Nosocomial infections and associated risk factors at two tertiary healthcare facilities in Lusaka and Copperbelt Provinces, Zambia

Mukomena, Patrice Ntanda; Munsaka, Sody; Simuunza, Martin; Kwenda, Geoffrey; Yamba, Kaunda; Kabwe, Josephine; Mukubesa, Andrew Nalishuwa; Bumbangi, Flavien Nsoni; Ndebe, Joseph; Libonda, Liyali; Mutemba, Charles; Fwoloshi, Sombo; Kayembe, Jean‐Marie; Muma, John Bwalya

doi:10.1016/j.sciaf.2023.e01644

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…Penyakit Covid-19 sudah mulai dapat dikendalikan penyebarannya, namun tidak menutup kemungkinan terjadinya mutasi virus kembali di masa depan sehingga bisa jadi pandemi yang mengancam nyawa manusia dapat terulang kembali. Penyebaran virus dan bakteri dapat juga terjadi di lingkungan rumah sakit, di mana penyebaran infeksi tersebut sering disebut juga sebagai infeksi nosokomial [1]- [3]. Infeksi nosokomial terjadi pada penderita, tenaga kesehatan, dan juga setiap orang yang datang ke rumah sakit.…”

Section: Pendahuluanunclassified

Hardware Design of the Touchless Hand Code and Convolutional Neural Networks - Based Automatic Door Security System

Prihanto,

Effendy,

Nopriadi

2023

J. Tek. Inform. (JUTIF)

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The spread of viruses and bacteria through touching door surfaces is essential in maintaining public hygiene and health. In this context, a hand-coded touchless automatic door hardware design has been developed to reduce the spread of diseases through touch. This research aims to create a plan that includes interface development and hardware design to open and close doors automatically without contact. In this research, the automatic door hardware response is tested based on the numeric input from the hand code represented by the numeric database. The input and output control is connected to Python's graphical user interface (GUI). The GUI system design involves tools to connect the Python programming language and the Arduino microcontroller. Based on the experimental results, the hardware design of the automatic door security system based on hand code and Convolutional Neural Networks functions appropriately.

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Section: Pendahuluanunclassified

Hardware Design of the Touchless Hand Code and Convolutional Neural Networks - Based Automatic Door Security System

Prihanto,

Effendy,

Nopriadi

2023

J. Tek. Inform. (JUTIF)

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“…Nine participants were psychiatric patients presenting with infected wounds. More than half (62%) of participants reported a history of previous hospital exposure within the past 30 days, which were prior medical visits or being ex-bedsiders taking care of patients [16] . A retrospective investigation of the clinical data of HAI patients in Dongying People's Hospital in China from January 1, 2018, to December 31, 2021, was carried out.…”

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Epidemiology and Risk Factors of Nosocomial Infection in Hospitalized Children and Adults: A Review

Chkhaidze,

Imnadze,

Malania

et al. 2024

IJAMRS

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Nosocomial infections (NI) or healthcare-associated infections (HAI) are infections not present at the time of admission to a hospital and manifest 48 hours after hospital admission. The specific factors contributing to the risk of infection during hospitalization remain unclear. Nosocomial infections are a growing public health threat that increases patient morbidity and mortality. Nosocomial infections (NIs) could lead to considerably longer length of the hospital stays and higher costs. Besides, the unreasonable use of antibiotics could lead to development resistance to different antibiotics and create limited therapeutic options, increased risks of treatment failure and poor patient management. These infections are a serious public health problem affecting both developed and developing countries. This study aimed to investigate the current status and changing trend of NI in various parts of the world, to provide a reference for the prevention and control of healthcare-associated infections.

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Antimicrobial resistance profiles of and associated risk factors for Pseudomonas aeruginosa nosocomial infection among patients at two tertiary healthcare facilities in Lusaka and Copperbelt Provinces, Zambia

Mukomena,

Simuunza,

Munsaka

et al. 2024

JAC-Antimicrobial Resistance

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Background Antimicrobial resistance (AMR) of pathogens such as Pseudomonas aeruginosa is among the top 10 threats to global health. However, clinical and molecular data are scarce in Zambia. We, therefore, evaluated the AMR profiles of P. aeruginosa nosocomial infections (NIs). Methods A year-long hospital-based cross-sectional study was conducted at two large tertiary-level hospitals in Zambia. Patients with current or previous hospital contact were screened for NIs. The current study focused on patients diagnosed with P. aeruginosa NIs. Clinical specimens were collected for bacteriological culture, and PCR amplification of 16S rRNA gene fragments was performed on pure isolates. Hospital or NIs were defined as infections that arise during hospitalization, occurring at least 48 h after admission. The Kirby–Bauer’s disk diffusion method was used to evaluate antibiotic resistance patterns. The association between AMR and risk factors was analysed using the χ2 test. Results Eight hundred and forty-one patients were screened, and clinical specimens were collected and analysed. Of them, 116 (13.7%) were diagnosed with P. aeruginosa NIs. The participants’ ages ranged from 15 to 98 years, with a mean of 51 (SD ± 18). Catheter-associated urinary tract infections (57%) were the most common, followed by pressure sores (38.7%). P. aeruginosa isolates were primarily susceptible to amikacin, which had the highest resistance to FEP. We observed a high prevalence of multidrug resistance (73.6%). The AMR was associated with carbapenem-hydrolysing β-lactamase gene blaOXA-51 and surgical care. Conclusions This study has demonstrated that multidrug-resistant P. aeruginosa is prevalent in hospitals in Zambia’s Lusaka and Ndola districts and possibly countrywide.

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Nosocomial infections and associated risk factors at two tertiary healthcare facilities in Lusaka and Copperbelt Provinces, Zambia

Cited by 4 publications

References 15 publications

Hardware Design of the Touchless Hand Code and Convolutional Neural Networks - Based Automatic Door Security System

Hardware Design of the Touchless Hand Code and Convolutional Neural Networks - Based Automatic Door Security System

Epidemiology and Risk Factors of Nosocomial Infection in Hospitalized Children and Adults: A Review

Antimicrobial resistance profiles of and associated risk factors for Pseudomonas aeruginosa nosocomial infection among patients at two tertiary healthcare facilities in Lusaka and Copperbelt Provinces, Zambia

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