TY - JOUR AU - Ali, Shahmir H AU - Imbruce, Valerie M AU - Russo, Rienna G AU - Kaplan, Samuel AU - Stevenson, Kaye AU - Mezzacca, Tamar Adjoian AU - Foster, Victoria AU - Radee, Ashley AU - Chong, Stella AU - Tsui, Felice AU - Kranick, Julie AU - Yi, Stella S PY - 2021 DA - 201/2/18 TI -评估COVID-19大流行期间新鲜水果和蔬菜供应商的关闭情况:方法和初步结果使用全向街景影像乔- Res JMIR形式SP - e23870六世- 5 - 2 KW -建筑环境KW -谷歌街景KW -食品零售环境KW - COVID-19 KW -地理监视KW -食品KW -纵向KW -供应链KW -经济KW -需求KW -服务KW -供应商KW -监视AB -背景:COVID-19大流行大大破坏了食品零售环境。然而，它对新鲜水果和蔬菜商贩的影响尚不清楚;这些国家往往规模较小，更以社区为中心，可能缺乏金融基础设施来承受此类危机引发的供求变化。目的:本研究记录了在COVID-19大流行开始后，使用谷歌街景、新的Apple Look Around数据库和亲自检查来评估纽约市新鲜水果和蔬菜供应商关闭的方法。方法:共选取6个纽约市社区(位于曼哈顿和布鲁克林)进行分析;其中包括两个社会经济优势社区(上东区，公园坡)，两个社会经济劣势社区(东哈莱姆，布朗斯维尔)，以及两个华人社区(唐人街，日落公园)。对于每个社区，谷歌街景用于虚拟行走每条街道，并识别2019年开放且活跃的供应商(商店、店面、街头小贩或批发商)(即生产人员和供应商人员都出现在某个位置)。过去的供应商监视(可用时)用于指导这些虚拟行走。每个确定的供应商都被标记为一个谷歌地图点，然后研究助理们实际访问。 Using the “notes” feature of Google Maps as a data collection tool, notes were made on which of three categories best described each vendor: (1) open, (2) open with a more limited setup (eg, certain sections of the vendor unit that were open and active in 2019 were missing or closed during in-person checks), or (3) closed/absent. Results: Of the 135 open vendors identified in 2019 imagery data, 35% (n=47) were absent/closed and 10% (n=13) were open with more limited setups following the beginning of the COVID-19 pandemic. When comparing boroughs, 35% (28/80) of vendors in Manhattan were absent/closed, as were 35% (19/55) of vendors in Brooklyn. Although Google Street View was able to provide 2019 street view imagery data for most neighborhoods, Apple Look Around was required for 2019 imagery data for some areas of Park Slope. Past surveillance data helped to identify 3 additional established vendors in Chinatown that had been missed in street view imagery. The Google Maps “notes” feature was used by multiple research assistants simultaneously to rapidly collect observational data on mobile devices. Conclusions: The methodology employed enabled the identification of closures in the fresh fruit and vegetable retail environment and can be used to assess closures in other contexts. The use of past baseline surveillance data to aid vendor identification was valuable for identifying vendors that may have been absent or visually obstructed in the street view imagery data. Data collection using Google Maps likewise has the potential to enhance the efficiency of fieldwork in future studies. SN - 2561-326X UR - http://formative.www.mybigtv.com/2021/2/e23870/ UR - https://doi.org/10.2196/23870 UR - http://www.ncbi.nlm.nih.gov/pubmed/33539310 DO - 10.2196/23870 ID - info:doi/10.2196/23870 ER -