scholarly journals The evolution of constitutive and induced defences to infectious disease

2018 ◽  
Vol 285 (1883) ◽  
pp. 20180658 ◽  
Author(s):  
Mike Boots ◽  
Alex Best

In response to infectious disease, hosts typically mount both constitutive and induced defences. Constitutive defence prevents infection in the first place, while induced defence typically shortens the infectious period. The two routes to defence, therefore, have very different implications not only to individuals but also to the epidemiology of the disease. Moreover, the costs of constitutive defences are likely to be paid even in the absence of disease, while induced defences are likely to incur the most substantial costs when they are used in response to infection. We examine theoretically the evolutionary implications of these fundamental differences. A key result is that high virulence in the parasite typically selects for higher induced defences even if they result in immunopathology leading to very high disease mortality. Disease impacts on fecundity are critical to the relative investment in constitutive and induced defence with important differences found when parasites castrate their hosts. The trade-off between constitutive and induced defence has been cited as a cause of the diversity in defence, but we show that the trade-off alone is unlikely to lead to diversity. Our models provide a framework to examine relative investment in different defence components both experimentally and in the field.

2019 ◽  
Vol 76 ◽  
pp. 280-283 ◽  
Author(s):  
Mark Hamer ◽  
Mika Kivimaki ◽  
Emmanuel Stamatakis ◽  
G. David Batty

2021 ◽  
Author(s):  
David A Kennedy

Why would a pathogen evolve to kill its hosts when killing a host ends a pathogen's own opportunity for transmission? A vast body of scientific literature has attempted to answer this question using "trade-off theory," which posits that host mortality persists due to its cost being balanced by benefits of other traits that correlate with host mortality. The most commonly invoked trade-off is the mortality-transmission trade-off, where increasingly harmful pathogens are assumed to transmit at higher rates from hosts while the hosts are alive, but the pathogens truncate their infectious period by killing their hosts. Here I show that costs of mortality are too small to plausibly constrain the evolution of disease severity except in systems where survival is rare. I alternatively propose that disease severity can be much more readily constrained by a cost of behavioral change due to the detection of infection, whereby increasingly harmful pathogens have increasing likelihood of detection and behavioral change following detection, thereby limiting opportunities for transmission. Using a mathematical model, I show the conditions under which detection can limit disease severity. Ultimately, this argument may explain why empirical support for trade-off theory has been limited and mixed.


2013 ◽  
Vol 9 (1) ◽  
pp. 175 ◽  
Author(s):  
Samuel M Thumbi ◽  
Mark Bronsvoort ◽  
Henry Kiara ◽  
PG Toye ◽  
Jane Poole ◽  
...  

We are full swing into the era of turbulence, and at this time, our creativity is more important than ever. We have heard many scholars and business leaders ask the question, “Can we invent and innovate effectively to keep up with the fast changes happening around us?” This chapter explores how to develop a heightened creativity and help weak economic areas by using technology, the arts, and our unique cultures to ignite economic development. Attracting tourism; young, talented people; and entrepreneurs to rural and urban cores is essential to thrive in turbulent times. In times of turbulence, organizations often navigate on autopilot, failing to see unintended circumstances and implications. However, every time a decision is made there is a trade-off. A true understanding of the trade-off may determine success or failure. Failure could mean very high cost either monetarily or the organizational future in the marketplace.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
H-S Kim ◽  
S J Eun

Abstract Background Infectious diseases are a leading cause of death worldwide, and constitute a significant burden of disease, even in developed countries including Korea. Although different ages, periods, and cohorts may affect mortality, few studies analyzed the epidemiologic pattern of infectious disease mortality considering these effects. This study aimed to estimate the age-period-cohort effects on infectious disease mortality in Korea. Methods The national death certificate and census mid-year population estimates data from 1983 to 2017 were categorized into 5-year age groups and 5-year periods. Infant deaths were excluded due to incomplete data. Intrinsic estimator regression models were fitted to estimate age-period-cohort effects on infectious disease mortality. Results A J-shaped age effect declined from age 1-4 years (intrinsic estimator coefficient [IEC] 0.68; 95% confidence interval [CI] 0.52, 0.85), the lowest at age 20-24 years (IEC -1.68; 95% CI -1.85, -1.51), and then increased with age. The declining trend of period effects was slowed down in 1998-2002 (after the 1997-1998 Asian economic crisis), and turned to an upward trend from 2008-2012 (after the 2008-2009 global financial crisis). The cohort effect increased from the earliest cohort born before 1905 (IEC -1.17, 95% CI -1.35, -0.98), peaked in the 1941-1945 cohort (IEC 1.20, 95% CI 1.10, 1.29), then plateaued out (IEC ranged from 0.93 to 1.10), and has continued to decline since the 1966-1970 cohort in which rapid economic growth began. Conclusions There were clear age, period, and cohort effects on infectious disease mortality in Korea. Through the period and cohort effects, the economic downturn and upturn might have increased or reduced infectious disease mortality, respectively. Recent upward trend in infectious disease mortality after the 2008-2009 financial crisis suggests a need to strengthen prevention and control of infectious diseases. Key messages It is important to consider age-period-cohort effects in identifying the epidemiologic pattern of infectious disease mortality trend and finding its underlying drivers. Economic cycle might have influenced infectious disease mortality through period and cohort effects.


2009 ◽  
Vol 48 (4) ◽  
pp. 418-424 ◽  
Author(s):  
Adrian F. Gombart ◽  
Ishir Bhan ◽  
Niels Borregaard ◽  
Hector Tamez ◽  
Carlos A. Camargo, Jr. ◽  
...  

JAMA ◽  
2018 ◽  
Vol 320 (8) ◽  
pp. 837 ◽  
Author(s):  
Charbel el Bcheraoui ◽  
Mohsen Naghavi ◽  
Christopher J. L. Murray

1998 ◽  
Vol 169 (8) ◽  
pp. 444-445
Author(s):  
Gregory J Dore ◽  
Yueming Li ◽  
Alleen J Plant ◽  
John M Kaldor

PLoS ONE ◽  
2011 ◽  
Vol 6 (5) ◽  
pp. e20119 ◽  
Author(s):  
Shaun K. Morris ◽  
Diego G. Bassani ◽  
Shally Awasthi ◽  
Rajesh Kumar ◽  
Anita Shet ◽  
...  

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