New research shows transmission of the virus behind COVID-19 varies seasonally, but warmer conditions are not enough to prevent transmission.
The study, led by Imperial College London researchers and published today in Proceedings of the National Academy of Sciences, is the first to incorporate environmental data into epidemiological models of the transmission of SARS-CoV-2, the virus behind COVID-19.
The team show that temperature and population density are the most important factors determining how easily the virus spreads, but only in the absence of mobility-restricting measures, such as lockdowns.
First author of the study Dr. Tom Smith, from the Department of Life Sciences at Imperial, said: “Our results show that temperature changes have a much smaller effect on transmission than policy interventions, so while people remain unvaccinated, governments mustn’t drop policies like lockdowns and social distancing just because a seasonal change means the weather is warming up.
“However, our work also suggests that lower autumn and winter temperatures may lead to the virus spreading more easily in the absence of policy interventions or behavioral changes.”
Quantifying seasonal variation
Seasonal variation has been a source of uncertainty in forecasts of SARS-CoV-2 transmission. Other viruses, like flu viruses and other coronaviruses, are known to be affected by environmental factors. For example, high temperatures and low humidity reduce the transmission of respiratory droplets, preventing the spread of flu. High temperatures are also known to inactivate other coronaviruses in the air and on surfaces.
However, quantifying the effects of environmental factors including temperature, humidity, and UV radiation (sunshine) on SARS-CoV-2 transmission has been difficult during the pandemic, since human factors like population density and behavior have been the main drivers of transmission.
The differences in interventions and case-counting between countries and regions also makes comparing environmental factors on a global scale difficult, especially as some countries, like Brazil, India and Iran, have high transmission despite having warmer climates.
As a result, few epidemiological models have included environmental data, and those that do assume the response of SARS-CoV-2 is identical to other coronaviruses, as there is a lack of SARS-CoV-2-specific data.
To fill this gap, the team, from the Departments of Life Sciences and Mathematics at Imperial, as well as Imperial’s MRC Center for Global Infectious Disease Analysis, and Utah State University, compared transmission across the U.S.. The country has a large range of climates with comparable policies and case numbers, allowing the impact of environmental factors to be teased out.
They found strong evidence that lower temperature and higher population density are both associated with higher SARS-CoV-2 transmission.
Policy and behavior
Lead researcher Dr. Will Pearse, from the Department of Life Sciences at Imperial, said: “While temperature and population density do influence SARS-CoV-2 transmission, our findings re-confirm that the most important drivers are public policy and individual behavior. For example, during lockdowns, there was no meaningful signature of temperature influencing transmission.
“This means, for example, that warmer regions should not expect to ease mobility restrictions before colder regions. This is especially true as warmer regions tend to have higher population densities—for example, the population in Florida is more densely packed than in Minnesota.”
The researchers are now extending their study to new variants, and say their environmental results should be incorporated into future forecasts to enhance predictions of disease spread.
Study co-author Dr. Ilaria Dorigatti, from the MRC Center for Global Infectious Disease Analysis at Imperial, said: “We found evidence that, in the early phases of the pandemic, places with colder temperatures were associated with higher SARS-CoV-2 transmission intensities. However, the effect of climatic seasonality on SARS-CoV-2 transmission is weaker than the effect of population density and in turn, of policy interventions.
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