Ageing and Health Status of Older People in Bangladesh
Md. Shohel Rana,
Najma Begum,
Shankar Barai,
Sabbir Hussain Shanta,
Md. Alauddin Rasel,
Salma Akter Tania,
Farhana Afsar
Issue:
Volume 5, Issue 2, June 2020
Pages:
39-46
Received:
9 March 2020
Accepted:
13 April 2020
Published:
4 June 2020
Abstract: Ageing is an ongoing physiological process. As mortality declining and improving public health interventions which result population ageing. The present study is an attempt to assess the health status of ageing people living in Bangladesh. We found most of the ageing people’s family expenditure are bear by their son which is 78.9%. We also found that 52.6% ageing people’s health are care by son which is maximum. Most of the older people’s (60.2%) treatment cost below 2000 taka. According to the study there is 33.3% of ageing people have the disease of diabetics, 20.5% have the problem of blood pressure and 19.9% have heart disease. We observe that 70.8% of ageing people monthly visit to doctor for treatment. However, the satisfaction level of treatment is positively correlated and significant with who bear the family expenditure. There is a weak positive relationship between the satisfaction level of treatment and who health care most but it was insignificant. We also found that there is a weak positive relationship between the satisfaction level of treatment and how frequently the ageing people visit to doctor for treatment and it was insignificant. Logistic result indicates that if we increase one unit of family expenditure bear (son), health care most (son) and visiting doctor (daily) then the satisfaction level (yes) will increase respectively 0.694, 0.018 and 0.116 unit.
Abstract: Ageing is an ongoing physiological process. As mortality declining and improving public health interventions which result population ageing. The present study is an attempt to assess the health status of ageing people living in Bangladesh. We found most of the ageing people’s family expenditure are bear by their son which is 78.9%. We also found th...
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Use of Databases Available on the Web to Describe COVID-19 Morbidity and Mortality Trends
Issue:
Volume 5, Issue 2, June 2020
Pages:
47-51
Received:
19 April 2020
Accepted:
23 June 2020
Published:
4 August 2020
Abstract: In December 2019, an infectious pandemic outbreak occurred in the city of Wuhan in the Province of Hubei, China. The pathogen was identified as a novel coronavirus - COVID-19. This virus belongs to a family of viruses that cause Severe Acute Respiratory Syndrome, known as SARS-COV. The disease is characterized by a high mortality rate among adults aged 60 years or above, particularly those with chronic comorbidities. Databases available on the web provide updated, real-time data on the incidence and mortality rates ascribed to the COVID-19 pandemic in various countries. However, to draw accurate epidemiologic conclusions, demographic data (population density, age distribution, and urbanization level), as well as clinical data (number of screening tests and number of days since the first detected disease case in the country) must be taken into consideration. Informed use of these data affords reliable epidemiologic analysis. For example, a comparison of COVID-19 case fatality rates between Germany and Iran – two countries similar in population size and urbanization level – reveals that the mortality rate in Iran is significantly higher than that of Germany, while the active morbidity burden is much higher in Germany. This may seem surprising, given that Germany’s population is considerably older than that of Iran and four times as dense. It may be surmised that the quality and availability of health services in Germany are superior to those in Iran, offering a higher number of screening tests and more effective clinical treatment. Another important factor affecting morbidity spread is the timing of a lockdown policy implementation. For example, a comparison between China and the USA – two countries with similar land area and median age – reveals that in spite of the fact that in China population density is about 4.25 times higher than in the USA, morbidity rate is considerably lower than in the USA. Two factors can be considered responsible for this lower rate: lower urbanization and an earlier lockdown policy compared with the USA.
Abstract: In December 2019, an infectious pandemic outbreak occurred in the city of Wuhan in the Province of Hubei, China. The pathogen was identified as a novel coronavirus - COVID-19. This virus belongs to a family of viruses that cause Severe Acute Respiratory Syndrome, known as SARS-COV. The disease is characterized by a high mortality rate among adults ...
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A Retrospective Malaria Surveillance Data Analysis (2013-2017), Benishangul Gumuz Region, 2018
Tadesse Yalew Assefa,
Eyoel Berhan,
Zewdu Assefa,
Habtamu Tilahun
Issue:
Volume 5, Issue 2, June 2020
Pages:
52-59
Received:
27 May 2020
Accepted:
10 June 2020
Published:
4 August 2020
Abstract: Routine Malaria surveillance data is useful for assessing incidence and trends over time and in stratification for targeting of malaria. The reporting completeness and potential bias of such data needs assessment. Approximately 52 million people (68%) live in malaria risk areas in Ethiopia, primarily at altitudes below 2,000 meters. Objective: The general objective of this analysis was to assess the trend and magnitude of Malaria surveillance data by time, place and laboratory result for the last five years in Benishangul Gumuz Region. Descriptive cross-sectional study was used to analyze Malaria surveillance data in terms of time, place and laboratory result. Data cleaning and analysis was made by using excel 2013 software. A total of 96757 expected health facilities were in the region from 2013-2017. A total of 86266 health facilities were reported in the last five years with an average completeness of 89.2%. In the last five years (2013-2017) total of 1186514 clinically and confirmed malaria cases were reported regionally with 2290606 total malaria suspected fever examined with ninety inpatient deaths. Among the total clinically and confirmed cases, 1172244 (98.8%) were outpatients, 14248 (1.2%) were inpatients and 1013046 (85.0%) cases were confirmed by laboratory. Out of the total confirmed malaria cases 811984 (80.2%) cases were due to P.falciparum malaria and 201030 (19.8%) cases were due to P.vivax malaria. There were no other species of malaria reported other than these two species. From the total expected health facilities; a total of 86266 health facilities were reported in the last five years with an average completeness of 89.2% which is above the WHO minimum requirement (80.0%). The malaria reports shows that significant improvement in cases of data quality and management from year to year and currently all zones, Woredas and health facilities including private and NGO facilities are included and reported weekly the malaria surveillance from the data report identified in this study. The average five year regional incidence of confirmed malaria (P. Falciparum and P. Vivax) was less than half the incidence of the clinical and confirmed malaria cases.
Abstract: Routine Malaria surveillance data is useful for assessing incidence and trends over time and in stratification for targeting of malaria. The reporting completeness and potential bias of such data needs assessment. Approximately 52 million people (68%) live in malaria risk areas in Ethiopia, primarily at altitudes below 2,000 meters. Objective: The ...
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