Disparities in COVID-19 incidence and fatality rates at high-altitude

被引:2
作者
Abbasi, Bilal Ahmed [1 ]
Chanana, Neha [1 ]
Palmo, Tsering [1 ]
Pasha, Qadar [1 ,2 ]
机构
[1] CSIR Inst Genom & Integrat Biol, Genom & Mol Med, Delhi, India
[2] Inst Hypoxia Res, New Delhi, India
关键词
COVID-19; High-altitude; Risk; Protection; Cofactors; Comorbidities; CORONAVIRUS DISEASE 2019; OUTBREAK; TIBETAN;
D O I
10.7717/peerj.14473
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background. SARS-CoV-2 has affected every demography disproportionately, in-cluding even the native highland populations. Hypobaric-hypoxic settings at high -altitude (HA, >2,500 masl) present an extreme environment that impacts the survival of permanent residents, possibly including SARS-CoV-2. Conflicting hypotheses have been presented for COVID-19 incidence and fatality at HA. Objectives. To evaluate protection or risk against COVID-19 incidence and fatality in humans under hypobaric-hypoxic environment of high-altitude (>2,501 masl). Methods. Global COVID-19 data of March 2020-21, employed from official websites of the Indian Government, John Hopkins University, and Worldometer were clustered into 6 altitude categories. Clinical cofactors and comorbidities data were evaluated with COVID-19 incidence and fatality. Extensive comparisons and correlations using several statistical tools estimated the risk and protection. Results. Of relevance, data analyses revealed four distinct responses, namely, partial risk, total risk, partial protection, and total protection from COVID-19 at high-altitude indicating a mixed baggage and complexity of the infection. Surprisingly, it included the countries within the same geographic region. Moreover, body mass index, hypertension, and diabetes correlated significantly with COVID-19 incidence and fatality rate (P <= 0.05). Conclusions. Varied patterns of protection and risk against COVID-19 incidence and fatality were observed among the high-altitude populations. It is though premature to generalize COVID-19 effects on any particular demography without further extensive studies.
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页数:16
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