This indicator, which we call RTB/HIV, compares how fast the incidence of active TB cases (including both smear-positive and smear-negative disease) changes in relation to changes in the prevalence of HIV in different countries or regions.
Hence, the impact of climatic changes (both positive and negative) on bird populations can then be summarised in a single indicator, which we term the Climatic Impact Indicator (CII).
Despite their interest, the indicators which we used are insufficient to quantitatively determine the gene flow between herds since the information is heterogeneous and refers to an appraisal of the immediate status of exchanges.
In order to meet this aim, we first selected a series of urban form indicators, which we quantified by applying spatial metrics to remotely sensed data.
The responses were measured using various indicators, which we list here: shortened culm length (CL), delayed days to heading (DTH), and great reduction ratio of spikelet number per panicle (R_SPP) and percentage of seed set (PSS).
These behavioral indicators, which we use as features, range from simple ones such as number of calls, number of texts, and average call duration to more advanced ones such as the text response rate, radius of gyration, and entropy of visited places.
Future work will focus on a subset of these indicators which we will use as outcome measures in a cluster randomised evaluation of strategies to improve professional practice.
We identified 142 UK general practices from the DIN database that were considered good quality data providers, based on a series of indicators which we have previously described[ 4].
Having recognized these 'prerequisites', we used them to identify key quality indicators, which we believed would allow assessment of fidelity to treatment delivery, based upon completion of the clinical logs.
Note that, in the original bar pointer model definition, there are also other variables such as the meter indicator and the rhythmic pattern indicator variables, which we do not use in our generative model.
In particular for winter nitrate indicator, for which we observe an increase of almost 3%% in average.
