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. 2022 Oct 13;12(1):17179.
doi: 10.1038/s41598-022-20516-w.

A comparative analysis of SARS-CoV-2 viral load across different altitudes

Collaborators, Affiliations

A comparative analysis of SARS-CoV-2 viral load across different altitudes

Esteban Ortiz-Prado et al. Sci Rep. .

Abstract

SARS-CoV-2 has spread throughout the world, including areas located at high or very high altitudes. There is a debate about the role of high altitude hypoxia on viral transmission, incidence, and COVID-19 related mortality. This is the first comparison of SARS-CoV-2 viral load across elevations ranging from 0 to 4300 m. To describe the SARS-CoV-2 viral load across samples coming from 62 cities located at low, moderate, high, and very high altitudes in Ecuador. An observational analysis of viral loads among nasopharyngeal swap samples coming from a cohort of 4929 patients with a RT-qPCR test positive for SARS-CoV-2. The relationship between high and low altitude only considering our sample of 4929 persons is equal in both cases and not significative (p-value 0.19). In the case of low altitude, adding the sex variable to the analysis, it was possible to find a significative difference between men and women (p-value < 0.05). Considering initially sex and then altitude, it was possible to find a significative difference between high and low altitude for men (p-value 0.05). There is not enough evidence to state that viral load is affected directly by altitude range but adding a new variable as sex in the analysis shows that the presence of new variables influences the relationship of altitude range and viral load. There is no evidence that viral loads (Ct and copies/ml) differ at low or high altitude. Using sex as a co-factor, we found that men have higher viral loads than women at low and moderate altitude locations, while living at high altitude, no differences were found. When Ct values were aggregated by low, moderate, and high viral load, we found no significant differences when sex was excluded from the analysis. We conclude that viral load is not directly affected by altitude, but COVID-19 incidence and mortality are rather affected by socio-demographic and idiosyncratic dynamics.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Topographic map of Ecuador including elevation scale (Map created by the authors using ArcGIS Version 10.3).
Figure 2
Figure 2
Age and sex distribution per Altitude ranges among SARS-CoV-2 RT-qPCR positive test from 4929 patients. Panel A: Low (< 2500 m) and High altitude classification (> 2500 m). Panel B: Low altitude (< 1500 m), Moderate altitude (1500 to 2500 m), High a.
Figure 3
Figure 3
Box plot of viral load composition across altitude and sex of SARS-CoV-2 test positivity among 4929 tested people.
Figure 4
Figure 4
Box plot of viral load (measured as Ct) at low and high altitude due to SARS-CoV-2 infection within 4929 test that resulted positive.
Figure 5
Figure 5
Box plot of viral load composition across altitude range of SARS-CoV-2 test positivity among 4929 tested people.
Figure 6
Figure 6
Box plot of viral load composition across altitude range of SARS-CoV-2 test positivity among 4929 tested people by sex.
Figure 7
Figure 7
Box plot of Ct composition across altitude range of SARS-CoV-2 test positivity among 4929 positive patients.
Figure 8
Figure 8
Box plot of viral load composition across age groups and altitude ranges from a sample of 4929 patients with a positive RT-qPCR positive test for SARS-CoV-2 infection.
Figure 9
Figure 9
Viral load comparison among elevation groups.

References

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