scholarly journals Covid-19 Fatality Rate in Third World Countries: A Review of Environmental Challenges and Impacts on Public Health and Human Security

2021 ◽  
Vol 9 (1) ◽  
pp. 39-44
Author(s):  
Chukwuemeka E. Etodike ◽  
◽  
Elsie C. Ekeghalu ◽  
Kelechi Johnmary Ani ◽  
Emmanuel Mutambara
Keyword(s):  
Public Health ◽  
Case Fatality Rate ◽  
Third World ◽  
Case Fatality ◽  
Personal Hygiene ◽  
Fatality Rate ◽  
Environmental Challenges ◽  
The Third ◽  
The Third World ◽  
Sanitary Conditions

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.

Subway-Related Trauma: An Urban Public Health Issue with a High Case-Fatality Rate

2018 ◽  
Vol 55 (2) ◽  
pp. 165-171.e1 ◽  
Author(s):  
Simon G. Rodier ◽  
Charles J. DiMaggio ◽  
Stephen Wall ◽  
Vasiliy Sim ◽  
Spiros G. Frangos ◽  
...  
Keyword(s):  
Public Health ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Health Issue ◽  
Public Health Issue ◽  
Fatality Rate ◽  
High Case Fatality Rate

HEALTH OR HOSPITALS? APPROACHES TO THE PROVISION OF PUBLIC HEALTH FACI LITIES IN THE THIRD WORLD. HALF-DAY MEETING.

1987 ◽  
Vol 82 (5) ◽  
pp. 1037-1039
Author(s):  
N GODFREY ◽  
A COTTON ◽  
R FRANCEYS ◽  
J PICKFORD ◽  
J SIMM ◽  
...  
Keyword(s):  
Public Health ◽  
Third World ◽  
The Third ◽  
The Third World

scholarly journals Omicron Impact in India: An Early Analysis of the Ongoing COVID-19 Third Wave

2022 ◽  
Author(s):  
Rajesh Ranjan
Keyword(s):  
Rapid Growth ◽  
Case Fatality Rate ◽  
Reproduction Number ◽  
Case Fatality ◽  
Sir Model ◽  
Third Wave ◽  
Fatality Rate ◽  
Sequencing Data ◽  
The Third ◽  
Second Wave

India is currently experiencing the third wave of COVID-19, which began on around 28 Dec. 2021. Although genome sequencing data of a sufficiently large sample is not yet available, the rapid growth in the daily number of cases, comparable to South Africa, United Kingdom, suggests that the current wave is primarily driven by the Omicron variant. The logarithmic regression suggests the growth rate of the infections during the early days in this wave is nearly four times than that in the second wave. Another notable difference in this wave is the relatively concurrent arrival of outbreaks in all the states; the effective reproduction number (Rt) although has significant variations among them. The test positivity rate (TPR) also displays a rapid growth in the last 10 days in several states. Preliminary estimates with the SIR model suggest that the peak to occur in late January 2022 with peak caseload exceeding that in the second wave. Although the Omicron trends in several countries suggest a decline in case fatality rate and hospitalizations compared to Delta, a sudden surge in active caseload can temporarily choke the already stressed healthcare India is currently experiencing the third wave of COVID-19, which began on around 28 Dec. 2021. Although genome sequencing data of a sufficiently large sample is not yet available, the rapid growth in the daily number of cases, comparable to South Africa, United Kingdom, suggests that the current wave is primarily driven by the Omicron variant. The logarithmic regression suggests the growth rate of the infections during the early days in this wave is nearly four times than that in the second wave. Another notable difference in this wave is the relatively concurrent arrival of outbreaks in all the states; the effective reproduction number (Rt) although has significant variations among them. The test positivity rate (TPR) also displays a rapid growth in the last 10 days in several states. Preliminary estimates with the SIR model suggest that the peak to occur in late January 2022 with peak caseload exceeding that in the second wave. Although the Omicron trends in several countries suggest a decline in case fatality rate and hospitalizations compared to Delta, a sudden surge in active caseload can temporarily choke the already stressed healthcare infrastructure. Therefore, it is advisable to strictly adhere to COVID-19 appropriate behavior for the next few weeks to mitigate an explosion in the number of infections.

scholarly journals COVID-19, Australia: Epidemiology Report 15: Reporting week to 2359 AEST 10 May 2020

2020 ◽  
Vol 44 ◽  
Author(s):  
Keyword(s):  
Public Health ◽  
Low Income ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
International Travel ◽  
Low Income Countries ◽  
Fatality Rate ◽  
Public Health Action ◽  
The Past ◽  
Global Rate

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.

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
Keyword(s):  
Public Health ◽  
Recovery Rate ◽  
Case Fatality Rate ◽  
Preventive Measures ◽  
Case Fatality ◽  
Himalayan Region ◽  
Fatality Rate ◽  
Public Health Threat ◽  
One Year ◽  
Authentic Data

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.

scholarly journals Economic development and road traffic injuries and fatalities in Thailand: an application of spatial panel data analysis, 2012–2016

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Rapeepong Suphanchaimat ◽  
Vorasith Sornsrivichai ◽  
Supon Limwattananon ◽  
Panithee Thammawijaya
Keyword(s):  
Public Health ◽  
Case Fatality Rate ◽  
Negative Binomial ◽  
Road Traffic ◽  
Statistical Significance ◽  
Case Fatality ◽  
Gdp Per Capita ◽  
Fatality Rate ◽  
Incidence Proportion ◽  
Per Capita

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.

scholarly journals A broken bone no longer a burden to carry: a destination in sight

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Saabea Owusu Konadu ◽  
Dominic Konadu-Yeboah ◽  
Gilda Opoku ◽  
Obed Nyarko Ofori
Keyword(s):  
Cause Of Death ◽  
Case Fatality Rate ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Case Fatality ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
The Third

Worldwide the third leading cause of death among persons under 40 years is attributed to trauma(1). In Ghana road traffic accidents have a case fatality rate of about 17%(3). Over the years with interventions and policies by AO Alliance the burden and morbidity following trauma especially road traffic accidents have reduced; with a destination in sight where a broken bone is no longer a burden to carry.

scholarly journals Excess Mortality from COVID-19: Lessons Learned from the Italian Experience

2020 ◽  
Author(s):  
Paolo Pasquariello ◽  
Saverio Stranges
Keyword(s):  
Public Health ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Lessons Learned ◽  
Fatality Rate ◽  
Lombardy Region ◽  
Italian Experience ◽  
Health Authorities ◽  
Public Health Authorities

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.

scholarly journals Novel Uses of Three-Parameter Logistic Models and First-Derivative Models for the Coronavirus Disease (COVID-19) Epidemic in the United States, in Three Distinct Scenarios

2020 ◽  
Author(s):  
Bishoy T. Samuel
Keyword(s):  
Logistic Model ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Logistic Models ◽  
The United States ◽  
Fatality Rate ◽  
First Derivative ◽  
The Third ◽  
Variable Versus ◽  
Growth Deceleration

Abstract Background:Forecasting the current coronavirus disease (COVID-19) epidemic in the United States necessitates novel mathematical models for accurate predictions. This paper examines novel uses of three-parameter logistic models and first-derivative models through three distinct scenarios that have not been examined in the literature as of July 14, 2020.Methods:Using publicly available data, statistical software was used to conduct a non-linear least-squares estimate to generate a three-parameter logistic model, with a subsequently generated first-derivative model. In the first scenario a logistic model was used to examine the natural log of COVID-19 cases as the dependent variable (versus day number), on July 11 and May 1. Independent t-test analyses were used to test comparative coefficient differences across models. In the second scenario, a first-derivative model was derived from a base three-parameter logistic model for April 27, examining time to peak mortality and decrease in case fatality rate. In the third scenario, a first-derivative model of mortality through July 11 as the dependent variable, versus confirmed cases, was generated to look at case fatality rate relative to increasing cases.Results:All models generated were statistically significant with R2 > 99%. The logistic models in the first scenario best predicted time to growth deceleration in the natural log of cases in the U.S. (slowing of exponential growth), estimated at March 11, 2020. For the May 1 data, independent t-test analyses of comparative coefficients across models were useful to track improvements from implemented public health measures. The first-derivative model in the second scenario on April 27, when the epidemic was more controlled, showed peak mortality around April 12-13, with a case fatality rate of < 1,000 deaths and trending down. The first-derivative model in the third scenario estimated a near-zero case fatality rate to occur at 4 million confirmed cases. It has not been affected by fluctuations in mortality from June 29 through July 11.Conclusion:Three-parameter logistic models and first-derivative models have utility in predicting time to growth deceleration, and case fatality rates relative to cases. They can objectively assess improvements of implemented epidemiologic measures and have applicable public health safety implications.

scholarly journals Global Pandemic Trends of COVID-19 in 2020

2021 ◽  
Author(s):  
Hai-Zhen Chen ◽  
Bo Cai ◽  
Jian-Guo Chen
Keyword(s):  
Public Health ◽  
United States ◽  
Mortality Rate ◽  
Incidence Rate ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
The United States ◽  
Cumulative Number ◽  
Fatality Rate ◽  
The World

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.

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