Introduction: On March 11, 2020, the World Health Organization (WHO) declared the coronavirus outbreak to be pandemic. By March 16, 2020, 139 countries were affected. In this situation, the Scientific Societies decided to prepare this Contingency Plan to guide the response of health services. 4,088,848 COVID-19 cases and 283,153 deaths were confirmed worldwide. Recent data presented by the Ministry of Health in Brazil show that 177,589 cases of coronavirus and 72,597 recovered people have already been registered. However, nursing homes usually are not counted in these statistical data, as people usually die in the Istitution. Thus, developing a monitoring program in medical services, such as in nursing homes for eldery people (NHE) with ideal care for possible patients infected with COVID-19, is essential to increase the protection of the most vulnerable, as well as professionals of health. Objective: To present the monitoring program of the Nursing homes in the city of São José do Rio Preto/SP, by Faceres Medica School, as an important strategy to identify, control and allocate patients infected by COVID-19. Methods:. All the NHE registered in the city council were raised , with data such as head nurse name, number of beds available and number of inpatients . According to the program's action plan, telephone calls was made daily by trained medical students with a professor tuition to all institutions and information was provided by the head nurse.Thus, when a resident or employee has symptoms, he was removed and tested for SARS-CoV-2. Subsequently, epidemiological surveillance was communicated and the case was monitored. Final Considerations: According to the world literature, elderly patients with COVID-19 are more likely to progress to severe disease. Therefore, extensive measures to reduce the transmission of COVID-19 from person to person are being implemented to control the current outbreak. The monitoring program at the NHE proposed in the present study aims to collaborate in this regard, especially to the most vulnerable.