scholarly journals Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature Review

Author(s):  
Gleidson Sobreira Leite ◽  
Adriano Bessa Albuquerque ◽  
Plácido Rogerio Pinheiro

With the growing concern about the spread of new respiratory infectious diseases, several studies involving the application of technology in the prevention of these diseases have been carried out. Among these studies, it is worth highlighting the importance of those focused on the primary forms of prevention, such as social distancing, mask usage, quarantine, among others. This importance arises because, from the emergence of a new disease to the production of immunizers, preventive actions must be taken to reduce contamination and fatalities rates. Despite the considerable number of studies, no records of works aimed at the identification, registration, selection, and rigorous analysis and synthesis of the literature were found. For this purpose, this paper presents a systematic review of the literature on the application of technological solutions in the primary ways of respiratory infectious diseases transmission prevention. From the 1139 initially retrieved, 219 papers were selected for data extraction, analysis, and synthesis according to predefined inclusion and exclusion criteria. Results enabled the identification of a general categorization of application domains, as well as mapping of the adopted support mechanisms. Findings showed a greater trend in studies related to pandemic planning and, among the support mechanisms adopted, data and mathematical application-related solutions received greater attention. Topics for further research and improvement were also identified such as the need for a better description of data analysis and evidence.

2019 ◽  
Vol 9 (22) ◽  
pp. 4800 ◽  
Author(s):  
Leite ◽  
Albuquerque ◽  
Pinheiro

With the growing interest in technological solutions aimed at combating money laundering, several studies involving the application of technology have been carried out. However, there were no records of studies aimed at identifying, selecting, rigorously analyzing and synthesizing the literature on solutions that adopt technology to combat money laundering. This paper presents a systematic review of the literature on the application of technological solutions in the fight against money laundering. Seventy-one papers were selected from the 795 studies initially retrieved for data extraction, analysis and synthesis based on predefined inclusion and exclusion criteria. The results obtained with the data analysis made it possible to identify a general categorization of the domains of application of the approaches, as well as a mapping and classification of the support mechanisms adopted. The findings of this review showed that, among the application domain categories identified, the detection of suspicious transactions attracted greater attention from researchers. Regarding the support mechanisms adopted, the application of data mining techniques was used more extensively to detect money laundering. Topics for further research and refinement were also identified, such as the need for a better description of data analysis to provide more convincing evidence to support the benefits presented.


1995 ◽  
Vol 29 (10) ◽  
pp. 1035-1040 ◽  
Author(s):  
Laurie L Briceland ◽  
John D Cleary ◽  
Courtney V Fletcher ◽  
Daniel P Healy ◽  
Charles A Peloquin

Objective: To update readers on the significant changes in infectious diseases pharmacotherapy. Data Sources: An Index Medians and Iowa Drug Information Service search (1993–1994) of English-language literature pertaining to the selected topic areas was performed. Additional information from abstracts presented at scientific meetings were identified by the authors. Study Selection and Data Extraction: All identified studies were screened and those judged relevant to the update were evaluated. Data Synthesis: New or clinically significant data since 1992 that related to peptic ulcer disease, microbial resistance (e.g., Enterococcus spp., Streptococcus pneumoniae, Mycobacterium tuberculosis, Candida albicans), immunomodulators, and AIDS were evaluated and compared with previous data. Conclusions: There have been several exciting and significant changes in infectious diseases pharmacotherapy evident from this review.


2021 ◽  
Vol 149 ◽  
pp. 111999
Author(s):  
Anatoly V. Skalny ◽  
Thania Rios Rossi Lima ◽  
Tao Ke ◽  
Ji-Chang Zhou ◽  
Julia Bornhorst ◽  
...  

Author(s):  
Ahmet Bulut

This chapter introduces a new framework called “I3: Instrument, interconnect, and cultivate intelligence framework.” This framework can be used to drive the transformation of today’s not so smart cities into the smart cities of tomorrow. In i3, instrumentation is used to collect data, which is important, because data provides measurability, and measurement can lead to improvement. Interconnection in i3 is used to discover associations and relationships between seemingly independent subsystems in a city. In i3, controlled experiments are easily setup and run to test each individual policy. The intelligence bit in i3 comes from being able to test specific policy hypotheses and conduct rigorous analysis and synthesis of the integrated data. The i3 framework helps city officials and researchers discover valuable knowledge, make informed decisions based on the results of various policies that are put in place, and facilitates the culture of experimentation at every policy decision level. The overarching goal in i3 is to discover routine and well-structured patterns in city management operations, turn them into best practices, and finally automate the execution of such practices so that the framework itself can take a major responsibility over city management. In this chapter, a roadmap is provided as a guideline for policymakers to successfully deploy i3 in their jurisdiction. By using i3 continually, a regular city can be transformed into a smart city faster.


Author(s):  
Pengfei Wang ◽  
Xiangyu Su ◽  
Maxim Jourenko ◽  
Zixian Jiang ◽  
Mario Larangeira ◽  
...  

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