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Meteorological variability and infectious disease in Central Africa: a review of meteorological data quality.

ABSTRACT: Central African countries may bear high climate change-related infectious disease burdens because of preexisting high rates of disease, poor healthcare infrastructure, land use changes, and high environmental change vulnerabilities. However, making connections between climate and infectious diseases in this region is hampered by the paucity of high-quality meteorological data. This review analyzes the sources and quality of meteorological data used to study the interactions between weather and infectious diseases in Central African countries. Results show that 23% of studies used meteorological data that mismatched with the disease spatial scale of interest. Use of inappropriate weather data was most frequently identified in analyses using meteorological station data or gridded data products. These findings have implications for the interpretation of existing analyses and provide guidance for the use of climate data in future analyses of the connections between meteorology and infectious diseases in Central Africa.

SUBMITTER: Heaney A

PROVIDER: S-EPMC5184398 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

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Meteorological variability and infectious disease in Central Africa: a review of meteorological data quality.

Heaney Alexandra A Little Eliza E Ng Sophia S Shaman Jeffrey J

Annals of the New York Academy of Sciences 20160531 1

Central African countries may bear high climate change-related infectious disease burdens because of preexisting high rates of disease, poor healthcare infrastructure, land use changes, and high environmental change vulnerabilities. However, making connections between climate and infectious diseases in this region is hampered by the paucity of high-quality meteorological data. This review analyzes the sources and quality of meteorological data used to study the interactions between weather and i ...[more]

PMID: 27244461

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Project description:ObjectivesEmergency care services are rapidly expanding in Africa; however, development must focus on quality. The African Federation of Emergency Medicine consensus conference (AFEM-CC)-based quality indicators were published in 2018. This study sought to increase knowledge of quality through identifying all publications from Africa containing data relevant to the AFEM-CC process clinical and outcome quality indicators.DesignWe conducted searches for general quality of emergency care in Africa and for each of 28 AFEM-CC process clinical and five outcome clinical quality indicators individually in the medical and grey literature.Data sourcesPubMed (1964-2 January 2022), Embase (1947-2 January 2022) and CINAHL (1982-3 January 2022) and various forms of grey literature were queried.Eligibility criteriaStudies published in English, addressing the African emergency care population as a whole or large subsegment of this population (eg, trauma, paediatrics), and matching AFEM-CC process quality indicator parameters exactly were included. Studies with similar, but not exact match, data were collected separately as 'AFEM-CC quality indicators near match'.Data extraction and synthesisDocument screening was done in duplicate by two authors, using Covidence, and conflicts were adjudicated by a third. Simple descriptive statistics were calculated.ResultsOne thousand three hundred and fourteen documents were reviewed, 314 in full text. 41 studies met a priori criteria and were included, yielding 59 unique quality indicator data points. Documentation and assessment quality indicators accounted for 64% of data points identified, clinical care for 25% and outcomes for 10%. An additional 53 'AFEM-CC quality indicators near match' publications were identified (38 new publications and 15 previously identified studies that contained additional 'near match' data), yielding 87 data points.ConclusionsData relevant to African emergency care facility-based quality indicators are highly limited. Future publications on emergency care in Africa should be aware of, and conform with, AFEM-CC quality indicators to strengthen understanding of quality.

Dataset Information

Meteorological variability and infectious disease in Central Africa: a review of meteorological data quality.

Publications

Meteorological variability and infectious disease in Central Africa: a review of meteorological data quality.

Similar Datasets

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