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1.
Simulation ; 2022.
Article in English | Scopus | ID: covidwho-2138508

ABSTRACT

The development of safe and effective vaccines against COVID-19 has been a turning point in the international effort to control this disease. However, vaccine development is only the first phase of the COVID-19 vaccination process. Correct planning of mass vaccination is important for any policy to immunize the population. For this purpose, it is necessary to set up and properly manage mass vaccination centers. This paper presents a discrete event simulation model of a real COVID-19 mass vaccination center located in Sfax, Tunisia. This model was used to evaluate the management of this center through different performance measures. Three person’s arrival scenarios were considered and simulated to verify the response of this real vaccination center to arrival variability. A second model was proposed and simulated to improve the performances of the vaccination center. Like the first model, this one underwent the same evaluation process through the three arrivals scenarios. The simulation results show that both models respond well to the arrival’s variability. Indeed, most of the arriving persons are vaccinated on time for all the studied scenarios. In addition, both models present moderate average vaccination and waiting times. However, the average utilization rates of operators are modest and need to be improved. Furthermore, both simulation models show a high average number of persons present in the vaccination center, which goes against the respect of the social distancing condition. Comparison between the two simulation models shows that the proposed model is more efficient than the actual one. © The Author(s) 2022.

2.
European Journal of Clinical Pharmacology ; 78(SUPPL 1):S139-S139, 2022.
Article in English | Web of Science | ID: covidwho-1913048
3.
International Journal of Gynecological Cancer ; 31(Suppl 4):A42, 2021.
Article in English | ProQuest Central | ID: covidwho-1495506

ABSTRACT

ObjectivesThe aim of our study is to study the impact of covid19 on patients waiting surgery.MethodsWe retrospectively reported 33 patients diagnosed breast carcinoma and underwent surgery at salah azaiez institute Tunisia between 18/3/2020 and 29/3/2020 (72 days).ResultsDuring the first pandemic of COVID-19, 33 patients underwent breast surgery, the mean age was 51 years (ranging 34–82). 28 patients had Social insurance.28 patients patient belongs to urban environment.11 patients had neoadjuvant chemotherapy.Invasive ductal carcinoma is more frequent (30 cases), tumors had a high brad nuclear in 18 cases. In 16 cases the tumor had stade IIB, axillary lymph node metastasis were found in 20 patients. 11 patients underwent radical surgery and only one patient had plastic reconstruction.ConclusionsThe COVID-19 pandemic has affected just about every aspect of life, including screening, diagnosis, treatment, and follow-up care for breast cancer. People who’ve been diagnosed with breast cancer and people who are at high risk for breast cancer have found themselves in a uniquely difficult and sometimes frightening position since the coronavirus crisis began.

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