The spreading of infectious diseases in modern socio-technical systems Comment on "Pattern transitions in spatial epidemics: Mechanisms and emergent properties" by Gui-Quan Sun et al.
نویسنده
چکیده
We are all part of di↵erent, often interconnected, socio-technical systems [1]. These provide a set of unprecedented capabilities. The global air transportation network allows to travel between almost any two points on earth within one day. The network of roads and rails consent to reach di↵erent neighbourhoods, regions or even countries in matter of hours. A variety of platforms running over the Internet allows to communicate instantaneously across time zones with friends, family and strangers alike. The way we travel, commute, and communicate is drastically di↵erent and more e cient respect to any time in our history [2]. As Sun et al correctly note in their review [3], the recent outbreaks of SARS (2002), H1N1 (2009), H7N9 (2013), Ebola (2014), and MERS-CoV (2012 and 2015) show how such unprecedented global and local connectivity a↵ects diseases’ dynamics. The comparison between the spreading of the black death in the 14 century and H1N1 in 2009 is particular revealing. The first took over Europe slowly moving from the south as a wave in a medium. The disease reached north Europe in about 2 years. The second instead, spread in 214 countries in matter of few months. Notably its spreading patterns have been seemly erratic and di↵erent respect to a wave propagation in space [4, 5]. In particular, the di↵usion from one city to another was not simply driven by proximity but by their e↵ective connectivity in the current transportation system [6]. Furthermore, the two diseases induced the proliferation of panic, fear, and behavioural changes. However, in the
منابع مشابه
Pattern transition phenomena in spatial modeling of infectious diseases: Comment on "Pattern transitions in spatial epidemics: Mechanisms and emergent properties" by Gui-Quan Sun et al.
Infectious disease, ever a significant worldwide problem, has been a major force in shaping world history. We saw this in the 2009 H1N1 outbreak and subsequent pandemic, and again in the worldwide spread of SARS in 2003 [1]. More recently, humanity has been put at significant risk on an international scale by the emergence of old or completely new diseases enhanced by the efficiency, speed, and...
متن کاملInnovation in the Agro-Food Sector: from Technical Innovation-Centred Approaches to Sustainability Transition Processes
Innovation is a complex phenomenon and process involving translation of knowledge into new techniques, products, services. It is considered crucial for sustainable agriculture development and achievement of long-term food security. The review describes the diversity of innovation and relates it to agro-food sector. It also sheds light on different innovation models and explores their contributi...
متن کاملارزیابی پویشگر ریسک به منظور شناسایی ریسکهای در حال ظهور با استفاده از مدل آنالیز تشدید کارکرد: مطالعهی موردی در یک واحد فرایندی
Background and aim: Today, it was revealed that Socio-technical systems did not have a bimodal nature and interactions in these systems are complex and non-linear. Consequently, since risks can be emerged as non-linear combinations of performance variability, so traditional methods of risk assessment are not able to capture these combinations. The present paper is aimed at identifying the eme...
متن کاملThe Co-Constitution of Health Systems and Innovation; Comment on “What Health System Challenges Should Responsible Innovation in Health Address? Insights From an International Scoping Review”
Lehoux et al provide a timely and relevant turn on the broad and ongoing discussion around the introduction of health technology and innovation. More specifically, the authors suggest a demand-driven approach to health innovation that starts from identifying challenges and demands at the health system level. In this commentary, I review a number of underlying implications of their study in rela...
متن کاملDynamics of modern epidemics
The application of mathematical modelling to the spread of epidemics has a long history and was initiated by Daniel Bernoulli’s work on the effect of cow-pox inoculation on the spread of smallpox in 1760 (Bernoulli 1760). While most studies concentrate on the temporal development of diseases and epidemics, their geographical spread is less well understood. The key question and difficulty is how...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Physics of life reviews
دوره 19 شماره
صفحات -
تاریخ انتشار 2016