COVID-19 (NOVEL CORONA VIRUS-2019)- TRENDS OF CORONA PANDEMIC OVER A PERIOD OF ONE YEAR IN HIMALAYAN REGION IN INDIA.

2021 ◽  
pp. 12-14
Author(s):  
Kamlesh Sharma ◽  
Ram Lal Sharma

COVID-19 is a emerging disease and is of public health importance.This study was done to analyse the trends of corona pandemic over a period of one year in Himalayan region in India. Data regarding state statistics from January 2020 to January 2021,was gathered from various sources. Since objective and authentic data was released by different agencies daily and reported to WHO, so the state prole of new cases, cumulative cases, recoveries, cumulative deaths, samples tested, positive samples was taken based on availability of information from National Health Mission site, other state websites and news papers and analysed for various parameters. The current study conducted in Himachal Pradesh showed Case fatality rate as 1.7%, recovery rate 99% and positivity rate 6.1% with Shimla having highest CFR 2.5%. Population wise most affected district was Lahul & Spiti with affected population 4.0%.It may be considered as a severe public health threat of this decade. COVID-19 trends, pattern and its analysis will be very important for control and preventive measures.

Author(s):  
Abdulla Salem Bin Ghouth ◽  
Ali Ahmed Al-Waleedi ◽  
Marhami Fahriani ◽  
Firzan Nainu ◽  
Harapan Harapan

Abstract Objectives: To determine the case-fatality rate (CFR) of coronavirus disease 2019 (COVID-19) and its associated determinants in order to understand the true magnitude of the problem during ongoing conflict in Yemen. Methods: The CFR among confirmed COVID-19 cases in Yemen was calculated. The data was retrieved from national COVID-19 surveillance between April 10, when the first COVID-19 case reported, and May 31, 2020. Results: A total of 419 confirmed COVID-19 cases were reported. There were 14.1% and 5.7% of cases who required intensive care and mechanical ventilators, respectively. Out of total cases, 95 deaths were reported, giving CFR of 22.6% which is much higher compared to other countries. CFR was significantly higher among elderly compared to young adults and varied between governorates. Mortality was associated with preexisting hypertension (OR: 2.30; 95%CI: 1.58, 3.54) and diabetes (OR: 1.68; 95%CI: 1.08, 2.61). Conclusions: Elderly and those with comorbidities, in particular hypertension and diabetes, have higher risk for poor outcomes and therefore should receive more attention in the clinical setting. Preventive measures should also be prioritized to protect those groups in order to reduce the severe cases and deaths-associated COVID-19 in armed-conflict.


Author(s):  
Chukwuemeka E. Etodike ◽  
◽  
Elsie C. Ekeghalu ◽  
Kelechi Johnmary Ani ◽  
Emmanuel Mutambara

The novel coronavirus is far from being over; with the case-fatality rate (CFR) hitting more than 16,500 globally as of July, there is a worry that despite the fact that the global CFR curve is showing signs of flattening, the environmental peculiarities of the third world countries may be abetting global efforts towards containing the virus. Therefore, this review x-rayed these peculiarities in the light of their current concern in public health as per their contribution to the persistent surge in CFR in most developing nations. Given that the virus is transmitted via droplets, the review focused on how the state of public and environmental challenges such as air as well as water pollution and personal hygiene could be abetting the surge in coronavirus infections and morbidity. The review revealed, among other things, that challenges associated with poor sanitary conditions, lack of potable water, unventilated environments, air pollution, and poor inter-personal hygiene are devastating challenges in the fight against the pandemic. The implication is that since these conditions are systematic in nature, it may take more than average effort and public sacrifice to checkmate the case-fatality rate of the virus in the third world. Therefore, call for studies is necessary to establish empiricism for CFR patterns and ratio across areas in deplorable environmental and sanitary conditions.


2018 ◽  
Vol 55 (2) ◽  
pp. 165-171.e1 ◽  
Author(s):  
Simon G. Rodier ◽  
Charles J. DiMaggio ◽  
Stephen Wall ◽  
Vasiliy Sim ◽  
Spiros G. Frangos ◽  
...  

PEDIATRICS ◽  
1950 ◽  
Vol 5 (5) ◽  
pp. 840-852
Author(s):  
JEROME L. KOHN ◽  
ALFRED E. FISCHER ◽  
HERBERT H. MARKS

Analysis of data on patients with pertussis during 1942-1946 obtained by means of a questionnaire from communicable disease hospitals and from health officers in a number of cities in the United States and Canada showed these results: Case fatality rates of patients admitted to hospitals for treatment have declined substantially in the period under review. This decline is general, both among infants under one year of age and among older children. In 1946, the case fatality rate of the infants hospitalized for the disease was 5.0% in those cities for which data for at least four years were available. This may be compared with the rate of 7.8% in 1942 and 11.1% in 1943. At ages one year and over, the rate was only 1.3% in 1946, as compared with 1.7% in 1942 and 3.7% in 1943. The rates in the hospitals with larger experiences were generally more favorable than in hospitals with smaller experiences. Despite the incomplete reporting of pertussis, which results in exaggerating the case fatality rate for the general population, the level of these rates in the community as a whole was lower than for hospitalized cases. This reflects the higher proportion of the severer cases in the hospitalized group. Indications are that in many places hospitalization is limited more and more to severe cases. Progress in the management of pertussis, especially of the severer cases admitted to hospitals, is believed to be the chief factor in the decline in case fatality of pertussis. A request contained in the questionnaire for an opinion on the severity of pertussis during the period studied elicited few replies, and these replies showed a division of opinion on the matter. It appears unlikely that there has been much of any change in the severity of the disease.


2020 ◽  
Vol 44 ◽  
Author(s):  

Confirmed cases in Australia notified up to 10 May 2020: notifications = 6,971; deaths = 98. The incidence of new cases of COVID-19 has reduced dramatically since a peak in mid-march. The reduction in international travel, social distancing measures and public health action have likely been effective in slowing the spread of the disease, in the Australian community. Cases of COVID-19 continue to be notified by jurisdictions, albeit at a slowed rate. Testing rates over the past week have increased markedly, with a very low proportion of people testing positive. These low rates of detection are indicative of low levels of COVID-19 transmission. It is important that testing rates and community adherence to public health measures remain high to support the continued suppression of the virus, particularly in vulnerable high-risk groups and settings. In the past reporting week new cases in Australia are mostly considered to be locally acquired, consistent with the drop in international travel. Most locally-acquired cases can be linked back to a known case or cluster. Although the proportion of locally-acquired cases has increased, the overall rate of cases, regardless of place of acquisition, continues to decrease. The crude case fatality rate in Australia remains low (1.4%), compared with the WHO reported global rate (6.9%). The low case fatality rate is likely reflective of high case detection and high quality of health care services in Australia. Deaths from COVID-19 in Australia have occurred predominantly among the elderly and those with comorbidities, with no deaths occurring in those under 40 years. The highest rate of COVID-19 continues to be among people aged 60-79 years, with a third of these cases associated with several outbreaks linked to cruise ships. The lowest rate of disease is in young children, a pattern reflected in international reports. Internationally, cases continue to increase, with some areas such as Brazil and India showing a dramatic rise in reported cases. Although some low-income countries have currently reported few cases, it is possible that this is due to limited diagnostic and public health capacity, and may not be reflective of disease occurrence.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Rapeepong Suphanchaimat ◽  
Vorasith Sornsrivichai ◽  
Supon Limwattananon ◽  
Panithee Thammawijaya

Abstract Background Road traffic injuries (RTIs) have been one of the most critical public health problems in Thailand for decades. The objective of this study was to examine to what extent provincial economy was associated with RTIs, road traffic deaths and case fatality rate in Thailand. Methods A secondary data analysis on time-series data was applied. The unit of analysis was a panel of 77 provinces during 2012–2016. Data were obtained from relevant public authorities, including the Ministry of Public Health. Descriptive statistics and econometric models, using negative binomial (NB) regression, negative binomial regression with random-effects (RE) model, and spatial Durbin model (SDM) were employed. The main predictor variable was gross domestic product (GDP) per capita and the outcome variables were incidence proportion of RTIs, traffic deaths and case fatality rate. The analysis was adjusted for key covariates. Results The incidence proportion of RTIs rose from 449.0 to 524.9 cases per 100,000 population from 2012 till 2016, whereas the incidence of traffic fatalities fluctuated between 29.7 and 33.2 deaths per 100,000 population. Case fatality rate steadily stood at 0.06–0.07 deaths per victim. RTIs and traffic deaths appeared to be positively correlated with provincial economy in the NB regression and the RE model. In the SDM, a log-Baht increase in GDP per capita (equivalent to a growth of GDP per capita by about 2.7 times) enlarged the incidence proportion of injuries and deaths by about a quarter (23.8–30.7%) with statistical significance. No statistical significance was found in case fatality rate by the SDM. The SDM also presented the best model fitness relative to other models. Conclusion The incidence proportion of traffic injuries and deaths appeared to rise alongside provincial prosperity. This means that RTIs-preventive measures should be more intensified in economically well-off areas. Furthermore, entrepreneurs and business sectors that gain economic benefit in a particular province should share responsibility in RTIs prevention in the area where their businesses are running. Further studies that explore others determinants of road safety, such as patterns of vehicles used, attitudes and knowledge of motorists, investment in safety measures, and compliance with traffic laws, are recommended.


Author(s):  
Paolo Pasquariello ◽  
Saverio Stranges

There is much discussion among clinicians, epidemiologists, and public health experts about why case fatality rate from COVID-19 in Italy (at 13.3% as of April 20, 2020, versus a global case fatality rate of 6.9%) is considerably higher than estimates from other countries (especially China, South Korea, and Germany). In this article, we propose several potential explanations for these differences. We suggest that Italy’s overall and relative case fatality rate, as reported by public health authorities, is likely to be inflated by such factors as heterogeneous reporting of coronavirus-related fatalities across countries and the iceberg effect of under-testing, yielding a distorted view of the global severity of the COVID-19 pandemic. We also acknowledge that deaths from COVID-19 in Italy are still likely to be higher than in other equally affected nations due to its unique demographic and socio-economic profile. Lastly, we discuss the important role of the stress imparted by the epidemic on the Italian healthcare system, which weakened its capacity to adequately respond to the sudden influx of COVID-19 patients in the most affected areas of the country, especially in the Lombardy region.


2021 ◽  
Author(s):  
Hai-Zhen Chen ◽  
Bo Cai ◽  
Jian-Guo Chen

Abstract Background: The novel coronavirus pneumonia (COVID-19) has been global threaten to public health. This paper provides perspective to the decision-making for public health control of the pandemic or the spread of epidemic.Methods: According to the WHO global reported database, we developed and used the number of cumulative cases, and the number of cumulative deaths to calculate and analyze rates of incidence, mortality, and fatality by country, with respect to the 30 highest outbreak (Top 30) countries.Results: As of December 31, 2020, of the global population of 7.585 billion, the cumulative number of reported cases was 81,475,053, and the cumulative number of deaths was 1,798,050. The incidence rate of COVID-19 was 1074.13 per 100,000 population, the mortality rate was 23.70 per 100,000, and the case fatality rate was 2.21%. Among the Top 30 countries, the five countries with the highest number of reported cumulative cases were, in rank, the United States (19,346,790 cases), India (10,266,674), Brazil (7,563,551), Russia (3,159,297) and France (2,556,708), and the five countries with the highest number of cumulative deaths were the United States (335,789 cases), Brazil (192,681), India (148,738), Mexico (123,845) and Italy (73,604). Globally, the countries with the highest incidence rate were, in rank, Andorra, Luxembourg, Montenegro, San Marino, and Czechia; the countries with the highest mortality rate were, in rank, San Marino, Belgium, Slovenia, Italy, and North Macedonia. The highest fatality rate was found in Yemen, Mexico, Montserrat, Isle of Man, and Ecuador, respectively. In China, 96,673 cases of COVID-19 and 4788 deaths were reported in 2020, ranking the 78th and the 43rd, respectively, in the world. The incidence rate and mortality rate were 6.90/105 and 0.34/105, respectively, ranking 207th and 188th in the world. The case fatality rate was 4.95%, ranking 11th in the world.Conclusions: The COVID-19 prevalence is still on the rise, and the turning points of incidence and mortality are not yet forecasted. Personal protection, anti-epidemic measures and efforts from public health personnel, medical professionals, biotechnology R&D personnel, effectiveness of the vaccination programs and the governments, are the important factors to determine the future prevalence of this coronavirus disease.


Author(s):  
Harihar Sahoo ◽  
Chaitali Mandal ◽  
Suyash Mishra ◽  
Snigdha Banerjee

AbstractThe coronavirus (COVID-19) is spreading rapidly across the country but India’s testing regime is far from the global standards. It is important to identify the states where testing needs expansion and the magnitudes of active COVID cases are higher focusing on current health infrastructure to meet the pandemic. The data on COVID-19 was extracted from the Application Programming Interface. Test positive rate, test per confirmed case, recovery rate, case fatality rate, and percent distribution of active cases were computed. Availability of hospitals, hospital beds, intensive care unit and ventilators per lakh population was also computed by public and private sector. The result revealed that, Maharashtra constitutes more than one-third positive cases in the country. More than a quarter of the active cases in India belonged to the Mumbai district of Maharashtra, followed by the Chennai district (9.4%) and Ahmedabad district (9.1%). Further, about 40 percent of the active cases in India belonged to the 11 districts of Maharashtra. The increased test positive rate in Maharashtra and Gujarat to almost double in last one month is a concern. In order to bring the states and the country in right track, the test positive rate need to be brought down to below 2 percent. The procurement of higher number of high throughput machine, the Cobas 6800 testing machine, is need of the hour. Only few states have adequate health infrastructure. The priority should be the laid on expansion of more laboratories and hospitals, storage of PPE kit, testing kit, and indigenously developed vaccines.HighlightsMaharashtra is having the highest number of positive cases followed by Gujarat and Tamil Nadu. Maharashtra constitutes more than one-third positive cases in the country, but the test per confirmed cases (8) is much lower than the other states.More than a quarter of the active cases in India belonged to the Mumbai district (26.1%) of Maharashtra, followed by the Chennai district (9.4%) and Ahmedabad district (9.1%). Further, about 40 percent of the active cases in India belonged to the 11 districts of Maharashtra.The test positive rate is higher in Maharashtra, Gujarat and Delhi is a concern.The recovery rate in India increased substantially by 26.5 percent point from 11.9 percent on April 14 to 38.4 percent on May 17, 2020.The case fatality rate of Covid-19 in India declined by 0.2 percent from 3.4 percent on April 14 to 3.2 percent on May 17 in India.The number of Dedicated Covid Hospitals is not sufficient in India.The available ventilators in the country will deficit in near future to cater to a growing number of active Covid-19 patients and the burden of other communicable and non-communicable diseases.India has only 569 testing laboratories (396 govt. and 173 private) against its 1.35 billion population. The procurement of higher number of high throughput machine, the Cobas 6800 testing machine, is need of the hour.


Author(s):  
Mohammad Mahmudul Hassan ◽  
Abul Kalam ◽  
Shahanaj Shano ◽  
Md. Raihan Khan Nayem ◽  
Md. Kaisar Rahman ◽  
...  

The COVID-19 outbreak has severely affected the social and economic conditions across this globe. Little is known about the relationship of COVID-19 with countries’ economic and socio-demographic status. Publicly available data on COVID-19 test rate, attack rate, case fatality rate, and recovery rate were analyzed in relation to country’s economic status, population density, median age, and urban population ratio. We also conducted multinomial logistic regression analysis to predict the influence of countries’ social and economic factors on COVID-19. The results revealed that the median age had significant positive correlation with attack rate (r=0.2389, p=0.003), case fatality rate (r=0.3207, p=0.000) and recovery rate (r=0.4847, p=0.000). The urbanization has positive significant correlation with recovery rate (r=0.1957, p= 0.016). The multinomial logistic regression analysis revealed low-income countries are less likely to have an increased recovery rate (p=0.000) and attack rate (p=0.016) compare to high-income countries. The lower-middle-income and upper-middle-income countries are less likely to have an increased recovery rate (p=0.000 and p=0.001, respectively) compared to high-income countries. Based on the result of this study, these economic and socio-demographic factors should consider in designing appropriate preventive measures as a next step. The low and lower-middle-income countries should invest more in health care services to lower the case fatality rate and increase test and recovery rates as part of pandemic preparation like COVID-19. As the number of COVID-19 attacks, death and recovery rates are constantly changing; however, the intensive study is required to obtain a clear picture.


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