Sentence examples for outbreak interactions from inspiring English sources

In order to model the predator-prey mite outbreak interactions on fruit trees, Wollkind et al. [6] adapted the following ordinary differential equations based on the model due to May [7]: { d u d t = r u ( 1 − u K ) − p ( u ) v, d v d t = v [ s ( 1 − h v u ) ], (1.1).

As in previous outbreaks, interactions between wild mice and colony rodents frequently introduce LCMV into breeding colonies (16 ).

With fundamental differences between the sources of outbreaks, host environment interactions are classic determinants of risk factors for disease acquisition and public health measures must change accordingly.

Several exercises extended beyond this initial response and included scenarios that progressed days or weeks into an outbreak, requiring greater interactions between local- and state-level authorities and attention to health care surge capacity.

In this context, αV β3 and αV β5 integrins are important to regulate angiogenesis [ 68], and, while syndecan-1 is necessary to regulate both integrins during angiogenesis and tumorigenesis, synstatin can cause the outbreak of this interaction [ 65].

Many infectious disease outbreaks may result from interactions between multiple pathogens and environmental conditions, says veterinary scientist Ard Nijhof of Utrecht University in the Netherlands, but nailing down those interactions can be difficult.

Could the Fort Dix outbreak have resulted from interaction between swine influenza A and A/Victoria viruses?

To additionally obtain age- and sex-specific estimates of the excess, we also fitted a model containing a triple interaction term (outbreak period, age and sex).

Coupled physical-biological models, which aim to accurately represent population dynamics and hydrodynamic transport, are effective tools for studying these interactions, predicting outbreaks of toxic organisms, enhancing understanding of the system and assisting in the management of aquatic resources.

Thus, understanding the underlying processes that govern symbiosis resilience is crucial to manage the positive (e.g., nitrogen-fixing bacteria) as well as the negative (e.g., pathogen outbreaks) consequences of such interactions in agro-ecosystems (Thompson 2005; Thrall et al. 2007; Kiers et al. 2010).

The first column shows the different period interaction models with each variable that showed significant interactions with the outbreak period down the rows, the first row is the best single pollutant model with no interaction.