scholarly journals Marine infectious disease dynamics and outbreak thresholds: contact transmission, pandemic infection, and the potential role of filter feeders

Ecosphere ◽  
2016 ◽  
Vol 7 (4) ◽  
Author(s):  
Gorka Bidegain ◽  
Eric N. Powell ◽  
John M. Klinck ◽  
Tal Ben‐Horin ◽  
Eileen E. Hofmann
Keyword(s):  
Infectious Disease ◽  
Potential Role ◽  
Disease Dynamics ◽  
Contact Transmission ◽  
Filter Feeders ◽  
Infectious Disease Dynamics

scholarly journals Understanding how temperature shifts could impact infectious disease

PLoS Biology ◽  
2020 ◽  
Vol 18 (11) ◽  
pp. e3000938
Author(s):  
Jason R. Rohr ◽  
Jeremy M. Cohen
Keyword(s):  
Climate Change ◽  
Infectious Disease ◽  
Disease Risk ◽  
Disease Models ◽  
Disease Dynamics ◽  
The Past ◽  
New Information ◽  
Infectious Disease Dynamics ◽  
Human Infectious Disease

Climate change is expected to have complex effects on infectious diseases, causing some to increase, others to decrease, and many to shift their distributions. There have been several important advances in understanding the role of climate and climate change on wildlife and human infectious disease dynamics over the past several years. This essay examines 3 major areas of advancement, which include improvements to mechanistic disease models, investigations into the importance of climate variability to disease dynamics, and understanding the consequences of thermal mismatches between host and parasites. Applying the new information derived from these advances to climate–disease models and addressing the pressing knowledge gaps that we identify should improve the capacity to predict how climate change will affect disease risk for both wildlife and humans.

scholarly journals Real-time forecasting of infectious disease dynamics with a stochastic semi-mechanistic model

Epidemics ◽  
2018 ◽  
Vol 22 ◽  
pp. 56-61 ◽  
Author(s):  
Sebastian Funk ◽  
Anton Camacho ◽  
Adam J. Kucharski ◽  
Rosalind M. Eggo ◽  
W. John Edmunds
Keyword(s):  
Infectious Disease ◽  
Real Time ◽  
Mechanistic Model ◽  
Disease Dynamics ◽  
Infectious Disease Dynamics

scholarly journals Immunity against COVID-19: Potential role of Ayurveda: A Review

2021 ◽  
Vol 8 (3) ◽  
pp. 989-992
Author(s):  
Mula Ram Suthar ◽  
◽  
Manjry Anshumala Barla ◽  
Rakesh Roushan ◽  
◽  
...  
Keyword(s):  
Infectious Disease ◽  
Potential Role ◽  
Defense Mechanism ◽  
Well Being ◽  
Communicable Diseases ◽  
The Body ◽  
Disease Concept ◽  
First Case ◽  
Modern Perspective

The Severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) is an infectious disease caused by coronavirus disease 2019 (COVID-19) and has affected people's lives globally, since first case was detected in Wuhan, China in December 2019. The coronavirus pandemic has turned the world’s attention to the immune system, the body’s defense mechanism against disease. Concept of Ojas is well explained in all ayurvedic classics, in modern perspective it is considered as immunity (Vyadhikshamatava). Ojas is necessary for well-being of the body, and mind. In Ayurveda textbook, the epidemics and along with their management are discussed under the term of Janapadodhvansa. The preventive and curative treatments for communicable diseases of the Janapadodhvansa (epidemics) are Panchkarma (five bio-purification therapies), Rasayana Chikitsa (rejuvenation treatment), Achara Rasayana (good conducts), and migrate to the place, free from communicable diseases. The intake of all types Rasayanas leads to increase of Ojas and reduce all psychological (mainly stress and emotional) disorder, thereby causes increase immunity responses and help to fight against covid-19. Key Words: Ayurveda, Covid-19, Immunity, Janapadodhvansa, Ojas, Rasayana Chikitsa.

scholarly journals Risk Causal Analysis of Traffic-Intensive Waters Based on Infectious Disease Dynamics

2019 ◽  
Vol 7 (8) ◽  
pp. 277
Author(s):  
Yong-jun Chen ◽  
Qing Liu ◽  
Cheng-peng Wan
Keyword(s):  
Infectious Disease ◽  
Risk Factors ◽  
Causal Model ◽  
Cloud Model ◽  
Rapid Development ◽  
River Estuary ◽  
Yangtze River Estuary ◽  
Disease Dynamics ◽  
Transmission Process ◽  
Infectious Disease Dynamics

Accidents occur frequently in traffic-intensive waters, which restrict the safe and rapid development of the shipping industry. Due to the suddenness, randomness, and uncertainty of accidents in traffic-intensive waters, the probability of the risk factors causing traffic accidents is usually high. Thus, properly analyzing those key risk factors is of great significance to improve the safety of shipping. Based on the analysis of influencing factors of ship navigational risks in traffic-intensive waters, this paper proposes a cloud model to excavate the factors affecting navigational risk, which could accurately screen out the key risk factors. Furthermore, the risk causal model of ship navigation in traffic-intensive waters is constructed by using the infectious disease dynamics method in order to model the key risk causal transmission process. Moreover, an empirical study of the Yangtze River estuary is conducted to illustrate the feasibility of the proposed models. The research results show that the cloud model is useful in screening the key risk factors, and the constructed causal model of ship navigational risks in traffic-intensive waters is able to provide accurate analysis of the transmission process of key risk factors, which can be used to reduce the navigational risk of ships in traffic-intensive waters. This research provides both theoretical basis and practical reference for regulators in the risk management and control of ships in traffic-intensive waters.

scholarly journals Game theoretic modelling of infectious disease dynamics and intervention methods: a review

2020 ◽  
Vol 14 (1) ◽  
pp. 57-89 ◽  
Author(s):  
Sheryl L. Chang ◽  
Mahendra Piraveenan ◽  
Philippa Pattison ◽  
Mikhail Prokopenko
Keyword(s):  
Infectious Disease ◽  
Disease Dynamics ◽  
Game Theoretic ◽  
Infectious Disease Dynamics

scholarly journals Using GPS Technology to Quantify Human Mobility, Dynamic Contacts and Infectious Disease Dynamics in a Resource-Poor Urban Environment

PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e58802 ◽  
Author(s):  
Gonzalo M. Vazquez-Prokopec ◽  
Donal Bisanzio ◽  
Steven T. Stoddard ◽  
Valerie Paz-Soldan ◽  
Amy C. Morrison ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Urban Environment ◽  
Human Mobility ◽  
Disease Dynamics ◽  
Gps Technology ◽  
Resource Poor ◽  
Infectious Disease Dynamics
Sign in / Sign up

Export Citation Format

Share Document