Objective : The aims of this study were to evaluate the relationship between Nichijo-seikastu-kino-hyoka (NSKH) scores, factors that influenced these scores, and discharge destinations of the patients with motor system disorders who were treated at a Kaifukuki rehabilitation ward.
Methods : The NSKH scores of 184 patients with motor system disorders who were treated in a Kaifukuki rehabilitation ward were evaluated on admission and at the time of discharge.
Results : The subjects whose NSKH scores on admission were three or less were all discharged to their homes. The scores at discharge improved to 0 in more than 50% of the subjects, but the difference in their discharge destinations, depending on their score, was not clear. Multiple logistic regressions were performed to evaluate factors that influenced the scores when the discharge destination was not to their home, which revealed that the number of family members (OR=0.428, 95% CI 0.229-0.797), and NSKH scores at discharge (OR=1.340, 95% CI 1.046-1.716) were influencing factors.
Conclusion : The results of this study suggest that the subjects whose NSKH score on admission was three or less were more likely to be discharged to their homes thereby indicating that their discharge destinations were predictable. The factors influencing their discharge destinations were the NSKH scores at the time of discharge and the number of family members.

In 2021, the National Institute of Infectious Diseases, Japan, undertook enhanced event-based surveillance (EBS) for infectious diseases occurring overseas that have potential for importation (excluding coronavirus disease 2019 [COVID-19]) for the Tokyo 2020 Olympic and Paralympic Summer Games (the Games). The pre-existing EBS system was enhanced using the World Health Organization Epidemic Intelligence from Open Sources system and the BlueDot Epidemic Intelligence platform. The enhanced EBS before and during the Games did not detect any major public health event that would warrant action for the Games. However, information from multiple sources helped us identify events, characterize risk and improve confidence in risk assessment. The collaboration also reduced the surveillance workload of the host country, while ensuring the quality of surveillance, even during the COVID-19 pandemic.

The establishment of enhanced surveillance systems for mass gatherings to detect infectious diseases that may be imported during an event is recommended. The World Health Organization Regional Office for the Western Pacific contributed to enhanced event-based surveillance for the Tokyo 2020 Olympic and Paralympic Games (the Games) by using Epidemic Intelligence from Open Sources (EIOS) to detect potential imported diseases and report them to the National Institute of Infectious Diseases (NIID), Japan. Daily screening of media articles on global infectious diseases was conducted using EIOS, which were systematically assessed to determine the likelihood of disease importation, spread and significant impact to Japan during the Games. Over 81 days of surveillance, 103 830 articles were screened by EIOS, of which 5441 (5.2%) met the selection criteria for initial assessment, with 587 (0.6%) assessed as signals and reported to NIID. None of the signals were considered to pose a significant risk to the Games based on three risk assessment criteria. While EIOS successfully captured media articles on infectious diseases with a likelihood of importation to and spread in Japan, a significant manual effort was required to assess the articles for duplicates and against the risk assessment criteria. Continued improvement of artificial intelligence is recommended to reduce this effort.