Human movement is a significant factor in extensive spatial-transmission models of contagious viruses. The proposed COUNTERACT system recognizes infectious sites by retrieving location data from a mobile phone device linked with a particular infected subject. The proposed approach is computing an incubation phase for the subject's infection, backpropagation through the subjects’ location data to investigate a location where the subject has been during the incubation period. Classifying to each such site as a contagious site, informing exposed suspects who have been to the contagious location, and seeking near real-time or real-time feedback from suspects to affirm, discard, or improve the recognition of the infectious site. This technique is based on the contraption to gather confirmed infected subject and possibly carrier suspect area location, correlating location for the incubation days. Security and privacy are a specific thing in the present research, and the system is used only through authentication and authorization. The proposed approach is for healthcare officials primarily. It is different from other existing systems where all the subjects have to install the application. The cell phone associated with the global positioning system (GPS) location data is collected from the COVID-19 subjects.

人类活动是传染性病毒广泛空间传播模型的一个重要因素。拟议的 COUNTERACT 系统通过从与特定感染者关联的移动电话设备检索位置数据来识别感染地点。所提出的方法是计算受试者感染的潜伏期，通过受试者的位置数据进行反向传播以调查受试者在潜伏期内所处的位置。将每个此类站点分类为传染性站点，通知去过传染性位置的暴露嫌疑人，并寻求嫌疑人近乎实时或实时的反馈，以确认、丢弃或提高对传染性站点的识别。该技术基于收集已确认的感染对象和可能的携带者可疑区域位置的装置，并将其与孵化天数的位置相关联。安全和隐私是目前研究中的一个具体问题，系统只能通过身份验证和授权来使用。拟议的方法主要适用于医疗保健官员。它与所有受试者都必须安装应用程序的其他现有系统不同。与全球定位系统 (GPS) 位置数据相关的手机是从 COVID-19 受试者收集的。