A joint research group of Nagoya Institute of Technology, Tohoku University Cyber Science Center, and Tokyo Denki University has integrated meteorological data and computational simulation technology to reduce the number of heat stroke carriers per day in Tokyo, Osaka, Aichi, and Miyagi prefectures. predict.Compared with the measured values, the effect of corona damage on the number of heat stroke carriers in 2020 was considered.
The number of patients with heat stroke and the number of transporters are related to the influence of the weather, people's accustomed to the heat, etc., and a simple comparison with past data makes it unclear whether the influence of the corona or the weather. ..This time, the effect of the weather was removed and compared using the heat stroke carrier number prediction technique based on the weather information, and the predicted value considering the vital dynamics was also shown.
In Osaka, Aichi, and Miyagi prefectures, the percentage of people who stayed indoors was high due to the influence of stay homes, but the number of heat stroke carriers from indoors was the same as usual.It is estimated that about 7% of indoor carriers are elderly and were not affected by the stay home.In addition, the number of transporters from the outdoors will decrease due to the stay home during the Obon festival.At other times, there was no change in the number of indoor and outdoor carriers.It is suggested that even if the vitality changed due to the corona sickness, there was no effect because the same work consumed a lot of energy and the body temperature was likely to rise due to the delay in heat acclimation and the decrease in physical strength due to the stay home. Will be done.
On the other hand, in Tokyo, both indoors and outdoors are on the rise.In particular, the number of indoor carriers during the Obon period greatly exceeded the predicted value.In addition to not being able to fully consider sudden changes in temperature in the estimation formula, it is possible that there are multiple effects such as refraining from returning home due to corona damage and a decrease in physical strength due to stay home.
In the future, it is expected to be used for educational activities to reduce the risk of heat stroke and for estimating the number of patients to be transported by emergency.
