Will Coronavirus Pandemic Diminish by Summer?

15 Pages Posted: 19 Mar 2020 Last revised: 18 Apr 2020

See all articles by Qasim Bukhari

Qasim Bukhari

Massachusetts Institute of Technology (MIT) - McGovern Institute for Brain Research

Yusuf Jameel

Massachusetts Institute of Technology - Department of Civil and Environmental Engineering

Date Written: March 17, 2020


The novel coronavirus (2019-nCoV) has spread rapidly to multiple countries and has been declared a pandemic by the World Health Organization. While influenza virus has been shown to be affected by weather, it is unknown if COVID19 is similarly affected. In this work, we analyze the patterns in local weather of the regions affected by 2019-nCoV virus until March 22, 2020. So far, 83% of testing have been conducted in non-tropical countries (30N and above) and 90% of the 2019-nCoV cases have been recorded in the same countries within a temperature range of 3 to 17C. Similarly, ~72% of the measurements were done in countries with humidity between 3 and 9g/m3 and 90% of the cases were observed within the same range of absolute humidity (AH). The higher number of tests and global connectivity of the northern-cooler countries may explain the difference in number of confirmed 2019-nCoV cases between cooler and warmer-humid regions. Nonetheless, several countries between 30N and 30S such as Australia, UAE, Qatar, Singapore, Bahrain, Qatar and Taiwan have performed extensive testing per capita and the number of positive 2019-nCoV cases per capita are lower in these countries compared to several European countries and the US. Therefore, even though currently available data is skewed by minimal testing per capita in many tropical countries, it is possible that weather plays a role in the spread of 2019-nCoV which warrants an investigation. In the last 10 days, thousands of new cases have been documented in regions with T >18C suggesting that the role of warmer temperature in slowing the spread of the 2019-nCoV, as suggested earlier might only be observed, if at all, at much higher temperatures. Unlike temperature, however, the range of AH across which most of the cases have been documented has consistently been between 3 and 9g/m3‚Äč. Current data, although limited, suggests that it is extremely unlikely that the spread of 2019-nCoV would slow down in the USA or Europe, due to environmental factors, because a large number of cases have already been reported in the range of AH and T experienced by these regions for most part of the year. Given previous associations between viral transmission and humidity and the range of AH across which the majority of the 2019-nCoV cases have been observed till date, the role of absolute humidity merits further investigation with laboratory experiments studying the sensitivity of 2019-nCoV across a range of temperature and humidity conditions. On the other hand, if, new cases in April and May continue to cluster within the current observed range of AH i.e. 3 to 9g/m3, then the countries experiencing monsoon, i.e. having high absolute humidity (>10 g/m3) could see a slowdown in transmissions, due to climatic factors. The data analyzed here are rapidly changing and with several unknowns including how the virus is mutating and evolving, what are the reproductive numbers and the dominant way of spreading. If 2019-nCOV is indeed sensitive to environmental factors, then it could be used to optimize the 2019-nCoV mitigation strategies. Our results in no way suggest that 2019-nCoV would not spread in warm humid regions and effective public health interventions should be implemented across the world to slow down the transmission of 2019-nCoV.

Note: Funding: This work is supported by Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic)

Conflict of Interest: None.

The abstract has been edited on March 26, 2020.

Keywords: coronavirus, 2019-nCoV, weather, influenza, COVID19

Suggested Citation

Bukhari, Qasim and Jameel, Yusuf, Will Coronavirus Pandemic Diminish by Summer? (March 17, 2020). Available at SSRN: https://ssrn.com/abstract=3556998 or http://dx.doi.org/10.2139/ssrn.3556998

Qasim Bukhari (Contact Author)

Massachusetts Institute of Technology (MIT) - McGovern Institute for Brain Research ( email )

Cambridge, MA
United States

Yusuf Jameel

Massachusetts Institute of Technology - Department of Civil and Environmental Engineering ( email )

Apartment J2
Cambridge, MA
United States

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