3/21/2023 0 Comments Google scholar phraseexpress![]() ![]() NSGA II (non-dominated sorting genetic algorithm), GA (genetic algorithm), and LP (linear programming) are the more often applied decision methods to solve water allocation problems. Water shortage, water use management, and water quality were consecutively the most top-ranked discussed water problems. Around 65% and 12% of study papers were conducted in Asia and Europe, respectively. This study reveals that in the past two decades the application of MCDM in the area of water allocation has increased particularly after 2014. From 109 papers, 49 publications have been identified and information extracted. We applied a systematic literature review study from 2000 to 2019 by using four literature databases (Web of Science, Scopus, Science Direct, and Google Scholar). In this regard, this paper aims to identify and to discern the pattern, distribution of study regions, water problem classifications, and decision techniques application for a specific water allocation problem. This paper compiles the application of multi-criteria decision-making (MCDM) related to water allocation. The water allocation problem is complex and requires a combination of regulations, policies, and mechanisms to support water management to minimize the risk of shortage among competing users. While undoubtedly useful, the stand-alone character limits their impact on public health surveillance. Most of them were designed for reporting purposes and lacked interoperability features. The publications discussed 13 technologies, of which 8 were for community-based surveillance, 2 were for facility-based surveillance, and 3 combined both forms of surveillance. Inclusion and exclusion criteria were met by 35 papers: they described mobile phone-based and computer-based systems designed for infectious disease surveillance in Tanzania, were published in English between 20, and had full texts that could be read online. In addition, 26 publications were obtained from the Google search engine. Four databases were searched-Cumulative Index to Nursing and Allied Health Literature (CINAHL), Excerpta Medica Database (Embase), PubMed, and Scopus-yielding a total of 145 publications. The objective of this situational review is, therefore, to summarize available literature on the application of mobile phones and computer-based technologies for infectious disease surveillance in Tanzania and to inform on existing gaps. Hence, it is not surprising that stakeholders in the health sector are becoming more interested in funding these technologies in Tanzania, Africa, where outbreaks occur frequently. Mobile phones and computer-based applications can speed up disease outbreak detection and control.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |