Coronavirus disease 2019 (Covid-19) has plunged the world into a crisis that will forever be marked in the annals of humanity. Several mobile applications have been proposed, in particular to help limit or even stop the spread of the virus. In this paper, we propose a mobile data collection application, LISUNGIcovid19. This application has been built on the basis of the Open Data Kit (ODK) platform. The proposed solution offers both a mobile application and a data server to store, visualize and analyze the collected data. Although there are several applications created in this context of covid-19 such as STOPcovid or Wiqaytna, our solution is distinguished by the rapid adaptation of its data collection form according to the evolution of lockdown exit or renewed lockdown strategy adopted by the authorities. It will help decision-makers in the evaluation of their strategy and possibly the planning of lockdown exit and thus ensure a good management of the way out of this health crisis. The data collected by LISUNGIcovid19, as well as the analysis it proposes of this data, will enable the competent authorities to take the decision to quarantine, or isolate a city, a neighborhood or a group of individuals; or to start planning a progressive lockdown exit or even a new social isolation if necessary. The case study carried out in Morocco to test LISUNGIcovid19 helped to understand the classification of the cities of Casablanca, Rabat and Salé in zone 2 during the first phase of lockdown exit and then in zone 1 during its second phase; while the cities of Kenitra and Marrakech remained in zone 2 during both phases.