Community-based public health interventions in North Korea: one non-governmental organization's experience with tuberculosis and hepatitis B

Public Health ◽  
2005 ◽  
Vol 119 (5) ◽  
pp. 347-352 ◽  
Author(s):  
L.C. Goe ◽  
J.A. Linton
Keyword(s):  
Public Health ◽  
Hepatitis B ◽  
North Korea ◽  
Health Interventions ◽  
Public Health Interventions ◽  
Community Based

scholarly journals An Inconsistent Canadian Provincial and Territorial Response During the Early COVID-19 Pandemic

2021 ◽  
Vol 9 ◽  
Author(s):  
Amelie Cyr ◽  
Prosanta Mondal ◽  
Gregory Hansen
Keyword(s):  
Public Health ◽  
Early Response ◽  
Health Interventions ◽  
World Health ◽  
Public Health Interventions ◽  
Community Based ◽  
Governmental Agencies ◽  
Health Organization ◽  
Time Of Intervention ◽  
National Approach

Objectives: According to the World Health Organization (WHO), an early and consistent international and national response is needed to control a pandemic's spread. In this analysis, we evaluate the coordination of Canada's early response to the coronavirus (COVID-19) pandemic in terms of public health interventions and policies implemented in each province and territory.Methods: Retrospective data was obtained from publicly accessible websites maintained by federal, provincial and territorial governmental agencies. Consistent with WHO's spreading of the disease pandemic action, individual and community-based public health interventions and policies were the focus. Time of intervention or policy, and COVID-19 cases per million at time of intervention was recorded for each province and territory.Results: Most public health interventions and policies demonstrated wide time ranges of implementation across individual provinces and territories. At time of implementation, there were also wide variations in the number of positive COVID-19 cases in these jurisdictions. Cases per million per implemented day were also not similar across interventions or policy, suggesting that other factors may have been preferentially considered.Conclusions: Whether an earlier and more structured national approach would have lessened the pandemic's burden is uncertain, calls for greater federal coordination and leadership should to examined.

Immunization

2010 ◽  
pp. 93-109
Author(s):  
Claudia L. Swanton ◽  
Barbara J. Timm ◽  
Heidi K. Roeber Rice
Keyword(s):  
Public Health ◽  
Hepatitis B ◽  
Health Interventions ◽  
Childhood Vaccination ◽  
Public Health Interventions ◽  
Vaccine Preventable Diseases ◽  
The Public ◽  
Awareness Campaigns ◽  
China And India ◽  
Effective Public Health

The use of vaccines can be traced back to China and India before 200 BC. Vaccination, now considered one of the most effective public health interventions, became common practice in the 1940s with the introduction of vaccines for diphtheria and tetanus. Since that time, many infectious diseases have been well controlled through vaccination. This chapter focuses on live and attenuated bacterial and viral vaccines and those that are composed of toxoids. Hepatitis B, pneumococcal disease, and influenza are the most common vaccine-preventable diseases in adults. Rates of childhood vaccination remain suboptimal. Ideally, vaccination begins before infants are dismissed home after birth. Targeted awareness campaigns can be used to educate providers and the public about the importance of immunization.

scholarly journals An analysis of COVID-19 clusters in India

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pooja Sengupta ◽  
Bhaswati Ganguli ◽  
Sugata SenRoy ◽  
Aditya Chatterjee
Keyword(s):  
Public Health ◽  
Cluster Analysis ◽  
Population Density ◽  
Case Studies ◽  
Compartment Model ◽  
Health Interventions ◽  
Disease Spread ◽  
Second Phase ◽  
Public Health Interventions ◽  
Homogeneous Groups

Abstract Background In this study we cluster the districts of India in terms of the spread of COVID-19 and related variables such as population density and the number of specialty hospitals. Simulation using a compartment model is used to provide insight into differences in response to public health interventions. Two case studies of interest from Nizamuddin and Dharavi provide contrasting pictures of the success in curbing spread. Methods A cluster analysis of the worst affected districts in India provides insight about the similarities between them. The effects of public health interventions in flattening the curve in their respective states is studied using the individual contact SEIQHRF model, a stochastic individual compartment model which simulates disease prevalence in the susceptible, infected, recovered and fatal compartments. Results The clustering of hotspot districts provide homogeneous groups that can be discriminated in terms of number of cases and related covariates. The cluster analysis reveal that the distribution of number of COVID-19 hospitals in the districts does not correlate with the distribution of confirmed COVID-19 cases. From the SEIQHRF model for Nizamuddin we observe in the second phase the number of infected individuals had seen a multitudinous increase in the states where Nizamuddin attendees returned, increasing the risk of the disease spread. However, the simulations reveal that implementing administrative interventions, flatten the curve. In Dharavi, through tracing, tracking, testing and treating, massive breakout of COVID-19 was brought under control. Conclusions The cluster analysis performed on the districts reveal homogeneous groups of districts that can be ranked based on the burden placed on the healthcare system in terms of number of confirmed cases, population density and number of hospitals dedicated to COVID-19 treatment. The study rounds up with two important case studies on Nizamuddin basti and Dharavi to illustrate the growth curve of COVID-19 in two very densely populated regions in India. In the case of Nizamuddin, the study showed that there was a manifold increase in the risk of infection. In contrast it is seen that there was a rapid decline in the number of cases in Dharavi within a span of about one month.

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