scholarly journals An Update on Novel Approaches for Diagnosis and Treatment of SARS-CoV-2 Infection

2021 ◽  
Author(s):  
Azadeh Safarchi ◽  
Shadma Fatima ◽  
Zahra Ayati ◽  
Fatemeh Vafaee
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Vaccine Development ◽  
Health Workers ◽  
Diagnosis And Treatment ◽  
Therapeutic Approaches ◽  
Traditional Medicines ◽  
Frontline Health Workers ◽  
Novel Approaches ◽  
Cost Efficient

The ongoing pandemic of coronavirus disease 2019 (COVID-19) has made serious public health and economic crisis worldwide which united global efforts to develop rapid, precise, and cost-efficient diagnostics, vaccines, and therapeutics. Numerous multi-disciplinary studies and techniques have been designed to investigate and develop various approaches to help frontline health workers, policymakers, and populations to overcome the disease. While these techniques have been reviewed within individual disciplines, it is now timely to provide a cross-disciplinary overview of novel diagnostic and therapeutic approaches summarizing complementary efforts across multiple fields of research and technology. Accordingly, we reviewed and summarized various advanced novel approaches used for diagnosis and treatment of COVID-19 to help researchers across diverse disciplines on their prioritization of resources for research and development and to give them a better picture of the latest techniques. These include artificial intelligence, nano-based, CRISPR-based, and mass spectrometry technologies as well as neutralizing factors and traditional medicines. We also reviewed new approaches for vaccine development and developed a dashboard to provide frequent updates on the current and future approved vaccines.

scholarly journals An update on novel approaches for diagnosis and treatment of SARS-CoV-2 infection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Azadeh Safarchi ◽  
Shadma Fatima ◽  
Zahra Ayati ◽  
Fatemeh Vafaee
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Vaccine Development ◽  
Health Workers ◽  
Diagnosis And Treatment ◽  
Therapeutic Approaches ◽  
Traditional Medicines ◽  
Frontline Health Workers ◽  
Novel Approaches ◽  
Cost Efficient

AbstractThe ongoing pandemic of coronavirus disease 2019 (COVID-19) has made a serious public health and economic crisis worldwide which united global efforts to develop rapid, precise, and cost-efficient diagnostics, vaccines, and therapeutics. Numerous multi-disciplinary studies and techniques have been designed to investigate and develop various approaches to help frontline health workers, policymakers, and populations to overcome the disease. While these techniques have been reviewed within individual disciplines, it is now timely to provide a cross-disciplinary overview of novel diagnostic and therapeutic approaches summarizing complementary efforts across multiple fields of research and technology. Accordingly, we reviewed and summarized various advanced novel approaches used for diagnosis and treatment of COVID-19 to help researchers across diverse disciplines on their prioritization of resources for research and development and to give them better a picture of the latest techniques. These include artificial intelligence, nano-based, CRISPR-based, and mass spectrometry technologies as well as neutralizing factors and traditional medicines. We also reviewed new approaches for vaccine development and developed a dashboard to provide frequent updates on the current and future approved vaccines.

scholarly journals Knowledge and practices regarding malaria and the National Treatment Guidelines among public health workers in Equatorial Guinea

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Marta Blanco ◽  
Pablo Suárez-Sanchez ◽  
Belén García ◽  
Jesús Nzang ◽  
Policarpo Ncogo ◽  
...  
Keyword(s):  
Public Health ◽  
Treatment Guidelines ◽  
Health Workers ◽  
Health Centre ◽  
Regional Hospital ◽  
Malaria Treatment ◽  
Diagnosis And Treatment ◽  
Equatorial Guinea ◽  
Public Health Facilities ◽  
Health Centres

Abstract Background In 2018, an estimated 228 million cases of malaria occurred worldwide. Countries are far from having achieved reasonable levels of national protocol compliance among health workers. Lack of awareness of treatment protocols and treatment resistance by prescribers threatens to undermine progress when it comes to reducing the prevalence of this disease. This study sought to evaluate the degree of knowledge and practices regarding malaria diagnosis and treatment amongst prescribers working at the public health facilities of Bata, Equatorial Guinea. Methods A cross-sectional survey was conducted in October-December 2017 amongst all public health professionals who attended patients under the age of 15 years, with suspected malaria in the Bata District of Equatorial Guinea. Practitioners were asked about their practices and knowledge of malaria and the National Malaria Treatment Guidelines. A bivariate analysis and a logistic regression model were used to determine factors associated with their knowledge. Results Among the 44 practitioners interviewed, 59.1% worked at a Health Centre and 40.9% at the District Hospital of Bata. Important differences in knowledge and practices between hospital and health centre workers were found. Clinical diagnosis was more frequently by practitioners at the health centres (p = 0.059), while microscopy confirmation was more frequent at regional hospital (100%). Intramuscular artemether was the anti-malarial most administrated at the health centres (50.0%), while artemether-lumefantrine was the treatment most used at the regional hospital (66.7%). Most practitioners working at public health facilities (63.6%) have a low level of knowledge regarding the National Malaria Treatment Guidelines. While knowledge regarding malaria, the National Malaria Treatment Guidelines and treatment resistances is low, it was higher amongst hospital workers than amongst practitioners at health centres. Conclusions It is essential to reinforce practitioners’ knowledge, treatment and diagnosis practices and use of the National Malaria Treatment Guidelines in order to improve malaria case management and disease control in the region. A specific malaria training programme ensuring ongoing updates training is necessary in order to ensure that greater experience does not entail obsolete knowledge and, consequently, inadequate diagnosis and treatment practices.

A sustainable community based model of non-communicable disease risk factor surveillance: “SHRADDHA-JAGRITHI project” (Preprint)

2021 ◽  
Author(s):  
Jaideep Menon ◽  
Mathews Numpeli ◽  
Sajeev.P. Kunjan ◽  
Beena.V. Karimbuvayilil ◽  
Aswathy Sreedevi ◽  
...  
Keyword(s):  
Public Health ◽  
Health System ◽  
Public Health System ◽  
Health Workers ◽  
Communicable Disease ◽  
Community Based ◽  
Frontline Health Workers ◽  
The Individual ◽  
Non Communicable Disease

UNSTRUCTURED Abstract: India has a massive non-communicable disease (NCD) burden at an enormous cost to the individual, family, society and health system at large, in spite of which prevention and surveillance is relatively neglected. Risk factors for atherosclerotic cardiovascular disease if diagnosed early and treated adequately would help decrease the mortality and morbidity burden. India is in a stage of rapid epidemiological transition with the state of Kerala being at the forefront, pointing us towards likely disease burden and outcomes for the rest of the country, in the future. A previous study done by the same investigators, in a population of >100,000, revealed poor awareness and treatment of NCDs and also poor adherence to medicines in individuals with CVD. The investigators are looking at a sustainable, community based model of surveillance for NCDs with corporate support wherein frontline health workers check all individuals in the target group ( > age 30 years) with further follow up and treatment planned in a “spoke and hub” model using the public health system of primary health centres (PHCs) as spokes to the hubs of Taluk or District hospitals. All data entry done by frontline health workers would be on a Tab PC ensuring rapid acquisition and transfer of participant health details to PHCs for further follow up and treatment. The model will be evaluated based on the utilisation rate of various services offered at all tier levels. The proportions of the target population screened, eligible individuals who reached the spoke or hub centres for risk stratification and care and community level control for hypertension and diabetes in annual surveys will be used as indicator variables. The model ensures diagnosis and follow up treatment at no cost to the individual entirely through the tiered public health system of the state and country.

scholarly journals Coronavirus Disease 2019 (COVID-19) Response in Zimbabwe: A Call for Urgent Scale-up of Testing to meet National Capacity

2020 ◽  
Author(s):  
Tafadzwa Dzinamarira ◽  
Solomon Mukwenha ◽  
Rouzeh Eghtessadi ◽  
Diego F Cuadros ◽  
Gibson Mhlanga ◽  
...  
Keyword(s):  
Public Health ◽  
Working Conditions ◽  
Health Workers ◽  
Universal Access ◽  
Scale Up ◽  
Health Concern ◽  
Public Health Concern ◽  
Frontline Health Workers ◽  
National Public Health ◽  
National Capacity

Abstract Control of coronavirus disease 2019 (COVID-19) heavily relies on universal access to testing in order to identify who is infected; track them to make sure they do not spread the disease further; and trace those with whom they have been in contact. The recent surge in COVID-19 cases in Zimbabwe is an urgent national public health concern and requires coordinated efforts to scale up testing using the capacity already in existence in the country. There is a need for substantial decentralization of testing, investment in better working conditions for frontline health workers, and the implementation of measures to curb corruption within government structures.

scholarly journals Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China

2021 ◽  
Vol 45 (9) ◽  
Author(s):  
Jiancheng Dong ◽  
Huiqun Wu ◽  
Dong Zhou ◽  
Kaixiang Li ◽  
Yuanpeng Zhang ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Big Data ◽  
Prevention And Control ◽  
Vaccine Development ◽  
Management Decision ◽  
Management Decisions ◽  
Health Events ◽  
Effective Diagnosis ◽  
And Control

AbstractCOVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), spread rapidly and affected most of the world since its outbreak in Wuhan, China, which presents a major challenge to the emergency response mechanism for sudden public health events and epidemic prevention and control in all countries. In the face of the severe situation of epidemic prevention and control and the arduous task of social management, the tremendous power of science and technology in prevention and control has emerged. The new generation of information technology, represented by big data and artificial intelligence (AI) technology, has been widely used in the prevention, diagnosis, treatment and management of COVID-19 as an important basic support. Although the technology has developed, there are still challenges with respect to epidemic surveillance, accurate prevention and control, effective diagnosis and treatment, and timely judgement. The prevention and control of sudden infectious diseases usually depend on the control of infection sources, interruption of transmission channels and vaccine development. Big data and AI are effective technologies to identify the source of infection and have an irreplaceable role in distinguishing close contacts and suspicious populations. Advanced computational analysis is beneficial to accelerate the speed of vaccine research and development and to improve the quality of vaccines. AI provides support in automatically processing relevant data from medical images and clinical features, tests and examination findings; predicting disease progression and prognosis; and even recommending treatment plans and strategies. This paper reviews the application of big data and AI in the COVID-19 prevention, diagnosis, treatment and management decisions in China to explain how to apply big data and AI technology to address the common problems in the COVID-19 pandemic. Although the findings regarding the application of big data and AI technologies in sudden public health events lack validation of repeatability and universality, current studies in China have shown that the application of big data and AI is feasible in response to the COVID-19 pandemic. These studies concluded that the application of big data and AI technology can contribute to prevention, diagnosis, treatment and management decision making regarding sudden public health events in the future.

scholarly journals Can communication media improve the KAP status of frontline health workers? A cross-sectional study on MCH indicators from Assam, India

2016 ◽  
Vol 5 (2) ◽  
pp. 57-64 ◽  
Author(s):  
Lipi B Mahanta ◽  
Manisha Choudhury ◽  
Sikha Borthakur ◽  
Ritul Bhagabati ◽  
Partha Gogoi
Keyword(s):  
Public Health ◽  
Maternal Health ◽  
Child Health ◽  
Delivery System ◽  
Health Workers ◽  
Cross Sectional Study ◽  
Communication Media ◽  
Sectional Study ◽  
Cross Sectional ◽  
Frontline Health Workers

Frontline health workers are now key component in any public health delivery system, providing essential information on basic components of health, nutrition and sanitation for improving the utilization of primary health care delivery system by the community. This study was conducted to find out the Knowledge Attitude and Practices (KAP) of Accredited Social Health Activist (ASHA) workers on maternal health and child health components, service delivery system and to find out the association of different communication media on KAP status regarding above components. It is a cross-sectional study. Data was collected using a pre-tested structured questionnaire from 264 ASHA workers from 8 blocks of 5 districts of Assam selected randomly. Multiple regression analysis has been used to associate various findings and variables. The overall KAP status of most of the ASHAs (72%) was found to be 'Good'. It was observed that 70.45% had good KAP regarding maternal health components, 82.2% had good KAP on child health components, and 78.79% on common diseases. Communication media like TV, radio and mobile have also been found to have significant effect on certain KAP by ASHAs. Most of the ASHAs have been found competent in some aspects of health and nutrition components which have direct impact on child survival and maternal health. But at the same time average to poor knowledge level have been seen in some other important indicators. Hence proper training and timely re-orientation and information sharing through different suitable medium would be helpful for improving the KAP status of ASHAs.South East Asia Journal of Public Health Vol.5(2) 2015: 57-64

scholarly journals Novel approaches to measuring knowledge among frontline health workers in India: Are phone surveys a reliable option?

PLoS ONE ◽  
2020 ◽  
Vol 15 (6) ◽  
pp. e0234241
Author(s):  
Neha Shah ◽  
Diwakar Mohan ◽  
Smisha Agarwal ◽  
Kerry Scott ◽  
Sara Chamberlain ◽  
...  
Keyword(s):  
Health Workers ◽  
Frontline Health Workers ◽  
Novel Approaches

Eliminating Hepatitis B from Bangladesh by the Year 2030

2020 ◽  
Vol 38 (3) ◽  
pp. 145-149
Author(s):  
Md Golam Mustafa ◽  
Md Shahinul Alam ◽  
Md Golam Azam ◽  
Md Mahabubul Alam ◽  
Md Saiful Islam ◽  
...  
Keyword(s):  
Hepatitis B ◽  
Health Workers ◽  
Health Sector ◽  
Public Health Problem ◽  
Integrated System ◽  
Hbv Infection ◽  
Diagnosis And Treatment ◽  
Major Public Health Problem ◽  
Medical Institutions ◽  
The Government

Worldwide, hepatitis B virus (HBV) infection is still a major public health problem. Bangladesh having a large burden of HBV infection, should be a major contributor towards it’s elimination by 2030. The country has been making progress in reducing incidence of HBV infection during the past decades. The progresses are mainly due to large vaccination coverage among children and large coverage of timely birthdose vaccine for prevention of mother-to-child transmission of HBV. However, Bangladesh still faces challenges in achieving target of reduction in mortality from HBV. On the basis of targets of the WHO’s Global health sector strategy on viral hepatitis 2016–2021, we highlight priorities for action towards HBV elimination. To attain the target of reduced mortality we propose that, the service coverage targets of diagnosis and treatment should be prioritized along with vaccination. Firstly, improvements are needed in the diagnostic and treatment abilities of medical institutions and health workers. Secondly, the government needs to reduce the costs of health care. Thirdly, better coordination is needed across existing national program and resources to establish an integrated system for prevention, screening, diagnosis and treatment of HBV infection. In this way, we can make progress towards achieving the target of eliminating HBV from Bangladesh by 2030 J Bangladesh Coll Phys Surg 2020; 38(3): 145-149

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