Objective: Globally, cervical cancer (CC) incidence is higher in rural areas than in urban areas that could be explained by the influence of many factors, including inequity in accessibility of the CC prevention measures. This review aimed to identify and analyze factors associated with a lack of cervical cancer screening and HPV vaccination programs in people living in rural areas and to outline strategies to mitigate these factors. Methods: The literature search encompassed two focal domains: cervical cancer screening and HPV vaccination among populations residing in rural areas, covering publications between January 1, 2004 to December 31, 2021 in the PubMed, Google Scholar, Scopus, and Cyberleninka databases, available in both English and Russian languages. Result: A literature review identified 22 sources on cervical cancer screening and HPV vaccination in rural and remote areas. These sources revealed similar obstacles to screening and vaccination in both high and low-income countries, such as low awareness and knowledge about CC, screening, and HPV vaccination among rural residents; limited accessibility due to remoteness and dearth of medical facilities and practitioners, associated with a decrease in recommendations from them, and financial constraints, necessitating out-of-pocket expenses. The reviewed sources analyzed strategies to mitigate the outlined challenges. Possible solutions include the introduction of tailored screening and vaccination campaigns designed for residents of rural and remote locations. New screening and vaccination sites have been proposed to overcome geographic barriers. Integrating HPV testing-based CC screening is suggested to counter the lack of healthcare personnel. HPV vaccination is essential for primary cervical cancer prevention, especially in rural and remote areas, as it requires less medical infrastructure. Conclusion: Certain measures can be proposed to improve the uptake of CC screening and HPV vaccination programs among rural residents, which are needed to address the higher prevalence of CC in rural areas. Further investigation into cervical cancer prevention in rural and remote contexts is necessary to ascertain the optimal strategies that promote health equity.

The lack of advance planning in a public health emergency can lead to wasted resources and inadvertent loss of lives. This study is aimed at forecasting the needs for healthcare resources following the expansion of the coronavirus disease 2019 (COVID-19) outbreak in the Republic of Kazakhstan, focusing on hospital beds, equipment, and the professional workforce in light of the developing epidemiological situation and the data on resources currently available. We constructed a forecast model of the epidemiological scenario via the classic susceptible-exposed-infected-removed (SEIR) approach. The World Health Organization's COVID-19 Essential Supplies Forecasting Tool was used to evaluate the healthcare resources needed for the next 12 weeks. Over the forecast period, there will be 104 713.7 hospital admissions due to severe disease and 34 904.5 hospital admissions due to critical disease. This will require 47 247.7 beds for severe disease and 1929.9 beds for critical disease at the peak of the COVID-19 outbreak. There will also be high needs for all categories of healthcare workers and for both diagnostic and treatment equipment. Thus, Republic of Kazakhstan faces the need for a rapid increase in available healthcare resources and/or for finding ways to redistribute resources effectively. Republic of Kazakhstan will be able to reduce the rates of infections and deaths among its population by developing and following a consistent strategy targeting COVID-19 in a number of inter-related directions.

Semenova Y, et al. J Korean Med Sci. 2020 Jun;35(24):e227. https://doi.org/10.3346/jkms.2020.35.e227

A systematic review and narrative synthesis of publications was undertaken to analyze the role of component-resolved diagnosis technology in identifying polysensitization for the provision of allergen-specific immunotherapy to patients with seasonal allergic rhinitis. A search of publications was carried out in electronic databases in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search helped to identify 568 publications, 12 of which were included in this review. Overall, 3302 patients were enrolled. The major finding was that component-resolved diagnostics change the choice of relevant allergens for allergen-specific immunotherapy in at least 50% of cases. Sensitization to allergen components differs with age, type of disease, and overall disease duration. Patients who had both bronchial asthma and allergic rhinitis were sensitized to a larger number of allergens than patients who had bronchial asthma alone.

Diabetes mellitus (DM) is associated with higher risk of developing infectious disease and COVID-19 is not the exception. There is a need to generate more data on clinical characteristics and risks of COVID19 patients presenting with DM. In this retrospective study we aimed to report on demographic features, clinical data, and outcomes of COVID-19 patients with DM in comparison with age- and sex-matched patients without DM. This was a retrospective study that relied on the nationwide data on all COVID-19 patients who were diagnosed from 14 March to 18 April, 2020. Overall, there were 31 cases with DM for which we randomly matched 4 patients without DM by age and sex. COVID-19 patients with associated DM had less beneficial outcomes and more severe disease course both at hospital admission and final diagnosis, as compared with the age and sex-matched non-DM patients. Diabetics were more predisposed to impaired breathing (29.0 % versus 4.9 % in controls), nausea/vomiting (6.5 % versus 0 % in controls) and weakness/lethargy (45.2 % versus 26.0 % in controls). Finally, 48.4 % of diabetics showed the signs of pneumonia on CT scans versus 20.3 % of non-diabetics (p = 0.001), and 32.3 % of DM patients were admitted to intensive care units as compared with just 5.7 % of non-DM patients (p<0.001). There is a need to envisage early status monitoring and supportive care in this vulnerable category of patients to enable better prognosis.