Professor, Department of Neurology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Assistant Professor, Department of Neurology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Indian J Public Health. 2022 Apr-Jun;66(2):187-189. doi: 10.4103/ijph.ijph_1553_21.
The second wave of SARS-CoV-2 infection came as a hypoxic emergency and situation became worse in rural India, where undiagnosed COVID-19 patients died without any diagnosis or intervention. The primary aim of this innovative model was the early diagnosis of suspected SARS-CoV-2 cases, providing empirical treatment and timely referral to appropriate COVID care facilities. Fever was measured with infrared thermometer and oxygen saturation level with pulse oximeter. A total of 8203 people were screened, of which 274 persons were febrile and 69 (25%) were hypoxic too. Sixty-four out of 69 (93%) patients turned COVID-19 positive on reverse transcription-polymerase chain reaction. At the end of 3 weeks, 48/64 (75%) patients were successfully discharged. This model can be easily implemented in resource-limited regions to identify and prioritize the patients not only in this pandemic but also in outbreak of other communicable diseases.
第二波 SARS-CoV-2 感染是一种低氧紧急情况，在印度农村地区情况变得更糟，那里未确诊的 COVID-19 患者在没有任何诊断或干预的情况下死亡。这种创新模式的主要目的是早期诊断疑似 SARS-CoV-2 病例，提供经验性治疗，并及时转介到适当的 COVID 护理设施。使用红外体温计测量体温，使用脉搏血氧计测量血氧饱和度。共筛查了 8203 人，其中 274 人发热，69 人（25%）也缺氧。在 69 名缺氧患者中，有 64 名（93%）经逆转录-聚合酶链反应检测 COVID-19 呈阳性。在 3 周结束时，64 名患者中有 48 名（75%）成功出院。这种模式可以在资源有限的地区轻松实施，不仅可以在此次大流行中，而且可以在其他传染病爆发时识别和优先考虑患者。
