Introduction: Portugal took early action to control the COVID-19 epidemic, initiating lockdown measures on March 16th when it recorded only 62 cases of COVID-19 per million inhabitants and reported no deaths. The Portuguese public complied quickly, reducing their overall mobility by 80%. The aim of this study was to estimate the initial impact of the lockdown in Portugal in terms of the reduction of the burden on the healthcare system.

Tour guides are one of the professions that suffered the most from the health crisis and is one of the professions that will have the most difficulty in recovering. This difficulty arises not only from the fact that modern tourism has developed in other ways, more individualistic, supported by new technologies and today also encouraged by insecurity, but because this profession works mainly with the foreign market, very dependent on mobility much limited now by the pandemic.

Objectives: This study aimed to examine the link between human mobility and the number of coronavirus disease 2019 (COVID-19)–infected people in countries. Study design: Our data set covers 144 countries for which complete data are available. To analyze the link between human mobility and COVID-19–infected people, our study focused on the volume of air travel, the number of airports, and the Schengen system. Methods: To analyze the variation in COVID-19–infected people in countries, we used negative binomial regression analysis.

SARS-CoV-2 emerged in late 2019. Since then, it has spread to several countries, becoming classified as a pandemic. So far, there is no definitive treatment or vaccine, so the best solution is to prevent transmission between individuals through social distancing. However, it is not easy to measure the effectiveness of these distance measures. Therefore, this study uses data from Google COVID-19 Community Mobility Reports to understand the Portuguese population’s mobility patterns during the COVID-19 pandemic. In this study, the Rt value was modeled for Portugal.

Successive waves of immigration have long shaped societies, cultures and traditions, and supported the growth and development of host economies. Immigrants are consumers, taxpayers, investors, job creators and entrepreneurs. However, immigrant communities, and immigrant entrepreneurs in particular, face distinctive challenges in regard to good understanding of the local context and local market, awareness of laws and regulations, networking, nuances of language and mentality, or cultural aspects of doing business.

In this paper, we present a real-world study where a community-based tracking infrastructure has been put to good use for understanding human mobility during the COVID-19 outbreak, in order to contrast its diffusion. In particular, the infrastructure, deployed in 81 points of interests (POIs) across the Madeira Islands (Portugal), can collect a massive amount of spatio-temporal data, that can be enriched with potentially independent data sources of additional values (such as the official number of people affected by the coronavirus disease), and crowdsourced data collected by citizens.