Investigation of the structure of a tropical cyclone based on the analysis of satellite video data using the method of almost periodic analysis DOI
Aleksandr Paramonov, А В Калач,

Andrey Kravchenko

и другие.

Modeling of systems and processes, Год журнала: 2024, Номер 17(4), С. 67 - 76

Опубликована: Ноя. 16, 2024

At the moment, research on forecasting and modeling of emergencies phenomena accompanying their occurrence is relevant. The causes dangerous situations are, among other things, natural phenomena. One these a tropical cyclone, which capable causing gale force winds, tornadoes high-intensity precipitation. study was conducted using example cyclone Milton, formed from October 5 to 10, 2024 caused wide public response. It should be noted that 5, in Gulf Mexico broke up Atlantic Ocean 2024. same time, residents US state Florida fell under brunt phenomenon, main destruction casualties population were typhoon strong winds. analysis full dynamics performed order identify characteristic structural areas an almost periodic apparatus. values zones are revealed, and, based detailed analysis, factors for further possibility improving results obtained satellite data with cyclones outlined

Язык: Английский

Unseasonal respiratory syncytial virus epidemics during the COVID-19 pandemic: relationship between climatic factors and epidemic strain switching DOI Creative Commons

Akira Shinzato,

Kenji Hibiya,

Naoya Nishiyama

и другие.

International Journal of Infectious Diseases, Год журнала: 2025, Номер unknown, С. 107833 - 107833

Опубликована: Фев. 1, 2025

Highlights•In Okinawa, the timing of RSV epidemic shifted during COVID-19 pandemic•The correlation between and its directionality varied by year•Climate may have had more impact than mobility on incidence pandemic•Lack human migration led to an from indigenous endemic strain•Our findings could guide programs for control vaccinationABSTRACTObjectivesThe coronavirus disease (COVID-19) pandemic affected respiratory syncytial virus (RSV) patterns. However, effects climatic virological factors epidemics remain poorly understood. We investigated infection in Japan; Taiwan, China; Florida, USA before after pandemic, focusing population climate.MethodsWe correlations incidence, mobility, climate, pre- post-pandemic. The second variable region G proteins was analysed phylogenetically using viral genomes isolated patients Okinawa with acute respiratory-tract infections.ResultsAnnual were not correlated temperature humidity zones at onset differed post-pandemic periods; respective standard deviations decreased. Genetic analysis strains 2020 2022 revealed a cluster low genetic diversity, markedly different pre-2019 or 2023 prevalent strains.ConclusionsReduced caused strain, demonstrating natural relationship factors. These help develop effective prediction inform development vaccine program.

Язык: Английский

Процитировано

0

Burden of respiratory syncytial virus, human metapneumovirus and influenza virus infections in Japanese adults in the Hospitalized Acute Respiratory Tract Infection study DOI
Masaharu Shinkai, Shinichiro Ota, Nobuhisa Ishikawa

и другие.

Respiratory Investigation, Год журнала: 2024, Номер 62(4), С. 717 - 725

Опубликована: Май 31, 2024

Язык: Английский

Процитировано

1

Study on the impact of meteorological factors on influenza in different periods and prediction based on artificial intelligence RF-Bi-LSTM algorithm: to compare the COVID-19 period with the non-COVID-19 period DOI Creative Commons
Hansong Zhu, Si Chen,

Weixia Qin

и другие.

BMC Infectious Diseases, Год журнала: 2024, Номер 24(1)

Опубликована: Авг. 28, 2024

At different times, public health faces various challenges and the degree of intervention measures varies. The research on impact prediction meteorology factors influenza is increasing gradually, however, there currently no evidence whether its results are affected by periods. This study aims to provide limited reveal this issue.

Язык: Английский

Процитировано

1

On the possibilities of using the method of near-periodic analy-sis for image processing DOI
А В Калач, Aleksandr Paramonov

Modeling of systems and processes, Год журнала: 2024, Номер unknown, С. 42 - 50

Опубликована: Сен. 30, 2024

The paper presents the application of method near-periodic analysis based on shift function to pro-cessing data presented in form aerial images dynamics cyclone activity. In course study, spa-tial, temporal and spatiotemporal analyses were carried out. proposed showed possibilities for performing spatial segmentation image both Cartesian polar coordinates, also determined existence periodicity time scale dataset. Based results obtained, a study da-taset with final was near-periods system coordinates is shown. substantiation fact that coordinate system, almost periodic represents qualitative rhythmic marking presented. It demonstrated an generalized provides possibility using studied set slice. article classification model parts image, obtained basis statistical estimates slices series groupings, When analysis, it from photography activity

Язык: Английский

Процитировано

0

Investigation of the structure of a tropical cyclone based on the analysis of satellite video data using the method of almost periodic analysis DOI
Aleksandr Paramonov, А В Калач,

Andrey Kravchenko

и другие.

Modeling of systems and processes, Год журнала: 2024, Номер 17(4), С. 67 - 76

Опубликована: Ноя. 16, 2024

At the moment, research on forecasting and modeling of emergencies phenomena accompanying their occurrence is relevant. The causes dangerous situations are, among other things, natural phenomena. One these a tropical cyclone, which capable causing gale force winds, tornadoes high-intensity precipitation. study was conducted using example cyclone Milton, formed from October 5 to 10, 2024 caused wide public response. It should be noted that 5, in Gulf Mexico broke up Atlantic Ocean 2024. same time, residents US state Florida fell under brunt phenomenon, main destruction casualties population were typhoon strong winds. analysis full dynamics performed order identify characteristic structural areas an almost periodic apparatus. values zones are revealed, and, based detailed analysis, factors for further possibility improving results obtained satellite data with cyclones outlined

Язык: Английский

Процитировано

0