There is an immense concern in the international community about controlling the outburst of infectious diseases. An essential step towards diminishing it is the…
There is an immense concern in the international community about controlling the outburst of infectious diseases. An essential step towards diminishing it is the development of an adequate detection system. Among the huge plethora of microorganisms which may infect the human body, Streptococcus pyogenes is important one which infects the upper respiratory tract leading to sore throat, which eventually develops into rheumatic heart disease (RHD) in the absence of timely treatment. A major process in controlling the infection is to detect it at an early stage. Hence, there is a need to develop detection tools which are both rapid and reliable.
Different types of diagnostic methods are available for identification, but the most commonly used are culturing, staining and rapid antigen detection tests. For better sensitivity and specificity, this review describes the development of biosensor. Compared with the current available methods, which are usually cumbersome, time-consuming and expensive, this approach features sequence specificity, cost efficiency, rapid and ease of use.
This review outlines various sensors which are available for the detection of Streptococcus pyogenes which causes human RHD. The working scheme of the sensors, their sensitivity and limitation of detection has been described in the review.
The review fulfills an acknowledged the need to study various sensors that are available for the detection of Streptococcus pyogenes, causing human RHD.
The purpose of this paper is to explore the drivers of healthcare waste management from literature review and field survey and model these drivers for understanding the…
The purpose of this paper is to explore the drivers of healthcare waste management from literature review and field survey and model these drivers for understanding the inter-relationships among the drivers to enhance healthcare waste management in the Indian context.
In view of the need of the study, the interpretive structural modelling (ISM) method has been applied to model the drivers. The ISM method helps in depicting the relationships among the drivers and filtration of drivers on the basis of their driving and dependence power.
The findings of the study reveal that the type of a healthcare facility and its management structure, size of a healthcare facility, human resource management of a healthcare facility, healthcare facility’s management monitoring and control, and the effective re-enforcement of government regulation and policy implementation in a healthcare facility play a vital role in the enhancement of HCWM.
The application of the findings of this study would enhance the hospital’s waste management by ultimately leading to a good ambience and satisfied patients and personnels. Additionally, the study would aid in the policy formulation by government and decision making of medical facilities, thereby strengthening HCWM scenario in the country.
The drivers filtered in this study would be useful for ranking the hospitals’ healthcare waste management in a region/country. This ranking may play a vital role in earmarking the hospitals which are managing their healthcare waste according to the guidelines of Central Pollution Control Board (CPCB) and Ministry of Environment and Forest (MoEF) of a country. With the help of this study, the problem of inadequate human resource can be effectively addressed for CPCB and MoEF, in India.
Healthcare waste management is a vital issue which needs attention from the management perspective in India. Therefore, an interpretive structural model, i.e. ISM digraph, has been developed which would help in the filtration of drivers and attaining the better healthcare waste management in an economically and timely manner.