Implications of Monsoon Season & UVB Radiation for COVID-19 in India
Summary (2 min read)
1 Introduction
- The authors empirically describe the roles of the monsoon season and further explore, whether monsoon season result in a reduction in the protective role of UVB in COVID-19 deaths in India.
- After controlling for various confounding factors, the authors observe that in the long run the monsoon season and a unit increase in UVI are separately associated with.
Radiation & COVID-19 Deaths in India
- Studies indicate that the monsoon season and post-monsoon season may be associated with the peaks of contagious diseases like influenza, i.e., July-September 11, 15, 16 .
- Even in a country like India with plenty of sunshine, vitamin D deficiency is common due to reduced skin exposure and specific dietary habits such as vegetarianism 27 .
- In light of this emerging evidence regarding vitamin D and COVID-19, the authors aim to explore the role of monsoon season as well as how it potentially decreases the protective role of UVB in reducing COVID-19 deaths by reducing the likelihood of exposure to UVB radiation.
3.1 Description of Data
- In order to identify the relation of monsoon season, UVI and their interaction with COVID-19 deaths, the authors constructed the dataset outlined in Table 1 . 34 of these administrative regions reported more than 20 COVID-19 infections on 8 August 2020.
- Furthermore, the authors drop the first 20 daily observations of every administrative region after the reporting of the first COVID-19 infection in respective regions.
- Thus, the authors ensure that these observations at the very early stage of the outbreak do not bias the results.
- They also consist of the time of arrival of monsoon season for each administrative region, the daily ultraviolet index (UVI), an indicator of daily UVB radiation, as well as a set of daily weather parameters.
- Net based on the latitude and longitude information of countries that are provided by Geocoder, a geocoding library in Python.
3.2 Description of Methodology
- The authors model aims to isolate all weather parameters from region-specific time-constant factors.
- The Mundlak model combines the robustness of a fixed-effects model and the efficiency of a random-effects model.
- Instead of demeaning the structural model to isolate the weather parameters analytically from such region-specific time-constant factors, it models those region-specific time-constant factors through the available weather parameters.
- The authors describe their methodology and how to interpret the estimated associations in more detail in Supplementary Material section 1 and section 2.
4 Results
- The copyright holder for this this version posted September 25, 2020.
- The robustness checks in Table S1 (Supplementary Material) outline that their estimations are consistent when using more flexible time trends as well as to the impact of governmental measures on the behaviour of individuals.
5 Discussion
- The authors also acknowledge that the results of their study cannot serve as health guidance for India.
- The authors hope their results prompt further clinical research in India specifically to establish the role of sensible sunlight exposure or vitamin D in mitigating COVID-19 deaths during monsoon season.
- Establishing the effectiveness of sensible solar UVB exposure or vitamin D supplementation could substantially advance the control of COVID-19 pandemic at scale in India.
- The results of these clinical studies can further guide policy decision making in India, especially during monsoon season.
- This type of policy intervention would be desirable for India not only due to its lower risk and costs, but also due to its scalability across India's 1.3 billion people whose economic means vary significantly.
8 Author Contributions
- RKM conceptualized the research idea, conducted literature research, designed theoretical framework and collected COVID-19 and weather data.
- LK designed empirical methods and analyzed the data.
- RKM and LK interpreted the results and wrote the article.
Did you find this useful? Give us your feedback
References
4 citations
2 citations
2 citations
Related Papers (5)
Frequently Asked Questions (10)
Q2. What is the role of UVB in reducing COVID-19 deaths?
Sensible sunlight exposure9 is crucial as disproportionate solar UV exposure leads to health hazards such as aging44, wrinkles44, sunburn26 and DNA damage44.
Q3. How many days did the authors collect COVID-19 data?
The authors collected COVID-19 data across 36 administrative regions (28 states and 8 union territories) of India covering 148 days from 14 March 2020 until 8 August 2020.
Q4. What is the effect of monsoon season on UVI?
In the long run, Indian monsoon season further reduces the protective role of UVI by 1.3 percentage points, potentially due to lower UVB exposure as a result of decreased outdoor activities.
Q5. What is the effect of the UVI index on COVID-19 deaths?
Apermanent unit increase of UVI is associated with a decline in COVID-19 growth rates of 37% (= −0.02/0.054) as relative to the average daily growth rates of COVID-19 deaths.
Q6. What is the effect of the monsoon season on COVID-19 deaths?
monsoon season mitigates the association of UVI by 1.3 percentage points [p<0.05] and thus alleviates the protective role of UVI.
Q7. How does the model estimate COVID-19 deaths?
Within two weeks of the arrival, monsoon season is associated with a reduction of COVID-19 growth rates of 59% (= −0.128 ∙ 1456 /0.054) relative to the average daily growth rates of COVID-19 deaths.
Q8. How does the model interpret COVID-19 deaths?
A permanent unit increase of UVI is associated with a decline of 2 percentage points [p<0.05] in daily growth rates of COVID-19 deaths.
Q9. What are the main variables used to determine the effect of COVID-19?
The authors use these weather parameters as control variables, and these parameters include cloud index, ozone level, visibility level, humidity level, minimum and maximum temperature.
Q10. How many days of the year are the dummy variables used?
The authors include 56 days moving average of the monsoon season dummy variables, which indicate whether the monsoon season has been active in a region on a specific day.