scholarly journals Gender-Age Distribution of Patients with COVID-19 at Different Stages of Epidemic in Moscow

Author(s):  
V. G. Akimkin ◽  
S. N. Kuzin ◽  
T. A. Semenenko ◽  
A. A. Ploskireva ◽  
D. V. Dubodelov ◽  
...  

The ongoing COVID-19 pandemic around the world and in Russia remains a major event of 2020. All over the world, research is being conducted to comprehensively study the patterns and manifestations of the epidemic  process. The main quantitative characteristics of SARS-CoV-2 transmission dynamics among the population, based on the data of official monitoring over the current situation, play an important role in the development of  the epidemiological surveillance system.The aim of this study is to explore the peculiarities of age-gender distribution of COVID-19 patients in Moscow.Material and methods. The data related to the epidemiological characteristics of age-gender structure of COVID-19 patients in Moscow between March 19, 2020 and April 15, 2020, at different stages of the  epidemic were retrospectively analyzed.Results and discussion. The mean age of COVID-19 patients in Moscow was 46,41±20,58 years. The gender ratio (male/female) among the patients was 52.7/47.3 %, wherein the indicators varied depending upon the  age. Male/female ratio in the age group “under 39” stood at 53.7/46.3 %, and “over 40 years of age” – at  39.3/60.7 %. The predominant age range among male cases was 19 to 39 years old – 35.4 %, while among female patients – 40–59 years (36.5 %). The age distribution of patients in Moscow is indicative of the fact that COVID-19 is a disease that primarily affects older age groups. The age structure of all COVID-19 cases during the observation period is characterized by predominance of adult patients over 19 years of age – 92,7 % (92,6–92,8 %), the share of patients aged 40–59 years is 35,7% (35,5–35,9 %). The differences in the age distribution in males and females are as follows: in the male cohort, the age groups 19–39 years old and 40–59 years old prevail – 35.4 % (35.1–35.7 %) and 34.9 % (34.6–35.2 %), respectively. The age group 40–59 years old – 36.5 % (36.3–36.8%) dominates in the female cohort. 

2018 ◽  
Vol 16 (2) ◽  
pp. 14-16
Author(s):  
Kazal Kanti Barua ◽  
M Jalal Uddin ◽  
Sumon Mutsuddy ◽  
AYM Masud Reza Khan ◽  
Ashim Barua

Background: Suicide is a devastating problem. It is to some extent preventable if we are aware of its factors. These factors vary according to community, cast and creed. Many studies were conducted at many places of the world but there is none in Chittagong. To know the high risk factors of suicide in Chittagong we have conducted the study.Methods : It was a descriptive study. Secondary data were used. All suicidal reports of Chittagong mortuary in 2012 were studied. Collected data were managed manually. Results were contrasted with recent studies of home & abroad.Results: Total 165 reports were studied. Majority of the victims 128(78%) were of 15-45 years age group. Male female ratio was 49: 51. Married victims were 109(66%). Muslims 125(76%). Majority of the victims 104(63%) were poorly literate (<SSC). Commonest profession of the victims was ‘housewife’57(35%). Next professional group was lower subordinate staffs 49(30%). Commonest method of suicide was Hanging 83(50%). Family feud was the commonest cause of suicide and it was 72(44%).Conclusion: Commonest demographic factor of suicide in Chittagong is ‘Family Feud’ It is mostly manageable and thus we can prevent suicide occurrence significantly. So, everybody should come forward to remove causes of family feud and others for a noble humanitarian cause.Chatt Maa Shi Hosp Med Coll J; Vol.16 (2); July 2017; Page 14-13


Author(s):  
Yun Cai ◽  
Haojie Mao ◽  
King H. Yang

Distal radius and carpal fractures in children and adolescent account for approximately 25% of all pediatric fractures [1]. For the age distribution, 5 to 14 years olds group comprised largest proportion (26%) of all hand and forearm fractures than other age groups. Radius and/or ulna fractures took up the largest proportion of fractures (32.9%) in age group 5 to 14 years old. A population-based study revealed that the incidence rate of forearm fractures in boys and girls aged 5 to 14 years increased dramatically. In particular, the age group 10 to 14 has the highest increase in the period from 1997 to 2009 [1].


1970 ◽  
Vol 5 (2) ◽  
pp. 38-40
Author(s):  
SA Fattah ◽  
SK Sarker ◽  
MY Ali ◽  
MT Alam ◽  
SY Ali

Encephalitis is a relatively common clinical diagnosis of admitted patients in Faridpur Medical College Hospital. This is significant because there was an outbreak of Nipah Virus (Ni-V) encephalitis in Faridpur district in 2004 with 34 cases including 26 deaths. Recent death of an intern doctor of FMCH from Ni-V encephalitis further emphasizes the gravity of situation. In this study a total number of 100 cases of clinically suspected encephalitis patients were studied for different clinical parameters. This is a retrospective study using data from hospital records. Majority of patients presented with neurological features (85%), 6% with pulmonary, 7% with combined neurological and pulmonary, and 2% with other features. 5-18 years age group comprises the highest number 44%, followed by >18 years age group 34%. Male-female ratio was 33:17. July to November was the period of maximum number of admission, the highest being in August. Patient from all upazillas of Faridpur were admitted, the highest being from Sadar Upazilla. 48% of the patients recovered, 19% expired and 7% were referred. In this context, further prospective study is urgently required to find out the epidemiological characteristics of Nipah virus encephalitis in Faridpur region. DOI: 10.3329/fmcj.v5i2.6818Faridpur Med. Coll. J. 2010;5(2):38-40


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 156.1-156
Author(s):  
E. Yen ◽  
D. Singh ◽  
M. Wu ◽  
R. Singh

Background:Premature mortality is an important way to quantify disease burden. Patients with systemic sclerosis (SSc) can die prematurely of disease, however, the premature mortality burden of SSc is unknown. The years of potential life lost (YPLL), in addition to age-standardized mortality rate (ASMR) in younger ages, can be used as measures of premature death.Objectives:To evaluate the premature mortality burden of SSc by calculating: 1) the proportions of SSc deaths as compared to deaths from all other causes (non-SSc) by age groups over time, 2) ASMR for SSc relative to non-SSc-ASMR by age groups over time, and 3) the YPLL for SSc relative to other autoimmune diseases.Methods:This is a population-based study using a national mortality database of all United States residents from 1968 through 2015, with SSc recorded as the underlying cause of death in 46,798 deaths. First, we calculated the proportions of deaths for SSc and non-SSc by age groups for each of 48 years and performed joinpoint regression trend analysis1to estimate annual percent change (APC) and average APC (AAPC) in the proportion of deaths by age. Second, we calculated ASMR for SSc and non-SSc causes and ratio of SSc-ASMR to non-SSc-ASMR by age groups for each of 48 years, and performed joinpoint analysis to estimate APC and AAPC for these measures (SSc-ASMR, non-SSc-ASMR, and SSc-ASMR/non-SSc-ASMR ratio) by age. Third, to calculate YPLL, each decedent’s age at death from a specific disease was subtracted from an arbitrary age limit of 75 years for years 2000 to 2015. The years of life lost were then added together to yield the total YPLL for each of 13 preselected autoimmune diseases.Results:23.4% of all SSc deaths as compared to 13.5% of non-SSc deaths occurred at <45 years age in 1968 (p<0.001, Chi-square test). In this age group, the proportion of annual deaths decreased more for SSc than for non-SSc causes: from 23.4% in 1968 to 5.7% in 2015 at an AAPC of -2.2% (95% CI, -2.4% to -2.0%) for SSc, and from 13.5% to 6.9% at an AAPC of -1.5% (95% CI, -1.9% to -1.1%) for non-SSc. Thus, in 2015, the proportion of SSc and non-SSc deaths at <45 year age was no longer significantly different. Consistently, SSc-ASMR decreased from 1.0 (95% CI, 0.8 to 1.2) in 1968 to 0.4 (95% CI, 0.3 to 0.5) per million persons in 2015, a cumulative decrease of 60% at an AAPC of -1.9% (95% CI, -2.5% to -1.2%) in <45 years old. The ratio of SSc-ASMR to non-SSc-ASMR also decreased in this age group (cumulative -20%, AAPC -0.3%). In <45 years old, the YPLL for SSc was 65.2 thousand years as compared to 43.2 thousand years for rheumatoid arthritis, 18.1 thousand years for dermatomyositis,146.8 thousand years for myocarditis, and 241 thousand years for type 1 diabetes.Conclusion:Mortality at younger ages (<45 years) has decreased at a higher pace for SSc than from all other causes in the United States over a 48-year period. However, SSc accounted for more years of potential life lost than rheumatoid arthritis and dermatomyositis combined. These data warrant further studies on SSc disease burden, which can be used to develop and prioritize public health programs, assess performance of changes in treatment, identify high-risk populations, and set research priorities and funding.References:[1]Yen EY….Singh RR. Ann Int Med 2017;167:777-785.Disclosure of Interests:None declared


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Christian Staerk ◽  
Tobias Wistuba ◽  
Andreas Mayr

Abstract Background The infection fatality rate (IFR) of the Coronavirus Disease 2019 (COVID-19) is one of the most discussed figures in the context of this pandemic. In contrast to the case fatality rate (CFR), the IFR depends on the total number of infected individuals – not just on the number of confirmed cases. In order to estimate the IFR, several seroprevalence studies have been or are currently conducted. Methods Using German COVID-19 surveillance data and age-group specific IFR estimates from multiple international studies, this work investigates time-dependent variations in effective IFR over the course of the pandemic. Three different methods for estimating (effective) IFRs are presented: (a) population-averaged IFRs based on the assumption that the infection risk is independent of age and time, (b) effective IFRs based on the assumption that the age distribution of confirmed cases approximately reflects the age distribution of infected individuals, and (c) effective IFRs accounting for age- and time-dependent dark figures of infections. Results Effective IFRs in Germany are estimated to vary over time, as the age distributions of confirmed cases and estimated infections are changing during the course of the pandemic. In particular during the first and second waves of infections in spring and autumn/winter 2020, there has been a pronounced shift in the age distribution of confirmed cases towards older age groups, resulting in larger effective IFR estimates. The temporary increase in effective IFR during the first wave is estimated to be smaller but still remains when adjusting for age- and time-dependent dark figures. A comparison of effective IFRs with observed CFRs indicates that a substantial fraction of the time-dependent variability in observed mortality can be explained by changes in the age distribution of infections. Furthermore, a vanishing gap between effective IFRs and observed CFRs is apparent after the first infection wave, while an increasing gap can be observed during the second wave. Conclusions The development of estimated effective IFR and observed CFR reflects the changing age distribution of infections over the course of the COVID-19 pandemic in Germany. Further research is warranted to obtain timely age-stratified IFR estimates, particularly in light of new variants of the virus.


Author(s):  
Ana Cristina Viana Campos ◽  
Efigênia Ferreira e Ferreira ◽  
Andréa Maria Duarte Vargas ◽  
Lúcia Hisako Takase Gonçalves

ABSTRACT Objective: to identify the healthy aging profile in octogenarians in Brazil. Method: this population-based epidemiological study was conducted using household interviews of 335 octogenarians in a Brazilian municipality. The decision-tree model was used to assess the healthy aging profile in relation to the socioeconomic characteristics evaluated at baseline. All of the tests used a p-value < 0.05. Results: the majority of the 335 participating older adults were women (62.1%), were aged between 80 and 84 years (50.4%), were widowed (53.4%), were illiterate (59.1%), had a monthly income of less than one minimum wage (59.1%), were retired (85.7%), lived with their spouse (63.8%), did not have a caregiver (60.3%), had two or more children (82.7%), and had two or more grandchildren (78.8%). The results indicate three age groups with a healthier aging profile: older adults aged 80 to 84 years (55.6%), older adults aged 85 years and older who are married (64.9%), and older adults aged 85 and older who do not have a partner or a caregiver (54.2%). Conclusion: the healthy aging profile of octogenarians can be explained by age group, marital status, and the presence of a caregiver.


2020 ◽  
Vol 8 (1) ◽  
pp. 93-99
Author(s):  
Balaji Varaprasad Mallula ◽  
Jithender Reddy Chintala ◽  
Srinadh Boppanna ◽  
S. Annapurna

Background: Stroke is the second single most common cause of death in the world causing approximately 6.7 million deaths each year. It has a greater disability impact on an individual than any other chronic disease. The aim of the study is to review the value of CTA in detection and evaluation of non-traumatic cervicocerebral vascular disease (stroke). Subjects & Methods: A prospective observational study conducted in the Department of Radiodiagnosis, Kamineni Hospitals, L.B. Nagar, Hyderabad over 60 patients during April 2016 to May 2017. Results: Out of 60 patients, 35(58.3%) patients had ischemic stroke, 25(41.6%) had hemorrhagic stroke. Overall stroke was seen mostly in the age group of 61-70 (28.3%) years, with a Male to female ratio of 3:2. Conclusion: Hypertension was the most common risk factor associated with this disease, followed by diabetes. CTA helps in accurate diagnosis, risk stratification and planning management protocols.


Author(s):  
CC Nwafor ◽  
K Obioha ◽  
TO Akhiwu

Ascites is a symptom that can originate due to diverse pathologies. A lot of investigations including ascitic fluid cytology (AFC) can be done on it to help determine its origin. The aim of this study, is to document the findings and highlight the importance of AFC in patient care in Uyo. All AFC reports and slides in the Department of Histopathology, University of Uyo were retrieved, reviewed and used for this study. The age ranged from 1.5 – 80 years with mean age, 41.79 (±17.23) years. About 71.8% of the ascitic fluid (AF) specimens were from patients between the 3rd and 6th decade. Females predominated in all age groups expect 10-19 year's group, with a male to female sex ratio of 1:2.4. Malignant cells were seen in 28.7% of all the samples, while 51.2% were negative for malignant cells. Malignant cells were seen in 4 (6.7%), 11 (18.3%) and 6 (10%) of the AFC performed due to various liver pathologies, ovarian malignancies and intra-abdominal malignancies respectively. Malignant cells were found more in females with a male to female ratio of 1: 3.6. Age group 40-49 years accounted for most of the malignant cases (26.6%). The pattern of AFC in Uyo is similar to the pattern in other parts of Nigeria


2021 ◽  
Author(s):  
Ayako Matsuda ◽  
Kei Asayama ◽  
Taku Obara ◽  
Naoto Yagi ◽  
Takayoshi Ohkubo

Abstract Background: Few reports have longitudinally investigated seasonal influenza epidemiological surveillance data of pediatric populations in the metropolitan areas of Japan. We aimed to provide descriptive characteristics of circulating influenza and to investigate the usefulness of setting thresholds for influenza in children (0–15 years old) in two satellite cities of a metropolitan area of Tokyo, Japan, for five consecutive seasons of the influenza epidemic.Methods: The survey was conducted annually during the influenza season, from 2014 to 2018 (ending March 2019), at preschools (kindergartens and nursery schools), elementary schools, and junior high schools located in Toda and Warabi cities, Saitama prefecture. We investigated the epidemiological characteristics and established thresholds using the World Health Organization method.Results: Of the 108,362 children (21,024 to 22,088 throughout five seasons) who received the questionnaire, 76,753 (70.8%; 14,652 to 15,808) responded. After exclusion of responses without basic information, 64,586 children were included in the analysis, of which 13,754 (21.3%) had tested positive for influenza. Influenza type A was generally dominant, whereas type B was responsible for a substantial share of all influenza cases (>40% in seasons 2015 and 2017, when type A circulated with low incidence). The weeks when the influenza epidemic peaked had no clear seasonal pattern among the surveyed years, i.e., the peaks appeared at week 51 (mid-December) or later, whereas the World Health Organization methods reported that the median period when a peak was observed was at 3 weeks (mid-January), regardless of school age group.Conclusions: The present information obtained from the epidemiological survey regarding seasonal influenza in children would be useful for general practitioners, health policymakers, and planners who establish prevention and control methods against influenza.


2015 ◽  
Vol 14 (1) ◽  
pp. 36-37
Author(s):  
Mozammel Hoq Sharife ◽  
M Jalal Uddin ◽  
Mostak Ahmed

Objective: The study was conducted to evaluate outcome of probing for congenital nasolacrimal duct obstruction. It was an interventional study at a tertiary level hospital of Chittagong. Methods: The study was conducted during April 2009 to March 2013 (04 years). Total 120 eyes of 102 children of 1-3 years age group were probed. Minimum follow up time was 01 year. Results: 110 eyes fully cured, 05 eyes needed re-probing, 03 eyes needed Dacrocystorhinostomy operation (DCR) and 02 cases were dropped out. Male female ratio was 72 (60%) and 48 (40%). Conclusion: Outcome of probing is better among 1-2 years age group than that of 2- 3 years age group. A discussion is made with updated literature review. DOI: http://dx.doi.org/10.3329/cmoshmcj.v14i1.22879 Chatt Maa Shi Hosp Med Coll J; Vol.14 (1); Jan 2015; Page 36-37


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