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PREVALENCE AND ASSOCIATED FACTORS OF POSTNATAL CARE UTILIZATION AMONG WOMEN ATTENDING IMMUNIZATION CLINIC IN HEALTH CENTERS IN HAWASSA CITY , SOUTHERN ETHIOPIA,. 2019
PREVALENCE AND ASSOCIATED FACTORS OF POSTNATAL CARE UTILIZATION AMONG WOMEN ATTENDING IMMUNIZATION CLINIC IN HEALTH CENTERS IN HAWASSA CITY , SOUTHERN ETHIOPIA,. 2019
Kaleab Tesfaye Tegegne, MEKIBIB KASSA TESSEMA, ELENI TESFAYE TEGEGNE
Introduction: Postnatal care is a care provided to women and their babies within 42 days after
delivery A large proportion of maternal and neonatal deaths occur during the first 48 hours after
delivery, and these first two days following delivery are critical for monitoring complications
arising from the delivery World Health Organization (WHO) recommends that after an
uncomplicated vaginal birth in a health facility, healthy mothers newborns should receive care in
the facility for at least 24 hours after birth. If birth is at home, the first postnatal contact should
be as early as possible within 24 hours of birth.
Objective: To assess prevalence and associated factors of postnatal care utilization among
women attending immunization clinics in health centers, Hawassa city, southern Ethiopia,. 2019
Methodology: Institution based cross sectional study design was done. Study was conducted in
all health centers . The total sample sizes were 306 women attending immunization clinic at
health centers A random sampling technique was employed to select the study subjects. Data
collection was conducted from study subjects using pretest questioners. The questioner was
developed in English. Ethical clearance was obtained from the research unit of Rift Valley
University. Data was entered and analyzed using SPSS version 20 for windows. Frequency
distribution table and statically graph were used to describe the variables of interest. The
associated factors of postnatal care utilization were identified using bivariate and multivariate
analysis.
Result multi parous women who had PNC experience were three times more likely to utilize
PNC service for the current delivery than those primi Para women[ AOR=2.8, 95% CI (1.36-
5.8)]. On the other hand, those multi parous women who hadn’t PNC experience were almost
50% less likely to utilize PNC for the current delivery than those primi Para women[AOR=0.43,
95% CI (0.20-0.92)]. Finally, those women who were discharged from the institution after
delivery at less than 6 hrs of stay were almost 80% less likely to utilize PNC than those women
who stayed more than 24hrs [AOR= 0.22, 95% CI (0.06-0.83)].
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Conclusion
The overall prevalence of PNC service utilization in this study was relatively good as compared
to the HSDP IV report for Hawassa city in the 2006 EFY. PNC counseling and provision of
appointment, counseling on danger sign, past experience of PNC utilization, and less than 6
hours stay at health institution before discharge were found to statistically significant for the
current PNC service Utilization,
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Biostatistical Analysis of the risks of spatial spread during the COVID-19 pandemic
Biostatistical Analysis of the risks of spatial spread during the COVID-19 pandemic
Bin Zhao, Xia Jiang, Jinming Cao
: With the spread of the new coronavirus around the world, governments of various countries have
begun to use the mathematical modeling method to construct some virus transmission models assessing the
risks of spatial spread of the new coronavirus COVID-19, while carrying out epidemic prevention work, and
then calculate the inflection point for better prevention and control of epidemic transmission. This work
analyzes the spread of the new coronavirus in China, Italy, Germany, Spain, and France, and explores the
quantitative relationship between the growth rate of the number of new coronavirus infections and time. Background: In December 2019 , the first Chinese patients with pneumonia of unknown cause
is China admitted to hospital in Wuhan, Hubei Jinyintan , since then, COVID-19 in the rapid expansion of
China Wuhan, Hubei, in a few months time, COVID-19 is Soon it spread to a total of 34 provincial-level
administrative regions in China and neighboring countries, and Hubei Province immediately became the
hardest hit by the new coronavirus. In an emergency situation, we strive to establish an accurate infectious
disease retardation growth model to predict the development and propagation of COVID-19, and on this basis, make some short-term effective predictions. The construction of this model has Relevant departments are
helpful for the prevention and monitoring of the new coronavirus, and also strive for more time for the clinical
trials of Chinese researchers and the research on vaccines against the virus to eliminate the new corona virus
as soon as possible. Methods: Collect and compare and integrate the spread of COVID-19 in China, Italy, France, Spain and
Germany, record the virus transmission trend among people in each country and the protest measures of
relevant government departments. According to the original data change law, Establish a Logistic growth
model. Findings: Based on the analysis results of the Logistic model model, the Logistic model has a good fitting
effect on the actual cumulative number of confirmed cases, which can bring a better effect to the prediction of
the epidemic situation and the prevention and control of the epidemic situation. Interpretation: In the early stage of the epidemic, due to inadequate anti-epidemic measures in various
countries, the epidemic situation in various countries spread rapidly. However, with the gradual
understanding of COVI D -19, the epidemic situation began to be gradually controlled, thereby retarding
growth.
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Obesity and Non-Communicable Diseases: Part I Cardiovascular Diseases, Respiratory Diseases, Depression, Liver Diseases
Obesity and Non-Communicable Diseases: Part I Cardiovascular Diseases, Respiratory Diseases, Depression, Liver Diseases
Shashi K. Agarwal
Obesity has become a pandemic. Obesity is associated with a wide array of physical and emotional health ailments. It is associated with a reduced quality of life. Comorbid disorders often result in premature mortality. Although BMI is the widely used standard for defining overweight and obesity, abdominal or visceral obesity has a more significant association with several noncommunicable diseases. Weight loss is beneficial in halting the deleterious effects of excess body weight. Part I of this manuscript, discusses the harmful effects of obesity on cardiovascular diseases, respiratory diseases, depression, and liver diseases.
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Obesity and Non-Communicable Diseases: Part II Cancer, Diabetes Mellitus, Kidney Diseases, Alzheimer’s Disease, Arthritis
Obesity and Non-Communicable Diseases: Part II Cancer, Diabetes Mellitus, Kidney Diseases, Alzheimer’s Disease, Arthritis
Shashi K. Agarwal
Obesity is increasing all over the world. An excess body weight, as recognized by a body mass index of more than 25, is associated with several chronic diseases, increased disability, and early mortality. Its main impact is on non-communicable diseases, such as cancer, diabetes mellitus, kidney diseases, Alzheimer’s disease, and arthritis. Successful weight loss strategies through healthy lifestyle behaviors and bariatric surgery have been associated with a decrease in morbidity, an improved quality of life, an increase in disease-free years, and improved longevity.
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