reproduction index R (e) and the reproduction index R0 begin to increase. This is expected as it reflects the delay between the infection and the diagnosis of COVID-19. The R0 and R (e) increase from 1.45 on May 16 to 3.59 on July 5. According to the baseline of normal mobility levels, an increase from −49.6% on May 1st, to −20.6% on July 5 was observed. Based on these data, we conclude that the relaxation of restrictive mobility measures should be reconsidered. Despite this, mobility restrictions must not be a unique mitigation strategy for controlling the Reproductive Index. A comprehensive approach is needed, which generates socio-behavioral changes that allow a further reduction in reproductive rates. Key Messages: There is a positive correlation between the reproductive number (R0) and the effective reproductive index (Re) of SARS-CoV-2 and mobility trends in Querétaro, Mexico. A clear increase in mobility in the population in Queretaro, Mexico is associated with an increase in the rate of transmission of Covid-19.

The health impact of the pandemic in Queretaro, México is assessed. The socioeconomic conditions of the population and health policies implemented at the federal and state level as well as in the Universidad Autonoma de Queretaro are examined. The work is presented in three parts: In the first part, epidemiological data related to the incidence, prevalence, and mortality from COVID-19 in Mexico and Querétaro is presented. In the second part, the epidemiological panorama of Queretaro is presented as an analysis tool to assess the epidemiological behavior of the population and the social, economic, and health conditions in the state. Finally, in the third part, health policies implemented by the state university and the experience of an integrative care model, implemented in the ‘Clinica de Atencion Integral COVID’, which provides multidisciplinary assessment and treatment for COVID-19, is presented.

Using Mexico as a model nation, the authors explore the systems approach for addressing COVID-19. The elements in any system are highly interconnected as they continuously influence each other. Public health challenges do not exist in a vacuum but are influenced by several factors including the social, economic, and political context. To understand any one factor, mapping the surrounding elements and analyzing the relationship between them and other elements in the rest of the system is necessary. Key elements of the impact and the response to the pandemic are examined by applying the systems thinking approach within the Mexican context. A systems analysis of COVID-19 is conducted using a systems map to illustrate the complexity of the system and to understand how to leverage the power of systems thinking to execute intersectoral, innovative, and highly impactful interventions for an improved response to the ongoing COVID-19 pandemic and pandemics in the future.