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  1. Global health systems strengthening: FIGO's strategic view on reducing maternal and newborn mortality worldwide
    Miranda J, Miller S, Alfieri N, Lalonde A, Ivan-Ortiz E, Hanson C, et al.
    Int J Gynaecol Obstet, 2024 Jun;165(3):849-859.
    PMID: 38651311 DOI: 10.1002/ijgo.15553
    OBJECTIVE: To demonstrate that successful health systems strengthening (HSS) projects have addressed disparities and inequities in maternal and perinatal care in low-income countries.

    METHODS: A comprehensive literature review covered the period between 1980 and 2022, focusing on successful HSS interventions within health systems' seven core components that improved maternal and perinatal care.

    RESULTS: The findings highlight the importance of integrating quality interventions into robust health systems, as this has been shown to reduce maternal and newborn mortality. However, several challenges, including service delivery gaps, poor data use, and funding deficits, continue to hinder the delivery of quality care. To improve maternal and newborn health outcomes, a comprehensive HSS strategy is essential, which should include infrastructure enhancement, workforce skill development, access to essential medicines, and active community engagement.

    CONCLUSION: Effective health systems, leadership, and community engagement are crucial for a comprehensive HSS approach to catalyze progress toward universal health coverage and global improvements in maternal and newborn health.

  2. Fulltext The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
    Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah YW, et al.
    Sci Data, 2020 07 09;7(1):225.
    PMID: 32647314 DOI: 10.1038/s41597-020-0534-3
    The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
  3. Fulltext Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
    Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah YW, et al.
    Sci Data, 2021 Feb 25;8(1):72.
    PMID: 33633116 DOI: 10.1038/s41597-021-00851-9
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