Human mobility behavior in COVID-19: A systematic literature review and bibliometric analysis

Benita, Francisco

doi:10.1016/j.scs.2021.102916

Cited by 153 publications

(105 citation statements)

References 153 publications

(224 reference statements)

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“…Controlled for different individual variables, the results generally suggested that a high-risk perception of a disease is associated with an increased likelihood of practicing certain health behaviors [12]. In spatial and geographical sciences, it is well-recognized that human mobility is crucial in shaping disease transmission [13][14][15] To understand the factors shaping the mobility-related prevention of an infectious disease, studies have revealed that a higher risk perception is associated with reduced mobility [16][17][18]. Empirically, during previous pandemics, the high risk perception of an infectious disease is positively related with an increased chance of making necessary behavioral changes (e.g., Reference [19] on swine flu, [20] on SARS, and [21] on H1N1).…”

Section: Introductionmentioning

confidence: 99%

“…Empirically, during previous pandemics, the high risk perception of an infectious disease is positively related with an increased chance of making necessary behavioral changes (e.g., Reference [19] on swine flu, [20] on SARS, and [21] on H1N1). Similarly, recent studies on the psycho-behavioral responses to COVID-19 in many locales showed that different risk perceptions lead to vastly different preventive practices [18,[22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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Relationships among COVID-19 Prevention Practices, Risk Perception and Individual Characteristics: A Temporal Analysis

Wang

Chen

et al. 2021

IJERPH

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The effectiveness of public health measures in containing an infectious disease largely depends on how the general public is taking the prevention practices in daily lives. Previous studies have shown that different risk perceptions and sociodemographic characteristics may lead to vastly different prevention behaviors. This paper applies a temporal perspective in examining the changing patterns of prevention practices over time and their dynamic relationships with the perceived risk towards COVID-19 and its individual characteristics. Three key timelines (February, April, and June of 2020) were identified to represent the early, lockdown, and reopening stages of the first wave. Data were drawn from an online survey conducted in the Greater Toronto Area (GTA) of Canada (n = 470). Chi-square tests and logistic regression models revealed important temporal patterns in practicing different hygienic and mobility-related prevention measures and the respondents’ risk perceptions during the three timelines. The factors predicting the level of prevention practices vary across the three timelines, based on the specific type of prevention, and within the changing public health contexts. This study contributes to the literature on COVID-19 by incorporating a temporal perspective in conceptualizing prevention predictors. It provides crucial insights for developing timely public health strategies to improve infectious disease prevention at different stages and for individuals with varying backgrounds.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Relationships among COVID-19 Prevention Practices, Risk Perception and Individual Characteristics: A Temporal Analysis

Wang

Chen

et al. 2021

IJERPH

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“…In fact, the main factor contributing to reductions in mobility appears to be the fear of contagion [47]. Mobility and its relation to economic activity in times of a pandemic need a further research agenda [48].…”

Section: Discussionmentioning

confidence: 99%

Non-Intrusive Assessment of COVID-19 Lockdown Follow-Up and Impact Using Credit Card Information: Case Study in Chile

Muñoz-Cancino

Ríos

Goić

et al. 2021

IJERPH

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In this paper, we propose and validate with data extracted from the city of Santiago, capital of Chile, a methodology to assess the actual impact of lockdown measures based on the anonymized and geolocated data from credit card transactions. Using unsupervised Latent Dirichlet Allocation (LDA) semantic topic discovery, we identify temporal patterns in the use of credit cards that allow us to quantitatively assess the changes in the behavior of the people under the lockdown measures because of the COVID-19 pandemic. An unsupervised latent topic analysis uncovers the main patterns of credit card transaction activity that explain the behavior of the inhabitants of Santiago City. The approach is non-intrusive because it does not require the collaboration of people for providing the anonymous data. It does not interfere with the actual behavior of the people in the city; hence, it does not introduce any bias. We identify a strong downturn of the economic activity as measured by credit card transactions (down to 70%), and thus of the economic activity, in city sections (communes) that were subjected to lockdown versus communes without lockdown. This change in behavior is confirmed by independent data from mobile phone connectivity. The reduction of activity emerges before the actual lockdowns were enforced, suggesting that the population was spontaneously implementing the required measures for slowing virus propagation.

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“…In China, buses operate at 50% capacity or less and on-board cameras are used to enforce this rule (Wong, 2020). Measures taken in the aviation industry include barriers between boarding gates, blocking middle seats or forbidding carry-on luggage into the cabin (Benita, 2021).…”

Section: 33mentioning

confidence: 99%

COVID-19 passenger transport measures and their impacts

2021

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Governments all over the world have had to implement various policy measures in order to curb the spread of COVID-19, impacting many people's lives and livelihoods. Combinations of measures targeting the transportation sector and other aspects of social life have been implemented with varying degrees of success in different countries. This paper proposes a classification of COVID-19 measures aimed at passenger mobility. We distinguish the categories "avoidance of travel", "modal shift" and "improvement of quality". Per category, we distinguish different types of measures and effects (social, economic and environmental). Next, we review the literature on COVID-19 measures for passenger mobility, after which we discuss the policy relevance of our findings and propose a research agenda. We conclude that broad or integral assessments of measures on all socially relevant effects are rare. Also, few studies exist to determine the effects of individual measures and deal with combinations of measures instead. Studies on social or economic effects focus on partial direct effects (e.g. turnover of the transport sector, effect of mobility measures on commuter traffic) and do not elaborate on indirect effects (e.g. changes in household expenditure, stress levels). Finally, there is a greater focus in the literature on intermediary health indicators (e.g. travel behaviour) but less on the actual spread of COVID-19 or indeed on other indirect health effects of measures (e.g. due to air pollution, more exercise, etc).

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Human mobility behavior in COVID-19: A systematic literature review and bibliometric analysis

Cited by 153 publications

References 153 publications

Relationships among COVID-19 Prevention Practices, Risk Perception and Individual Characteristics: A Temporal Analysis

Relationships among COVID-19 Prevention Practices, Risk Perception and Individual Characteristics: A Temporal Analysis

Non-Intrusive Assessment of COVID-19 Lockdown Follow-Up and Impact Using Credit Card Information: Case Study in Chile

COVID-19 passenger transport measures and their impacts

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