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Beyond the almost universal dimension of the crisis, it soon appeared that all the places
were nor identically hit. Instead, it appeared soon that some regions were most severely
touched than others. By the way, the virus exploited globalization forces to spread to the
densest and economically integrated metropolitan areas (Jeanne et al., 2022). In the networks
of the most globalized cities, this is referred to as topological diffusion, also known as reticular
diffusion. Thus, the virus exploited mobility networks at the heart of our economic
development and tourism and thrived in the densest, most productive, and socially intense
spaces. Short after China, Northern Italy was the first European region to be particularly
affected by the virus. This result is not surprising and draw attention on the role of local context
and regional characteristics in the spreading of the virus. Indeed, the Milan-Malpensa airport
is a significant freight airport with direct access to China and is also directly connected to China
via new Silk Roads. These connections could explain why Lombardy was hit first, whereas
Southern Italy, much further away from globalization, has been somewhat shielded. However,
places where COVID-19 soon emerged and rapidly spread in Europe are not only based on
metropolitan logic (ESPON, 2021). The virus also found favorable development conditions in
other places, and the unexpected second phase was characterized by new spreading
mechanisms, giving another shape to the geography resulting from the initial phase.
Because it affected people and places differently, COVID-19 rapidly inspired social
science research (Aristovnik et al., 2020). While individuals' characteristics and lifestyles were
of interest to researchers from the beginning of the pandemic, it took only a few months for
spatial differentiation to emerge as an autonomous field of investigation. The data regularly
published by the national health ministries and offices integrated into research projects help
showing that the territories were not equal in the face of the disease. Instead, some had
characteristics and had adopted health policies that made them more resilient (or vulnerable)
than others (Franch-Pardo et al., 2020; Denslow et al., 2022). Working papers, online
publications, and scientific journals quickly became interested in this subject. In the spring of
2020, a new field of geographical economics was born, now known as the 'geography of Covid.'
(Hass, Jokar Arsanjani, 2021; Bourdin et al. 2023). This interdisciplinary approach investigates
the spatial patterns, distribution, and interconnectedness of COVID-19 cases, analyzing the role
of geography in shaping the spread and impact of the virus. It led to different set of research.
First, noticing the local disparities in the prevalence of the disease and mortality rates,
scholars employed spatial analysis techniques to map and understand the geographic
distribution of COVID-19 cases, identifying hotspots, and examining factors contributing to
their emergence (Amdaoud et al., 2021a, b; Bourdin et al., 2021), following the example of
previous work in health geography (Curtis & Riva, 2010; Pak et al., 2020). Questions arose
regarding the influence of population density, urban-rural divide, and spatial inequalities in
healthcare accessibility. The literature indicates that high population density in urban areas,
along with disparities in healthcare access between urban and rural regions, and spatial
inequalities in healthcare accessibility, play significant roles in facilitating the spread of COVID-
19, leading to higher infection rates and poorer health outcomes in certain populations
(Boterman, 2020; Ettensperger, 2021, Roy and Kar, 2022).
Secondly, a large set of research exploring the relationship between COVID-19 and
socioeconomic factors also emerged. These studies sought to examines how living standards
and conditions influence vulnerability, exposure, and resilience to the virus. They have shown
that individuals with lower income, less education, and precarious housing conditions have
been more vulnerable to the negative impacts of COVID-19, experiencing higher rates of
infection and mortality (Blundell et al., 2020). Additionally, following Curci et al. (212) results,
they also showed that occupation played a significant role, with essential workers facing
increased exposure to the virus, while those in higher-status professions were often more
resilient due to the ability to work remotely and access better healthcare resources (Collins et
al., 2020).
Third, the geography of Covid also considered the responsibility of mobility and
transportation, studying the role of transportation networks, commuting patterns, and human
mobility in facilitating transmission. They sought exploring the effectiveness of travel
restrictions, the impact of public transportation, and the role of mobility in predicting future
outbreaks. They brought evidence about the effectiveness of travel restrictions, when
implemented early and rigorously whereas public transportation, particularly in densely
populated urban areas, has been identified as a potential hotspot for virus transmission,
highlighting the need for stringent safety measures and reduced capacity (Parino et al. 2021).
Furthermore, mobility patterns have been useful in predicting and monitoring future
outbreaks (van der Drift et al., 2022), with increased movement and travel correlating with
higher infection rates, emphasizing the importance of considering mobility in public health
strategies (Shortall et al., 2022).
Finally, analyzing the spatial distribution of healthcare facilities, geographers investigated
the capacity and accessibility of medical resources during the pandemic questioning the
adequacy of healthcare infrastructure, the allocation of resources, and the spatial variations in
healthcare outcomes (Cos et al., 2020). Research has shown that areas with a higher
concentration of healthcare facilities tend to have better access to testing, treatment, and
healthcare resources, leading to lower disease transmission rates and reduced mortality.
Conversely, areas with limited or unequal distribution of healthcare facilities often experience
higher rates of disease and mortality, as individuals may face barriers in accessing timely and
adequate healthcare services.
All the fields of research previously mentioned show that the COVID-19 pandemic has
had major consequences on the citizen life, policy makers and researchers. It impacted the
national and regional economies, the labor markets, and the societal structures. It also induced
new research questions quickly tackled by scholars. This special issue of the International
Regional Science Review aims to explore the geography of COVID-19 by examining its various
dimensions across different regions and countries. The articles included in this issue are
organized into three thematic sections: (1) regional economic dynamics and labor markets, (2)
public health responses and vaccination policies, and (3) social and demographic
vulnerabilities.
The first section examines the regional economic dynamics and labor markets affected
by the pandemic. The opening article, “Rekindling New Economic Geography in times of
COVID-19: Labor mobility responses to health shocks in Central and North America” by Adolfo
Cristóbal Campoamor and Ernesto Rodríguez-Crespo (2023, in this issue), rekindles New
Economic Geography in the context of COVID-19, investigating how the pandemic has
influenced labor mobility in Central and North America. The author proposes that the health
crisis may lead to a concentration of population and industry in Mexico, with potential positive
effects on real wages in the region. The research “The evolution of job insecurity in spatial
contexts in Europe during COVID-19 pandemic” proposed by Bogdan Constantin Ibanescu,
Alexandra Gheorghiu, Mioara Cristea and Gabriela Pascariu (2023, in this issue) analyzes the
evolution of job insecurity in Europe during the pandemic. By examining spatial, economic, and
demographic factors across several countries, the study highlights the impact of regional
characteristics on job insecurity perceptions and the importance of addressing these
disparities.
To complete the analysis of the spatial kinetics of the virus, and because health policies
strongly influenced it, the second section focuses on public health responses and vaccination
policies in the context of the pandemic. The article “Regional Disparities in COVID-19 Vaccine
Hesitancy: The Moderating Role of Social Distancing and Vaccine Rollout in the U.S.” authored
by Jung Ho Park (2023, in this issue) examines regional disparities in vaccine hesitancy in the
United States and how social distancing measures and vaccine rollout conditions affect
individuals' willingness to get vaccinated. The study identifies vulnerable subpopulations that
may require targeted intervention to reduce vaccine hesitancy and promote vaccination
uptake. Scholars and policy makers also observed soon that, fighting against Covid required
policies adapted to the local context. This point is documented by Francesco Scotti, Andrea
Flori, Giovanni Bonaccorsi, and Fabio Pammolli in their paper “Do we learn from errors? The
economic impact of differentiated policy restrictions in Italy” (2023, in this issue). They assess
the economic impact of differentiated policy restrictions in Italy, demonstrating how the
implementation of tiered policies produced varying welfare losses across sectors and regions.
The findings underline the importance of accounting for local socioeconomic factors when
designing tailored restrictions and support the idea that place-based policies increase the
effectiveness of public action.
The third section of this special issue addresses social and demographic vulnerabilities
related to the COVID-19 pandemic. Igor Santos Tupy, Fernanda Faria Silva, Gustavo Campolina
Figueiredo Diniz, Rosa Livia Montenegro, Alexandre de Queiroz de Queiroz Stein, and Diogo
Ferraz (2023, in this issue) in their paper “Resilient regions in Brazil: unfolding the effects of
COVID-19 from a socioeconomic perspective” explore the concept of resilient regions in Brazil,
focusing on the socioeconomic effects of COVID-19 and the effectiveness of various isolation
measures and financial aid policies. The findings offer valuable insights for policymakers in
developing countries struggling with the trade-offs between public health and economic
stability. Ana Sofia Lopes and Ana Sargento research “Regional Heterogeneity in the Individual
Unemployment Vulnerability after COVID-19 outset” (2023, in this issue) investigates regional
heterogeneity in individual unemployment vulnerability following the onset of COVID-19
focusing on the Portuguese case. By examining personal, job, and regional dimensions, the
paper emphasizes the significance of regional factors in understanding the pandemic's impact
on employment. Finally, the article by “Learning about the incidence and lethality of COVID-19
in vulnerable neighborhoods: The case of Malaga (Spain)” by Carmen Garcia-Peña, Julian
Molina and José Damian Ruiz Sinoga (2023, in this issue) explores the incidence and lethality
of COVID-19 in vulnerable neighborhoods in Malaga, Spain. The study emphasizes the need for
granular analyses at the neighborhood level to understand the factors contributing to COVID-
19 infection and mortality rates. They confirm the existence of hot spots and the role of
demographic and socioeconomic conditions in the concentration of the number of cases
observed.
Collectively, the papers collected in this Special Issue contribute to a deeper
understanding of the geography of COVID-19 and highlight the importance of regional science
in addressing the multifaceted challenges posed by the pandemic. They provide a step forward
for academic research and public policy. For policy makers the set of results presented argue
in favor of place-based policies even in presence of a global shock such as a pandemic and, in
such a case, also invite local governments and administrations to go beyond the field of public
health to consider socio-economic consequences. From an academic perspective, a lot remains
to be done to understand better how local policy answered to the spatial inequalities
exacerbated and created by Covid. One promising direction could consist in mixing quantitative
and qualitative methods to shed some light not only on statistical regularities but also on
idiosyncratic behaviors correlated with people's perceptions which, in turn, can determine
regional dynamics of COVID-19 and local resilience.
Anticipating future crises and preparing for them is becoming an essential aspect of
regional science. Long ago, several authors were advocating for an approach to crises through
regional science (Bailly and Coffey, 1994; Rees, 1999) and Martin (2021) confirms the
importance of approaching this object of study of crises in a context where they are likely to
multiply. In this context, a crucial area of focus should be predictive modeling and forecasting.
Sophisticated models that can predict the impact of diverse crises such as climate change,
pandemics, economic upheavals, and political instability at the regional level are more
necessary than ever. In light of this, crisis management and resilience should also be a central
part of regional science research (Caro and Fratesi, 2018). Understanding how different regions
can better prepare for, respond to, and recover from crises and investigating the factors
contributing to regional resilience are key areas for further exploration. Lastly, addressing
regional inequality, a fundamental issue exacerbated by crises, should also be a priority.
Research should explore what drives regional disparities in crisis impacts and recovery and
propose strategies to address these inequalities. This combined approach can provide a robust
framework for regional science to play a critical role in navigating through the increasingly
turbulent times ahead.
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Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research,
authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of
this article.
ORCID iDs
Sébastien Bourdin https://orcid.org/0000-0001-7669-705X
Nadine Levratto https://orcid.org/0000-0002-4928-8549