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Volume 2023, Issue 1
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A crisis within a crisis: Role of COVID-19 pandemic in poor compliance of Community-based Management of Severe Acute Malnutrition among children younger than five years in Pakistan
Introduction
In order to attain Sustainable Development Goal 2 (SDG-II) of eradicating malnutrition among children by 2030, Pakistan has initiated a Community-based Management of Severely Acute Malnutrition (CMAM) program. This program has been established at the public level to detect and treat uncomplicated Severely Acute Malnourished (SAM) children at an early stage. However, during the outbreak of COVID-19, very poor compliance with the CMAM program was observed. Consequently, the nutritional quality of children’s diets has deteriorated, with malnutrition rates expected to rise. Therefore, this study has been set up to evaluate the effect of the COVID-19 lockdown on the health of SAM children and compliance with the CMAM program.
Methodology
This study used a multicenter cross-sectional design in District Dera Ghazi Khan’s rural areas located in the Southern Province of Punjab. Data were collected from the parents/guardians of SAM children through the researcher-administrated questionnaire. The sample size was 196, and data were analyzed through SPSS version 25.
Results
The majority of the children enrolled were males (52.5%), had fathers aged between 41 and 50 years (52.0%), mothers aged between 21 and 30 years (52.5%), had illiterate fathers (40.1%), illiterate mothers (73.8%) and had a monthly household income of PKR <15,000 (91.1%). All of the respondents mentioned that COVID-19 affected them in one way or the other (100.0%), with a majority of them did not visit the hospital during COVID-19 for their SAM child (52.5%) as they were afraid of COVID-19 (63.2%) and/or they lacked access to transport for visiting a hospital (93.4%). Bivariate analysis revealed that the father’s age (P = 0.02) and income (P = 0.00) is associated with the perceived effect of COVID-19 on income. In contrast, only the gender of the child (P = 0.00) is related to the visit to the hospital, and the gender of the child (P = 0.01) and mother’s literacy (P = 0.00) is associated with the choice of treatment from any other setup, including Hakeem and Peer.
Conclusion
This study concludes that health emergencies like the COVID-19 pandemic pose a significant barrier to access to healthcare services and subject a more vulnerable state to already vulnerable groups like SAM children. To lessen their vulnerability, initiatives like mobile health care services should be introduced, especially for socially disadvantaged communities, localities, and groups on regular basis and for future emergencies.
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- Research Article
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Investigation of the gallbladder for the presence of pathogenic bacteria and their antibiotic susceptibility pattern
Authors: Ayesha Ghazal, Sidrah Saleem, Usman Arshad, Shahnoor Azhar and Faiz Ul HaqBackground: The gallbladder is an essential organ in the human body that functions as an antioxidant. Cholangitis and pyogenic cholecystitis are two significant reasons for cholecystectomy. The significance of establishing microbial cultures and antibiotic susceptibility is that suitable antibiotics can be supplied because the infection can lead to severe consequences and death if not treated properly. However, very limited data is available on this matter. Therefore, this study is an attempt to investigate the presence of bacterial pathogens causing gallbladder disease and antibacterial susceptibility patterns to assess the choice of antibiotic. Moreover, both gallbladder’s wall and bile samples were investigated for accurate results. None of the past studies have worked on the gallbladder and the bile simultaneously.
Objective: A prospective analytical study was conducted from July to December 2014. Blood, MacConkey agar, and Robertson cooked medium were used to culture all the clinical samples. After 24 and 48 hours of incubation, culture plates were examined for evident growth. Standard microbiological procedures were used to identify the isolated species. Antibiotic susceptibility tests were performed, and the isolated bacteria were also examined for extended-spectrum beta-lactamase (ESBL) development.
Results: Among 60 patients, 66% were positive for bacteria in the gallbladder wall or bile, or both. Gramnegative bacteria were the most commonly isolated ones. Due to ESBL production, bacteria were mainly resistant to all cephalosporins and Augmentin. However, aminoglycosides, carbapenem, and antibiotics combination were the most effective.
Conclusion: It can be concluded that organisms are more resistant now due to ESBL production, so the old regimen of antibiotics might not be effective in treating them. The considerable culture-positive rate highlights the significance of acquiring bile and gallbladder wall bacterial cultures to administer the proper antibiotics at cholecystectomy. To avoid major complications like gram-negative septicemias, necessary adjustments must be made by the results of antibiotic sensitivity tests.
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Personal Healthcare Data Records Analysis and Monitoring using The Internet of Things and Cloud Computing
By Atef ZaguiaThis paper presents a proposed system for cloud-based and Internet o Things (IoT)-based electronic health records (EHRs) that utilize wearable body biosensors to collect biometric data in real time and analyze it to provide personalized therapy recommendations. The study aims to ensure the confidentiality and integrity of patient data through security authorizations, device authentication, and encrypted communication channels. The research method involves describing the proposed system’s communication environment and trust boundary and illustrating the communication mechanisms, including the “starting” and “authentication” procedures. The proposed communication protocols are also explained in detail, and a complete illustration of the symbols and abbreviations used throughout the work is provided. The initialization process involves contacting a body sensor network (BSN) server to register, generating a secret key, and assigning a track sequence number. The proposed systematic verification involves a dependable authentication solution to maintain secure communication between the biosensors, local processing unit (LPU), and BSN server. The verification process involves figuring out the values and generating a random integer, establishing communication with the receiver, and validating the data by searching for a corresponding tuple in the required database. The study emphasizes the importance of a robust IoT communication architecture to ensure secure data transfer between devices, networks, and individuals.
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