Data on location and retail price of a standard food basket in supermarkets across New York City

Crossa, Aldo; Cooperman, Eli; James, Breanna; Ma, Stephen; Baquero, María

doi:10.1016/j.dib.2023.109222

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…32 Surveillance data helped support DOHMH community health workers who rallied to address food insecurity needs, creating new city food security programs such as GetFood-NYC and continuing to support existing initiatives such as Harlem Health Advocacy Partners (HHAP). 30 Having an established surveillance framework to monitor the collateral impacts of the COVID-19 pandemic is a necessary tool for prospective monitoring of trends. Like the system from which it is derived, the current system was designed to minimize additional data collection or labor and maintain surveillance with minimal staff inputs.…”

Section: Discussionmentioning

confidence: 99%

“…In addition to the direct health impacts, there have been myriad economic consequences of the pandemic, including a massive, inequitable increase in food insecurity, demonstrated in NYC Health Opinion Polls (HOPs)30 (data not shown) and other studies 31. The number of SNAP recipients in NYC (see Supplemental Digital Content Figure E, available at http://links.lww.com/JPHMP/B132) increased steeply immediately following stay-at-home order implementation in NYC.…”

Section: Discussionmentioning

confidence: 99%

“…For example, temporary changes to federal SNAP requirements granted states more flexibility to respond to the surge in food insecurity through program modifications including waived interview requirements and extended certification periods 32. Surveillance data helped support DOHMH community health workers who rallied to address food insecurity needs, creating new city food security programs such as GetFoodNYC and continuing to support existing initiatives such as Harlem Health Advocacy Partners (HHAP) 30…”

Section: Discussionmentioning

confidence: 99%

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Collateral Impacts of the COVID-19 Pandemic: The New York City Experience

Davies

Gould

et al. 2023

Journal of Public Health Management and Practice

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Objective: To adapt an existing surveillance system to monitor the collateral impacts of the COVID-19 pandemic on health outcomes in New York City across 6 domains: access to care, chronic disease, sexual/reproductive health, food/economic insecurity, mental/behavioral health, and environmental health. Design: Epidemiologic assessment. Public health surveillance system. Setting: New York City. Participants: New York City residents. Main Outcome Measures: We monitored approximately 30 indicators, compiling data from 2006 to 2022. Sources of data include clinic visits, surveillance surveys, vital statistics, emergency department visits, lead and diabetes registries, Medicaid claims, and public benefit enrollment. Results: We observed disruptions across most indicators including more than 50% decrease in emergency department usage early in the pandemic, which rebounded to prepandemic levels by late 2021, changes in reporting levels of probable anxiety and depression, and worsening birth outcomes for mothers who identified as Asian/Pacific Islander or Black. Data are processed in SAS and analyzed using the R Surveillance package to detect possible inflections. Data are updated monthly to an internal Tableau Dashboard and shared with agency leadership. Conclusions: As the COVID-19 pandemic continues into its third year, public health priorities are returning to addressing non–COVID-19-related diseases and conditions, their collateral impacts, and postpandemic recovery needs. Substantial work is needed to return even to a suboptimal baseline across multiple health topic areas. Our surveillance framework offers a valuable starting place to effectively allocate resources, develop interventions, and issue public communications.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Collateral Impacts of the COVID-19 Pandemic: The New York City Experience

Davies

Gould

et al. 2023

Journal of Public Health Management and Practice

View full text Add to dashboard Cite

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“…Lower food supply availability, volatile food prices, and limited food service accessibility are potential food environment disruptions instigated by the pandemic. In New York City (NYC), one of the US metropolitan areas hardest hit by COVID-19, food insecurity reports stemming from disruptions in food accessibility and prices increased in 2020, disproportionately impacting racial/ethnic minority residents (Crossa et al 2021). These food system vulnerabilities reinforce the need for a food system that is equitable and resilient to unforeseen shocks.…”

Section: Introductionmentioning

confidence: 99%

Neighborhood Food Accessibility and Health Disparity: Examining the Impact of COVID-19 Using Spatial Models

Oh,

Kwon,

Kim

2023

International Regional Science Review

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COVID-19 exacerbated food system vulnerabilities globally. This study assesses the impact of shock events on food accessibility in New York City (NYC) by examining its association with neighborhood characteristics between 2019 and 2020. We model food accessibility using socioeconomic and built environment factors, adjusting for spatial effects with spatial econometric models and geographically weighted regression (GWR). Our spatial modeling methods reveal diverging relationships between minority racial/ethnic groups and food accessibility, as well as a negative change in the effect of income. Overall, our results indicate that food accessibility worsened or polarized during the pandemic, suggesting the need for improved network connectivity and smaller-scale food stores to achieve equitable and resilient food systems.

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Vegetable Sales Forecasting and Pricing Strategy Planning Based on ARIMA Algorithm and Linear Programming Model

Dong,

Hao

2024

2024 4th International Symposium on Computer Technology and Information Science (ISCTIS)

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Data on location and retail price of a standard food basket in supermarkets across New York City

Cited by 3 publications

References 4 publications

Collateral Impacts of the COVID-19 Pandemic: The New York City Experience

Collateral Impacts of the COVID-19 Pandemic: The New York City Experience

Neighborhood Food Accessibility and Health Disparity: Examining the Impact of COVID-19 Using Spatial Models

Vegetable Sales Forecasting and Pricing Strategy Planning Based on ARIMA Algorithm and Linear Programming Model

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