Open Journal of Epidemiology, 2018, 8, 226-241
Abstract
Introduction: Road traffic accidents (RTAs) are a major public health issue
in developing countries, where roads tend to be built haphazardly and accidents
take a heavy toll on victims—including leaving them disabled. This
study seeks ...to identify those factors that cause RTA victims to become disabled
as a result of their injuries. Methods: This retrospective community-
based study looked at RTA victims treated in five public and faith-based
hospitals in Benin. Disability was evaluated using the Washington Group on
Disabilities Statistics questionnaire. The independent variables were related to
the victim’s socio-demographic traits, the circumstances of the accident, and
post-crash response mechanisms. The proportions were compared using the
chi-squared test, with a threshold of 5%. Results: The prevalence of disability
among road traffic accident victims is 9.59% (CI 95%: 6.86% - 13.20%). The
occurrence of disability is associated with age (p = 0.002), occupational group
(p = 0.0077), the mode of transport used to transfer the victim (p < 0.001)
and the location of the injuries (p = 0.0035). The study also found that people
fail to make sufficient use of post-crash response mechanisms. Conclusion:
Public policy-makers should therefore focus on stepping up interventions to
get more people using both protective equipment and post-crash response services.
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DHS Working Papers No. 69
This paper uses data from the three Indian National Family Health Surveys (1992-93, 1998-99, 2005-06) to examine how the relationship between household wealth and child mortality evolved during a time of significant economic change in India. The main predictor is a new... measure of household wealth that captures changes in wealth over time. Outcomes include neonatal mortality, postneonatal mortality, child mortality, and under-five mortality. Multivariate analysis is conducted at the national, urban, rural, and regional levels.
Results indicate that the overall relationship between household wealth and mortality weakened over time, as evidenced by the coefficients for under-five mortality at the national level.
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The Global Burden of Disease (GBD) study, a collaborative endeavour of the World
Health Organization (WHO), the World Bank and the Harvard School of Public Health,
drew the attention of the international health community to the burden of neurological
disorders and many other chronic conditions. T...his study found that the burden of neurological
disorders was seriously underestimated by traditional epidemiological and health
statistical methods that take into account only mortality rates but not disability rates. The
GBD study showed that over the years the global health impact of neurological disorders
had been underestimated.
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The substantial burden of death and disability that results from interpersonal violence, road traffic injuries, unintentional injuries, occupational health risks, air pollution, climate change, and inadequate water and sanitation falls disproportionally on low- and middle-income countries. Injury Pr...evention and Environmental Health addresses the risk factors and presents updated data on the burden, as well as economic analyses of platforms and packages for delivering cost-effective and feasible interventions in these settings. The volume's contributors demonstrate that implementation of a range of prevention strategies-presented in an essential package of interventions and policies-could achieve a convergence in death and disability rates that would avert more than 7.5 million deaths a year
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This is a report from a National, representative household survey carried out in Botswana in 2012 – 2014. The study was carried out on behalf of the Norwegian Federation of Organisations of Disabled Persons (FFO), Southern Africa Federation of the Disabled (SASFOD) and Botswana Federation of Disab...led People (BOFOD). The study was led by Professor Tlamelo Mmatli of the University of Botswana, in collaboration with SINTEF Technology and Society. The study would not have been possible without a strong commitment from the Office of the President of Botswana and support from the Central Statistical Office. The study presents a broad picture of the situation among individuals with disability and households with disabled members in Botswana. It offers comparison with individuals without disability and households without disabled members, between provinces and between genders and locations (urban/rural). The study reveals that households with disabled members and individuals with disability score lower on a range on indicators on level of living.
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Ade et al. BMC Health Services Research (2016) 16:5
Background: In the “Centre National Hospitalier de Pneumo-Phtisiologie” of Cotonou, Benin, little is known about
the characteristics of patients who have not attended their scheduled appointment, the results of tracing and the
possible b...enefits on improving treatment outcomes. This study aimed to determine the contribution of tracing
activities for those who missed scheduled appointments towards a successful treatment outcome.
Methods: A retrospective cohort study was carried out among all smear-positive pulmonary tuberculosis patients
treated between January and September 2013. Data on demographic and diagnostic characteristics and treatment
outcomes were accessed from tuberculosis registers and treatment cards. Information on those who missed their
scheduled appointments was collected from the tracing tuberculosis register. A univariate analysis was performed
to explore factors associated with missing a scheduled appointment
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This baseline survey and report examine the Durable Peace Programme (DPP) in Myanmar, which delivers a broad range of activities. The report provides an insight into the current situation facing both internally displaced persons (IDPs) and conflict-affected non-IDP communities in Kachin state, Myanm...ar. It is based on a comprehensive and systematic research process involving just over 2,200 interviews conducted in 12 townships across Kachin. The research provides data and analysis on the socioeconomic situation, attitudes towards peace and conflict, gender dynamics, return and resettlement, among others. The Durable Peace Programme Consortium has decided to share the results of this baseline, as it provides insights into the Kachin context for interested stakeholders, and also to encourage cooperation and information sharing. The report adopts a highly visual approach to communicate the large amount of data collected.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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In 2014, the Ministry of Health (MOH) in Malawi conducted a nationwide assessment of emergency obstetric and newborn care (EmONC) services. This cross-sectional facility-based survey used 10 data collection modules. Data collection began on 23rd September 2014 and concluded on 17th October 2014, in ...all 28 districts. Facilities in both the public and private sector (for-profit and not-for-profit) were included. Since the focus of the assessment was obstetric and newborn care, health facilities that did not offer maternal and newborn health (MNH) services were not selected. In all districts, a census of all hospitals and a 60 percent random sample of health centres that ought to have performed deliveries in the previous year yielded a total of 365 facilities: 87 hospitals and 278 health centres. All these facilities were visited during the assessment. During analysis, weighting procedures were applied to extrapolate results to the district and national level, representing all 87 hospitals and 464 health centres. Such weighting was necessary as a stratified random sample of health centres was taken and weighting applied to all indicators and presentations that have health facility as a unit of measurement. Case reviews and provider’s interviews, on the other hand, are not weighted as their sampling strategy is based on convenience.
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A public health emergency operations centre (EOC) is a central location for coordinating operational information and resources for strategic management of pugencies and events. EOCs provide communication and information tools and services blic health emer-
and a management system during a response ...to an emergency or event. This report lays out components and characteristics of an emergency operations plan, providing a suggested structure for plans and procedures. The planning process, and that of coducting a hazard analysis or needs assessment, are also discussed as key steps
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The primary objective of the 2015-16 MDHS project is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the MDHS collected information on fertility levels, marriage, fertility preferences, awareness and use of family planning methods, breastfeeding practices, n...utrition, maternal and child health and mortality, awareness and behavior regarding HIV/AIDS and other sexually transmitted infections (STIs), and other health-related issues such as smoking and knowledge of tuberculosis. As the 2015-16 MDHS is the first DHS survey in the country, trend analysis is not carried out in this report.
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The purpose of this guidance is to assist WHO Member States, and other stakeholders, in the establishment and development of programmes of integrated surveillance of antimicrobial resistance in foodborne bacteria (i.e., bacteria commonly transmitted by food). In this guidance, “integrated surveill...ance of antimicrobial resistance in foodborne bacteria” is defined as the collection, validation, analyses and reporting of relevant microbiological and epidemiological data on antimicrobial resistance in foodborne bacteria from humans, animals, and food, and on relevant antimicrobial use in humans and animals. Integrated surveillance of antimicrobial resistance in foodborne bacteria therefore includes data from relevant food chain sectors (animals, food and humans) and includes data on both antimicrobial resistance and antimicrobial use. Integrated surveillance of antimicrobial resistance for foodborne bacteria expands on traditional public health surveillance to include multiple elements of the food chain, and to include antimicrobial use data, to better understand the sources of infection and transmission routes.
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INTRODUCTION: Health service use among the public can decline during outbreaks and had been predicted among low and middle-income countries during the COVID-19 pandemic. In March 2020, the government of the Democratic Republic of the Congo (DRC) started implementing public health measures across Kin...shasa, including strict lock-down measures in the Gombe health zone.
METHODS: Using monthly time series data from the DRC Health Management Information System (January 2018 to December 2020) and interrupted time series with mixed effects segmented Poisson regression models, we evaluated the impact of the pandemic on the use of essential health services (outpatient visits, maternal health, vaccinations, visits for common infectious diseases and non-communicable diseases) during the first wave of the pandemic in Kinshasa. Analyses were stratified by age, sex, health facility and lockdown policy (i.e, Gombe vs other health zones).
RESULTS: Health service use dropped rapidly following the start of the pandemic and ranged from 16% for visits for hypertension to 39% for visits for diabetes. However, reductions were highly concentrated in Gombe (81% decline in outpatient visits) relative to other health zones. When the lock-down was lifted, total visits and visits for infectious diseases and non-communicable diseases increased approximately twofold. Hospitals were more affected than health centres. Overall, the use of maternal health services and vaccinations was not significantly affected.
CONCLUSION: The COVID-19 pandemic resulted in important reductions in health service utilizsation in Kinshasa, particularly Gombe. Lifting of lock-down led to a rebound in the level of health service use but it remained lower than pre-pandemic levels.
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Environmental Research Letters
Microplastic debris floating at the ocean surface can harm marine life. Understanding the severity of this harm requires knowledge of plastic abundance and distributions. Dozens of expeditions measuring microplastics have been carried out since the 1970s, but they ha...ve primarily focused on the North Atlantic and North Pacific accumulation zones, with much sparser coverage elsewhere. Here, we use the largest dataset of microplastic measurements assembled to date to assess the confidence we can have in global estimates of microplastic abundance and mass. We use a rigorous statistical framework to standardize a global dataset of plastic marine debris measured using surface-trawling plankton nets and coupled this with three different ocean circulation models to spatially interpolate the observations. Our estimates show that the accumulated number of microplastic particles in 2014 ranges from 15 to 51 trillion particles, weighing between 93 and 236 thousand metric tons, which is only approximately 1% of global plastic waste estimated to enter the ocean in the year 2010. These estimates are larger than previous global estimates, but vary widely because the scarcity of data in most of the world ocean, differences in model formulations, and fundamental knowledge gaps in the sources, transformations and fates of microplastics in the ocean.
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PNAS | March 4, 2014 | vol. 111 | no. 9
Malaria is an important disease that has a global distribution and significant health burden. The spatial limits of its distribution and seasonal activity are sensitive to climate factors, as well as the local capacity to control the disease. Malaria is also ...one of the few health outcomes that has been modeled by more than one research group and can therefore facilitate the first model intercomparison for health impacts under a future with climate change. We used bias-corrected temperature and rainfall simulations from the Coupled Model Intercomparison Project Phase 5 climate models to compare the metrics of five statistical and dynamical malaria impact models for three future time periods (2030s, 2050s, and 2080s). We evaluated three malaria outcome metrics at global and regional levels: climate suitability, additional population at risk and additional person-months at risk across the model outputs. The malaria projections were based on five different global climate models, each run under four emission scenarios (Representative Concentration Pathways, RCPs) and a single population projection. We also investigated the modeling uncertainty associated with future projections of populations at risk for malaria owing to climate change. Our findings show an overall global net increase in climate suitability and a net increase in the population at risk, but with large uncertainties. The model outputs indicate a net increase in the annual person-months at risk when comparing from RCP2.6 to RCP8.5 from the 2050s to the 2080s. The malaria outcome metrics were highly sensitive to the choice of malaria impact model, especially over the epidemic fringes of the malaria distribution.
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his publication provides an overview of social inequalities in several indicators related to the health of women, children, and adolescents in a region deemed as one with high levels of inequality: Latin America and the Caribbean (LAC). In order for it to serve as a baseline for the 2030 Agenda, emp...hasis is placed on examining these inequalities around the year 2014. The analysis suggests that reducing within-country disparities is a priority, as widespread social inequalities in health are identified among LAC countries.
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The 2021 Report examines country health spending patterns and trends over the past 20 years, before the COVID-19 pandemic, with greater focus on public spending on health. The report also presents spending on primary health care, preliminary health expenditure in 2020 for a small set of countries (i...ncluding their health spending on COVID-19) and an analysis of high-income countries spending patterns, in particular during the global financial crisis. The report also points out the need for more public investment in health to get progress towards UHC back on track and strong health security.
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Unfortunately, current data available on SDG financing are not sufficient to quantify the distribution of financing for the SDGs.
AidData’s methodology for measuring financing to the SDGs attempts to fill this gap by analyzing development project documentation to estimate project-level contributi...ons to the SDGs (and their associated targets). This methodology lets us see where development financing is targeted, allowing comparisons among SDG goals and individual SDG targets.
This methodology note describes two iterations of AidData’s methodology. The first, based on a crosswalk with existing aid reporting schemes, was employed for AidData’s 2017 flagship report Realizing Agenda 2030: Will donor dollars and country priorities align with global goals? and our brief Financing the SDGs in Colombia. The second iteration of the methodology employs a direct coding scheme, linking development projects directly to the SDGs through analysis and coding of project descriptions rather than through an intermediary classification system. This method was employed for our 2019 brief Financing the SDGs: Evidence in Four Countries.
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This guide presents a basis for understanding how diarrhoeal diseases are currently influenced by climate and weather, and may be further exacerbated by climate change. It is a technical guide on how to conduct a Vulnerability & Adaptation assessment for diarrhoeal diseases and climate change, and p...rovides guidance on how to:
identify populations and regions vulnerable to diarrhoeal diseases and the reasons for their vulnerability;
establish relevant baselines that can be analysed and monitored;
conduct analyses to project how diarrhoeal diseases may be impacted in the future due to climate change; and
identify appropriate responses to mitigate and monitor these risks over time.
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Unmet mental health needs in the Region of the Americas are a leading source of morbidity and mortality, which result in tremendous health, social, and economic consequences. The COVID-19 pandemic has exacerbated the mental health crisis in the Region, necessitating urgent action at the highest leve...ls of government and across sectors to build back better mental health now and for the future. This landmark report is the result of the PAHO High-Level Commission on Mental Health and COVID-19. It provides an analysis of the mental health situation in the Region, followed by a series of recommendations and corresponding actions to support countries in the Americas to prioritize and advance mental health using human rights- and equity-based approaches.
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