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Book ; Online: COVID-19 and Environment: Impacts of a Global Pandemic

Kodera, Sachiko / Rashed, Essam

2022

Keywords	Medicine ; Epidemiology & medical statistics ; risk perception ; China as an international tourism destination ; anticipated emotions ; destination attachment ; post-pandemic ; COVID-19 ; customer behavior ; psychological process ; live-streaming shopping apps ; stimulus-organism-response framework ; Unified Theory of Acceptance and Use of Technology 2 ; Flow Theory ; gender ; age ; SARS-CoV-2 ; environmental contamination ; air samples ; surface samples ; bottom trawling ; COVID-19 pandemic lockdown ; environmental impacts ; macrobenthic fauna ; tidal channels ; central Mediterranean Sea ; ethnopharmacology ; skin diseases ; cosmetics ; Lithuania ; global environment ; solid waste ; air quality ; transport ; airborne ; CO2 ; collective transport ; tramway ; filtration ; infectious diseases ; epidemiology ; public health ; elementary teacher ; junior high school teacher ; psychological change ; physical changes ; urban mobility ; parking demand ; IoT parking sensors ; explanatory data analysis ; parking policies ; vaccinations ; pharmacist ; KAP ; infection control ; burnout ; COVID-19 pandemic ; postnatal care ; psychological distress ; psychosocial support ; health-seeking behavior ; appendicitis ; surgical care ; metrology ; data analysis ; atmospheric environment ; pollution ; coronavirus ; comorbidity ; spatial analysis ; logistic regression ; ROC curve ; freight transport ; air freight ; sea shipping ; road transport ; recovery measures ; strategies ; public trust ; perceived societal fairness ; mental health ; air pollution ; PM2.5 concentration ; gym sports ; spatial econometric model
Language	English
Size	1 electronic resource (290 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Publishing place	Basel
Document type	Book ; Online
Note	English
HBZ-ID	HT030379681
ISBN	9783036558417 ; 3036558411
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Projection of future heat-related morbidity in three metropolitan prefectures of Japan based on large ensemble simulations of climate change under 2 °C global warming scenarios.

Ueta, Haruto / Kodera, Sachiko / Sugimoto, Shiori / Hirata, Akimasa

Environmental research

2024 Volume 247, Page(s) 118202

Abstract: Recently, global warming has become a prominent topic, including its impacts on human health. The number of heat illness cases requiring ambulance transport has been strongly linked to increasing temperature and the frequency of heat waves. Thus, a ... ...

Abstract	Recently, global warming has become a prominent topic, including its impacts on human health. The number of heat illness cases requiring ambulance transport has been strongly linked to increasing temperature and the frequency of heat waves. Thus, a potential increase in the number of cases in the future is a concern for medical resource management. In this study, we estimated the number of heat illness cases in three prefectures of Japan under 2 °C global warming scenarios, approximately corresponding to the 2040s. Based on the population composition, a regression model was used to estimate the number of heat illness cases with an input parameter of time-dependent meteorological ambient temperature or computed thermophysiological response of test subjects in large-scale computation. We generated 504 weather patterns using 2 °C global warming scenarios. The large-scale computational results show that daily amount of sweating increased twice and the core temperature increased by maximum 0.168 °C, suggesting significant heat strain. According to the regression model, the estimated number of heat illness cases in the 2040s of the three prefectures was 1.90 (95%CI: 1.35-2.38) times higher than that in the 2010s. These computational results suggest the need to manage ambulance services and medical resource allocation, including intervention for public awareness of heat illnesses. This issue will be important in other aging societies in near future.
MeSH term(s)	Humans ; Climate Change ; Global Warming ; Hot Temperature ; Japan/epidemiology ; Heat Stress Disorders ; Morbidity
Language	English
Publishing date	2024-01-13
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2024.118202
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Individual and group-level optimization of electric field in deep brain region during multichannel transcranial electrical stimulation.

Nishimoto, Hidetaka / Kodera, Sachiko / Otsuru, Naofumi / Hirata, Akimasa

Frontiers in neuroscience

2024 Volume 18, Page(s) 1332135

Abstract: Electrode montage optimization for transcranial electric stimulation (tES) is a challenging topic for targeting a specific brain region. Targeting the deep brain region is difficult due to tissue inhomogeneity, resulting in complex current flow. In this ... ...

Abstract	Electrode montage optimization for transcranial electric stimulation (tES) is a challenging topic for targeting a specific brain region. Targeting the deep brain region is difficult due to tissue inhomogeneity, resulting in complex current flow. In this study, a simplified protocol for montage optimization is proposed for multichannel tES (mc-tES). The purpose of this study was to reduce the computational cost for mc-tES optimization and to evaluate the mc-tES for deep brain regions. Optimization was performed using a simplified protocol for montages under safety constraints with 20 anatomical head models. The optimization procedure is simplified using the surface EF of the deep brain target region, considering its small volume and non-concentric distribution of the electrodes. Our proposal demonstrated that the computational cost was reduced by >90%. A total of six-ten electrodes were necessary for robust EF in the target region. The optimization with surface EF is comparable to or marginally better than using conventional volumetric EF for deep brain tissues. An electrode montage with a mean injection current amplitude derived from individual analysis was demonstrated to be useful for targeting the deep region at the group level. The optimized montage and injection current were derived at the group level. Our proposal at individual and group levels showed great potential for clinical application.
Language	English
Publishing date	2024-03-11
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2411902-7
ISSN	1662-453X ; 1662-4548
ISSN (online)	1662-453X
ISSN	1662-4548
DOI	10.3389/fnins.2024.1332135
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: The thermal sensation threshold and its reliability induced by the exposure to 28 GHz millimeter-wave.

Yuasa, Akiko / Uehara, Shintaro / Ushizawa, Kazuki / Kodera, Sachiko / Arai, Norika / Hirata, Akimasa / Otaka, Yohei

Frontiers in neuroscience

2024 Volume 18, Page(s) 1331416

Abstract: The application of 28 GHz millimeter-wave is prevalent owing to the global spread of fifth-generation wireless communication systems. Its thermal effect is a dominant factor which potentially causes pain and tissue damage to the body parts exposed to the ...

Abstract	The application of 28 GHz millimeter-wave is prevalent owing to the global spread of fifth-generation wireless communication systems. Its thermal effect is a dominant factor which potentially causes pain and tissue damage to the body parts exposed to the millimeter waves. However, the threshold of this thermal sensation, that is, the degree of change in skin temperature from the baseline at which the first subjective response to the thermal effects of the millimeter waves occurs, remains unclear. Here, we investigated the thermal sensation threshold and assessed its reliability when exposed to millimeter waves. Twenty healthy adults were exposed to 28 GHz millimeter-wave on their left middle fingertip at five levels of antenna input power: 0.2, 1.1, 1.6, 2.1, and 3.4 W (incident power density: 27-399 mW/cm
Language	English
Publishing date	2024-02-27
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2411902-7
ISSN	1662-453X ; 1662-4548
ISSN (online)	1662-453X
ISSN	1662-4548
DOI	10.3389/fnins.2024.1331416
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Projection of COVID-19 Positive Cases Considering Hybrid Immunity: Case Study in Tokyo.

Kodera, Sachiko / Takada, Akito / Rashed, Essam A / Hirata, Akimasa

Vaccines

2023 Volume 11, Issue 3

Abstract: Since the emergence of COVID-19, the forecasting of new daily positive cases and deaths has been one of the essential elements in policy setting and medical resource management worldwide. An essential factor in forecasting is the modeling of susceptible ... ...

Abstract	Since the emergence of COVID-19, the forecasting of new daily positive cases and deaths has been one of the essential elements in policy setting and medical resource management worldwide. An essential factor in forecasting is the modeling of susceptible populations and vaccination effectiveness (VE) at the population level. Owing to the widespread viral transmission and wide vaccination campaign coverage, it becomes challenging to model the VE in an efficient and realistic manner, while also including hybrid immunity which is acquired through full vaccination combined with infection. Here, the VE model of hybrid immunity was developed based on an in vitro study and publicly available data. Computational replication of daily positive cases demonstrates a high consistency between the replicated and observed values when considering the effect of hybrid immunity. The estimated positive cases were relatively larger than the observed value without considering hybrid immunity. Replication of the daily positive cases and its comparison would provide useful information of immunity at the population level and thus serve as useful guidance for nationwide policy setting and vaccination strategies.
Language	English
Publishing date	2023-03-13
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2703319-3
ISSN	2076-393X
ISSN	2076-393X
DOI	10.3390/vaccines11030633
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Population-Level Immunity for Transient Suppression of COVID-19 Waves in Japan from April 2021 to September 2022.

Kodera, Sachiko / Ueta, Haruto / Unemi, Tatsuo / Nakata, Taisuke / Hirata, Akimasa

Vaccines

2023 Volume 11, Issue 9

Abstract: Multiple COVID-19 waves have been observed worldwide, with varying numbers of positive cases. Population-level immunity can partly explain a transient suppression of epidemic waves, including immunity acquired after vaccination strategies. In this study, ...

Abstract	Multiple COVID-19 waves have been observed worldwide, with varying numbers of positive cases. Population-level immunity can partly explain a transient suppression of epidemic waves, including immunity acquired after vaccination strategies. In this study, we aimed to estimate population-level immunity in 47 Japanese prefectures during the three waves from April 2021 to September 2022. For each wave, characterized by the predominant variants, namely, Delta, Omicron, and BA.5, the estimated rates of population-level immunity in the 10-64-years age group, wherein the most positive cases were observed, were 20%, 35%, and 45%, respectively. The number of infected cases in the BA.5 wave was inversely associated with the vaccination rates for the second and third injections. We employed machine learning to replicate positive cases in three Japanese prefectures to validate the reliability of our model for population-level immunity. Using interpolation based on machine learning, we estimated the impact of behavioral factors and vaccination on the fifth wave of new positive cases that occurred during the Tokyo 2020 Olympic Games. Our computational results highlighted the critical role of population-level immunity, such as vaccination, in infection suppression. These findings underscore the importance of estimating and monitoring population-level immunity to predict the number of infected cases in future waves. Such estimations that combine numerical derivation and machine learning are of utmost significance for effective management of medical resources, including the vaccination strategy.
Language	English
Publishing date	2023-09-04
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2703319-3
ISSN	2076-393X
ISSN	2076-393X
DOI	10.3390/vaccines11091457
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: High-resolution EEG source localization in personalized segmentation-free head model with multi-dipole fitting.

Hirata, Akimasa / Niitsu, Masamune / Phang, Chun Ren / Kodera, Sachiko / Kida, Tetsuo / Rashed, Essam A / Fukunaga, Masaki / Sadato, Norihiro / Wasaka, Toshiaki

Physics in medicine and biology

2024 Volume 69, Issue 5

Abstract: ... ...

Abstract	Objective
MeSH term(s)	Male ; Humans ; Young Adult ; Adult ; Brain Mapping/methods ; Electroencephalography/methods ; Magnetoencephalography/methods ; Magnetic Resonance Imaging ; Scalp ; Brain/diagnostic imaging ; Brain/physiology ; Models, Neurological ; Head/diagnostic imaging ; Head/physiology
Language	English
Publishing date	2024-02-22
Publishing country	England
Document type	Journal Article
ZDB-ID	208857-5
ISSN	1361-6560 ; 0031-9155
ISSN (online)	1361-6560
ISSN	0031-9155
DOI	10.1088/1361-6560/ad25c3
Database	MEDical Literature Analysis and Retrieval System OnLINE

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bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

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Article: Estimation of Real-World Vaccination Effectiveness of mRNA COVID-19 Vaccines against Delta and Omicron Variants in Japan.

Kodera, Sachiko / Rashed, Essam A / Hirata, Akimasa

Vaccines

2022 Volume 10, Issue 3

Abstract: A resurgence of COVID-19-positive cases has been observed in many countries in the latter half of 2021. The primary reasons for this resurgence are the waning immunity of vaccination after the second dose of vaccination and the changes in public behavior ...

Abstract	A resurgence of COVID-19-positive cases has been observed in many countries in the latter half of 2021. The primary reasons for this resurgence are the waning immunity of vaccination after the second dose of vaccination and the changes in public behavior due to temporal convergence. The vaccination effectiveness for the omicron and delta variants has been reported from some countries, but it is still unclear for several other regions worldwide. Here, we numerically derived the effectiveness of vaccination for infection protection in individuals and populations against viral variants for the entire Japanese population (126 million). The waning immunity of vaccination for the delta variant of Japanese individuals was 93.8% (95% CI: 93.1−94.6%) among individuals <65 years of age and 95.0% (95% CI: 95.6−96.9%) among individuals ≥65 years of age. We found that waning immunity of vaccination in individuals >65 years of age was lower than in those <65 years of age, which may be attributable to human behavior and a higher vaccination rate among individuals >65 years of age. From the reported data of 25,187 positive cases with confirmed omicron variant in Tokyo in January 2022, the effectiveness of vaccination was also estimated at 62.1% (95% CI: 48−66%) compared to that of the delta variant. Derived effectiveness of vaccination would be useful to discuss the vaccination strategy for the booster shot, as well as the status of herd immunity.
Language	English
Publishing date	2022-03-11
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2703319-3
ISSN	2076-393X
ISSN	2076-393X
DOI	10.3390/vaccines10030430
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: COVID-19 forecasting using new viral variants and vaccination effectiveness models.

Rashed, Essam A / Kodera, Sachiko / Hirata, Akimasa

Computers in biology and medicine

2022 Volume 149, Page(s) 105986

Abstract: Recently, a high number of daily positive COVID-19 cases have been reported in regions with relatively high vaccination rates; hence, booster vaccination has become necessary. In addition, infections caused by the different variants and correlated ... ...

Abstract	Recently, a high number of daily positive COVID-19 cases have been reported in regions with relatively high vaccination rates; hence, booster vaccination has become necessary. In addition, infections caused by the different variants and correlated factors have not been discussed in depth. With large variabilities and different co-factors, it is difficult to use conventional mathematical models to forecast the incidence of COVID-19. Machine learning based on long short-term memory was applied to forecasting the time series of new daily positive cases (DPC), serious cases, hospitalized cases, and deaths. Data acquired from regions with high rates of vaccination, such as Israel, were blended with the current data of other regions in Japan such that the effect of vaccination was considered in efficient manner. The protection provided by symptomatic infection was also considered in terms of the population effectiveness of vaccination as well as the vaccination protection waning effect and ratio and infectivity of different viral variants. To represent changes in public behavior, public mobility and interactions through social media were also included in the analysis. Comparing the observed and estimated new DPC in Tel Aviv, Israel, the parameters characterizing vaccination effectiveness and the waning protection from infection were well estimated; the vaccination effectiveness of the second dose after 5 months and the third dose after two weeks from infection by the delta variant were 0.24 and 0.95, respectively. Using the extracted parameters regarding vaccination effectiveness, DPC in three major prefectures of Japan were replicated. The key factor influencing the prevention of COVID-19 transmission is the vaccination effectiveness at the population level, which considers the waning protection from vaccination rather than the percentage of fully vaccinated people. The threshold of the efficiency at the population level was estimated as 0.3 in Tel Aviv and 0.4 in Tokyo, Osaka, and Aichi. Moreover, a weighting scheme associated with infectivity results in more accurate forecasting by the infectivity model of viral variants. Results indicate that vaccination effectiveness and infectivity of viral variants are important factors in future forecasting of DPC. Moreover, this study demonstrate a feasible way to project the effect of vaccination using data obtained from other country.
MeSH term(s)	COVID-19/epidemiology ; COVID-19/prevention & control ; Hospitalization ; Humans ; SARS-CoV-2 ; Vaccination/methods
Language	English
Publishing date	2022-08-17
Publishing country	United States
Document type	Journal Article
ZDB-ID	127557-4
ISSN	1879-0534 ; 0010-4825
ISSN (online)	1879-0534
ISSN	0010-4825
DOI	10.1016/j.compbiomed.2022.105986
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Projection of COVID-19 Positive Cases Considering Hybrid Immunity

Sachiko Kodera / Akito Takada / Essam A. Rashed / Akimasa Hirata

Vaccines, Vol 11, Iss 633, p

Case Study in Tokyo

2023 Volume 633

Abstract	Since the emergence of COVID-19, the forecasting of new daily positive cases and deaths has been one of the essential elements in policy setting and medical resource management worldwide. An essential factor in forecasting is the modeling of susceptible populations and vaccination effectiveness (VE) at the population level. Owing to the widespread viral transmission and wide vaccination campaign coverage, it becomes challenging to model the VE in an efficient and realistic manner, while also including hybrid immunity which is acquired through full vaccination combined with infection. Here, the VE model of hybrid immunity was developed based on an in vitro study and publicly available data. Computational replication of daily positive cases demonstrates a high consistency between the replicated and observed values when considering the effect of hybrid immunity. The estimated positive cases were relatively larger than the observed value without considering hybrid immunity. Replication of the daily positive cases and its comparison would provide useful information of immunity at the population level and thus serve as useful guidance for nationwide policy setting and vaccination strategies.
Keywords	hybrid immunity ; vaccination effectiveness ; herd immunity ; COVID-19 ; forecasting ; deep learning ; Medicine ; R
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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