Saadat Ayesha, Zubair Rooja, Siddiqui Urooba Inam, Mughal Sanila
Karachi Medical and Dental College, Karachi, Pakistan.
Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Front Public Health. 2025 Jun 5;13:1469486. doi: 10.3389/fpubh.2025.1469486. eCollection 2025.
The study examines the impact of population density, air pollution, and temperature on heat stroke cases in Karachi, focusing on stroke-related mortality from 2010 to 2024. It develops an intelligent system for adaptive forecasting, incorporating population increase, air quality, meteorological activity, and mortality data, presenting urban vulnerability to health crises. A Pearson correlation analysis was used to determine the association between these factors, which makes it possible to present urban vulnerability to health crises from various angles that are systematically relevant and interdependent at the same time. This study is unique because it takes an integrated approach, relating urban stressors and climate conditions to public health outcomes in Karachi, a context that has been neglected in previous studies.
该研究考察了人口密度、空气污染和温度对卡拉奇中暑病例的影响,重点关注2010年至2024年与中风相关的死亡率。它开发了一个用于自适应预测的智能系统,纳入了人口增长、空气质量、气象活动和死亡率数据,呈现了城市对健康危机的脆弱性。使用皮尔逊相关分析来确定这些因素之间的关联,这使得能够从同时具有系统相关性和相互依赖性的多个角度呈现城市对健康危机的脆弱性。这项研究具有独特性,因为它采用了综合方法,将城市压力源和气候条件与卡拉奇的公共卫生结果联系起来,而这一背景在以往的研究中被忽视了。