Melgoza Esmeralda, Beltrán-Sánchez Hiram, Vargas Bustamante Arturo
Jonathan and Karin Fielding School of Public Health, University of California-Los Angeles (UCLA), Los Angeles, CaliforniaUSA.
California Center for Population Research, University of California-Los Angeles (UCLA), Los Angeles, CaliforniaUSA.
Prehosp Disaster Med. 2023 Feb;38(1):73-80. doi: 10.1017/S1049023X22002230. Epub 2022 Nov 28.
The coronavirus disease 2019 (COVID-19) pandemic had detrimental impacts across multiple sectors of the Mexican health care system. The prehospital care system, however, remains largely under-studied. The first objective of this study was to calculate the monthly per capita rates of injury-related 9-1-1 calls, traffic accidents, and crime at the state-level (Mexico City) during the early pandemic period (January 1 through June 30, 2020), while the second objective was to conduct these calculations at the borough-level for the same outcomes and time period. The third objective was to compare monthly per capita rates of injury-related 9-1-1 calls, traffic accidents, and crime at the state-level (Mexico City) during the pre-pandemic (January 1 through June 30, 2019), early pandemic (January 1 through June 30, 2020), and later pandemic periods (January 1 through June 30, 2021).
A retrospective analysis was conducted to examine injury-related 9-1-1 calls, traffic accidents, and crime at the state-level (Mexico City) and borough-levels. Monthly per capita rates were calculated using four datasets, including Mexico City's Public Release 9-1-1 Emergency Calls, National Institute of Statistics and Geography's (INEGI) Traffic Accidents Micro-Dataset, Mexico City's Attorney General's Office Crime Dataset, and Projections of the Population of the Municipalities of Mexico, 2015 to 2030. All statistical analyses were conducted using STATA 17.0.
During the early pandemic period, injury-related 9-1-1 emergency calls, traffic accidents, and crime experienced similar trends in monthly per capita rates at the state-level and borough-levels. While the monthly per capita rates remained constant from January to March 2020, starting in March, there was a precipitous decrease across all three outcomes, although decline rates varied across boroughs. The monthly per capita rates across the three outcomes were higher during the pre-pandemic period compared to the early pandemic period. As the COVID-19 pandemic progressed, the monthly per capita rates during the later pandemic period increased across the three outcomes compared to the early pandemic period, although they did not reach pre-pandemic levels during the study period.
The precipitous decline in injury-related 9-1-1 calls, traffic accidents, and crime in Mexico City occurred at the same time as the issuance of the first wave of public health orders in March 2020. The largest decrease across the three outcomes occurred one to two months post-issuance of the orders.
2019年冠状病毒病(COVID-19)大流行对墨西哥医疗系统的多个部门产生了不利影响。然而,院前护理系统在很大程度上仍未得到充分研究。本研究的第一个目标是计算大流行早期(2020年1月1日至6月30日)墨西哥城州级层面与伤害相关的911呼叫、交通事故和犯罪的每月人均发生率,第二个目标是在相同时间段内针对相同结果在行政区层面进行这些计算。第三个目标是比较大流行前(2019年1月1日至6月30日)、大流行早期(2020年1月1日至6月30日)和大流行后期(2021年1月1日至6月30日)墨西哥城州级层面与伤害相关的911呼叫、交通事故和犯罪的每月人均发生率。
进行了一项回顾性分析,以研究墨西哥城州级和行政区层面与伤害相关的911呼叫、交通事故和犯罪情况。使用四个数据集计算每月人均发生率,包括墨西哥城公开的911紧急呼叫数据、国家统计和地理研究所(INEGI)的交通事故微观数据集、墨西哥城总检察长办公室犯罪数据集以及2015年至2030年墨西哥市人口预测数据。所有统计分析均使用STATA 17.0进行。
在大流行早期,墨西哥城州级和行政区层面与伤害相关的911紧急呼叫、交通事故和犯罪的每月人均发生率呈现相似趋势。2020年1月至3月每月人均发生率保持不变,但从3月开始,所有三项指标均急剧下降,不过各行政区的下降速度有所不同。与大流行早期相比,大流行前这三项指标的每月人均发生率更高。随着COVID-19大流行的发展,与大流行早期相比,大流行后期这三项指标的每月人均发生率有所上升,尽管在研究期间未达到大流行前的水平。
墨西哥城与伤害相关的911呼叫、交通事故和犯罪的急剧下降与2020年3月发布的第一波公共卫生命令同时发生。这三项指标的最大降幅出现在命令发布后的一到两个月。