MediaWiki API result

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        "main": {
            "*": "Subscribe to the mediawiki-api-announce mailing list at <https://lists.wikimedia.org/postorius/lists/mediawiki-api-announce.lists.wikimedia.org/> for notice of API deprecations and breaking changes."
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            "*": "Because \"rvslots\" was not specified, a legacy format has been used for the output. This format is deprecated, and in the future the new format will always be used."
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            "327": {
                "pageid": 327,
                "ns": 0,
                "title": "Reveal",
                "revisions": [
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                        "*": "=Reveal=\nReveal is an open-source digital global good that enables country governments and implementing partners to use geospatial data and technology to efficiently and effectively microplan and then deliver life-saving intervention campaigns. \n\n===Approach===\nReveal supports decision-makers and intervention managers by guiding and tracking the delivery of in-field activities with precision and holding field teams accountable for action. Reveal uses smart maps and technology appropriate for low-resource settings to monitor the coverage of interventions as they happen. Modeled on the mSpray and DiSARM tools, Reveal helps to optimize available resources and ensure no one is missed in the process. To date, Reveal has been used to plan and deploy routine data collection and campaigns for malaria, neglected tropical disease, as well as social behavior change data. Other use cases include vaccine planning and delivery, TB treatment, Vitamin A campaigns, and routine child health services. \nReveal users include government and implementers of health programs who are involved in the planning/microplanning and delivery of health interventions. This includes central-level Ministry of Health staff, as well as district-based managers. End users of the mobile client include field teams, community health workers or community drug distributors. \n\n===Implementations=== \n\nReveal is currently being actively used, or has been used recently in the following countries: Mali, Senegal, Nigeria, Kenya, Angola, Zambia, Namibia, Mozambique.  \n\n===Resources=== \n*Website: www.revealprecision.com \n*Source Code: https://github.com/akrosinc \n*[https://drive.google.com/file/d/1U06wsT5dVt4lsValxtWp7YxkpOWF-O2i/view?usp=sharing Product Summary]\n*[https://www.youtube.com/watch?v=JvKghi2F1ZY Product Video]\n*Articles:  \n**[https://www.nature.com/articles/s41598-020-66968-w Larsen et al (2020). Leveraging risk maps of malaria vector abundance to guide control efforts reduces malaria incidence in Eastern Province, Zambia. Nature Scientific Reports. 10: 10307 ]\n**[https://doi.org/10.1186/s12936-021-03710-5 Keating, J., Yukich, J.O., Miller, J.M. et al. Retrospective evaluation of the effectiveness of indoor residual spray with pirimiphos\u00e2\u20ac\u0090methyl (Actellic) on malaria transmission in Zambia. Malar J 20, 173 (2021)]\n**Tropical Health (Josh Yukich). Cost and cost-effectiveness of 3GIRS in sub-Saharan Africa: results of data collection and analysis in the nGenIRS project. January 2019."
                    }
                ]
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            "332": {
                "pageid": 332,
                "ns": 0,
                "title": "SORMAS",
                "revisions": [
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                        "*": "=Surveillance Outbreak Response Management and Analysis System (SORMAS)=\nThe Surveillance Outbreak Response Management and Analysis System is an open source software for early detection of infections and management of epidemic control. SORMAS is now in use in numerous countries on several continents and has been an essential part in managing large epidemics of Lassa fever, monkey pox, meningitis, measles and the COVID 19 pandemic.\n\nIn many countries, laboratories, hospitals, medical offices, airport physicians, ministries and public health departments work together via SORMAS. For more than 40 diseases, SORMAS enables digital data exchange in real time, even horizontally across national or regional borders SORMAS is one of the world's leading systems in this field.\n\n===Approach=== \nSORMAS is a process management software that allows users to document and analyze outbreaks of infectious diseases and coordinate measures to prevent their spread. It stores information for affected persons, suspected and confirmed cases and contacts and allows users to connect this data to get the \"big picture\". Based on this information staff can decide upon specific measures and create tasks for different people or teams working directly with the patients. Due to the open interfaces, it can also be connected to external systems which allows for automatic data entry and processing.\n\nThe primary users of SORMAS are health professionals from a multitude of disciplines; Federal Institutions, healthcare workers, hospitals, doctors and cand contact tracing specialists.\n\n===Implementations=== \nSORMAS is currently in use in numerous countries on several continents and is actively being used to combat the outbreak of infectious diseases. Especially during the COVID-19 pandemic multiple countries decided to implement SORMAS for their contact tracing and process management.\n\n===Resources===\n*Website: www.sormas.org \n*Documentation: https://github.com/hzi-braunschweig/SORMAS-Project\n*Articles: \n**https://publichealth.jmir.org/2021/12/e30106\n**https://wwwnc.cdc.gov/eid/article/26/2/19-1139_article\n**https://academic.oup.com/eurpub/article/30/Supplement_5/ckaa166.1347/5915340?login=false\n**https://publichealth.jmir.org/2018/4/e68/\n**https://www.researchgate.net/publication/327270609_User_Evaluation_Indicates_High_Quality_of_the_Surveillance_Outbreak_Response_Management_and_Analysis_System_SORMAS_After_Field_Deployment_in_Nigeria_in_2015_and_2018\""
                    }
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