scholarly journals High Hidden Burden of Diabetes Mellitus among Adults Aged 18 Years and Above in Urban Northwest Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Haileab Fekadu Wolde ◽  
Terefe Derso ◽  
Gashaw Andargie Biks ◽  
Mezgebu Yitayal ◽  
Tadesse Awoke Ayele ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Prevention And Control ◽  
Associated Factors ◽  
Northwest Ethiopia ◽  
Control Measures ◽  
Noncommunicable Disease ◽  
World Health ◽  
Community Based ◽  
Prevention And Control Measures ◽  
And Control

Background. Ethiopia is one of the sub-Saharan African countries with a rapidly increasing burden of diabetes mellitus (DM). There is limited updated information about the community-based burden of the disease and its associated factors in Ethiopia which is very crucial to plan effective prevention and control measures against the disease. This study is aimed at determining the burden of DM and its associated factors in urban northwest Ethiopia. Methods. A community-based cross-sectional study was conducted from April to May 2019 among residents aged ≥ 18 years in Gondar town and urban kebeles (lowest administrative units of the country) of Health and Demographic Surveillance System site (HDSS) in Dabat district. A multistage sampling technique was used to select 773 participants. World Health Organization (WHO) stepwise approach for noncommunicable disease surveillance was used to collect the data. Fasting blood glucose FBS ≥ 126   mg / dl was used to diagnose DM. Descriptive statistics were done to describe the variables of the study. Prevalence with its 95% confidence interval (CI) was estimated. Binary logistic regression model was fitted, variables with p value < 0.05 were considered to have a significant association with the outcome, and odds ratio (OR) was used to measure the strength of association. Result. Of the total participants, 6.34% (95% CI; 4.82, 8.29) were found to be diabetic. Of these, 40 (81.6%) were newly diagnosed. Besides, the prevalence of prediabetes was 9.31% (95% CI: 7.45, 11.58). Increased age ( AOR = 1.06 , 95% CI; 1.04, 1.09) and eating vegetables one to three days per week (AOR =0.29, 95% CI; 0.13, 0.65) were significantly associated with diabetes. Conclusion. The overall prevalence of DM is a bit higher than the national estimate, while the proportion of undiagnosed DM which can easily progress to disabling and life-threatening complications was alarmingly high. Age and frequency of eating vegetables per week were associated with diabetes. In light of this finding, future prevention and control measures against the diseases should consider the identified factors. There should also be improved access to screening services.

scholarly journals Repercussions of the COVID-19 Health Crisis In the Peruvian Informal Sector

2021 ◽  
pp. 1-9
Author(s):  
Vilma Andia-Choquepuma ◽  
Daniza Juana Leon-Escobedo ◽  
Himer Avila-George ◽  
orge Sánchez-Garcés ◽  
Ruth Elizabeth Villafuerte-Alcántara ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Preventive Measures ◽  
Control Measures ◽  
World Health ◽  
Health Crisis ◽  
Entry Points ◽  
The World ◽  
Prevention And Control Measures ◽  
Health Organization ◽  
And Control

After the World Health Organization declared the outbreak of Coronavirus (COVID-19) a pandemic, the Peruvian government took preventive measures to counteract the spread of the virus by issuing Supreme Decree No. 008-2020-SA. This decree contains prevention and control measures aimed at ports, airports, land entry points, educational centers, transportation and workplaces.

scholarly journals Improving COVID-19 response: redirecting risk communication efforts towards equity issues

2021 ◽  
Vol 3 (5) ◽  
pp. 3-8
Author(s):  
Yisel Hernández Barrios ◽  
Luis Fonte Galindo ◽  
María del Carmen Zabala Argüelles ◽  
Dennis Pérez Chacón
Keyword(s):  
Health Problem ◽  
Social Communication ◽  
Prevention And Control ◽  
Control Measures ◽  
World Health ◽  
Equity Issues ◽  
The World ◽  
Prevention And Control Measures ◽  
Health Organization ◽  
And Control

Coronavirus disease 2019 (COVID-19) is, to date, the health problem with the highest impact in the 21st century. The World Health Organization has recommended several prevention and control measures to deal with this pandemic. In this context, social communication plays a key role. In this article we argue that the potential of communication efforts to close the gaps in the COVID-19 response worldwide won´t be fully accomplished until they do address equity-related issues.

scholarly journals Prediction of Different Interventions on the Burden of Drug-resistant Tuberculosis in China: a Dynamic Modeling Study

2021 ◽  
Author(s):  
Ao Xu ◽  
Ze-xuan Wen ◽  
Yue Wang ◽  
Wei-bing Wang
Keyword(s):  
Prevention And Control ◽  
Control Measures ◽  
World Health ◽  
Infectious Period ◽  
Predictive Analysis ◽  
Progression Rate ◽  
Drug Resistant ◽  
Cure Rate ◽  
Prevention And Control Measures ◽  
And Control

Abstract Background. Tuberculosis (TB) is one of the top ten causes of death worldwide. The World Health Organization adopted the “End TB Strategy”, whose goal is to end the global TB epidemic by 2035. However, achieving this goal will be difficult using current prevention and control measures.Methods. A Susceptible-Exposed-Infectious-Recovered (SEIR) model that distinguishes drug-sensitive (DS) and drug-resistant (DR) TB in the entire Chinese population was established. Goodness-of-fit tests and sensitivity analyses were used to assess model performance. Predictive analysis was performed to assess the effect of different prevention and control strategies on DR-TB and achieving the goal of the End TB Strategy: 90% fewer cases of DR-TB by 2035.Results. We used parameter fitting to determine the basic reproduction number of the model as R0 =0.6993. Chi-square test results indicated good model fits for the reported incidences of DS-TB (χ2=0.144, P=1.000) and DR-TB (χ2=0.076, P=1.000). The predictive analysis led to four major projections for the number of cases by 2035. First, if the transmission rate of DR-TB patients reaches 0 during the infectious period, there will be 208,754 fewer cases (failure to achieve to goal). Second, if the progression rate of latently infected people reaches 10%, there will be 255,075 fewer cases (92.2% lower than in 2015). Third, if the overall treatment and cure rate of patients with DS-TB improves to 100%, there will be 150,482 fewer cases (failure to achieve the goal). Fourth, if the cure rate of DR-TB increases to 40%, there will be 253,198 fewer cases (91.5% lower than in 2015).Conclusions. We assessed several prevention and control measures for DR-TB. Interventions that target acquired DR and improvement of the cure rate of DS-TB have limited efficacy. However, interventions that target primary DR-TB, such as reducing the probability of transmission and the rate of disease progression in patients with DR-TB, have better efficacy. Improving treatment compliance and the cure rate of patients with DR-TB can also contribute to attaining the goal of the End TB Strategy.

scholarly journals What matters: non-pharmaceutical interventions for COVID-19 in Europe

2022 ◽  
Vol 11 (1) ◽  
Author(s):  
Yan Liu ◽  
Qiuyan Yu ◽  
Haoyu Wen ◽  
Fang Shi ◽  
Fang Wang ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Large Scale ◽  
Great Influence ◽  
Control Measures ◽  
European Countries ◽  
World Health ◽  
Current Status ◽  
Key Factors ◽  
Prevention And Control Measures ◽  
And Control

Abstract Objectives The purpose of this study is to describe the situation of COVID-19 in European countries and to identify important factors related to prevention and control. Methods We obtained data from World Health Statistics 2020 and the Institute for Health Metrics and Evaluation (IHME). We calculated the Rt values of 51 countries in Europe under different prevention and control measures. We used lasso regression to screen factors associated with morbidity and mortality. For the selected variables, we used quantile regression to analyse the relevant influencing factors in countries with different levels of morbidity or mortality. Results The government has a great influence on the change in Rt value through prevention and control measures. The most important factors for personal and group prevention and control are the mobility index, testing, the closure of educational facilities, restrictions on large-scale gatherings, and commercial restrictions. The number of ICU beds and doctors in medical resources are also key factors. Basic sanitation facilities, such as the proportion of safe drinking water, also have an impact on the COVID-19 epidemic. Conclusions We described the current status of COVID-19 in European countries. Our findings demonstrated key factors in individual and group prevention measures.

scholarly journals What Matters among Non-pharmaceutical Interventions on COVID-19 in Europe?

2021 ◽  
Author(s):  
Chuanhua Yu ◽  
Yan Liu ◽  
Qiuyan Yu ◽  
Haoyu Wen ◽  
Fang Shi ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Large Scale ◽  
Great Influence ◽  
Control Measures ◽  
European Countries ◽  
World Health ◽  
Current Status ◽  
Key Factors ◽  
Prevention And Control Measures ◽  
And Control

Abstract Objectives The purpose of this study is to describe the situation of the COVID-19 in European countries and identify important factors related to prevention and control. Methods We obtained data from World Health Statistics 2020 and the Institute for Health Metrics and Evaluation (IHME). We caculated the Rt values of 51countries in Europe under different prevention and control measures. We used lasso regression to screen factors associated with morbidity and mortality. For variables selected, we used quantile regression to analyze the relevant influencing factors in countries with different levels of morbidity or mortality. Results The government has a great influence on the change of Rt value through prevention and control measures. The most important factor for personal and group prevention and control is the mobility index, testing, the closure of educational facilities, restrictions on large-scale gatherings, and commercial restrictions. The number of ICU beds and doctors in medical resources are also key factors. Basic sanitation facilities, such as the proportion of safe drinking water, also have an impact on the COVID-19 epidemic. Conclusions This study describes the current status of COVID-19 in European countries. We found key factors in individual prevention and control measures and group prevention and control measures.

scholarly journals Malaria prevention practices and associated factors among households of Hawassa City Administration, Southern Ethiopia, 2020

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0250981
Author(s):  
Anteneh Fikrie ◽  
Mihiret Kayamo ◽  
Henok Bekele
Keyword(s):  
Prevention And Control ◽  
Associated Factors ◽  
Public Health Problem ◽  
Malaria Prevention ◽  
Control Measures ◽  
Southern Ethiopia ◽  
Major Public Health Problem ◽  
City Administration ◽  
Prevention And Control Measures ◽  
And Control

Background Despite it is easily preventable; malaria is still remains to be a major public health problem in globally as well as in Ethiopia. The disease can be easily prevented through individual and societal combined efforts by keeping the environment safe, effective utilization of long lasting Insecticide Nets and early treatment. However, the factors for poor knowledge and practices of malaria prevention is not well studied in Ethiopia; particularly, in the study area. Hence, this study aimed to provide concrete evidence towards malaria prevention practices and associated factors among Households of Hawassa City Administration, Southern Ethiopia, 2020. Method A community-based cross-sectional study was conducted among a randomly selected 598 households at Hawassa City Administration from April 1–15, 2020. Multistage sampling technique was employed to recruit the study households. Data were collected by trained data collectors through a face-to-face interview with pretested structured questionnaire, which was adapted from previous peer reviewed articles. Then the data were checked for the completeness and consistencies, then, coded and entered into Epi data 3.1 and it was exported to SPSS IBM version 23 for analysis. Descriptive mean with standard deviation was used to summarize the continuous variables. Bivariable and multivariable logistic regression model was used to assess factors affecting prevention and control of Malaria. Finally, adjusted odds ratio together with 95% CI and p-value <0.05 was used to declare the statistical significances. Results The overall 317 (54.3%) of households practiced good measure of malaria prevention and control measures. Urban residence [AOR = 1.95 (95%CI: 1.17–3.24)], Secondary school completed [AOR = 5.02(95%CI 2.24–12.03)], Tertiary school completed [AOR = 7.27(95%CI: 2.84–18.55)], Positive Attitude [AOR = 8.20(95%CI: 5.31–12.68)] and Good knowledge about malaria [AOR = 2.81(95%CI: 1.78–4.44)] were significantly associated with malaria prevention practices. Conclusions Nearly half of the households were still practiced poor measure of malaria prevention and control measures. Hence, health officials and stake holders need attention by providing continuous health education and follow up to control malaria.

scholarly journals Beware of asymptomatic transmission: Study on 2019-nCoV prevention and control measures based on extended SEIR model

2020 ◽  
Author(s):  
Peng Shao ◽  
Yingji Shan
Keyword(s):  
Prevention And Control ◽  
Early Stage ◽  
Control Measures ◽  
World Health ◽  
Epidemic Spread ◽  
Prevention And Control Measures ◽  
Health Organization ◽  
Almost All ◽  
And Control ◽  
The Impact

SummaryBackgroundThe 2019 new coronavirus, “2019-nCoV”, was discovered from Wuhan Viral Pneumonia cases in December 2019, and was named by the World Health Organization on January 12, 2020. In the early stage, people knows little about the 2019-nCoV virus was not clear, and the spread period was encountering China’s annual spring migration, which made the epidemic spread rapidly from Wuhan to almost all provinces in China.MethodsThis study builds a SEIRD model that considers the movement of people across regions, revealing the effects of three measures on controlling the spread of the epidemic.Based on MATLAB R2017a, computational experiments were performed to simulate the epidemic prevention and control measures.FindingsThe research results show that current prevention and control measures in China are very necessary. This study further validates the concerns of international and domestic experts regarding asymptomatic transmission (E-status).InterpretationThe results of this study are applicable to explore the impact of the implementation of relevant measures on the prevention and control of epidemic spread, and to identify key individuals that may exist during the spread of the epidemic.

Epidemiology 1: Basic Concepts

2010 ◽  
pp. 33-43
Author(s):  
Cindy Kermott
Keyword(s):  
Prevention And Control ◽  
Associated Factors ◽  
Case Definition ◽  
Control Measures ◽  
Physician Practices ◽  
Managed Care Programs ◽  
Causative Relationship ◽  
Basic Concepts ◽  
Prevention And Control Measures ◽  
And Control

Descriptive and analytic methods are used in epidemiologic investigations. Statistical tools are used to describe data, evaluate hypotheses, and apply causal theory. Epidemiologic research can be used to determine whether a causative relationship exists between a disease and its associated factors. Epidemiologic data can be collected by government agencies, hospitals, medical insurance carriers, third-party payers, physician practices, and managed care programs. Each data collection system has potential weaknesses such as introduced errors, incomplete records, limited access, and nonrepresentative populations. Registries are detailed listings of all occurrences of a disease or condition within a defined region. An outbreak investigation begins by establishing the existence of an outbreak. After the case definition is established, factors such as person, time, and place are used to develop causal hypotheses. The hypotheses are tested to evaluate credibility, and reconsideration or refinement of the hypotheses may be necessary. Control measures may be taken before the outbreak source or route of spread is ascertained. Prevention and control measures must be communicated.

scholarly journals Forecasting and Analysis of Time Variation of Parameters of COVID-19 Infection in China Using An Improved SEIR Model

2020 ◽  
Author(s):  
Guoping Zhang ◽  
Huaji Pang ◽  
Yifei Xue ◽  
Yu Zhou ◽  
Ruliang Wang
Keyword(s):  
Prevention And Control ◽  
Control Measures ◽  
World Health ◽  
Model Parameters ◽  
Cure Rate ◽  
Seir Model ◽  
The World ◽  
The Government ◽  
Prevention And Control Measures ◽  
And Control

Abstract Background: Due to the emergency pandemic threat, the COVID-19 has attracted widespread attention around the world. Common symptoms of infection were fever, cough, and myalgia fatigue. On January 31, 2020, the World Health Organization (WHO) declares this outbreak a Public Health Emergency of International Concern (PHEIC).Methods: In order to study the spread of the novel coronavirus pneumonia, this paper proposed an improved SEIR model to simulate the spread of the virus, which includes the effect factor of government intervention. The model parameters are determined based on the daily reported statistical data (up to February 8) of confirmed, suspected, cured, and death. According to utilize the spread rate, the probability of infection of the suspected, the probability of the suspected becoming a confirmed one, the cure rate, the mortality rate, and the quarantine ratio, we performed simulations and parameter calibrations at three region levels, i.e., China, Hubei and non-Hubei respectively. In addition, considering that the government initiated effective prevention and control measures after the outbreak, this paper dynamically estimates all the parameters of the proposed model.Results: The simulation reveals that the parameters of non-Hubei region are not significantly different from Hubei’s. Hubei Province has a high transmission rate, low cure rate, high probability of infection, low effective quarantine rate. since January 31, with the continuous strengthening of epidemic prevention and control measures, all parameters of the model have changed significantly. The parameters of Hubei and non-Hubei regions have the same trend. The trend of all parameters is now moving in a direction that is conducive to reducing the number of confirmed, suspected and fatal cases.Conclusions: The number of infections of the virus initially showed a rapid increase in the trend, and the number of infectious case showed a clear downward shape. With the government to take a variety of prevention and control measures and the efforts of the general medical staff, the number of infection curve on February 22 appeared in the top of the arc pattern, indicating that the inflection point began to appear, but the decline in the number of infections slowly.

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