Injury Prevention and Control

Author(s):  
Kodjo M. Bossou ◽  
Philip T. Hagen

In its most basic definition, human injury is the result of a transfer of energy of sufficient magnitude to damage tissues of the human recipient. Adoption of the infectious disease model of an agent (energy), a carrier (living or inanimate; a vector), and the affected person (host) has proved helpful in analyzing the chain of causation that leads to injury. For the inclusion of important injuries, the definition of causation is often modified to include exposures that prevent needed energy from reaching a host-for example, a lack of thermal energy (heat) that results in frostbite. For persons younger than 45, injury is the most frequent cause of death. Years of potential life lost is an important measure of the cost and health burden of injuries on society. With systematic identification of the causal factors of injury and the events leading up to and following injury, a comprehensive intervention can be carried out to reduce the occurrence of injury in various settings.

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yue Yu ◽  
Yuxing Zhou ◽  
Xiangzhong Meng ◽  
Wenfei Li ◽  
Yang Xu ◽  
...  

Based on the SEIR model, which takes into account prevention and control measures, prevention and control awareness, and economic level and medical level indicators, this paper proposes an infectious disease model of “susceptible-exposed-infected-removed-asymptomatic-isolated” (short for SEIR-AQ) to assess and predict the development of the COVID-19 pandemic with different prevention and control strategies. The kinetic parameters of the SEIR-AQ model were obtained by fitting, and the parameters of the SEIR-AQ model were solved through the Euler method. Furthermore, the effects of different countries’ prevention and control strategies on the number of infections, the proportion of isolation, the number of deaths, and the number of recoveries were also simulated. The theoretical analysis showed that measures such as isolation for prevention and control and medical tracking isolation had a significant inhibitory effect on the development of the COVID-19 pandemic, among which stratified treatment and enhanced awareness played a key role in the rapid regression of the peak of COVID-19-infected patients. Conclusion of the Simulation. The SEIR-AQ model can be used to evaluate the development status of the COVID-19 epidemic and has some theoretical value for the prediction of COVID-19.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246207
Author(s):  
Lelisa Fekadu Assebe ◽  
Wondesen Nigatu Belete ◽  
Senait Alemayehu ◽  
Elias Asfaw ◽  
Kora Tushune Godana ◽  
...  

Background Ethiopia launched the Health Extension Program (HEP) in 2004, aimed at ensuring equitable community-level healthcare services through Health Extension Workers. Despite the program’s being a flagship initiative, there is limited evidence on whether investment in the program represents good value for money. This study assessed the cost and cost-effectiveness of HEP interventions to inform policy decisions for resource allocation and priority setting in Ethiopia. Methods Twenty-one health care interventions were selected under the hygiene and sanitation, family health services, and disease prevention and control sub-domains. The ingredient bottom-up and top-down costing method was employed. Cost and cost-effectiveness were assessed from the provider perspective. Health outcomes were measured using life years gained (LYG). Incremental cost per LYG in relation to the gross domestic product (GDP) per capita of Ethiopia (US$852.80) was used to ascertain the cost-effectiveness. All costs were collected in Ethiopian birr and converted to United States dollars (US$) using the average exchange rate for 2018 (US$1 = 27.67 birr). Both costs and health outcomes were discounted by 3%. Result The average unit cost of providing selected hygiene and sanitation, family health, and disease prevention and control services with the HEP was US$0.70, US$4.90, and US$7.40, respectively. The major cost driver was drugs and supplies, accounting for 53% and 68%, respectively, of the total cost. The average annual cost of delivering all the selected interventions was US$9,897. All interventions fall within 1 times GDP per capita per LYG, indicating that they are very cost-effective (ranges: US$22–$295 per LYG). Overall, the HEP is cost-effective by investing US$77.40 for every LYG. Conclusion The unit cost estimates of HEP interventions are crucial for priority-setting, resource mobilization, and program planning. This study found that the program is very cost-effective in delivering community health services.


2021 ◽  
Author(s):  
Eric Tchouaket ◽  
Stephanie Robins ◽  
Sandra Boivin ◽  
Drissa Sia ◽  
Kelley Kilpatrick ◽  
...  

Abstract Background Healthcare-associated infections (HCAIs) present a major public health problem that significantly affects patients, health care providers and the entire healthcare system. Infection prevention and control programs limit HCAIs and are an indispensable component of patient and healthcare worker safety. The clinical best practices (CBPs) of handwashing, screening, hygiene and sanitation of surfaces and equipment, and basic and additional precautions are keystones of infection prevention and control (IPC). Systematic reviews of IPC economic evaluations report the lack of rigorous empirical evidence demonstrating the cost-benefit of IPC program in general, and point to the lack of assessment of the value of investing in CBPs more specifically. Objective This study aims to assess overall costs associated with each of the four CBPs. Methods Across two Quebec hospitals, 48 healthcare workers were observed for two hours each shift, for two consecutive weeks. A modified time-driven activity-based costing framework method was used to capture all human resources (time) and materials required (e.g. masks, cloths, disinfectants) for each clinical best practice. Using a hospital perspective with a time horizon of one year, median costs per CBP per hour, as well as the cost per action, were calculated and reported in 2018 Canadian dollars. Sensitivity analyses were performed. Results A total of 1831 actions were recorded. The median cost of hand hygiene (N = 867) was 19.6 cents per action. For cleaning and disinfection of surfaces (N = 102), the cost was 21.4 cents per action, while cleaning of small equipment (N = 85) was 25.3 cents per action. Additional precautions median cost was $4.13 per action. The donning or removing or personal protective equipment (N = 720) cost was 75.9 cents per action. Finally, the total median costs for the five categories of clinical best practiced assessed were 27.2 cents per action. Conclusion The costs of clinical best practices were low, from 20 cents to $4.13 per action. This study provides evidence based arguments with which to support the allocation of resources to infection prevention and control practices that directly affect the safety of patients, healthcare workers and the public. Further research of costing clinical best care practices is warranted.


Author(s):  
Eric Tchouaket Nguemeleu ◽  
Stephanie Robins ◽  
Sandra Boivin ◽  
Drissa Sia ◽  
Kelley Kilpatrick ◽  
...  

Abstract Background Healthcare-associated infections (HCAIs) present a major public health problem that significantly affects patients, health care providers and the entire healthcare system. Infection prevention and control programs limit HCAIs and are an indispensable component of patient and healthcare worker safety. The clinical best practices (CBPs) of handwashing, screening, hygiene and sanitation of surfaces and equipment, and basic and additional precautions (e.g., isolation, and donning and removing personal protective equipment) are keystones of infection prevention and control (IPC). There is a lack of rigorous IPC economic evaluations demonstrating the cost–benefit of IPC programs in general, and a lack of assessment of the value of investing in CBPs more specifically. Objective This study aims to assess overall costs associated with each of the four CBPs. Methods Across two Quebec hospitals, 48 healthcare workers were observed for two hours each shift, for two consecutive weeks. A modified time-driven activity-based costing framework method was used to capture all human resources (time) and materials (e.g. masks, cloths, disinfectants) required for each clinical best practice. Using a hospital perspective with a time horizon of one year, median costs per CBP per hour, as well as the cost per action, were calculated and reported in 2018 Canadian dollars ($). Sensitivity analyses were performed. Results A total of 1831 actions were recorded. The median cost of hand hygiene (N = 867) was 20 cents per action. For cleaning and disinfection of surfaces (N = 102), the cost was 21 cents per action, while cleaning of small equipment (N = 85) was 25 cents per action. Additional precautions median cost was $4.1 per action. The donning or removing or personal protective equipment (N = 720) cost was 76 cents per action. Finally, the total median costs for the five categories of clinical best practiced assessed were 27 cents per action. Conclusions The costs of clinical best practices were low, from 20 cents to $4.1 per action. This study provides evidence based arguments with which to support the allocation of resources to infection prevention and control practices that directly affect the safety of patients, healthcare workers and the public. Further research of costing clinical best care practices is warranted.


2020 ◽  
Author(s):  
Zhijian Li ◽  
Yunling Zheng ◽  
Jack Xin ◽  
Guofa Zhou

The outbreaks of Coronavirus Disease 2019 (COVID-19) have impacted the world significantly. Modeling the trend of infection and real-time forecasting of cases can help decision making and control of the disease spread. However, data-driven methods such as recurrent neural networks (RNN) can perform poorly due to limited daily samples in time. In this work, we develop an integrated spatiotemporal model based on the epidemic differential equations (SIR) and RNN. The former after simplification and discretization is a compact model of temporal infection trend of a region while the latter models the effect of nearest neighboring regions. The latter captures latent spatial information. We trained and tested our model on COVID-19 data in Italy, and show that it out-performs existing temporal models (fully connected NN, SIR, ARIMA) in 1-day, 3-day, and 1-week ahead forecasting especially in the regime of limited training data.


2014 ◽  
Vol 989-994 ◽  
pp. 5435-5438
Author(s):  
Xue Yang ◽  
Ding Wang ◽  
Li Qin Zhang ◽  
Hui Ping Chang ◽  
Chun Lei Liu ◽  
...  

The prevention and control of pollution is an important technical link in haploid breeding of wheat. From the pollution types,causes and prevention methods in the process of wheat anther culture to analyze how to reduce pollution problems appeared in the tissue culture,so as to achieve the purpose of decreasing the cost of wheat breeding,and improving the efficiency of breeding purposes.


Author(s):  
M. O. Oladejo ◽  
I. J. Udoh ◽  
A. O. Abam

A terrorist group’s (TG) ability to withstand attacks and recovered from sudden high strength depreciation after a major counterterrorism operation, as well as the Security Agencies’ (SA) ability to execute successful credible counter-terrorism operation is a function of both their individual bureaucratic structures and the level of community’s supports each organization is able to optimize within the period of operation. To study the security implications of undermining a given community’s optimal supports, we present and analysed a two-person two-periods evolutionary game theoretic model for an interaction between the SA and the TG; each playing either the “Sticks” or the “Carrots” or mixed strategies to win the community’s optimal supports. In the symmetric game variant, the result of the analysis shows that if the operational cost drops by 80%, then the SA playing the “Stick” may enjoy 50:50 chance of winning the community’s optimal supports. But if the cost rises by at least 30%, then SA playing the “Sticks” would be at-most 33.3% advantageous, while the “Carrots” approach would yield at-least 66.7% advantage. In the asymmetric variant, if the operational cost drops by 80%, then SA playing the “Sticks” would enjoy 100% chance of winning the community’s optimal supports, while the “Carrots” would yield at most 20% advantage. But if the cost rises by at least 30%, then SA playing the “Sticks” would enjoy 50:50 advantage. Comparatively, the TG would enjoy 50:50 chance of winning the community’s optimal supports by playing the “Sticks” if the cost of operation drops by 90%. But if the cost rises by at least 20%, then TG playing the “Sticks” would enjoy at most 33.3% while the “Carrots” would yield at least 66.7% advantage. Thus, the cost of operation is the major determinant of either player’s strategic approach. Under the mixed strategy, if the benefit of operation exceeds its cost, then SA playing the “Sticks” is an evolutionary stable strategy (ESS), otherwise, combining the “Sticks and Carrots” simultaneously would yield an ESS. Summarily, the SAs’ stake in terrorism prevention and control using the “Sticks” approach is proportional to its operational cost and vice versa. Therefore, considering the capital intensive as well as the intelligence deficient characteristics of the “Sticks” approach, the SA cannot prevent/control terrorism using the “Stick” instruments only. Rather a viable “Carrots” approach or its combination with credible “Sticks” instruments would be necessary and sufficient to win the community’s optimal supports for effective terrorism prevention and control.


2016 ◽  
Vol 12 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Ramón Alcarria ◽  
Diego Martín ◽  
Tomás Robles ◽  
Álvaro Sánchez-Picot

The challenge of service distribution has been considered in the fields of cross-organizational interoperability, grid computing and task delegation but little addressed for cross-zone application deployment in Cloud Computing. This paper proposes a process model transformation technique based on activity aggregation to efficiently distribute services for the Web of Data between various Cloud availability zones. The authors propose a workflow decomposition method based on SPQR fragments and the definition of an efficient service distribution algorithm according to a defined cost model. This cost model considers not only the transmission of information between activities for data and control scopes but also the cost of activity execution in different regions. Finally the authors validate their method by providing a tool that introduces the distribution information into the workflow, applying their distribution algorithm in a use case and describing the transformation process to distributed BPEL code that can be easily deployed to back-end instances.


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