Reduction of influenza in Osaka, Japan during the COVID-19 outbreak: a population-based ORION registry study

Hirose, Tomoya; Katayama, Yusuke; Tanaka, Kenta; Kitamura, Tetsuhisa; Nakao, Shunichiro; Tachino, Jotaro; Nakao, Shota; Nitta, Masahiko; Iwami, Taku; Fujimi, Satoshi; Uejima, Tokuhisa; Miyamoto, Yuji; Baba, Takehiko; Mizobata, Yasumitsu; Kuwagata, Yasuyuki; Shimazu, Takeshi; Matsuoka, Tetsuya

doi:10.1016/j.ijregi.2021.10.002

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…Switzerland had an unprecedented complete absence of pediatric enteroviral meningitis in 2020 [ 60 ]. In Japan, community-acquired pneumonia [ 61 ] and influenza [ 62 ] admissions have reduced during the COVID-19 pandemic. COVID-19 preventative actions and better personal hygiene are beneficial for preventing the spread of the disease.…”

Section: Discussionmentioning

confidence: 99%

Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study

et al. 2022

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Background Coronavirus Disease 2019 (COVID-19) pandemic affects common diseases, but its impact on hand, foot, and mouth disease (HFMD) is unclear. Google Trends data is beneficial for approximate real-time statistics and because of ease in access, is expected to be used for infection explanation from an information-seeking behavior perspective. We aimed to explain HFMD cases before and during COVID-19 using Google Trends. Methods HFMD cases were obtained from the National Institute of Infectious Diseases, and Google search data from 2009 to 2021 in Japan were downloaded from Google Trends. Pearson correlation coefficients were calculated between HFMD cases and the search topic “HFMD” from 2009 to 2021. Japanese tweets containing “HFMD” were retrieved to select search terms for further analysis. Search terms with counts larger than 1000 and belonging to ranges of infection sources, susceptible sites, susceptible populations, symptoms, treatment, preventive measures, and identified diseases were retained. Cross-correlation analyses were conducted to detect lag changes between HFMD cases and search terms before and during the COVID-19 pandemic. Multiple linear regressions with backward elimination processing were used to identify the most significant terms for HFMD explanation. Results HFMD cases and Google search volume peaked around July in most years, excluding 2020 and 2021. The search topic “HFMD” presented strong correlations with HFMD cases, except in 2020 when the COVID-19 outbreak occurred. In addition, the differences in lags for 73 (72.3%) search terms were negative, which might indicate increasing public awareness of HFMD infections during the COVID-19 pandemic. The results of multiple linear regression demonstrated that significant search terms contained the same meanings but expanded informative search content during the COVID-19 pandemic. Conclusions The significant terms for the explanation of HFMD cases before and during COVID-19 were different. Awareness of HFMD infections in Japan may have improved during the COVID-19 pandemic. Continuous monitoring is important to promote public health and prevent resurgence. The public interest reflected in information-seeking behavior can be helpful for public health surveillance.

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Section: Discussionmentioning

confidence: 99%

Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study

et al. 2022

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“…Switzerland had an unprecedented complete absence of pediatric enteroviral meningitis in 2020 (Stoffel et al, 2021). In Japan, community-acquired pneumonia (Yan et al, 2022) and influenza (Hirose et al, 2021) admissions have been reduced during the COVID-19 pandemic. COVID-19 preventative actions and better personal hygiene are beneficial for preventing the spread of disease.…”

Section: Discussionmentioning

confidence: 99%

Explanation of Hand, Foot, and Mouth Disease Cases in Japan Using Google Trends Before and During the COVID-19: Infodemiology Study

Niu

Liu

Onishi

et al. 2022

Preprint

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ObjectivesWe aimed to predict the number of hand, foot, and mouth disease (HFMD) infections before and during the COVID-19 pandemic using Internet search data.MethodsWe obtained actual HFMD cases from the National Institute of Infectious Disease and Internet search data using Google Trends between 2004 and 2021 in Japan. We calculated the Pearson correlation coefficients between actual HFMD cases and the search topic “HFMD” from 2004 to 2021. We conducted a cross-correlation analysis between the actual HFMD cases and 43 HFMD-related search terms before and during the pandemic. We identified the most significant predictors of HFMD infection using stepwise multiple linear regression.ResultsWe found that actual HFMD cases and Internet search volume peaked around July in most years, except for 2020 and 2021. The search topic “HFMD” presented a strong correlation with actual HFMD cases, but the correlation was weaker in 2004, 2008, and 2020. Results from stepwise multiple linear regression exhibited that the search terms “infect,” “daycare,” “vomit,” “HFMD,” “eczema,” “pain,” and “high fever” were the most significant predictors before the pandemic, while “infect,” “enterovirus,” “herpangina,” “kindergarten,” “myocarditis,” “HFMD,” “contact infection,” “blister,” “high fever” “dermatology,” and “plantar” were the most significant predictors during the pandemic.ConclusionsThe predictors for HFMD infections before and during the COVID-19 pandemic were different. The awareness of HFMD infection in Japan may improved during the COVID-19 pandemic. Continuous monitoring is important to promote public health and prevent resurgence. Public interest reflected in information-seeking behavior can be helpful for public health surveillance.

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“…There were also no differences in the number of deaths of emergency patients admitted to hospital in the analyses by reason for ambulance call or by age group. Indeed, several previous studies have reported that COVID-19 outbreaks have reduced emergency patients due to influenza and mortality due to other infectious diseases [ 23 , 24 ]. On the other hand, there were concerns that other acute illnesses might affect the prognosis of emergency elderly patients due to an increase in demand for medical care.…”

Section: Discussionmentioning

confidence: 99%

Incidence and Mortality of Emergency Patients Transported by Emergency Medical Service Personnel during the Novel Corona Virus Pandemic in Osaka Prefecture, Japan: A Population-Based Study

Katayama

Tanaka

Kitamura

et al. 2021

JCM

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Although the COVID-19 pandemic affects the emergency medical service (EMS) system, little is known about the impact of the COVID-19 pandemic on the prognosis of emergency patients. This study aimed to reveal the impact of the COVID-19 pandemic on the EMS system and patient outcomes. We included patients transported by ambulance who were registered in a population-based registry of patients transported by ambulance. The endpoints of this study were the incident number of patients transported by ambulance each month and the number of deaths among these patients admitted to hospital each month. The incidence rate ratio (IRR) and 95% confidence interval (CI) using a Poisson regression model with the year 2019 as the reference were calculated. A total of 500,194 patients were transported in 2019, whereas 443,321 patients were transported in 2020, indicating a significant decrease in the number of emergency patients transported by ambulance (IRR: 0.89, 95% CI: 0.88–0.89). The number of deaths of emergency patients admitted to hospital was 11,931 in 2019 and remained unchanged at 11,963 in 2020 (IRR: 1.00, 95% CI: 0.98–1.03). The incidence of emergency patients transported by ambulance decreased during the COVID-19 pandemic in 2020, but the mortality of emergency patients admitted to hospital did not change in this study.

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Reduction of influenza in Osaka, Japan during the COVID-19 outbreak: a population-based ORION registry study

Cited by 5 publications

References 10 publications

Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study

Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study

Explanation of Hand, Foot, and Mouth Disease Cases in Japan Using Google Trends Before and During the COVID-19: Infodemiology Study

Incidence and Mortality of Emergency Patients Transported by Emergency Medical Service Personnel during the Novel Corona Virus Pandemic in Osaka Prefecture, Japan: A Population-Based Study

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