18 research outputs found

    Trained district health personnel and the performance of integrated disease surveillance in the who African region

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    Background: African countries have intensified in-service training on Integrated Disease Surveillance and Response (IDSR) for district and facility health personnel to strengthen their disease surveillance systems. Eight countries evaluated their experiences and lessons in the implementation of IDSR.Methodology: We conducted a secondary analysis of the evaluation reports to assess the impact of training of district health personnel on the performance of disease surveillance systems. We developed indicators to assess the potential impact of their training on the timeliness and completeness of reporting, the data analysis of priority diseases at the district and health facility levels and supervision and feedback at the district levelFindings: Training approaches implemented included cascade, on-job, pre-service and fast track training on detection, reporting and data analysis. The overall proportion of health facilities with one or two personnel trained varied from 52% to 89% and the knowledge of the health personnel for epidemic-prone diseases ranged from 52% to 78%. All the countries met the threshold of 60% of health personnel in their districts trained in IDSR. The evidence from data analysis at the district level was more than 60% and the timely reporting and completeness of health facilities 70% and 92%, respectively. Supervision of health facilities ranged from 75% to 100%, however feedback was not provided on a regular basisConclusions: Trained district personnel are key in the performance of the national IDSR. This review shows that training of district health personnel coupled with sustainable supervision and feedback, reliable communication and availability of simplified reporting tools can contribute to improved performance of national diseases surveillance systems

    Separating sequence overlap for automated test sequence generation

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    Finite state machines have been used to model a number of classes of system and there has thus been much interest in the automatic generation of test sequences from finite state machines. Many finite state machine based test techniques utilize sequences that check the final states of transitions, the most general such sequence being a separating sequence: an input sequence that distinguishes between two states of an FSM. When using such techniques the test sequence length can be reduced by utilizing overlap. This paper investigates overlap for separating sequences and shows how this can be incorporated into test sequence generation
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