Review
COVID-19
Samuel Olorunfemi Adams; Godwin Somto
Abstract
Background: COVID-19 has claimed the lives of millions of people in Nigeria and around the world during the last two years. It is a recognized global health crisis of our day, as well as a persistent threat to the earth. The goal of this study was to examine the trend and fit an Error Trend and Seasonal ...
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Background: COVID-19 has claimed the lives of millions of people in Nigeria and around the world during the last two years. It is a recognized global health crisis of our day, as well as a persistent threat to the earth. The goal of this study was to examine the trend and fit an Error Trend and Seasonal (ETS) exponential smoothing and Autoregressive Integrated Moving Average (ARIMA) model to Nigeria's COVID-19 daily fatalities.Methods: A dataset of daily COVID-19 confirmed fatality cases was used in the investigation. Data was acquired from the Nigerian Centre for Disease Control (NCDC) web database between the 10th of July 2020 and the 2nd of December 2021. The ARIMA model and twelve (12) ETS exponential smoothing techniques were investigated using a dataset of COVID-19 pandemic deaths in Nigeria. The ARIMA and ETS exponential smoothing algorithms were evaluated using the Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Hannan Quinn Information Criterion (HQC), and Average Mean Squared Error (AMSE) selection criteria.Result: The ARIMA (0,1,0) model was the best time series modeling for the coronavirus (COVID-19) epidemic in Nigeria since it had the lowest AIC=2863.51, BIC=2866.90, HQ = 2866.90, and AMSE = 0.55471 values.Conclusion: The ARIMA (0,1,0) model is preferred above the other thirteen (13) competing models based on daily confirmed COVID-19 deaths in Nigeria. This research would assist the Nigerian government in better understanding the pestilence's evolution pattern and providing adequate provisions, prompt mediation, and treatment to prevent additional deaths caused by the virus.
Original Article
COVID-19
Jose Luis Turabian
Abstract
Background: Longitudinal data on SARS-CoV-2 re-infection are scarce. Objectives: 1) Characterize COVID-19 reinfection cases clinically and epidemiologically; 2) Determine whether the risk of SARS-CoV-2 reinfection has altered over time in the context of the development of beta, delta, and omicron ...
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Background: Longitudinal data on SARS-CoV-2 re-infection are scarce. Objectives: 1) Characterize COVID-19 reinfection cases clinically and epidemiologically; 2) Determine whether the risk of SARS-CoV-2 reinfection has altered over time in the context of the development of beta, delta, and omicron variants.Methods: From March 1, 2020 to July 1, 2022, an observational, longitudinal, and prospective investigation of Covid-19 re-infections was done in a general medical practice in Toledo, Spain.Results: There were 43 cases in total, including 45 reinfections (2 cases presented 2 reinfections). The average period between first infection and reinfection was 346 days (range: 95-813 days). The average age was 41 years (range: 17-70 years). 5% were over the age of 65. 56% were female. 14% belonged to an ethnic minority. 82% of reinfections occurred among individuals who had been vaccinated (19%, 28%, and 35% in those who had received one dose, two doses, and a booster, respectively). They were symptomatic in 96% of the cases. All cases of reinfection were minor, with nonspecific symptoms (discomfort, asthenia, myalgia, fever, arthralgia) predominating (39%). Chronic illnesses were present in 60% of reinfection cases, with the Genitourinary (19%), Endocrine (17%), and Respiratory (16%) systems predominately. Reinfections have been steadily growing since 2020, with 67% occurring in 2022.Conclusion: We discovered evidence of a continual increase in the incidence of reinfections in Toledo, Spain, primarily beginning in January 2022, which is temporally congruent with the introduction of the omicron variety, indicating its improved ability to infect previously infected persons.
Original Article
Epidemiology
Hulera Usman Kabido; Joseph Fuh Nfongeh; Victor Kolawole Fadayomi; Onyemachi Ifeanyi Adibe; Abdullahi Shuaibu Kabiru; Nafisat Tijjani Dalhat; Yahuza Jibrin Abubakar
Abstract
Background: Due to its persistent nature, ulcers brought on by Helicobacter pylori have been a significant public health concern. This study looked at how specific risk factors affected the prevalence of Helicobacter pylori infection among peptic ulcer patients visiting medical institutions in Lafia, ...
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Background: Due to its persistent nature, ulcers brought on by Helicobacter pylori have been a significant public health concern. This study looked at how specific risk factors affected the prevalence of Helicobacter pylori infection among peptic ulcer patients visiting medical institutions in Lafia, Nigeria. Methods: The blood and stool samples of 180 individuals (71 men and 109 women) were collected randomly, checked for H. pylori using test strips for H. pylori antibodies and antigens (Azure Biotech Inc.), and the feces also were grown on Columbia blood agar base (TITAN Biotech Ltd). Using a standardized questionnaire, some participant risk data was also gathered.Results: A positive culture method (CM) test result was obtained from 14/71 (19.72%) of the 71 male patients and 37/109 (33.94%) of the 109 female subjects out of a total of 210 subjects. For CM alone, it was discovered that female participants had a considerably greater incidence of Helicobacter pylori infection than their male counterparts (p=0.038). Nevertheless, all analytical techniques discovered no evidence of a significant difference between age groups (p>0.05). Only the blood antibody (BAB) approach showed a substantially greater prevalence (p=0.021) in married patients, with 79/116 (68.10%) reactive instances. The presence of drinking water source (p < 0.001, 0.001, 0.002 using CM, BAB, and SAG, respectively) and number of occupants per room (p < 0.001, 0.001, 0.002 using CM, BAB, and SAG, respectively) as potential risk factors for H. pylori infection was also demonstrated.Conclusion: The majority of risk factors that were taken into consideration for this study demonstrated a strong correlation with Helicobacter pylori infection in Lafia, Nigeria.
