scholarly journals The Impact of Development Aid on Education and Health: Survey and New Evidence for Low-income Countries from Dynamic Models

2016 ◽  
Vol 28 (8) ◽  
pp. 1358-1380 ◽  
Author(s):  
Thomas Ziesemer
Keyword(s):  
Health Survey ◽  
Low Income ◽  
Dynamic Models ◽  
Development Aid ◽  
Low Income Countries ◽  
Education And Health ◽  
The Impact ◽  
New Evidence

Bilateral Aid Allocation for International Development: Impact of the Financial Crisis

2018 ◽  
Vol 2018 (4) ◽  
pp. 100-121
Author(s):  
Elena Balter ◽  
Aleksandra Morozkina
Keyword(s):  
Financial Crisis ◽  
International Development ◽  
Low Income ◽  
Development Assistance ◽  
Development Aid ◽  
Low Income Countries ◽  
External Financing ◽  
Bilateral Aid ◽  
The Impact ◽  
Allocation Decisions

This article examines the impact of financial crisis of 2008-2009 on allocation of development aid. Using OECD data on Official Development Assistance (ODA) allocation for international development by key donor countries, authors test three hypotheses: first, general impact of crisis on ODA allocation; second, impact of crisis on three recipient income groups; third, impact of crisis on relative importance of analyzed factors for ODA allocation decisions. The results show that general impact of crisis on ODA volumes was negative, although donors preferred to increase aid to low-income countries. Impact of factors describing economic situation in donor countries (public debt level, government expenditures and donor growth) increased after crisis. Donor countries might make use of these results to increase efficiency of their development assistance strategies, whereas recipient countries may exploit these results in order to attract more external financing for development.

Using disease dynamics and modeling to inform control strategies in low-income countries

2018 ◽  
Author(s):  
Matthew Ferrari
Keyword(s):  
Infectious Disease ◽  
Low Income ◽  
Dynamic Models ◽  
Control Strategies ◽  
Disease Incidence ◽  
Herd Immunity ◽  
Unintended Consequences ◽  
Low Income Countries ◽  
Disease Dynamics ◽  
The Impact

The incidence infectious disease is inherently dynamic in time and space. Mathematical models that account for the dynamic processes that give rise to fluctuations in disease incidence are powerful tools in disease management and control. We describe the use of dynamic models for surveillance, evaluation and prediction of disease control efforts in low-income countries. Dynamic models can help to anticipate trends owing to intrinsic (e.g., herd immunity) or extrinsic (e.g., seasonality) forces that may confound efforts to isolate the impact of specific interventions. Infectious disease dynamics are frequently nonlinear, meaning that future outcomes are difficult to predict through simple extrapolation of present conditions. Thus, dynamic models can help to explore the potential consequences of proposed interventions. These projections can alert managers to the potential for unintended consequences of control and help to define effect sizes for the design of conventional studies of the impact of interventions.

scholarly journals Tuberculosis and Non-Communicable Disease Multimorbidity: An Analysis of the World Health Survey in 48 Low- and Middle-Income Countries

2021 ◽  
Vol 18 (5) ◽  
pp. 2439
Author(s):  
Brendon Stubbs ◽  
Kamran Siddiqi ◽  
Helen Elsey ◽  
Najma Siddiqi ◽  
Ruimin Ma ◽  
...  
Keyword(s):  
Health Survey ◽  
Low Income ◽  
World Health ◽  
Low Income Countries ◽  
Multivariable Logistic Regression Analysis ◽  
World Health Survey ◽  
Middle Income ◽  
Middle Income Countries ◽  
The World ◽  
Low And Middle Income

Tuberculosis (TB) is a leading cause of mortality in low- and middle-income countries (LMICs). TB multimorbidity [TB and ≥1 non-communicable diseases (NCDs)] is common, but studies are sparse. Cross-sectional, community-based data including adults from 21 low-income countries and 27 middle-income countries were utilized from the World Health Survey. Associations between 9 NCDs and TB were assessed with multivariable logistic regression analysis. Years lived with disability (YLDs) were calculated using disability weights provided by the 2017 Global Burden of Disease Study. Eight out of 9 NCDs (all except visual impairment) were associated with TB (odds ratio (OR) ranging from 1.38–4.0). Prevalence of self-reported TB increased linearly with increasing numbers of NCDs. Compared to those with no NCDs, those who had 1, 2, 3, 4, and ≥5 NCDs had 2.61 (95% confidence interval (CI) = 2.14–3.22), 4.71 (95%CI = 3.67–6.11), 6.96 (95%CI = 4.95–9.87), 10.59 (95%CI = 7.10–15.80), and 19.89 (95%CI = 11.13–35.52) times higher odds for TB. Among those with TB, the most prevalent combinations of NCDs were angina and depression, followed by angina and arthritis. For people with TB, the YLDs were three times higher than in people without multimorbidity or TB, and a third of the YLDs were attributable to NCDs. Urgent research to understand, prevent and manage NCDs in people with TB in LMICs is needed.

scholarly journals The Clean pilot study: evaluation of an environmental hygiene intervention bundle in three Tanzanian hospitals

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Giorgia Gon ◽  
Abdunoor M. Kabanywanyi ◽  
Petri Blinkhoff ◽  
Simon Cousens ◽  
Stephanie J. Dancer ◽  
...  
Keyword(s):  
Pilot Study ◽  
Study Design ◽  
Low Income ◽  
High Volume ◽  
Surface Cleaning ◽  
Low Income Countries ◽  
Training Period ◽  
Future Research ◽  
Environmental Hygiene ◽  
The Impact

Abstract Background Healthcare associated infections (HAI) are estimated to affect up to 15% of hospital inpatients in low-income countries (LICs). A critical but often neglected aspect of HAI prevention is basic environmental hygiene, particularly surface cleaning and linen management. TEACH CLEAN is an educational intervention aimed at improving environmental hygiene. We evaluated the effectiveness of this intervention in a pilot study in three high-volume maternity and newborn units in Dar es Salaam, Tanzania. Methods This study design prospectively evaluated the intervention as a whole, and offered a before-and-after comparison of the impact of the main training. We measured changes in microbiological cleanliness [Aerobic Colony Counts (ACC) and presence of Staphylococcus aureus] using dipslides, and physical cleaning action using gel dots. These were analysed with descriptive statistics and logistic regression models. We used qualitative (focus group discussions, in-depth interviews, and semi-structured observation) and quantitative (observation checklist) tools to measure why and how the intervention worked. We describe these findings across the themes of adaptation, fidelity, dose, reach and context. Results Microbiological cleanliness improved during the study period (ACC pre-training: 19%; post-training: 41%). The odds of cleanliness increased on average by 1.33 weekly during the pre-training period (CI = 1.11–1.60), and by 1.08 (CI = 1.03–1.13) during the post-training period. Cleaning action improved only in the pre-training period. Detection of S. aureus on hospital surfaces did not change substantially. The intervention was well received and considered feasible in this context. The major pitfalls in the implementation were the limited number of training sessions at the hospital level and the lack of supportive supervision. A systems barrier to implementation was lack of regular cleaning supplies. Conclusions The evaluation suggests that improvements in microbiological cleanliness are possible using this intervention and can be sustained. Improved microbiological cleanliness is a key step on the pathway to infection prevention in hospitals. Future research should assess whether this bundle is cost-effective in reducing bacterial and viral transmission and infection using a rigorous study design.

scholarly journals COVID-19 in children treated with immunosuppressive medication for kidney diseases

2020 ◽  
pp. archdischild-2020-320616
Author(s):  
Matko Marlais ◽  
Tanja Wlodkowski ◽  
Samhar Al-Akash ◽  
Petr Ananin ◽  
Varun Kumar Bandi ◽  
...  
Keyword(s):  
Kidney Disease ◽  
Immunosuppressive Therapy ◽  
Low Income ◽  
Kidney Diseases ◽  
Low Income Countries ◽  
Reference Network ◽  
Immunosuppressive Medication ◽  
Immunosuppressive Medications ◽  
Significant Difference ◽  
The Impact

BackgroundChildren are recognised as at lower risk of severe COVID-19 compared with adults, but the impact of immunosuppression is yet to be determined. This study aims to describe the clinical course of COVID-19 in children with kidney disease taking immunosuppressive medication and to assess disease severity.MethodsCross-sectional study hosted by the European Rare Kidney Disease Reference Network and supported by the European, Asian and International paediatric nephrology societies. Anonymised data were submitted online for any child (age <20 years) with COVID-19 taking immunosuppressive medication for a kidney condition. Study recruited for 16 weeks from 15 March 2020 to 05 July 2020. The primary outcome was severity of COVID-19.Results113 children were reported in this study from 30 different countries. Median age: 13 years (49% male). Main underlying reasons for immunosuppressive therapy: kidney transplant (47%), nephrotic syndrome (27%), systemic lupus erythematosus (10%). Immunosuppressive medications used include: glucocorticoids (76%), mycophenolate mofetil (MMF) (54%), tacrolimus/ciclosporine A (58%), rituximab/ofatumumab (11%). 78% required no respiratory support during COVID-19 illness, 5% required bi-level positive airway pressure or ventilation. Four children died; all deaths reported were from low-income countries with associated comorbidities. There was no significant difference in severity of COVID-19 based on gender, dialysis status, underlying kidney condition, and type or number of immunosuppressive medications.ConclusionsThis global study shows most children with a kidney disease taking immunosuppressive medication have mild disease with SARS-CoV-2 infection. We therefore suggest that children on immunosuppressive therapy should not be more strictly isolated than children who are not on immunosuppressive therapy.

Foreign capital inflows and economic growth: the experience of low-income countries in Sub Saharan Africa

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Atif Awad
Keyword(s):  
Low Income ◽  
Foreign Capital ◽  
Ordinary Least Squares ◽  
Capital Inflows ◽  
Sub Saharan Africa ◽  
Low Income Countries ◽  
Content Type ◽  
Long Run ◽  
Foreign Capital Inflows ◽  
The Impact

Purpose This paper aims to investigate the long-run impact of selected foreign capital inflows, including aid, remittances, foreign direct investment (FDI), trade and debt, on the economic growth of 21 low-income countries in the Sub Saharan Africa (SSA) region, during the period 1990–2018. Design/methodology/approach To obtain this objective and for robust analysis, a parametric approach, which was dynamic ordinary least squares, and a non-parametric technique, which was fully modified ordinary least squares, were used. Findings The results of both models confirmed that, in the long run, trade and aid affected the growth rate of the per capita income in these countries in a positive way. However, external debt seemed to have an adverse influence on such growth. Originality/value First, this is the initial study that has addressed this matter across a homogenous group of countries in the SSA region. Second, while most of the previous studies regarding capital inflows into the SSA region have focused on the impact of only one or two aspects of such foreign capital inflows on growth, the present study, instead, examined the impact of five types of foreign capital inflows (aid, remittances, FDI, trade and debt).

scholarly journals Poultry farmer response to disease outbreaks in smallholder farming systems

2020 ◽  
Author(s):  
Alexis Delabouglise ◽  
Nguyen Thi Le Thanh ◽  
Huynh Thi Ai Xuyen ◽  
Benjamin Nguyen-Van-Yen ◽  
Phung Ngoc Tuyet ◽  
...  
Keyword(s):  
Avian Influenza ◽  
Low Income ◽  
Low Income Countries ◽  
Farm Size ◽  
Small Scale ◽  
Flock Size ◽  
Smallholder Farming ◽  
Southern Vietnam ◽  
Poultry Farms ◽  
The Impact

AbstractAvian influenza outbreaks have been occurring on smallholder poultry farms in Asia for two decades. Farmer responses to these outbreaks can slow down or accelerate virus transmission. We used a longitudinal survey of 53 small-scale chicken farms in southern Vietnam to investigate the impact of outbreaks with disease-induced mortality on harvest rate, vaccination, and disinfection behaviors. We found that in small broiler flocks (≤16 birds/flock) the estimated probability of harvest was 56% higher when an outbreak occurred, and 214% higher if an outbreak with sudden deaths occurred in the same month. Vaccination and disinfection were strongly positively correlated with flock size and farm size, respectively. Small-scale farmers – the overwhelming majority of poultry producers in low-income countries – tend to rely on rapid sale of birds to mitigate losses from diseases. As depopulated birds are sent to markets or trading networks, this reactive behavior has the potential to enhance onward transmission.One sentence summaryA cohort study of fifty three small-scale poultry farms in southern Vietnam reveals that when outbreaks occur with symptoms similar to highly pathogenic avian influenza, farmers respond by sending their chickens to market early, potentially exacerbating the effects of the outbreak.

Comparative Analysis of Mobile Pain Management Applications in Developed versus Developing Countries (Preprint)

2021 ◽  
Author(s):  
Wilson Mupfururirwa ◽  
Victoria Nembaware ◽  
Jack Morrice ◽  
Khuthala Mnika ◽  
Gaston Kuzamunu Mazandu ◽  
...  
Keyword(s):  
Pain Management ◽  
Uniform Distribution ◽  
Mobile Health ◽  
Low Income ◽  
Cochrane Review ◽  
High Income ◽  
Low Income Countries ◽  
App Store ◽  
Significant Difference ◽  
The Impact

BACKGROUND The impact of mobile phones and their applications in healthcare (mobile health) is well established for a range of diseases and cross-cutting complications, such as pain. While numerous mobile health (mHealth) pain interventions have been established, an evaluation of their prevalence, adequacy and distribution remains limited. OBJECTIVE This study aims at reviewing and comparing current pain management mHealth tools in high- versus low-income countries. METHODS A literature and application (app) store search was conducted in May 2021 using combinations of the following keywords: “pain management”, “pain”, “mobile health”, “telemedicine”, and “app”. Literature searches were conducted in PubMed, Scopus, Cochrane Review Library, and Google scholar. App store searches were conducted in Google Play and Apple App Store. Data characteristics descriptive analysis was performed using R software to summarize different datasets and compute p-values (P) for testing the significance of different hypotheses with the significance level set to 0.05. RESULTS The search identified 40 publications (literature search) and 230 mHealth applications (app store search), revealing a non uniform distribution of search categories (χ2= 133.7, P < 0.004) with a ratio approximating 1:6 (OR = 5.730, 95%CI:3.745-8.909, P < 0.004). About 86.7% of these 270 applications (apps) are from high-income countries, showing a statistically significant non uniform distribution of country categories: high- and low-income (χ2= 145.2, P < 0.004) approximating the theoretical distribution of a 7:1 ratio (OR = 6.476, 95%CI:4.180-10.222, P < 0.004). Moreover, there is no significant difference in the proportion of search categories between country categories ( χ2= 0.113, P = 0.737) and the difference in pain app prevalence in high- versus low-income countries is not statistically significant. Finally, we have observed that pain-tracking apps are significantly more prevalent in developed countries in comparison to low-income countries. CONCLUSIONS As expected, pain management app prevalence is higher in high-income countries. However, more research is required to readily comprehend the effectiveness of these apps.

INTERNATIONAL DEVELOPMENT ISSUES

PEDIATRICS ◽  
1982 ◽  
Vol 70 (3) ◽  
pp. 395-395
Author(s):  
Keyword(s):  
International Development ◽  
Low Income ◽  
Development Aid ◽  
Military Expenditure ◽  
World Health ◽  
Low Income Countries ◽  
River Blindness ◽  
Eradication Programme ◽  
Set Up ◽  
Health Organization

The annual military bill is now approaching 450 billion US dollars, while official development aid accounts for less than 5 per cent of this figure. Four examples: 1. The military expenditure of only half a day would suffice to finance the whole malaria eradication programme of the World Health Organization, and less would be needed to conquer river-blindness, which is still the scourge of millions. 2. A modern tank costs about one million dollars; that amount could improve storage facilities for 100,000 tons of rice and thus save 4000 tons or more annually; one person can live on just over a pound of rice a day. The same sum of money could provide 1000 classrooms for 30,000 children. 3. For the price of one jet fighter (20 million dollars) one could set up about 40,000 village pharmacies. 4. One-half of one per cent of one year's world military expenditure would pay for all the farm equipment needed to increase food production and approach self-sufficiency in food-deficit low-income countries by 1990.

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