| Literature DB >> 34948705 |
Megan Heckert1, Amanda Bristowe1.
Abstract
Green infrastructure (GI) has long been known to impact human health, and many academics have used past research to argue for the potential importance of GI as a mechanism for maintaining or improving health within the context of the COVID-19 pandemic. This scoping review addresses the question: What evidence, if any, have researchers found of a relationship between green infrastructure use and health during the COVID-19 pandemic? Specifically, evaluating the (a) association of GI use with COVID-19 disease outcomes and (b) association of GI use with other health outcomes as impacted by the COVID-19 pandemic. Twenty-two studies were identified that measured GI use and studied it in relation to health outcomes during the pandemic. The studies were reviewed for the specific measures and types of GI use, level of analysis, specific types of health outcomes, and the conclusions reached with regard to GI use and health. Studies exploring COVID-19-specific health outcomes showed mixed results, while non-COVID health outcomes were more consistently improved through GI use, particularly with regard to improved mental health. While the evidence strongly suggests that GI use has played a protective role in non-COVID-19 physical and mental health during the pandemic, questions remain with regard to possible impacts on COVID transmission and mortality.Entities:
Keywords: COVID-19; green infrastructure; pandemic
Mesh:
Year: 2021 PMID: 34948705 PMCID: PMC8701349 DOI: 10.3390/ijerph182413096
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Diagram of the search process.
Summary chart of articles identified in theme 1: the impacts of GI use on COVID-19-specific health outcomes.
| Author (Year) | Unit of Analysis | Health Outcomes | Impact of GI Use | |||||
|---|---|---|---|---|---|---|---|---|
| State/Region/District | Country | COVID-19 Cases | COVID-19 Reproductive Rate | COVID-19 Deaths | Reduced Negative Outcomes | No Impact | Increased Negative Outcomes | |
| Casa Nova et al. (2021) [ | x | x | x | |||||
| DePhillipo et al. (2021) [ | x | x | x | |||||
| Johnson et al. (2021) [ | x | x | x | |||||
| Kartal, Depren, and Depren (2021) [ | x | x | x | x | x | |||
| Noland (2021) [ | x | x | x | |||||
| Praharaj and Han (2021) [ | x | x | x | |||||
| Tyrovolas et al. (2021) [ | x | x | x | x | x | |||
Summary of articles identified in theme 2: the impacts of GI use on non-COVID health outcomes.
| Author (Year) | Form of GI Use | Health Outcomes | Impact of GI Use | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Self-reported park/green space visits | Self-reported private GI use | Use of unspecified green or natural area | Anxiety | Cancer symptoms | Depression | Fatigue | Life satisfaction | Loneliness | Mental distress | Mental wellbeing | Physical health | Psychological distress | Psychopathology (internalizing) | Psychopathology (externalizing) | Self-esteem | Sleep quality | Somatization | Stress | Subjective wellbeing | Reduced negative outcomes | Increased positive outcomes | No impact | |
| Corley et al. (2021) [ | x | x | x | x | x | x | |||||||||||||||||
| Gola et al. (2021) [ | x | x | x | x | |||||||||||||||||||
| Heo et al. (2021) [ | x | x | x | x | x | ||||||||||||||||||
| Hubbard et al. (2021) [ | x | x | x | ||||||||||||||||||||
| Jackson et al. (2021) [ | x | x | x | ||||||||||||||||||||
| Lee et al. (2021) [ | x | x | x | ||||||||||||||||||||
| Lehberger, Kleih and Sparke (2021) [ | x | x | x | x | |||||||||||||||||||
| Longman et al. (2021) [ | x | x | x | x | x | x | |||||||||||||||||
| Marques et al. (2021) [ | x | x | x | x | |||||||||||||||||||
| Mayen Huerta and Utomo (2021) [ | x | x | x | ||||||||||||||||||||
| Pearson et al. (2021) [ | x | x | x | x | |||||||||||||||||||
| Rajoo et al. (2021) [ | x | x | x | x | x | ||||||||||||||||||
| Ribeiro et al. (2021) [ | x | x | x | x | x | x | |||||||||||||||||
| Rosen et al. (2021) [ | x | x | x | x | |||||||||||||||||||
| Soga et al. (2020) [ | x | x | x | x | x | x | x | x | |||||||||||||||
Authors, title, and theme for all included articles.
| Author (Year) | Title | Theme |
|---|---|---|
| Casa Nova et al. (2021) [ | Are mobility and COVID-19 related? A dynamic analysis for Portuguese districts | Theme 1: COVID-specific Outcomes |
| DePhillipo et al. (2021) [ | Mobile phone GPS data and prevalence of COVID-19 infections: Quantifying parameters of social distancing in the U.S. | Theme 1: COVID-specific Outcomes |
| Johnson et al. (2021) [ | Associations between COVID-19 transmission rates, park use, and landscape structure | Theme 1: COVID-specific Outcomes |
| Kartal, Depren, and Depren (2021) [ | The relationship between mobility and COVID-19 pandemic: Daily evidence from an emerging country by causality analysis | Theme 1: COVID-specific Outcomes |
| Noland (2021) [ | Mobility and the effective reproduction rate of COVID-19 | Theme 1: COVID-specific Outcomes |
| Praharaj and Han (2021) [ | Human mobility impacts on the surging incidence of COVID-19 in India | Theme 1: COVID-specific Outcomes |
| Tyrovolas et al. (2021) [ | Estimating the COVID-19 spread through real-time population mobility patterns: Surveillance in low- and middle-income countries | Theme 1: COVID-specific Outcomes |
| Corley et al. (2021) [ | Home garden use during COVID-19: Associations with physical and mental wellbeing in older adults | Theme 2: Non-COVID Health Outcomes |
| Gola et al. (2021) [ | Influence of Nature at the Time of the Pandemic: An Experience-Based Survey at the Time of SARS-CoV-2 to Demonstrate How Even a Short Break in Nature Can Reduce Stress for Healthcare Staff | Theme 2: Non-COVID Health Outcomes |
| Heo et al. (2021) [ | Impact of changed use of greenspace during COVID-19 pandemic on depression and anxiety | Theme 2: Non-COVID Health Outcomes |
| Hubbard et al. (2021) [ | Are rurality, area deprivation, access to outside space, and green space associated with mental health during the COVID-19 pandemic? A cross sectional study (charis-e) | Theme 2: Non-COVID Health Outcomes |
| Jackson et al. (2021) [ | Outdoor Activity Participation Improves Adolescents’ Mental Health and Well-Being during the COVID-19 Pandemic | Theme 2: Non-COVID Health Outcomes |
| Lee et al. (2021) [ | Influence of forest visitors’ perceived restorativeness on social–psychological stress | Theme 2: Non-COVID Health Outcomes |
| Lehberger, Kleih and Sparke (2021) [ | Self-reported well-being and the importance of green spaces—A comparison of garden owners and non-garden owners in times of COVID-19 | Theme 2: Non-COVID Health Outcomes |
| Longman et al. (2021) [ | Time in nature associated with decreased fatigue in UK truck drivers | Theme 2: Non-COVID Health Outcomes |
| Marques et al. (2021) [ | Home gardens can be more important than other urban green infrastructure for mental well-being during COVID-19 pandemics | Theme 2: Non-COVID Health Outcomes |
| Mayen Huerta and Utomo (2021) [ | Evaluating the association between urban green spaces and subjective well-being in Mexico city during the COVID-19 pandemic | Theme 2: Non-COVID Health Outcomes |
| Pearson et al. (2021) [ | Increased use of porch or backyard nature during COVID-19 associated with lower stress and better symptom experience among breast cancer patients | Theme 2: Non-COVID Health Outcomes |
| Rajoo et al. (2021) [ | Addressing psychosocial issues caused by the COVID-19 lockdown: Can urban greeneries help? | Theme 2: Non-COVID Health Outcomes |
| Ribeiro et al. (2021) [ | Exposure to nature and mental health outcomes during COVID-19 lockdown. A comparison between Portugal and Spain | Theme 2: Non-COVID Health Outcomes |
| Rosen et al. (2021) [ | Promoting youth mental health during the COVID-19 pandemic: A longitudinal study | Theme 2: Non-COVID Health Outcomes |
| Soga et al. (2020) [ | A room with a green view: the importance of nearby nature for mental health during the COVID-19 pandemic | Theme 2: Non-COVID Health Outcomes |
Methodological details for theme 1 studies.
| Study | Geographic Extent | Unit of Analysis | Methods | Outcome Variable | Explanatory Variables | Detailed Findings | Proposed Mechanism |
|---|---|---|---|---|---|---|---|
| Casa Nova et al. (2021) [ | Portugal | Districts | Detrended cross-correlation analysis | Daily new COVID-19 cases | Mobility indices | Mobility in general is positively correlated with new COVID-19 cases, but with a lag of 7–8 days. Parks show a more consistent and lower correlation compared to other forms of mobility. | Lower impact of park mobility compared to other modes suggested to be result of parks as open spaces with lower capacity for contagion. Note potential interaction with population density. Additionally, suggest that containment measures that closed some types of parks may have led to more congestion in open parks, which might make them more prone to increased transmission. |
| DePhillipo et al. (2021) [ | USA | State | Multivariable linear regression | COVID-19 infection rates | Mobility in each of 6 groups as percent change from baseline | General association between increased mobility and increased COVID-19. When mobility broken into sectors, significant results only for retail and recreation and grocery and pharmacy mobility categories. | Parks not specifically discussed. |
| Johnson et al. (2021) [ | England | Local government administrative areas | Generalized additive model | Daily COVID-19 case rates | Park use relative to other measures of mobility, population density, population clustering, poor health, population over 70, unemployed percent, green space patchiness, green space availability | Mobility was the most significant predictor of case rates, but park use as share of overall mobility associated with decreased case rates. Park use had more effect when patchiness and amount of green space were low. | The positive impact of park mobility is tied to the extent that time spent in parks replaces time spent in riskier areas. Lower movement is better overall, but parks are suggested as safer option if mobility is required. |
| Kartal, Depren, and Depren (2021) [ | Turkey | Country | Toda-Yamamoto causality test | Daily number of patients, daily deaths | Walking and driving mobility (Apple data), destination-based mobility (Google). | Causal relationship identified between park mobility and deaths, but not patients. | General discussion of mobility as tied to transmission, but no park-specific mechanism was discussed. |
| Noland (2021) [ | USA | State | Log-linear models | COVID-19 effective reproduction rate | Destination-based mobility metrics | Positive correlation between all mobility categories except residential and reproductive rate | Park-based mobility has the weakest relationship (smallest coefficient) of all mobility categories, which authors suggest indicates less viral spread at parks compared to other destinations |
| Praharaj and Han (2021) [ | India | State | Poisson log-linear model | COVID-19 cases | Destination-based mobility metrics | No significant relationship between park mobility and COVID-19 cases | |
| Tyrovolas et al. (2021) [ | Global, with regional analyses for Latin America, Africa, the Caribbean | Country | Negative binomial mixed model | Daily new COVID-19 cases | Countries’ preparedness in epidemics (INFORM index), COVID-19 testing policy, COVID-19 type of transmission for each country through time, populations’ real-time mobility patterns, their interaction with each level of government control policy, and the country’s income level | Park mobility interacted with government control measures—it exhibited a negative relationship to daily cases overall, but a positive relationship where control measures were in place. This held at the regional level for Latin America and the Caribbean, but not Africa | Individual behavior, dynamic network, and seasonality may be factors, but no discussion offered specifically for parks |