Recent studies have shown that designing communication systems at nanoscale and microscale for the Internet of Bio-Nano Things (IoBNT) applications is possible using Molecular Communication (MC), where two or multiple nodes communicate with each other by transmitting chemical molecules. The basic steps involved in MC are the transmission of molecules, propagation of molecules in the medium, and reception of the molecules at the receiver. Various transmission schemes, channel models, and detection techniques have been proposed for MC in recent years. This paper, therefore, presents an exhaustive review of the existing literature on detection techniques along with their transmission schemes under various MC setups. More specifically, for each setup, this survey includes the transmission and detection techniques under four different environments to support various IoBNT applications: (i) static transmitter and receiver in a pure-diffusive channel, (ii) static transmitter and receiver in a flow-induced diffusive channel, (iii) mobile transmitter and receiver in a pure-diffusive channel, (iv) mobile transmitter and receiver in a flow-induced diffusive channel. Also, performances and complexities of various detection schemes have been compared. Further, several challenges in detection and their possible solutions have been discussed under both static and mobile scenarios. Furthermore, some experimental works in MC are presented to show realistic transmission and detection procedures available in practice. Finally, future research directions and challenges in the practical design of the transmitter and receiver are described to realize MC for IoBNT health applications.
INTRODUCTION: Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis and is one of the major public health problems in developing countries like Nepal. Despite the availability of effective tuberculosis treatment regimens, patients must take a combination of anti-tubercular drugs for at least six months and may endure numerous side effects, making treatment compliance exceedingly difficult to maintain. The primary objective of the study was to assess the adherence rate to anti-tubercular agents and to find the prevalence of adverse drug reactions to the anti-tubercular therapy.
MATERIALS AND METHODS: This study was an observational study conducted in the DOTS centers of UCMS-TH, Bhairahawa, and Lumbini Provincial Hospital Butwal. A semi-structured questionnaire was used to collect data from 170 participants to determine the adherence rate to anti-tubercular therapy and the incidence of associated adverse drug reactions. Statistical Package for Social Sciences (SPSS Version 20) program was used to enter and analyze the data. The association between adherence and other variables was established using the Chisquare test.
RESULTS: The adherence rate to anti-tubercular therapy was found to be 159 (93.5%). The major reasons for non-adherence include forgetfulness 8 (72.72%) followed by adverse effects 2 (18.18%) and transport difficulty in reaching the health facility 1 (9.1%). The prevalence of adverse drug reactions was 58 (34.12%) (27.1 - 41.2 at 95% Confidence Interval). Adherence was significantly associated with the experience of adverse effects, literacy, marital status, area of residence, and age of the participants.
CONCLUSIONS: The adherence rate to anti-tubercular therapy was very high, which can be the primary determinant of tuberculosis treatment success.
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