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Spatio-temporal gap analysis of OBIS-SEAMAP project data: assessment and way forward.

ABSTRACT: The OBIS-SEAMAP project has acquired and served high-quality marine mammal, seabird, and sea turtle data to the public since its inception in 2002. As data accumulated, spatial and temporal biases resulted and a comprehensive gap analysis was needed in order to assess coverage to direct data acquisition for the OBIS-SEAMAP project and for taxa researchers should true gaps in knowledge exist. All datasets published on OBIS-SEAMAP up to February 2009 were summarized spatially and temporally. Seabirds comprised the greatest number of records, compared to the other two taxa, and most records were from shipboard surveys, compared to the other three platforms. Many of the point observations and polyline tracklines were located in northern and central Atlantic and the northeastern and central-eastern Pacific. The Southern Hemisphere generally had the lowest representation of data, with the least number of records in the southern Atlantic and western Pacific regions. Temporally, records of observations for all taxa were the lowest in fall although the number of animals sighted was lowest in the winter. Oceanographic coverage of observations varied by platform for each taxa, which showed that using two or more platforms represented habitat ranges better than using only one alone. Accessible and published datasets not already incorporated do exist within spatial and temporal gaps identified. Other related open-source data portals also contain data that fill gaps, emphasizing the importance of dedicated data exchange. Temporal and spatial gaps were mostly a result of data acquisition effort, development of regional partnerships and collaborations, and ease of field data collection. Future directions should include fostering partnerships with researchers in the Southern Hemisphere while targeting datasets containing species with limited representation. These results can facilitate prioritizing datasets needed to be represented and for planning research for true gaps in space and time.

SUBMITTER: Kot CY

PROVIDER: S-EPMC2945317 | biostudies-other | 2010

REPOSITORIES: biostudies-other

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Spatio-temporal gap analysis of OBIS-SEAMAP project data: assessment and way forward.

Kot Connie Y CY Fujioka Ei E Hazen Lucie J LJ Best Benjamin D BD Read Andrew J AJ Halpin Patrick N PN

PloS one 20100924 9

The OBIS-SEAMAP project has acquired and served high-quality marine mammal, seabird, and sea turtle data to the public since its inception in 2002. As data accumulated, spatial and temporal biases resulted and a comprehensive gap analysis was needed in order to assess coverage to direct data acquisition for the OBIS-SEAMAP project and for taxa researchers should true gaps in knowledge exist. All datasets published on OBIS-SEAMAP up to February 2009 were summarized spatially and temporally. Seabi ...[more]

PMID: 20886047

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Project description:BackgroundThe COVID-19 pandemic shows that the impact of effective vaccines can extend well beyond vaccinated individuals and healthcare systems. Yet, these broader value elements are not typically considered in Health Technology Assessment (HTA) which may underestimate vaccines' broader value.ObjectivesThis study aimed to (1) describe the gap between broader value elements identified in value frameworks for vaccines and those recognised in HTA of vaccines in nine developed markets, and (2) develop expert-informed, consensus-based recommendations on how hurdles for broader value recognition could be overcome.MethodsWe used a four-step modified Delphi method consisting of literature research (phase I, pearl-growing approach using PubMed Web of Science and Google covering the years 2000-2019), two consecutive phases of expert elicitation (phase II and III, including two email surveys and one virtual round table with 10 experts from 9 countries) and synthesis of recommendations (phase IV).ResultsResults show that about half of the broader value elements relevant to vaccines are not (consistently) considered in HTA processes of multiple higher-income countries. Experts identified five priority areas for broader value recognition, including considering (1) more comprehensive cost offsets within the health care system, (2) carer quality of life, (3) transmission value, (4) prevention of antimicrobial resistance and (5) macroeconomic effects.ConclusionTo achieve a broader recognition of the value of vaccines, a three-pronged approach was recommended, focusing on (1) Evidence: proactively steering generation of high-quality evidence to quantify the broader value of vaccines to society; (2) Ability: leveraging and further developing existing methodological and analytic expertise to appropriately recognise the broad value of vaccines within HTA processes; (3) Willingness: Stimulating stakeholder engagement to change the status quo and move towards more transparent and comprehensive value assessment processes for vaccines globally.

Project description:BACKGROUND:Malaria incidence is largely influenced by vector abundance. Among the many interconnected factors relating to malaria transmission, weather conditions such as rainfall and temperature are known to create suitable environmental conditions that sustain reproduction and propagation of anopheles mosquitoes and malaria parasites. In Ghana, climatic conditions vary across the country. Understanding the heterogeneity of malaria morbidity using data sourced from a recently setup data repository for routine health facility data could support planning. METHODS:Monthly aggregated confirmed uncomplicated malaria cases from the District Health Information Management System and average monthly rainfall and temperature records obtained from the Ghana Meteorological Agency from 2008 to 2016 were analysed. Univariate time series models were fitted to the malaria, rainfall and temperature data series. After pre-whitening the morbidity data, cross correlation analyses were performed. Subsequently, transfer function models were developed for the relationship between malaria morbidity and rainfall and temperature. RESULTS:Malaria morbidity patterns vary across zones. In the Guinea savannah, morbidity peaks once in the year and twice in both the Transitional forest and Coastal savannah, following similar patterns of rainfall at the zonal level. While the effects of rainfall on malaria morbidity are delayed by a month in the Guinea savannah and Transitional Forest zones those of temperature are delayed by two months in the Transitional forest zone. In the Coastal savannah however, incidence of malaria is significantly associated with two months lead in rainfall and temperature. CONCLUSION:Data captured on the District Health Information Management System has been used to demonstrate heterogeneity in the dynamics of malaria morbidity across the country. Timing of these variations could guide the deployment of interventions such as indoor residual spraying, Seasonal Malaria Chemoprevention or vaccines to optimise effectiveness on zonal basis.

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Spatio-temporal gap analysis of OBIS-SEAMAP project data: assessment and way forward.

Publications

Spatio-temporal gap analysis of OBIS-SEAMAP project data: assessment and way forward.

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