Een eerste paper die ik heb gevonden:
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3551767
Using the daily R values from January 21 to 23, 2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework for 100 Chinese cities, high temperature and high relative humidity significantly reduce the transmission of COVID-19, respectively, even after controlling for population density and GDP per capita of cities. One degree Celsius increase in temperature and one percent increase in relative humidity lower R by 0.0383 and 0.0224, respectively.
(als referee zou ik hier opmerken dat RH en T niet onafhankelijk zijn en dat men beter de absolute luchtvochtigheid (dampdruk) had bekeken)