標(biāo)題: Titlebook: Epidemics; Models and Data Usin Ottar N. Bj?rnstad Book 2023Latest edition The Editor(s) (if applicable) and The Author(s), under exclusive [打印本頁(yè)] 作者: Hallucination 時(shí)間: 2025-3-21 19:24
書(shū)目名稱(chēng)Epidemics影響因子(影響力)
作者: Veneer 時(shí)間: 2025-3-21 21:28
Book 2023Latest editionng mathematical models to understand infectious disease, dynamics has a very richhistory in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of .Epidemics: Models and D作者: 過(guò)渡時(shí)期 時(shí)間: 2025-3-22 01:36 作者: WITH 時(shí)間: 2025-3-22 08:25
Ivan M. Richards,Jia En Chin,Karen L. Leachtal modeling of transmission dynamics. This is followed by a chapter with in-depth discussion of the reproduction number, .., which is the most important quantity for understanding epidemics of infectious agents. The subsequent chapters detail the importance of age structure and seasonality in shapi作者: Affable 時(shí)間: 2025-3-22 10:26
Respiratory Pharmacology and Pharmacotherapyompletely susceptible host population. .. plays a critical role for a number of aspects of disease dynamics and is therefore the focus of much study in historical and contemporary infectious disease dynamics (Heesterbeek & Dietz, .).作者: 歡呼 時(shí)間: 2025-3-22 13:11
https://doi.org/10.1007/978-3-540-77596-6ity may build up with age, how age-specific heterogeneities may affect this, and how we can use immune data to back-calculate key dynamic quantities. There are two main branches of the adaptive immune system—the part of the immune system that helps to build a repertoire for protection against reinfe作者: 歡呼 時(shí)間: 2025-3-22 20:37
https://doi.org/10.1007/978-3-540-69334-5ve stages outside the host and via host demographies from changing birth rates, carrying capacitities, social organization, etc. Sometimes such influences have relatively subtle consequences (e.g., slight changes in ..) as is likely the effect of absolute humidity oninfluenza transmission (Lowen et 作者: TIA742 時(shí)間: 2025-3-22 21:36 作者: 率直 時(shí)間: 2025-3-23 04:00 作者: 一加就噴出 時(shí)間: 2025-3-23 05:51 作者: 我沒(méi)有命令 時(shí)間: 2025-3-23 12:06 作者: 責(zé)難 時(shí)間: 2025-3-23 15:01 作者: Minutes 時(shí)間: 2025-3-23 22:03 作者: 高歌 時(shí)間: 2025-3-23 23:10
Akademisches Controlling an Hochschulenhotspot detection, characterizing invasion waves, and quantifying spatial synchrony. Spatial synchrony—the level of correlation in outbreak dynamics at different locations—is of particular significance to acute immunizing infections, because asynchrony may permit regional persistence of infections d作者: Banquet 時(shí)間: 2025-3-24 04:06 作者: scrutiny 時(shí)間: 2025-3-24 08:08
https://doi.org/10.1007/978-3-658-43568-4ple, but cross-species transmission is ubiquitous. In 2009 Influenza A/H1N1pdm09 emerged and spread globally most likely after a triple recombination of human, avian, and porcine viral segments (Smith et al., .). The HIV-1 pandemic started in the mid-twentieth century probably from bushmeat spillove作者: etiquette 時(shí)間: 2025-3-24 11:56 作者: cunning 時(shí)間: 2025-3-24 16:27
978-3-031-12055-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Acquired 時(shí)間: 2025-3-24 22:20 作者: 硬化 時(shí)間: 2025-3-24 23:26
https://doi.org/10.1007/978-3-031-12056-5Infectious Disease Dynamics; Epidemics; Disease Modelling; Public Health Analysis; Contagions; Nonlinear 作者: Magisterial 時(shí)間: 2025-3-25 05:43 作者: 擋泥板 時(shí)間: 2025-3-25 07:38 作者: condemn 時(shí)間: 2025-3-25 13:24
Pamela Milner,Geoffrey Burnstockminal paper that introduced the equations for the general Susceptible–Infected–Removed model and showed how a set of restrictive assumptions lead to the standard SIR model of ordinary differential equations.作者: BROTH 時(shí)間: 2025-3-25 18:17 作者: debunk 時(shí)間: 2025-3-25 19:58
https://doi.org/10.1007/978-3-540-77596-6ity may build up with age, how age-specific heterogeneities may affect this, and how we can use immune data to back-calculate key dynamic quantities. There are two main branches of the adaptive immune system—the part of the immune system that helps to build a repertoire for protection against reinfection.作者: Incorruptible 時(shí)間: 2025-3-26 03:14
https://doi.org/10.1007/978-3-540-69334-5ve stages outside the host and via host demographies from changing birth rates, carrying capacitities, social organization, etc. Sometimes such influences have relatively subtle consequences (e.g., slight changes in ..) as is likely the effect of absolute humidity oninfluenza transmission (Lowen et al., .; Bj?rnstad & Viboud, .).作者: itinerary 時(shí)間: 2025-3-26 06:35
https://doi.org/10.1007/978-3-322-91414-9raphic and environmental stochasticity (sometimes referred to jointly as “process error”), observation error, and partial (missing) observation. The strategies also often vary by whether the underlying dynamics is thought to be best approximated in continuous time (differential models) or discrete time (difference models).作者: 懦夫 時(shí)間: 2025-3-26 10:30
https://doi.org/10.1007/978-3-663-02297-8s classified as rabies, there are a wide range of related lyssaviruses of bats that can also spill over to humans. These viruses are transmitted from saliva during aggressive encounters involving biting.作者: Radiculopathy 時(shí)間: 2025-3-26 15:20
Malahat Wittmann,Kerstin Dübner-Gee stability, and resonant periodicity. As remarked by Nisbet and Gurney (.) more generally, linear approximation can often provide remarkably useful insights for nonlinear ecological systems as long as they are not too nonlinear.作者: Ascendancy 時(shí)間: 2025-3-26 16:57 作者: Urea508 時(shí)間: 2025-3-27 00:40 作者: 抗體 時(shí)間: 2025-3-27 03:21 作者: 下船 時(shí)間: 2025-3-27 06:54 作者: Circumscribe 時(shí)間: 2025-3-27 09:57 作者: 未開(kāi)化 時(shí)間: 2025-3-27 14:11 作者: 名字的誤用 時(shí)間: 2025-3-27 20:10
Exotica stability, and resonant periodicity. As remarked by Nisbet and Gurney (.) more generally, linear approximation can often provide remarkably useful insights for nonlinear ecological systems as long as they are not too nonlinear.作者: 要塞 時(shí)間: 2025-3-27 22:47 作者: 肉身 時(shí)間: 2025-3-28 04:00 作者: 維持 時(shí)間: 2025-3-28 10:18
The Early Years: Forging the Imaginary,e former class andspectral analysis, and the periodogram belongs to the latter. Hybrid time/frequency methods have become increasingly prominent in the form ofwaveletanalysis because it allows the study of changes in disease dynamics through time (Grenfell et al., .).作者: 暫時(shí)中止 時(shí)間: 2025-3-28 14:21
Katrin Heeskens,Christine Hardegenpublic health data, in contrast, tracks incidence—the number of new cases in any given time interval. We thus need to do something more than trying to match simulated prevalence with observed incidence. We therefore start with a toy example in which the simulated data actually represents prevalence.作者: Gleason-score 時(shí)間: 2025-3-28 18:12 作者: Allodynia 時(shí)間: 2025-3-28 21:44 作者: 解脫 時(shí)間: 2025-3-29 02:41
Akademisierung der Erzieherinnenausbildung?rogeneities from superspreading events during the 2003 SARS outbreak. Woolhouse et al. (.) suggested a 80/20 rule-of-thumb: for many infections a core of 20% of infected accounts for 80% of onwards transmission.作者: WAIL 時(shí)間: 2025-3-29 06:16 作者: 去掉 時(shí)間: 2025-3-29 11:19
Spatial and Spatiotemporal Patternse the economic and public health burden because the resulting regionalized outbreaks can overwhelm logistical capabilities as was evident in the early part of the 2013–2014 West AfricanEbolaoutbreak and the 2020–2021SARS-CoV-2pandemic.作者: 側(cè)面左右 時(shí)間: 2025-3-29 14:39 作者: PALSY 時(shí)間: 2025-3-29 18:17
Parasitoidsmpler of how infectious disease processes in space and time generally lead to autocorrelated data that breach the classic statistical adage of “identically distributed, independent data” but for which a battery of modern methods can provide correct inference and additional insights.作者: 空中 時(shí)間: 2025-3-29 20:35
SIRng epidemics and pandemics as well as several important time series methods for characterizing and understanding temporal recurrence patterns of infection. The last two chapters explore how ideas from dynamical systems theory can help explain several very curious aspects of the waxing and waning of infection through time.作者: 填料 時(shí)間: 2025-3-30 03:49 作者: 聯(lián)想 時(shí)間: 2025-3-30 06:56
Stochasticspublic health data, in contrast, tracks incidence—the number of new cases in any given time interval. We thus need to do something more than trying to match simulated prevalence with observed incidence. We therefore start with a toy example in which the simulated data actually represents prevalence.作者: 留戀 時(shí)間: 2025-3-30 10:52
Invasion and Eradicationrof chimpanzee simian immunodeficiency virus, which itself is thought to have originated from spillovers from other primates, to go global in the 1970s (Hemelaar, .). Cross-species transmission is not just an issue of zoonotic spilloveror anthropogenic spillback, it is equally important as spilloveramong animal species.作者: 繁榮地區(qū) 時(shí)間: 2025-3-30 16:25 作者: 指數(shù) 時(shí)間: 2025-3-30 19:48
,Die Krise der deutschen Universit?ten,d that Ebola was spreading through gorilla and chimpanzee populations at 50 km/year. Moreover, Grenfell and Harwood (.) and Keeling et al. (.) outlined how spatial spread may permit long-term persistence through metapopulation dynamics.作者: ESO 時(shí)間: 2025-3-30 22:19 作者: CHOKE 時(shí)間: 2025-3-31 03:21
Introduction,minal paper that introduced the equations for the general Susceptible–Infected–Removed model and showed how a set of restrictive assumptions lead to the standard SIR model of ordinary differential equations.作者: 斜 時(shí)間: 2025-3-31 08:19