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Overuse of antibiotics during coronavirus disease 2019 (COVID-19) in an attempt to reduce COVID-19 mortality in the short term may have contributed to long-term mortality from antimicrobial resistance (AMR). The aim of this study was to evaluate the impact of the COVID-19 pandemic on AMR in Egypt and map the distribution of multidrug-resistant (MDR) and extensive drug-resistant (XDR) across Egypt. Through a multicenter cross-sectional study 2430 culture results were collected in 2019 and 2022 pre and post-COVID-19 pandemic in Egypt, including 400 Klebsiella pneumoniae, 760 Escherichia coli, 650 Acinetobacter baumannii, and 620 Methicillin-resistant staphylococcus aureus (MRSA) culture results. MDR and XDR culture results distribution across Egypt was highlighted through the geographic information system. Mixed effect logistic regression models and sub-group analysis were performed according to the type of specimens to test the impact of COVID-19 on resistance. Adjusted analysis demonstrated K. pneumoniae resistance has increased against quinolones and carbapenems (P < 0.001). Resistance of E. coli has increased significantly against imipenem and meropenem. While E.coli susceptibility has increased to cefoxitin, levofloxacin, and ciprofloxacin. A. baumannii resistance has increased more than double against ceftazidime, cefepime, and piperacillin-tazobactam (P < 0.001). MRSA reserved its susceptibility to vancomycin and linezolid. MDR K. pneumoniae and A. baumannii have increased post-COVID-19 from 67% to 94% and from 79% to 98%, respectively (P < 0.001). XDR K. pneumoniae and A. baumannii have increased from 6% to 46%, and from 47% to 69%, respectively (P < 0.001). COVID-19 has changed the profile of AMR in Egypt so that urgent action is required to mitigate this threat and preserve our capacity to face infections in future decades.

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Air pollution represents one of the major environmental stressors with serious implications on human health and ecosystem health. Recently remote sensing imageries; as an alternative cost and time-effective method compared with regular monitoring techniques, were used for provision of appropriate data concerning air quality over large areas. In this context, Sentinel-5P satellite provides high-resolution images of atmospheric pollutants including nitrogen dioxide, ozone, carbon monoxide (CO) and particulate matter (PM). The current work aims to delineate vulnerability of densely populated areas in Northern-Egypt to air pollution through retrieving CO and PM2.5 from Sentinel-5P images and validate the retrieved data through simultaneous In-Situ measurements. For this purpose, our approach comprised four-step methodology; data acquisition on study area, data manipulation, validation of retrieved air quality data and mapping the vulnerability to air pollution. Based on the data retrieved from the imagery, a composite vulnerability index for each CO and PM2.5 value was developed delineating the most vulnerable areas to air pollution in the Northern Nile Delta region. Such results revealed that Sentinel-5P imagery can serve as a valuable tool for monitoring air quality and assessing vulnerability of densely populated areas to air pollution. Accordingly, it can be concluded that the applied Sentinel-5P based model can be applied effectively for other air pollutants and can be extrapolated to other areas with similar and/or different environmental settings.

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BACKGROUND: Seasonal influenza vaccines (SIVs) can protect against influenza and substantially reduce the risk of influenza-related hospitalizations and fatalities in children. This study aimed to assess parental attitudes towards SIVs in the Eastern Mediterranean region (EMR). METHODS: Through an anonymous online survey conducted in 19 countries in the EMR, parents or caregivers over 18 years who had at least one child above 6 months filled out the Parent Attitudes about Childhood Vaccines questionnaire. As data had two levels; country and individual factors, we utilized multilevel binary logistic regression models. RESULTS: In total, 6992 respondents filled out the questionnaire. Of them, 47.4 % were residents of middle-income countries, 72.4 % of the mothers were between 26 and 45 years old, 56.5 % had at least a university degree, and approximately 51.6 % were unemployed. Nearly 50.8 % of the respondents were hesitant to vaccinate their children against seasonal influenza. Parental attitudes towards seasonal influenza vaccination differed significantly between countries, p < 0.001. The main predictors of parental seasonal influenza vaccine hesitancy (VH) were parents vaccination (odds ratio (OR) = 0.42, 95 % CI = 0.32-0.55, p < 0.001)), the mother's education if mother educated vs. who did not receive any education (OR ranged from 0.48 to 0.64, p < 0.05), living in low-income countries (OR = 0.52, 95 % CI = 0.35-0.77, p < 0.01), mountain residence (0.69, 95 % CI = 0.49-0.99, p < 0.05), health workers as a source of information (OR = 0.70, 95 % CI = 0.58-0.85, p < 0.001), children vaccination against COVID-19 (OR = 0.52, 95 % CI = 0.41-0.65, p < 0.001), not receiving routine vaccinations (OR = 1.93, 95 % CI = 1.09-3.44, p = 0.025), and if parents respondents could not remember whether their child had suffered from seasonal influenza in the previous year (OR = 1.57, 95 % CI = 1.33-1.84, p < 0.001). CONCLUSION: A high seasonal influenza VH rate was found in the EMR. Health authorities should implement different interventions targeting the identified modifiable risk factor to increase vaccine uptake among children, especially those at risk of complication from seasonal influenza infection.

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BACKGROUND: Monkeypox was designated as an emerging illness in 2018 by the World Health Organization Research and Development Blueprint, necessitating expedited research, development, and public health action. In this review, we aim to shed the light on the imported cases of monkeypox in attempt to prevent the further spread of the disease. Methodology An electronic search in the relevant database (Web of Science, PubMed Medline, PubMed Central, Google scholar, and Embase) was conducted to identify eligible articles. In addition to searching the grey literature, manual searching was carried out using the reference chain approach. RESULTS: A total of 1886 articles were retrieved using the search strategy with 21 studies included in the systematic review. A total of 113 cases of imported monkeypox were confirmed worldwide. Nineteen patients mentioned a travel history from Nigeria, thirty-eight infected cases had travel destinations from Europe, fifty-four cases traveled from European countries such as; Spain, France, and the Netherlands, one case from Portugal, and another one from the United Kingdom (UK). All reported clades of the virus were West African clade. Nine studies showed the source of infection was sexual contact, especially with male partners. Six studies mentioned the cause of infection was contact with an individual with monkeypox symptoms. Two studies considered cases due to acquired nosocomial infection. Ingestion of barbecued bushmeat was the source of infection in three studies and rodent carcasses were the source of infection in the other two studies. CONCLUSION: The development of functioning surveillance systems and point-of-entry screening is essential for worldwide health security. This necessitates ongoing training of front-line health professionals to ensure that imported monkeypox is properly diagnosed and managed. In addition, implementing effective health communication about monkeypox prevention and control is mandatory to help individuals to make informed decisions to protect their own and their communities' health.

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The promise of COVID-19 vaccines in ending the pandemic can only be achieved by overcoming the challenge of vaccine refusal. Healthcare workers (HCWs) are the trusted advisors of vaccination decisions. Recommendations for vaccinating children against COVID-19 are recently gaining more public health attention due to the role of children in disease transmission and associated morbidities. Vaccination is one of the first medical decisions parents or guardians make on behalf of their children. To investigate the determinants associated with vaccine acceptability among the general population through a direct interview questionnaire and assess guardians' views towards childhood COVID-19 vaccinations. This cross-sectional study included 2919 participants A pre-designed structured questionnaire about COVID-19 vaccination acceptability was completed by trained interviewers and interviewing the participants or their guardians (for those below 18 years old). Nearly two-thirds of participants (66.5%) accepted vaccination, 20.2% were refusing and 13.3% were hesitant. Most participants who were guardians of children below 12 years and from 13 to 17 years reported that they would accept vaccination of their children (72.5% and 70.5%, respectively). The acceptance rate among HCWs was 58.2%. The main reasons beyond vaccine refusal were mistrust of vaccine efficacy (39.5%) and having concerns regarding vaccine safety (38.8%). In a multivariable regression model, being male (OR 1.362, 95% CI 1.082-1.714, p = 0.008) resident in rural area (OR 1.796, 95% CI 1.435-2.247, p = 0.000), and lower education (OR 1.245, 95% CI 1.018-1.523, p = 0.033) were associated with an increased acceptance to be vaccinated. The acceptance rate for vaccinating children reported among their guardians was higher than adults for themselves. Extremes of age showed higher vaccine acceptance compared to young adults. Upper Egypt governorates (Faiyum and Giza) were outpacing Lower Egypt governorates in vaccination acceptance rates.

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BACKGROUND: Population-based studies on COVID-19 have important implications for modeling the pandemic and determining vaccination policies. Limited data are available from such surveys in Egypt. METHODS: This cross-sectional was conducted throughout the period between January and June 2021, which coincided with the second and third waves of the COVID-19 pandemic in Egypt. At that time, vaccines against COVID-19 were not available to the general population. The study was carried out in eight Egyptian governorates and included 2360 participants, who were recruited through a multistage stratified cluster sample technique, based on gender, age, and district followed by a random sample within each district. Socio-demographic data were recorded and serum samples were collected and tested for SARS-Co-V2 spike (S) antibodies. RESULTS: The overall adjusted prevalence of anti-S was 46.3% (95% CI 44.2-48.3%), with significant differences between governorates. Factors associated with anti-S seropositivity were: being female (p = 0.001), living in a rural area (p = 0.008), and reporting a history of COVID-19 infection (p = 0.001). Higher medians of anti-S titers were significantly associated with: extremes of age (p < 0.001), living in urban areas, having primary education (p = 0.009), and reporting a history of COVID-19 infection, especially if based on chest CT or PCR (p < 0.001). CONCLUSIONS: High seroprevalence rates indicate increased COVID-19 infection and immune response among a considerable percentage of the community. Age, gender, residence, educational level, and previous PCR-confirmed COVID-19 infections were all determinants of the immune response.

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Corona virus diseases 2019 (COVID-19) pandemic is an extraordinary threat with significant implications in all aspects of human life; therefore, it represents the most immediate challenge for the countries all over the world. This study, hence, is intended to identify the best GIS-based model that can explore, quantify, and model the determinants of COVID-19 incidence and fatality. For this purpose, geospatial models were developed to estimate COVID-19 incidence and fatality rates in Africa, up to 16th of August 2020 at the national level. The models involved Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) analysis using ArcGIS. Spatial autocorrelation analysis recorded a positive spatial autocorrelation in COVID-19 incidence (Moran index 0.16, P = 0.1) and fatality (Moran index 0.26, P = 0.01) rates within different African countries. GWR model had higher R2 than OLS for prediction of incidence and mortality (58% vs 45% and 55% vs 53%). The main predictors of COVID-19 incidence rate were overcrowding, health expenditure, HIV infections, air pollution, and BCG vaccination (mean ß = 3.10, 1.66, 0.01, 3.79, and -66.60 respectively, P < 0.05). The main determinants of COVID-19 fatality were prevalence of bronchial asthma, tobacco use, poverty, aging, and cardiovascular diseases fatality (mean ß = 0.00162, 0.00004, -0.00025, -0.00144, and -0.00027 respectively, P < 0.05). Application of the suggested model can assist in guiding intervention strategies, particularly at the local and community level whenever the data on COVID-19 cases and predictors variables are available.

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