Proof-of-principle for implementing VA methods, including probabilistic modeling of cause of death, with mobile technology (49) indicates that this is an approach ready to move out of research contexts and into routine usage for monitoring cause-specific mortality.
Therefore, future work may be limited to modeling the effects of these parasites on host populations and monitoring causes of illness and death in natural populations.
The MRC/WITS Rural Public Health and Health Transitions Research Unit (Agincourt Unit) has been monitoring causes of death, births and migration in a population of around 70,000 people since 1992 (21).
International Classification of Diseases (ICD), in medicine, diagnostic tool that is used to classify and monitor causes of injury and death and that maintains information for health analyses, such as the study of mortality (death) and morbidity (illness) trends.
The causes of perinatal death identified through the birth registry and the neonatal registry represent valuable information which should be systematically utilized in order to monitor causes of perinatal mortality.
In addition, most HDSS sites monitor causes of death as a major indicator of population health (1), and capture several types of socio-economic data, including household wealth and education status, as additional information for evaluating population health profiles (3).
A Hawthorne effect (39, 40) may have occurred, whereby patients' awareness that their HbA1c, SBP, and LDL cholesterol were being monitored caused them to improve adherence to medication and lifestyle recommendations.
An additional benefit of HDSS implementing the verbal autopsy (VA) is that they are often the only data in many countries to monitor cause-specific mortality of a population on a longitudinal basis (1).
These strategies are (1) immune to the ambiguous monitoring caused by collisions and (2) able to force the greedy nodes to cooperate under the threat of retaliation.
Some will point out that airliners could have flown into these ash clouds had there been no monitoring, causing considerable loss of life.
Briefly, these are difficulties in specifying what is required, and problems in monitoring caused by asymmetry of information and the complexity of services and also the ever present possibility of opportunism [ 12].
