  As a worldwide pandemic, the coronavirus disease-19 (COVID-19) has caused
serious restrictions in people's social life, along with the loss of lives, the
collapse of economies and the disruption of humanitarian aids. Despite the
advance of technological developments, we, as researchers, have witnessed that
several issues need further investigation for a better response to a pandemic
outbreak. Therefore, researchers recently started developing ideas to stop or
at least reduce the spread of the pandemic. While there have been some prior
works on wireless networks for combating a pandemic scenario, vehicular
networks and their potential bottlenecks have not yet been fully examined.
Furthermore, the vehicular scenarios can be identified as the locations, where
the social distancing is mostly violated. With this motivation, this article
provides an extensive discussion on vehicular networking for combating a
pandemic. We provide the major applications of vehicular networking for
combating COVID-19 in public transportation, in-vehicle diagnosis, border
patrol and social distance monitoring. Next, we identify the unique
characteristics of the collected data in terms of privacy, flexibility and
coverage, then highlight corresponding future directions in privacy
preservation, resource allocation, data caching and data routing. We believe
that this work paves the way for the development of new products and algorithms
that can facilitate the social life and help controlling the spread of the
pandemic.
