scholarly journals Changing epidemiology of dengue hemorrhagic fever in Thailand

1999 ◽  
Vol 122 (1) ◽  
pp. 161-166 ◽  
Author(s):  
O. CHAREONSOOK ◽  
H. M. FOY ◽  
A. TEERARATKUL ◽  
N. SILARUG
Keyword(s):  
Urban Areas ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Dengue Shock Syndrome ◽  
Hemorrhagic Fever ◽  
Age Group ◽  
Fatality Rate ◽  
Large Cities ◽  
The Third ◽  
Common Causes

Dengue haemorrhagic fever (DHF) and dengue shock syndrome (DSS) are reportable diseases, the third most common causes for hospitalization of children in Thailand. Data collected from the Ministry of Public Health were analysed for trends. Rates of DHF increased in Thailand until 1987 when the largest epidemic ever, 325/100000 population, was recorded. Whereas the disease used to be confined to large cities, the rate is now higher in rural (102·2 per 100000) than urban areas (95·4 per 100000 in 1997). The age of highest incidence has increased, and the age group most severely affected is now those 5–9 years old (679/100000 in 1997). The case fatality rate has decreased with improved treatment and is now only 0·28%.

scholarly journals Repeated Leftover Serosurvey of SARS-CoV-2 IgG Antibodies in Greece, May to August 2020

Vaccines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 504
Author(s):  
Zacharoula Bogogiannidou ◽  
Matthaios Speletas ◽  
Alexandros Vontas ◽  
Dimitrios J. Nikoulis ◽  
Katerina Dadouli ◽  
...  
Keyword(s):  
Urban Areas ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Cumulative Effect ◽  
Age Group ◽  
Fatality Rate ◽  
Igg Antibodies ◽  
Serum Samples ◽  
Cross Sectional Survey ◽  
Cross Sectional

A serosurvey of IgG antibodies against SARS-CoV-2 was conducted in Greece between May and August 2020. It was designed as a cross-sectional survey and was repeated at monthly intervals. The leftover sampling methodology was used and a geographically stratified sampling plan was applied. Of 20,110 serum samples collected, 89 (0.44%) were found to be positive for anti-SARS-CoV-2 antibodies, with higher seroprevalence (0.35%) observed in May 2020. The highest seroprevalence was primarily observed in the “30–49” year age group. Females presented higher seroprevalence compared to males in May 2020 (females: 0.58% VS males: 0.10%). This difference reversed during the study period and males presented a higher proportion in August 2020 (females: 0.12% VS males: 0.58%). Differences in the rate of seropositivity between urban areas and the rest of the country were also observed during the study period. The four-month infection fatality rate (IFR) was estimated to be 0.47%, while the respective case fatality rate (CFR) was at 1.89%. Our findings confirm low seroprevalence of COVID-19 in Greece during the study period. The young adults are presented as the most affected age group. The loss of the cumulative effect of seropositivity in a proportion of previous SARS-CoV-2 infections was indicated.

scholarly journals Crimean-Congo hemorrhagic fever-induced liver injury: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Sawai Singh Rathore ◽  
Ade Harrison Manju ◽  
Qingqing Wen ◽  
Manush Sondhi ◽  
Reshma Pydi ◽  
...  
Keyword(s):  
Liver Injury ◽  
Case Fatality Rate ◽  
Meta Analysis ◽  
Case Series ◽  
Case Fatality ◽  
Hemorrhagic Fever ◽  
Fatality Rate ◽  
High Case Fatality Rate ◽  
Crimean Congo Hemorrhagic Fever ◽  
Pooled Prevalence

Background: Crimean-Congo hemorrhagic fever (CCHF) is a fatal acute tick-borne viral infection and a substantial emerging global public health threat. This illness has a high case fatality rate of up to 40%. The liver is one of the important target organs of the CCHF virus. Objective: The aim of this meta-analysis to evaluate the correlation between CCHF  and liver injury and draw more generalized inferences about the abnormal serum markers of liver injury such as alanine aminotransferase (ALT), aspartate aminotransferase (AST) in CCHF patients. Methods: A literature search was accomplished for published eligible articles with MEDLINE/PubMed and Embase databases. All eligible observational studies and case series were included from around the world. The inclusion criteria were articles describing liver injury biomarkers AST and ALT amongst patients diagnosed with CCHF. Results: Data from 18 studies, consisting of 1238 patients with CCHF  were included in this meta-analysis. The overall pooled prevalence of at least one raised liver injury biomarker was 77.95% (95% CI, I2 = 88.50%, p < 0.0001). Similarly, pooled prevalence of elevated AST and ALT was 85.92% (95% CI, I2 = 85.27%,  p < 0.0001) and 64.30% (95% CI, I2 = 88.32%,  p < 0.0001) respectively.  Both Egger and Begg-Mazumdar’s tests detected no apparent publication bias in all three meta-analyses(p > 0.05).  Conclusion: These elevated liver injury biomarkers have been identified as significant prognostic factors. Hence, Physicians must recognize and continuously monitor these biomarkers, since these aid early stratification of prognosis and the prevention of severe outcomes in infection with such a high case fatality rate.

scholarly journals KEPADATAN NYAMUK DEWASA Aedes Sp DI KELURAHAN MALALAYANG I KECAMATAN MALALAYANG MANADO PERIODE JANUARI – PEBRUARI 2010

2013 ◽  
Vol 3 (3) ◽  
Author(s):  
Janno B. B. Bernadus ◽  
Victor D. Pijoh ◽  
Venny Kareth
Keyword(s):  
Aedes Aegypti ◽  
Aedes Albopictus ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Public Health Problem ◽  
Hemorrhagic Fever ◽  
Adult Mosquito ◽  
Fatality Rate ◽  
North Sulawesi ◽  
Culex Sp

Abstract: Dengue Hemorrhagic Fever (DHF) has become a public health problem in Indonesia because of its high prevalence and ability to spread more widely. In North Sulawesi itself Case Fatality Rate of carrying dengue is increasing from year to year. The local village Malalayang has a high potential for spreading this disease. The result of an  entomology survey on adult mosquitos showed that Aedes sp was found in 40 houses of 80 house samples. From these 40 houses we got 71 mosquito samples. From these 71 samples tested and identified, we found three species: Aedes aegypti (30 samples, 42.25%), Aedes albopictus (22 samples, 30.99%), and Culex sp (19 samples, 26.76%). Mosquito density can be seen from the indices of the resting rates, which were 0.375 for Aedes aegypti, 0.275 for Aedes albopictus, and 0.65 for Aedes sp. Key words: density, adult mosquito, Aedes sp., resting rate.   Abstrak: Demam Berdarah Dengue (DBD) merupakan penyakit yang menjadi masalah kesehatan masyarakat di Indonesia karena prevalensinya yang tinggi dan penyebarannya semakin luas. Di Sulawesi Utara, Case Fatality Rate penyakit DBD tercatat terus meningkat dari tahun ke tahun. Kelurahan Malalayang I merupakan daerah yang potensial sebagai daerah penyebaran DBD. Survei entomologi terhadap nyamuk dewasa Aedes sp pada 80 rumah  memperlihatkan bahwa 40 diantaranya terdapat 71 sampel nyamuk. Setelah diperiksa dan diidentifikasi ternyata ditemukan tiga spesies yaitu Aedes aegypti 30 sampel (42,25%), Aedes albopictus 22 sampel (30,99%) dan Culex sp 19 (26,76%). Kepadatan nyamuk  dapat dilihat  dari angka indeks  pada resting rate yaitu Aedes aegypti = 0,375 , Aedes albopictus = 0,275 dan  Aedes sp.= 0,65. Kata kunci:  kepadatan, nyamuk dewasa, Aedes sp., resting rate.

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.

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.

Mortality of tetanus at the Lagos University Teaching Hospital, Nigeria

2005 ◽  
Vol 35 (3) ◽  
pp. 178-181 ◽  
Author(s):  
F I Ojini ◽  
M A Danesi
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Teaching Hospital ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Developed Countries ◽  
University Teaching ◽  
Age Group ◽  
Fatality Rate ◽  
Medical Wards

Records of 349 tetanus patients, aged 10 years and above, admitted to the Lagos University Teaching Hospital, Nigeria, between 1990 and 1999 were reviewed. The male:female ratio was 1.98:1, and the ages were between 10 and 88 years, with a mean age of 29.8 years. The overall case fatality rate (CFR) of tetanus was 36.96% (33.19% for men and 44.44% for women). The CFR is similar to that previously reported in the hospital, but higher than that reported from Europe and North America. The lowest CFR was in the 10-19-year age group, and there was a trend towards increasing CFR with increasing age. Tetanus patients in the intensive care unit (ICU) had a significantly higher CFR than those in the medical wards. Unlike in developed countries, where management of tetanus in ICU has resulted in a decrease in CFR, the CFR of tetanus at the Lagos University Teaching Hospital has not significantly reduced over the years.

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 THE OVERVIEW OF DENGUE HEMORRHAGIC FEVER IN EAST JAVA DURING 2015-2017

2020 ◽  
Vol 8 (1) ◽  
pp. 35
Author(s):  
Dewi Putri Dayani
Keyword(s):  
Incidence Rate ◽  
Dengue Hemorrhagic Fever ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Hemorrhagic Fever ◽  
Morbidity Rate ◽  
Fatality Rate ◽  
Health Profile ◽  
Population Mobility ◽  
Residential Areas

Background: Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus which spreads more widely and the morbidity rate increases every year in East Java Province. DHF transmitting vector is widespread in residential areas and in public places, population density, population mobility, increasing urbanization. Purpose: This study aims to describe the number of cases, Incidence Rate (IR), Case Fatality Rate (CFR), and the peak incidence of Dengue Hemorrhagic Fever in East Java Province in 2015-2017. Method: This study is a descriptive approach study with a population that is all East Java residents who are at risk of suffering from dengue. This study uses a total population technique that involves all DHF cases recorded in the East Java Provincial Health Profile for 2015-2017. The data used are secondary data obtained from the Health Profile of East Java Province in 2015-2017, namely the number of DHF cases, gender, morbidity and mortality rates due to DHF. Data were analyzed using the Incidence Rate (IR) and Case Fatality Rate (CFR) formulas. Results: The number of dengue cases in East Java in 2015 to 2017 fluctuated. DHF morbidity rates have increased in 2016 while 2017 has decreased. The mortality rate in East Java in 2015-2017 has decreased. DHF events often occur in male sex. Conclusion: Dengue Hemorrhagic Fever is a vector-borne disease with rapid spread. The occurrence of dengue hemorrhagic fever every year there is an increase in cases and deaths of almost all regencies / cities in East Java.

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.

Sign in / Sign up

Export Citation Format

Share Document