Coronavirus disease 2019 (COVID-19): an evidence map of medical literature

Abstract Background Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prior...
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Autor*in:	Nan Liu [verfasserIn] Marcel Lucas Chee [verfasserIn] Chenglin Niu [verfasserIn] Pin Pin Pek [verfasserIn] Fahad Javaid Siddiqui [verfasserIn] John Pastor Ansah [verfasserIn] David Bruce Matchar [verfasserIn] Sean Shao Wei Lam [verfasserIn] Hairil Rizal Abdullah [verfasserIn] Angelique Chan [verfasserIn] Rahul Malhotra [verfasserIn] Nicholas Graves [verfasserIn] Mariko Siyue Koh [verfasserIn] Sungwon Yoon [verfasserIn] Andrew Fu Wah Ho [verfasserIn] Daniel Shu Wei Ting [verfasserIn] Jenny Guek Hong Low [verfasserIn] Marcus Eng Hock Ong [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	COVID-19 SARS-CoV-2 Coronavirus Evidence gap map Review

Übergeordnetes Werk:	In: BMC Medical Research Methodology - BMC, 2003, 20(2020), 1, Seite 11
Übergeordnetes Werk:	volume:20 ; year:2020 ; number:1 ; pages:11

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s12874-020-01059-y

Katalog-ID:	DOAJ053702182

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520			\|a Abstract Background Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. Methods In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. Results The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). Conclusions Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises.
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700	0		\|a Fahad Javaid Siddiqui \|e verfasserin \|4 aut
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700	0		\|a Jenny Guek Hong Low \|e verfasserin \|4 aut
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allfields	10.1186/s12874-020-01059-y doi (DE-627)DOAJ053702182 (DE-599)DOAJ78809e7d414e487a8c2a00933798d80a DE-627 ger DE-627 rakwb eng R5-920 Nan Liu verfasserin aut Coronavirus disease 2019 (COVID-19): an evidence map of medical literature 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. Methods In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. Results The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). Conclusions Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises. COVID-19 SARS-CoV-2 Coronavirus Evidence gap map Review Medicine (General) Marcel Lucas Chee verfasserin aut Chenglin Niu verfasserin aut Pin Pin Pek verfasserin aut Fahad Javaid Siddiqui verfasserin aut John Pastor Ansah verfasserin aut David Bruce Matchar verfasserin aut Sean Shao Wei Lam verfasserin aut Hairil Rizal Abdullah verfasserin aut Angelique Chan verfasserin aut Rahul Malhotra verfasserin aut Nicholas Graves verfasserin aut Mariko Siyue Koh verfasserin aut Sungwon Yoon verfasserin aut Andrew Fu Wah Ho verfasserin aut Daniel Shu Wei Ting verfasserin aut Jenny Guek Hong Low verfasserin aut Marcus Eng Hock Ong verfasserin aut In BMC Medical Research Methodology BMC, 2003 20(2020), 1, Seite 11 (DE-627)326643818 (DE-600)2041362-2 14712288 nnns volume:20 year:2020 number:1 pages:11 https://doi.org/10.1186/s12874-020-01059-y kostenfrei https://doaj.org/article/78809e7d414e487a8c2a00933798d80a kostenfrei http://link.springer.com/article/10.1186/s12874-020-01059-y kostenfrei https://doaj.org/toc/1471-2288 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 11
spelling	10.1186/s12874-020-01059-y doi (DE-627)DOAJ053702182 (DE-599)DOAJ78809e7d414e487a8c2a00933798d80a DE-627 ger DE-627 rakwb eng R5-920 Nan Liu verfasserin aut Coronavirus disease 2019 (COVID-19): an evidence map of medical literature 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. Methods In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. Results The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). Conclusions Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises. COVID-19 SARS-CoV-2 Coronavirus Evidence gap map Review Medicine (General) Marcel Lucas Chee verfasserin aut Chenglin Niu verfasserin aut Pin Pin Pek verfasserin aut Fahad Javaid Siddiqui verfasserin aut John Pastor Ansah verfasserin aut David Bruce Matchar verfasserin aut Sean Shao Wei Lam verfasserin aut Hairil Rizal Abdullah verfasserin aut Angelique Chan verfasserin aut Rahul Malhotra verfasserin aut Nicholas Graves verfasserin aut Mariko Siyue Koh verfasserin aut Sungwon Yoon verfasserin aut Andrew Fu Wah Ho verfasserin aut Daniel Shu Wei Ting verfasserin aut Jenny Guek Hong Low verfasserin aut Marcus Eng Hock Ong verfasserin aut In BMC Medical Research Methodology BMC, 2003 20(2020), 1, Seite 11 (DE-627)326643818 (DE-600)2041362-2 14712288 nnns volume:20 year:2020 number:1 pages:11 https://doi.org/10.1186/s12874-020-01059-y kostenfrei https://doaj.org/article/78809e7d414e487a8c2a00933798d80a kostenfrei http://link.springer.com/article/10.1186/s12874-020-01059-y kostenfrei https://doaj.org/toc/1471-2288 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 11
allfields_unstemmed	10.1186/s12874-020-01059-y doi (DE-627)DOAJ053702182 (DE-599)DOAJ78809e7d414e487a8c2a00933798d80a DE-627 ger DE-627 rakwb eng R5-920 Nan Liu verfasserin aut Coronavirus disease 2019 (COVID-19): an evidence map of medical literature 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. Methods In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. Results The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). Conclusions Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises. COVID-19 SARS-CoV-2 Coronavirus Evidence gap map Review Medicine (General) Marcel Lucas Chee verfasserin aut Chenglin Niu verfasserin aut Pin Pin Pek verfasserin aut Fahad Javaid Siddiqui verfasserin aut John Pastor Ansah verfasserin aut David Bruce Matchar verfasserin aut Sean Shao Wei Lam verfasserin aut Hairil Rizal Abdullah verfasserin aut Angelique Chan verfasserin aut Rahul Malhotra verfasserin aut Nicholas Graves verfasserin aut Mariko Siyue Koh verfasserin aut Sungwon Yoon verfasserin aut Andrew Fu Wah Ho verfasserin aut Daniel Shu Wei Ting verfasserin aut Jenny Guek Hong Low verfasserin aut Marcus Eng Hock Ong verfasserin aut In BMC Medical Research Methodology BMC, 2003 20(2020), 1, Seite 11 (DE-627)326643818 (DE-600)2041362-2 14712288 nnns volume:20 year:2020 number:1 pages:11 https://doi.org/10.1186/s12874-020-01059-y kostenfrei https://doaj.org/article/78809e7d414e487a8c2a00933798d80a kostenfrei http://link.springer.com/article/10.1186/s12874-020-01059-y kostenfrei https://doaj.org/toc/1471-2288 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 11
allfieldsGer	10.1186/s12874-020-01059-y doi (DE-627)DOAJ053702182 (DE-599)DOAJ78809e7d414e487a8c2a00933798d80a DE-627 ger DE-627 rakwb eng R5-920 Nan Liu verfasserin aut Coronavirus disease 2019 (COVID-19): an evidence map of medical literature 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. Methods In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. Results The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). Conclusions Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises. COVID-19 SARS-CoV-2 Coronavirus Evidence gap map Review Medicine (General) Marcel Lucas Chee verfasserin aut Chenglin Niu verfasserin aut Pin Pin Pek verfasserin aut Fahad Javaid Siddiqui verfasserin aut John Pastor Ansah verfasserin aut David Bruce Matchar verfasserin aut Sean Shao Wei Lam verfasserin aut Hairil Rizal Abdullah verfasserin aut Angelique Chan verfasserin aut Rahul Malhotra verfasserin aut Nicholas Graves verfasserin aut Mariko Siyue Koh verfasserin aut Sungwon Yoon verfasserin aut Andrew Fu Wah Ho verfasserin aut Daniel Shu Wei Ting verfasserin aut Jenny Guek Hong Low verfasserin aut Marcus Eng Hock Ong verfasserin aut In BMC Medical Research Methodology BMC, 2003 20(2020), 1, Seite 11 (DE-627)326643818 (DE-600)2041362-2 14712288 nnns volume:20 year:2020 number:1 pages:11 https://doi.org/10.1186/s12874-020-01059-y kostenfrei https://doaj.org/article/78809e7d414e487a8c2a00933798d80a kostenfrei http://link.springer.com/article/10.1186/s12874-020-01059-y kostenfrei https://doaj.org/toc/1471-2288 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 11
allfieldsSound	10.1186/s12874-020-01059-y doi (DE-627)DOAJ053702182 (DE-599)DOAJ78809e7d414e487a8c2a00933798d80a DE-627 ger DE-627 rakwb eng R5-920 Nan Liu verfasserin aut Coronavirus disease 2019 (COVID-19): an evidence map of medical literature 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. Methods In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. Results The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). Conclusions Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises. COVID-19 SARS-CoV-2 Coronavirus Evidence gap map Review Medicine (General) Marcel Lucas Chee verfasserin aut Chenglin Niu verfasserin aut Pin Pin Pek verfasserin aut Fahad Javaid Siddiqui verfasserin aut John Pastor Ansah verfasserin aut David Bruce Matchar verfasserin aut Sean Shao Wei Lam verfasserin aut Hairil Rizal Abdullah verfasserin aut Angelique Chan verfasserin aut Rahul Malhotra verfasserin aut Nicholas Graves verfasserin aut Mariko Siyue Koh verfasserin aut Sungwon Yoon verfasserin aut Andrew Fu Wah Ho verfasserin aut Daniel Shu Wei Ting verfasserin aut Jenny Guek Hong Low verfasserin aut Marcus Eng Hock Ong verfasserin aut In BMC Medical Research Methodology BMC, 2003 20(2020), 1, Seite 11 (DE-627)326643818 (DE-600)2041362-2 14712288 nnns volume:20 year:2020 number:1 pages:11 https://doi.org/10.1186/s12874-020-01059-y kostenfrei https://doaj.org/article/78809e7d414e487a8c2a00933798d80a kostenfrei http://link.springer.com/article/10.1186/s12874-020-01059-y kostenfrei https://doaj.org/toc/1471-2288 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 11
language	English
source	In BMC Medical Research Methodology 20(2020), 1, Seite 11 volume:20 year:2020 number:1 pages:11
sourceStr	In BMC Medical Research Methodology 20(2020), 1, Seite 11 volume:20 year:2020 number:1 pages:11
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	COVID-19 SARS-CoV-2 Coronavirus Evidence gap map Review Medicine (General)
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container_title	BMC Medical Research Methodology
authorswithroles_txt_mv	Nan Liu @@aut@@ Marcel Lucas Chee @@aut@@ Chenglin Niu @@aut@@ Pin Pin Pek @@aut@@ Fahad Javaid Siddiqui @@aut@@ John Pastor Ansah @@aut@@ David Bruce Matchar @@aut@@ Sean Shao Wei Lam @@aut@@ Hairil Rizal Abdullah @@aut@@ Angelique Chan @@aut@@ Rahul Malhotra @@aut@@ Nicholas Graves @@aut@@ Mariko Siyue Koh @@aut@@ Sungwon Yoon @@aut@@ Andrew Fu Wah Ho @@aut@@ Daniel Shu Wei Ting @@aut@@ Jenny Guek Hong Low @@aut@@ Marcus Eng Hock Ong @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	326643818
id	DOAJ053702182
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ053702182</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230501171537.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2020 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s12874-020-01059-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ053702182</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ78809e7d414e487a8c2a00933798d80a</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">R5-920</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Nan Liu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Coronavirus disease 2019 (COVID-19): an evidence map of medical literature</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Background Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. Methods In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. Results The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). Conclusions Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COVID-19</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">SARS-CoV-2</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coronavirus</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Evidence gap map</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Review</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medicine (General)</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marcel Lucas Chee</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chenglin 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title_sort	coronavirus disease 2019 (covid-19): an evidence map of medical literature
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title_auth	Coronavirus disease 2019 (COVID-19): an evidence map of medical literature
abstract	Abstract Background Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. Methods In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. Results The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). Conclusions Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises.
abstractGer	Abstract Background Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. Methods In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. Results The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). Conclusions Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises.
abstract_unstemmed	Abstract Background Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises. Methods In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps. Results The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). Conclusions Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises.
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title_short	Coronavirus disease 2019 (COVID-19): an evidence map of medical literature
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Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4–16). Conclusions Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. 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Coronavirus disease 2019 (COVID-19): an evidence map of medical literature

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