A number of works have in the same way sought to systematize the design and implementation of epidemic protocols, an emblematic family of highly scalable algorithms [42, 44, 73 75].
Our experience at a national institute shows that implementation of epidemic intelligence should be specifically tailored to effectively monitor the health of a country's population and translate directly into public health action.
Although tools, such as the WHO recommended STEPWise approach to surveillance (STEPs) of NCDs, exist to track NCD epidemics, implementation of STEPs can be challenging.
The present study points to some key areas for enhanced planning and program implementation in concentrated HIV epidemic settings.
For example, an eroded bureaucracy (e.g. due to the HIV epidemic) makes implementation of institutional reforms challenging.
We use this model to examine the validity of sample-based estimates of the total burden of drug resistance and explore how the magnitude of bias in these sample-based estimates is affected by the maturity of the drug-resistant tuberculosis epidemic and the implementation of different types of public health interventions.
Here, different intervention decisions will be discussed within the context of research findings relevant to epidemic malaria and implementation capacities of epidemic-prone countries.
In its initial manifestation, it is really a cluster-based implementation of our agent-based epidemic model.
In order for task-shifting strategies to be considered effective, evidence of their implementation for addressing the CVD epidemic as part of the existing healthcare systems in LMICs is paramount.
Once cities in a region have passed the epidemic threshold for implementing sequential travel restrictions, implementation is the same in that region whether the restrictions are sequential or simultaneous.
For multivariate time-dependent sensitivity analyses, we performed two sets of 10,000 runs using Latin hypercube sampling to simulate HIV epidemics and the implementation of PrEP, either with or without risk compensation (increase in rate of sex partner change) occurring in the population on PrEP.
