Dataset Information

Spatio - temporal modelling assessing the burden of malaria in affected low and middle-income countries: a scoping review.

ABSTRACT: Spatio - temporal modelling of malaria has proven to be a valuable tool for forecasting as well as control and elimination activities. This has been triggered by an increasing availability of spatially indexed data, enabling not only the characterisation of malaria at macrospatial and microspatial levels but also the development of geospatial techniques and tools that enable health policy planners to use these available data more effectively. However, there has been little synthesis regarding the variety of spatio - temporal approaches employed, covariates employed and 'best practice' type recommendations to guide future modelling decisions. This review will seek to summarise available evidence on the current state of spatio - temporal modelling approaches that have been employed in malaria modelling in low and middle-income countries within malaria transmission limits, so as to guide future modelling decisions.A comprehensive search for articles published from January 1968 to April 2018 will be conducted using of the following electronic databases: PubMed, Web of Science, JSTOR, Cochrane CENTRAL via Wiley, Academic Search Complete via EBSCOhost, MasterFILE Premier via EBSCOhost, CINAHL via EBSCOhost, MEDLINE via EBSCOhost and Google Scholar. Relevant grey literature sources such as unpublished reports, conference proceedings and dissertations will also be incorporated in the search. Two reviewers will independently conduct the title screening, abstract screening and, thereafter, a full-text review of all potentially eligible articles. Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols guidelines will be used as the standard reporting format. A qualitative thematic analysis will be used to group and evaluate selected studies around their aim, spatio - temporal methodology employed, covariates used and model validation techniques.Ethical approval is not applicable to this study. The results will be disseminated through a peer-reviewed journal and presented in conferences related to malaria and spatial epidemiology.CRD42017076427.

SUBMITTER: Odhiambo JN

PROVIDER: S-EPMC6129102 | biostudies-other | 2018 Sep

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Spatio - temporal modelling assessing the burden of malaria in affected low and middle-income countries: a scoping review.

Odhiambo Julius Nyerere JN Sartorius Benn B

BMJ open 20180905 9

<h4>Introduction</h4>Spatio - temporal modelling of malaria has proven to be a valuable tool for forecasting as well as control and elimination activities. This has been triggered by an increasing availability of spatially indexed data, enabling not only the characterisation of malaria at macrospatial and microspatial levels but also the development of geospatial techniques and tools that enable health policy planners to use these available data more effectively. However, there has been little s ...[more]

PMID: 30185578

Similar Datasets

Project description:BackgroundCOVID-19 has the potential to cause substantial disruptions to health services, due to cases overburdening the health system or response measures limiting usual programmatic activities. We aimed to quantify the extent to which disruptions to services for HIV, tuberculosis, and malaria in low-income and middle-income countries with high burdens of these diseases could lead to additional loss of life over the next 5 years.MethodsAssuming a basic reproduction number of 3·0, we constructed four scenarios for possible responses to the COVID-19 pandemic: no action, mitigation for 6 months, suppression for 2 months, or suppression for 1 year. We used established transmission models of HIV, tuberculosis, and malaria to estimate the additional impact on health that could be caused in selected settings, either due to COVID-19 interventions limiting activities, or due to the high demand on the health system due to the COVID-19 pandemic.FindingsIn high-burden settings, deaths due to HIV, tuberculosis, and malaria over 5 years could increase by up to 10%, 20%, and 36%, respectively, compared with if there was no COVID-19 pandemic. The greatest impact on HIV was estimated to be from interruption to antiretroviral therapy, which could occur during a period of high health system demand. For tuberculosis, the greatest impact would be from reductions in timely diagnosis and treatment of new cases, which could result from any prolonged period of COVID-19 suppression interventions. The greatest impact on malaria burden could be as a result of interruption of planned net campaigns. These disruptions could lead to a loss of life-years over 5 years that is of the same order of magnitude as the direct impact from COVID-19 in places with a high burden of malaria and large HIV and tuberculosis epidemics.InterpretationMaintaining the most critical prevention activities and health-care services for HIV, tuberculosis, and malaria could substantially reduce the overall impact of the COVID-19 pandemic.FundingBill & Melinda Gates Foundation, Wellcome Trust, UK Department for International Development, and Medical Research Council.

Project description:IntroductionGlobally, transgender and other gender diverse (trans) people face pervasive stigma, which contributes to health inequities across multiple health outcomes. Stigma is a fundamental cause of health inequities because it simultaneously limits access to resources, contributes to systemic vulnerability and generates chronic stress. Anti-trans stigma occurs across multiple socioecological levels, resulting in multiple possible definitions and measurements of trans stigma. Understanding how trans stigma has been measured in low-income and middle-income countries (LMICs) is critical to health promotion efforts for trans communities. Accordingly, this scoping review will identify and examine how anti-trans stigma has been measured in existing LMIC-specific research to inform best practices for measurement of anti-trans stigma that includes consideration of local context.Methods and analysisThis is the protocol for a scoping review of anti-trans stigma in LMICs. We will search (from January 2001 to December 2021) PubMed, WHO Global Medicus and EBSCO. Study selection will conform to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews Checklist. Original studies in English, Spanish, Arabic or Russian will be included. Reviewers will independently screen all citations, full-text articles and abstract data. Data analysis will involve quantitative and qualitative methods. A narrative summary of findings will be conducted.Ethics and disseminationAs a scoping review (no direct interaction with participants), this study is exempt from human subjects oversight. Understanding context-specific ways to measure anti-trans stigma is urgently needed to support trans health globally. The planned scoping review will help to address this gap. Results of the review will be disseminated in a peer-reviewed journal and likely in other media such as conferences, seminars and symposia. PROTOCOL REGISTRATION NUMBER: osf.io/qcs2v.

Project description:BackgroundBurn injuries are a leading cause of morbidity and disability, with the burden of disease being disproportionately higher in low- and middle-income countries (LMIC). Burn prevention programmes have led to significant reductions in the incidence of burns in high-income countries. However, a previous systematic review published in 2015 highlighted that implementation and evaluation of similar programmes has been limited in LMIC. The objective of this scoping review and narrative synthesis was to summarise and understand the initiatives that have been carried out to reduce burn injuries in LMIC and their effectiveness.MethodsWe aimed to identify publications that described studies of effectiveness of burn prevention interventions applied to any population within a LMIC and measured burn incidence or burns-related outcomes. Suitable publications were identified from three sources. Firstly, data was extracted from manuscripts identified in the systematic review published by Rybarczyk et al. We then performed a search for manuscripts on burn prevention interventions published between January 2015 and September 2020. Finally, we extracted data from two systematic reviews where burn evidence was not the primary outcome, which were identified by senior authors. A quality assessment and narrative synthesis of included manuscripts were performed.ResultsIn total, 24 manuscripts were identified and categorized according to intervention type. The majority of manuscripts (n = 16) described education-based interventions. Four manuscripts focused on environmental modification interventions and four adopted a mixed-methods approach. All of the education-based initiatives demonstrated improvements in knowledge relating to burn safety or first aid, however few measured the impact of their intervention on burn incidence. Four manuscripts described population-based educational interventions and noted reductions in burn incidence. Only one of the four manuscripts describing environmental modification interventions reported burns as a primary outcome measure, noting a reduction in burn incidence. All mixed-method interventions demonstrated some positive improvements in either burn incidence or burns-related safety practices.ConclusionThere is a lack of published literature describing large-scale burn prevention programmes in LMIC that can demonstrate sustained reductions in burn incidence. Population-level, collaborative projects are necessary to drive forward burn prevention through specific environmental or legislative changes and supplementary educational programmes.

Dataset Information

Spatio - temporal modelling assessing the burden of malaria in affected low and middle-income countries: a scoping review.

Publications

Spatio - temporal modelling assessing the burden of malaria in affected low and middle-income countries: a scoping review.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets