scholarly journals The Great Lockdown in the Wake of COVID-19 and Its Implications: Lessons for Low and Middle-Income Countries

2022 ◽  
Vol 19 (1) ◽  
pp. 610
Author(s):  
Sigamani Panneer ◽  
Komali Kantamaneni ◽  
Vigneshwaran Subbiah Akkayasamy ◽  
A. Xavier Susairaj ◽  
Prasant Kumar Panda ◽  
...  
Keyword(s):  
Emerging Economies ◽  
Distance Measures ◽  
Economic Activities ◽  
Middle Income ◽  
Scarce Resources ◽  
Effective Strategies ◽  
Middle Income Countries ◽  
Vulnerable Communities ◽  
Current Systematic Review ◽  
Lower Income Countries

Concern for public health has been growing with the increasing volume of cases of COVID-19 in India. To combat this pandemic, India has implemented nationwide lockdowns, and unlocking phases continue with certain restrictions in different parts of the country. The lockdown has required people to adopt social-distance measures to minimize contacts in order to reduce the risks of additional infection. Nevertheless, the lockdown has already impacted economic activities and other dimensions of the health of individuals and society. Although many countries have helped their people through advanced welfare protection networks and numerous support aids, several emerging economies face specific difficulties to adapt to the pandemic due to vulnerable communities and scarce resources. However, certain lower-income countries need more rigorous analysis to implement more effective strategies to combat COVID-19. Accordingly, the current systematic review addresses the impacts of the COVID-19 pandemic and lockdowns in India in relation to health and the economy. This work also provides further information on health inequalities, eco-nomic and social disparities in the country due to the COVID-19 pandemic and lockdowns and also contributes pragmatic suggestions for overcoming these challenges. These observations will be useful to the relevant local and national officials for improving and adopting novel strategies to face lockdown challenges

scholarly journals Effective Strategies for Global Health Training Programs A Systematic Review of Training Outcomes in Low and Middle Income Countries

2016 ◽  
Vol 8 (11) ◽  
pp. 278 ◽  
Author(s):  
Aprill Z. Dawson ◽  
Rebekah J. Walker ◽  
Jennifer A. Campbell ◽  
Leonard E. Egede
Keyword(s):  
Medical Training ◽  
Skills Training ◽  
High Income ◽  
Training Methods ◽  
Middle Income ◽  
Training Outcomes ◽  
Effective Strategies ◽  
Middle Income Countries ◽  
Low Middle Income Countries ◽  
Low And Middle Income

<p><strong>INTRODUCTION: </strong>Low and middle-income countries face a continued burden of chronic illness and non-communicable diseases while continuing to show very low health worker utilization. With limited numbers of medical schools and a workforce shortage the poor health outcomes seen in many low and middle income countries are compounded by a lack of within country medical training.</p><p><strong>METHODS: </strong>Using a systematic approach, this paper reviews the existing literature on training outcomes in low and middle-income countries in order to identify effective strategies for implementation in the developing world. This review examined training provided by high-income countries to low- and middle-income countries.</p><p><strong>RESULTS: </strong>Based on article eligibility, 24 articles were found to meet criteria. Training methods found include workshops, e-learning modules, hands-on skills training, group discussion, video sessions, and role-plays. Of the studies with statistically significant results training times varied from one day to three years. Studies using both face-to-face and video found statistically significant results.</p><p><strong>DISCUSSION:</strong> Based on the results of this review, health professionals from high-income countries should be encouraged to travel to low- middle-income countries to assist with providing training to health providers in those countries.</p>

DOES TECHNOLOGICAL SPECIALIZATION SPUR HIGH-TECHNOLOGY EXPORTS? EVIDENCE FROM PANEL QUANTILE REGRESSIONS

2020 ◽  
Vol 20 (02) ◽  
pp. 2050013
Author(s):  
SIDHESWAR PANDA ◽  
RUCHI SHARMA
Keyword(s):  
Emerging Economies ◽  
Export Performance ◽  
High Technology ◽  
Quantile Regressions ◽  
Middle Income ◽  
Middle Income Countries ◽  
Technological Advances ◽  
Technological Advantage ◽  
Technological Specialization

In view of the technological advances made by emerging economies, we revisit the role of technological specializations of different economies in determining their exports. Employing revealed technological advantage (RTA) index and revealed symmetric technological advantage (RSTA) index, this study explores the technological specialization of countries in different fields and its contribution to high-technology exports. Technological specializations are operationalized using patent data and further analyzed in context of country’s exports data of 63 countries during 2000–2013. Using panel quantile regressions analysis, this paper finds that technological specialization determines the export performance of countries in different categories. We find that middle-income countries are among the top countries with respect to few fields of technological specializations. Hence, there is a need to change the perspective whereby developing countries are viewed as mere technological follower. This finding has an implication for the role of patents in technological specialization and export performance, both of which are important factors in international competitiveness.

scholarly journals Tailored support for national NCD policy and programme implementation: an over-looked priority

2020 ◽  
Vol 5 (8) ◽  
pp. e002598 ◽  
Author(s):  
Angela Jackson-Morris ◽  
Rachel Nugent
Keyword(s):  
Low Income ◽  
Technical Support ◽  
Programme Implementation ◽  
Middle Income ◽  
Capacity Enhancement ◽  
Integrative Health ◽  
Effective Strategies ◽  
Middle Income Countries ◽  
Premature Deaths ◽  
National Investment

Many low-income and middle-income countries (LMICs) are unlikely to achieve Sustainable Development Goal 3.4 to reduce premature deaths from non-communicable diseases (NCDs) by one-third by 2030. For some, the prospect is receding: between 2010 and 2020, the decline in premature deaths for the major NCDs slowed compared with the prior decade. Barriers to implementing effective strategies are well known, yet the value of tailored technical support to countries has been overlooked and downplayed. Tailored technical support is specialist guidance for country-specific application of technical tools, and capacity enhancement when needed, that enables an LMIC to advance its NCD priorities and plans. We present a model identifying pivotal junctures where tailored technical support can help surmount implementation obstacles. We draw on our experience preparing NCD investment cases with health ministries, development partners and technical agencies. National investment cases produce evidence based, locally tailored and costed packages of NCD interventions and policies appropriate to national needs and circumstances. They can include analysis of financing needs and point towards sustainable funding mechanisms. Enhancing the NCD-specific knowledge of government and Civil Society Organization leads can capitalise on existing expertise, aid integrative health system developments and unlock capabilities to use global tools and guidance. Investment cases form a platform to develop or review NCD plans and (re)prioritise action, then apply implementation science to trouble-shoot obstacles. Partnering national stakeholders with technical support in this process is critical to develop and implement effective NCD strategies.

Industrial and Agricultural Pollution Patterns

2013 ◽  
Vol 13 (1) ◽  
pp. 1-24
Author(s):  
Don P. Clark ◽  
Alejandro E. Dellachiesa
Keyword(s):  
Economic Activity ◽  
Environmental Policies ◽  
Agricultural Pollution ◽  
Lower Income ◽  
Emissions Reductions ◽  
Middle Income ◽  
Middle Income Countries ◽  
Per Capita ◽  
Pollution Emissions ◽  
Lower Income Countries

Industrial and agricultural pollution emissions are compared with levels of economic activity as countries move up the per capita income scale. Pollution emissions are found to be concentrated among the lower income countries. Industrial CH4 and both agricultural CH4 and N2O emissions display the highest degrees of concentration among poorer countries relative to their GDP shares. Agricultural CH4 and N2O emissions are more concentrated among the poorer countries than are industrial CH4 and N2O emissions. Little improvement in environmental quality will result from implementing costly emissions reductions in the industrial nations alone. Environmental policies must focus on lower- and middle-income countries. More attention must be devoted to reducing agricultural pollution emissions. Improving the economic activity–environmental tradeoff will require a global approach to reducing greenhouse gases.

scholarly journals The Importance of a Food Systems Approach to Low and Middle Income Countries and Emerging Economies: A Review of Theories and Its Relevance for Disease Control and Malnutrition

2021 ◽  
Vol 5 ◽  
Author(s):  
Pablo Alarcon ◽  
Paula Dominguez-Salas ◽  
Eric M. Fèvre ◽  
Jonathan Rushton
Keyword(s):  
Public Health ◽  
Food Safety ◽  
Emerging Economies ◽  
Food Systems ◽  
Food System ◽  
Systems Science ◽  
Multidisciplinary Teams ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

Our review explores the changing food production, distribution and consumption environment in low and middle-income countries and emerging economies as a basis for framing how to study food systems in order to address public health issues of food safety and nutrition. It presents the state of knowledge on existing food systems science and its use in terms of sustainable actions for food safety and public health. The review identifies a knowledge gap in food system mapping and governance, with value chain mapping of key commodities often missing. Despite a number of initiatives, the application of food systems methods is highly variable in scope and quality. Most analyses concentrate on specific commodities, rarely taking into account the need for a whole diet approach when looking at nutrition or the assessment of a range of infectious agents and their interactions when looking at food safety. Of the studies included in the review there is a growing observation of “informal” food systems, a term used inconsistently and one that requires revision. “Informal” food systems link to the formal sector to provide food security, yet with trade-offs between economic efficiencies and food safety. Efforts to improve food safety are hampered by inadequate food safety capacities and a lack of policy coherence leading to: inadequate investment; fragmented food quality control systems; weak or non-existent traceability mechanisms; weak foodborne disease surveillance; obsolete food regulation; and weak regulatory enforcement. In-depth food systems assessments can complement risk analysis to identify risky behaviors and understand institutional settings in order to improve codes of practice and enforcement. Methods for looking at food safety from a food systems perspective are emerging, yet existing nutrition and food systems science are not advancing sufficiently in response to nutritional public health problems. There is an urgency for improved understanding of the structure and drivers of the food systems, for better planning of changes that leads to nutrients access and healthy levels of eating. It is proposed that countries and international institutions provide an atlas of food system maps for the key commodities based on an agreed common methodology and developed by multidisciplinary teams.

scholarly journals Prevalence of Abnormal Umbilical Arterial Flow on Doppler Ultrasound in Low-risk and Unselected Pregnant Women: A Systematic Review

2020 ◽  
Author(s):  
Joshua Peter Vogel ◽  
Valerie Vannevel ◽  
Gianna Robbers ◽  
George Gwako ◽  
Tina Lavin ◽  
...  
Keyword(s):  
Systematic Review ◽  
Pregnant Women ◽  
Doppler Ultrasound ◽  
Observational Studies ◽  
Arterial Flow ◽  
Ultrasound Screening ◽  
Lower Income ◽  
Middle Income ◽  
Middle Income Countries ◽  
Lower Income Countries

Abstract Background: While Doppler ultrasound screening is beneficial for women with high-risk pregnancies, there is insufficient evidence on its benefits and harms in low- and unselected-risk pregnancies. This may be related to fewer events of abnormal Doppler flow, however the prevalence of absent or reversed end diastolic flow (AEDF or REDF) in such women is unknown. In this systematic review, we aimed to synthesise available data on the prevalence of AEDF or REDF.Methods: We searched PubMed, Embase, CINAHL, CENTRAL and Global Index Medicus with no date, setting or language restrictions. All randomized or non-randomized studies reporting AEDF or REDF prevalence based on Doppler assessment of umbilical arterial flow >20 weeks’ gestation were eligible. Two authors assessed eligibility and extracted data on primary (AEDF and REDF) and secondary (fetal, perinatal, and neonatal mortality, caesarean section) outcomes, with results presented descriptively. Results: A total of 42 studies (18,282 women) were included. Thirty-six studies reported zero AEDF or REDF cases. However, 55 AEDF or REDF cases were identified from just six studies (prevalence 0.08% to 2.13%). Four of these studies were in unselected-risk women and five were conducted in high-income countries. There was limited evidence from low- and middle-income countries.Conclusions: Evidence from largely observational studies in higher-income countries suggests that AEDF and REDF are rare among low- and unselected-risk pregnant women. There are insufficient data from lower-income countries and further research is required.

scholarly journals Towards a New Industrial Policy for Structural Transformation

2021 ◽  
pp. 337-362
Author(s):  
Antonio Andreoni ◽  
Pamela Mondliwa ◽  
Simon Roberts ◽  
Fiona Tregenna
Keyword(s):  
South Africa ◽  
Structural Transformation ◽  
Global Economy ◽  
Manufacturing Sector ◽  
Economic Activities ◽  
Middle Income ◽  
Middle Income Countries ◽  
Lower Productivity ◽  
State Interventions ◽  
Climate Crisis

The South African case provides important insights into the challenges facing middle-income countries as they attempt to build productive capabilities to drive their structural transformation. Despite South Africa having opened up and integrated with the global economy, liberalizing trade and financial markets, it has remained stuck in relatively lower-productivity activities with weak diversification of exports. There continues to be a strong path dependency where markets are structured and shaped by previous investment decisions, state interventions, and entrenched rentieristic interests. Five important lessons emerge. First, premature deindustrialization needs to be arrested and reversed, including the growth and upgrading of the manufacturing sector. Second, the technological changes under way with the digitalization of economic activities mean that developing an industrial ecosystem of firms with effective links to public institutions is critical. Third, inclusive industrialization depends on achieving structural change and dismantling barriers to entry to allow a new system of accumulation to emerge. Fourth, structural transformation depends on a country’s political settlement, specifically whether coalitions of interests that support the organization of industries for long-term investment in capabilities hold sway. Fifth, purposive and coordinated industrial policies are central to achieving these goals and improving the country’s productivity and competitiveness. These are applied to identify key considerations for industrial strategy in South Africa, including confronting concentration and the urgent implications of the climate crisis, to ‘build back better’ from the Covid-19 pandemic.

scholarly journals Is Greenfield Investment Greener for the Welfare of Lower-Middle Income Countries? Market based Empirical Analysis with GMM Approach

2021 ◽  
Vol 3 (3) ◽  
pp. 194-206
Author(s):  
Ali Raza ◽  
Muhammad Iqbal ◽  
Nasir Hussian
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Income Group ◽  
Economic Activities ◽  
Host Countries ◽  
Middle Income ◽  
Middle Income Countries ◽  
Middle Income Group ◽  
One Step ◽  
Complete Data Analysis

Globalization is considered as the catalyst for the progress of economic activities and economic development of lower-middle-income countries. Greenfield investment not only promotes welfare but also helps in the health and education sector of these countries. This study examined thirty-four (34) sampled countries of the lower-middle-income group from different regions for a time span of 1998-2017. Im, Pesaran and Shin (2003) test is applied for testing panel unit root and one step system GMM technique is applied for the complete data analysis. The results of the study concluded that greenfield investment has increased economic growth and helped to push the welfare activities of sampled countries. Besides the increase in economic growth and welfare, greenfield investment also brings improvement in the health and education sectors through the transfer of new and advanced technologies from the developed nation firms to the host countries. Therefore, lower-middle-income countries must approve soft and friendly economic and business policies for the attraction of foreign investors from abroad. Such policies will help in promoting and increasing economic activities and economic development of the sampled countries.

scholarly journals App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning

2020 ◽  
Author(s):  
LEILA F. DANTAS ◽  
IGOR T. PERES ◽  
LEONARDO S.L. BASTOS ◽  
JANAINA F. MARCHESI ◽  
GUILHERME F.G. DE SOUZA ◽  
...  
Keyword(s):  
Machine Learning ◽  
Disease Control ◽  
Control Strategies ◽  
External Validation ◽  
False Negative ◽  
Machine Learning Techniques ◽  
Middle Income ◽  
Scarce Resources ◽  
Middle Income Countries ◽  
Applied Machine Learning

Background: Tests are scarce resources, especially in low and middle-income countries, and the optimization of testing programs during a pandemic is critical for the effectiveness of the disease control. Hence, we aim to use the combination of symptoms to build a regression model as a screening tool to identify people and areas with a higher risk of SARS-CoV-2 infection to be prioritized for testing. Materials and Methods: We applied machine learning techniques and provided a visualization of potential regions with high densities of COVID-19 as a risk map. We performed a retrospective analysis of individuals registered in "Dados do Bem", an app-based symptom tracker in use in Brazil. Results: From April 28 to July 16, 2020, 337,435 individuals registered their symptoms through the app. Of these, 49,721 participants were tested for SARS-CoV-2 infection, being 5,888 (11.8%) positive. Among self-reported symptoms, loss of smell (OR[95%CI]: 4.6 [4.4 - 4.9]), fever (2.6 [2.5 - 2.8]), and shortness of breath (2.1 [1.6-2.7]) were associated with SARS-CoV-2 infection. Our final model obtained a competitive performance, with only 7% of false-negative users among the predicted as negatives (NPV = 0.93). From the 287,714 users still not tested, our model estimated that only 34.5% are potentially infected, thus reducing the need for extensive testing of all registered users. The model was incorporated by the "Dados do Bem" app aiming to prioritize users for testing. We developed an external validation in the state of Goias and found that of the 465 users selected, 52% tested positive. Conclusions: Our results showed that the combination of symptoms might predict SARS-Cov-2 infection and, therefore, can be used as a tool by decision-makers to refine testing and disease control strategies.

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