Marginal Shortening of Life Expectancy in Japan During COVID-19: A Low Pandemic Impact Country Due to Improved Health Infrastructure and Awareness Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.24018/ejmed.2024.6.6.2214
The novel coronavirus (SARS-CoV-2) caused the COVID-19 pandemic, which led to a large number of deaths worldwide, particularly in rich and developed countries, thereby decreasing the average life expectancy (ALE) or average lifespan (ALS) of the people living in these countries. We investigated the pandemic’s effect on the ALE of the Japanese male and female population. Japan’s declining ALE year-over-year was compared with high-ranking LE countries. For both genders, Japan’s ALE increased every year until 2020, even though 2020 was a pandemic year. A small decrease due to the pandemic could not reduce Japan’s overall LE in 2020. In 2021 and 2022, Japan’s overall LE decreased, but once the pandemic ended in 2023, it returned to its pre pandemic trend of increasing. When considering both genders among the high LE and rich and democratic countries such as Hong Kong, Switzerland, Singapore, Sweden, Norway, Italy, South Korea, and Spain, Japan’s ALE was least affected. Due to its improved health infrastructure (% GDP spending on healthcare) and public awareness about the pandemic (mask usage), Japan remained the least affected country during the COVID-19 pandemic. This paper compares the ALE change, % GDP spending on healthcare, and mask usage awareness of the above countries with Japan.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.24018/ejmed.2024.6.6.2214
- OA Status
- diamond
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404379663
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4404379663Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.24018/ejmed.2024.6.6.2214Digital Object Identifier
- Title
-
Marginal Shortening of Life Expectancy in Japan During COVID-19: A Low Pandemic Impact Country Due to Improved Health Infrastructure and AwarenessWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-11-09Full publication date if available
- Authors
-
Zameer Shervani, Aamir Akbar Khan, Intazam Khan, Abdullah Sherwani, Parangimalai Diwakar Madan Kumar, Mohammad Akheel, Umair Yaqub Qazi, Venkata Phani Sai Reddy Vuyyuru, Adil Ahmed Khan, Aisha MahmoodList of authors in order
- Landing page
-
https://doi.org/10.24018/ejmed.2024.6.6.2214Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.24018/ejmed.2024.6.6.2214Direct OA link when available
- Concepts
-
Pandemic, Coronavirus disease 2019 (COVID-19), Life expectancy, 2019-20 coronavirus outbreak, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Expectancy theory, Economic growth, Development economics, Business, Geography, Environmental health, Medicine, Economics, Virology, Outbreak, Population, Disease, Pathology, Management, Infectious disease (medical specialty)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
27Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4404379663 |
|---|---|
| doi | https://doi.org/10.24018/ejmed.2024.6.6.2214 |
| ids.doi | https://doi.org/10.24018/ejmed.2024.6.6.2214 |
| ids.openalex | https://openalex.org/W4404379663 |
| fwci | 0.0 |
| type | article |
| title | Marginal Shortening of Life Expectancy in Japan During COVID-19: A Low Pandemic Impact Country Due to Improved Health Infrastructure and Awareness |
| biblio.issue | 6 |
| biblio.volume | 6 |
| biblio.last_page | 17 |
| biblio.first_page | 9 |
| topics[0].id | https://openalex.org/T11296 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9933000206947327 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2730 |
| topics[0].subfield.display_name | Oncology |
| topics[0].display_name | COVID-19 and healthcare impacts |
| topics[1].id | https://openalex.org/T12781 |
| topics[1].field.id | https://openalex.org/fields/36 |
| topics[1].field.display_name | Health Professions |
| topics[1].score | 0.9905999898910522 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3600 |
| topics[1].subfield.display_name | General Health Professions |
| topics[1].display_name | Global Health Care Issues |
| topics[2].id | https://openalex.org/T10410 |
| topics[2].field.id | https://openalex.org/fields/26 |
| topics[2].field.display_name | Mathematics |
| topics[2].score | 0.989799976348877 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2611 |
| topics[2].subfield.display_name | Modeling and Simulation |
| topics[2].display_name | COVID-19 epidemiological studies |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C89623803 |
| concepts[0].level | 5 |
| concepts[0].score | 0.8225740194320679 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q12184 |
| concepts[0].display_name | Pandemic |
| concepts[1].id | https://openalex.org/C3008058167 |
| concepts[1].level | 4 |
| concepts[1].score | 0.7964946031570435 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q84263196 |
| concepts[1].display_name | Coronavirus disease 2019 (COVID-19) |
| concepts[2].id | https://openalex.org/C133925201 |
| concepts[2].level | 3 |
| concepts[2].score | 0.7806686758995056 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q188419 |
| concepts[2].display_name | Life expectancy |
| concepts[3].id | https://openalex.org/C3006700255 |
| concepts[3].level | 3 |
| concepts[3].score | 0.5388699173927307 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q81068910 |
| concepts[3].display_name | 2019-20 coronavirus outbreak |
| concepts[4].id | https://openalex.org/C3007834351 |
| concepts[4].level | 5 |
| concepts[4].score | 0.52264404296875 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q82069695 |
| concepts[4].display_name | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) |
| concepts[5].id | https://openalex.org/C188353592 |
| concepts[5].level | 2 |
| concepts[5].score | 0.43811553716659546 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q450586 |
| concepts[5].display_name | Expectancy theory |
| concepts[6].id | https://openalex.org/C50522688 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3939397931098938 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q189833 |
| concepts[6].display_name | Economic growth |
| concepts[7].id | https://openalex.org/C47768531 |
| concepts[7].level | 1 |
| concepts[7].score | 0.38855209946632385 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1127188 |
| concepts[7].display_name | Development economics |
| concepts[8].id | https://openalex.org/C144133560 |
| concepts[8].level | 0 |
| concepts[8].score | 0.3659699261188507 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q4830453 |
| concepts[8].display_name | Business |
| concepts[9].id | https://openalex.org/C205649164 |
| concepts[9].level | 0 |
| concepts[9].score | 0.35349708795547485 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[9].display_name | Geography |
| concepts[10].id | https://openalex.org/C99454951 |
| concepts[10].level | 1 |
| concepts[10].score | 0.31900227069854736 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q932068 |
| concepts[10].display_name | Environmental health |
| concepts[11].id | https://openalex.org/C71924100 |
| concepts[11].level | 0 |
| concepts[11].score | 0.2704700827598572 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[11].display_name | Medicine |
| concepts[12].id | https://openalex.org/C162324750 |
| concepts[12].level | 0 |
| concepts[12].score | 0.24298295378684998 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[12].display_name | Economics |
| concepts[13].id | https://openalex.org/C159047783 |
| concepts[13].level | 1 |
| concepts[13].score | 0.2398362159729004 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q7215 |
| concepts[13].display_name | Virology |
| concepts[14].id | https://openalex.org/C116675565 |
| concepts[14].level | 2 |
| concepts[14].score | 0.15209665894508362 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q3241045 |
| concepts[14].display_name | Outbreak |
| concepts[15].id | https://openalex.org/C2908647359 |
| concepts[15].level | 2 |
| concepts[15].score | 0.10557812452316284 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q2625603 |
| concepts[15].display_name | Population |
| concepts[16].id | https://openalex.org/C2779134260 |
| concepts[16].level | 2 |
| concepts[16].score | 0.0674247145652771 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q12136 |
| concepts[16].display_name | Disease |
| concepts[17].id | https://openalex.org/C142724271 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q7208 |
| concepts[17].display_name | Pathology |
| concepts[18].id | https://openalex.org/C187736073 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q2920921 |
| concepts[18].display_name | Management |
| concepts[19].id | https://openalex.org/C524204448 |
| concepts[19].level | 3 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q788926 |
| concepts[19].display_name | Infectious disease (medical specialty) |
| keywords[0].id | https://openalex.org/keywords/pandemic |
| keywords[0].score | 0.8225740194320679 |
| keywords[0].display_name | Pandemic |
| keywords[1].id | https://openalex.org/keywords/coronavirus-disease-2019 |
| keywords[1].score | 0.7964946031570435 |
| keywords[1].display_name | Coronavirus disease 2019 (COVID-19) |
| keywords[2].id | https://openalex.org/keywords/life-expectancy |
| keywords[2].score | 0.7806686758995056 |
| keywords[2].display_name | Life expectancy |
| keywords[3].id | https://openalex.org/keywords/2019-20-coronavirus-outbreak |
| keywords[3].score | 0.5388699173927307 |
| keywords[3].display_name | 2019-20 coronavirus outbreak |
| keywords[4].id | https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2 |
| keywords[4].score | 0.52264404296875 |
| keywords[4].display_name | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) |
| keywords[5].id | https://openalex.org/keywords/expectancy-theory |
| keywords[5].score | 0.43811553716659546 |
| keywords[5].display_name | Expectancy theory |
| keywords[6].id | https://openalex.org/keywords/economic-growth |
| keywords[6].score | 0.3939397931098938 |
| keywords[6].display_name | Economic growth |
| keywords[7].id | https://openalex.org/keywords/development-economics |
| keywords[7].score | 0.38855209946632385 |
| keywords[7].display_name | Development economics |
| keywords[8].id | https://openalex.org/keywords/business |
| keywords[8].score | 0.3659699261188507 |
| keywords[8].display_name | Business |
| keywords[9].id | https://openalex.org/keywords/geography |
| keywords[9].score | 0.35349708795547485 |
| keywords[9].display_name | Geography |
| keywords[10].id | https://openalex.org/keywords/environmental-health |
| keywords[10].score | 0.31900227069854736 |
| keywords[10].display_name | Environmental health |
| keywords[11].id | https://openalex.org/keywords/medicine |
| keywords[11].score | 0.2704700827598572 |
| keywords[11].display_name | Medicine |
| keywords[12].id | https://openalex.org/keywords/economics |
| keywords[12].score | 0.24298295378684998 |
| keywords[12].display_name | Economics |
| keywords[13].id | https://openalex.org/keywords/virology |
| keywords[13].score | 0.2398362159729004 |
| keywords[13].display_name | Virology |
| keywords[14].id | https://openalex.org/keywords/outbreak |
| keywords[14].score | 0.15209665894508362 |
| keywords[14].display_name | Outbreak |
| keywords[15].id | https://openalex.org/keywords/population |
| keywords[15].score | 0.10557812452316284 |
| keywords[15].display_name | Population |
| keywords[16].id | https://openalex.org/keywords/disease |
| keywords[16].score | 0.0674247145652771 |
| keywords[16].display_name | Disease |
| language | en |
| locations[0].id | doi:10.24018/ejmed.2024.6.6.2214 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210203618 |
| locations[0].source.issn | 2593-8339 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2593-8339 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | European Journal of Medical and Health Sciences |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].source.host_organization_lineage | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | European Journal of Medical and Health Sciences |
| locations[0].landing_page_url | https://doi.org/10.24018/ejmed.2024.6.6.2214 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5066294043 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Zameer Shervani |
| authorships[0].countries | MY |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I12649496 |
| authorships[0].affiliations[0].raw_affiliation_string | Food & Energy Security Product Centre, Sendai, Japan & INTI International University, Putra Nilai, Malaysia |
| authorships[0].institutions[0].id | https://openalex.org/I12649496 |
| authorships[0].institutions[0].ror | https://ror.org/03fj82m46 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I12649496 |
| authorships[0].institutions[0].country_code | MY |
| authorships[0].institutions[0].display_name | INTI International University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Zameer Shervani |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Food & Energy Security Product Centre, Sendai, Japan & INTI International University, Putra Nilai, Malaysia |
| authorships[1].author.id | https://openalex.org/A5112570993 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Aamir Akbar Khan |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I2802039673 |
| authorships[1].affiliations[0].raw_affiliation_string | Ross University School of Medicine, Miramar, USA |
| authorships[1].institutions[0].id | https://openalex.org/I2802039673 |
| authorships[1].institutions[0].ror | https://ror.org/04phxq043 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I2802039673 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | California Miramar University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Aamir Akbar Khan |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Ross University School of Medicine, Miramar, USA |
| authorships[2].author.id | https://openalex.org/A5102111109 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Intazam Khan |
| authorships[2].affiliations[0].raw_affiliation_string | Progressive Neurology-Astoria, New York, USA |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Intazam Khan |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Progressive Neurology-Astoria, New York, USA |
| authorships[3].author.id | https://openalex.org/A5009407509 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Abdullah Sherwani |
| authorships[3].countries | IN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I171210897 |
| authorships[3].affiliations[0].raw_affiliation_string | Interdisciplinary Unit of Nanotechnology, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh, India |
| authorships[3].institutions[0].id | https://openalex.org/I171210897 |
| authorships[3].institutions[0].ror | https://ror.org/03kw9gc02 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I171210897 |
| authorships[3].institutions[0].country_code | IN |
| authorships[3].institutions[0].display_name | Aligarh Muslim University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Abdullah Sherwani |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Interdisciplinary Unit of Nanotechnology, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh, India |
| authorships[4].author.id | https://openalex.org/A5106135123 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Parangimalai Diwakar Madan Kumar |
| authorships[4].countries | IN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I893914191 |
| authorships[4].affiliations[0].raw_affiliation_string | Ragas Dental College and Hospital, Chennai, India |
| authorships[4].institutions[0].id | https://openalex.org/I893914191 |
| authorships[4].institutions[0].ror | https://ror.org/0411njj18 |
| authorships[4].institutions[0].type | healthcare |
| authorships[4].institutions[0].lineage | https://openalex.org/I893914191 |
| authorships[4].institutions[0].country_code | IN |
| authorships[4].institutions[0].display_name | Ragas Dental College & Hospital |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Parangimalai Diwakar Madan Kumar |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Ragas Dental College and Hospital, Chennai, India |
| authorships[5].author.id | https://openalex.org/A5065498308 |
| authorships[5].author.orcid | https://orcid.org/0000-0001-8520-9492 |
| authorships[5].author.display_name | Mohammad Akheel |
| authorships[5].countries | CA |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I153718931 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Earth and Environment Sciences, University of Ottawa, Ottawa, Canada |
| authorships[5].institutions[0].id | https://openalex.org/I153718931 |
| authorships[5].institutions[0].ror | https://ror.org/03c4mmv16 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I153718931 |
| authorships[5].institutions[0].country_code | CA |
| authorships[5].institutions[0].display_name | University of Ottawa |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Akram Mohammad |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Earth and Environment Sciences, University of Ottawa, Ottawa, Canada |
| authorships[6].author.id | https://openalex.org/A5026087875 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-7597-1771 |
| authorships[6].author.display_name | Umair Yaqub Qazi |
| authorships[6].countries | US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I207692693 |
| authorships[6].affiliations[0].raw_affiliation_string | Benedict College, Department of Chemistry, Physics & Environmental Health Science, Columbia, USA |
| authorships[6].institutions[0].id | https://openalex.org/I207692693 |
| authorships[6].institutions[0].ror | https://ror.org/045r9wn29 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I207692693 |
| authorships[6].institutions[0].country_code | US |
| authorships[6].institutions[0].display_name | Benedict College |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Umair Yaqub Qazi |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Benedict College, Department of Chemistry, Physics & Environmental Health Science, Columbia, USA |
| authorships[7].author.id | https://openalex.org/A5076011261 |
| authorships[7].author.orcid | |
| authorships[7].author.display_name | Venkata Phani Sai Reddy Vuyyuru |
| authorships[7].affiliations[0].raw_affiliation_string | Werribee Mercy Hospital, Werribee, Australia |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Venkata Phani Sai Reddy Vuyyuru |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Werribee Mercy Hospital, Werribee, Australia |
| authorships[8].author.id | https://openalex.org/A5070855568 |
| authorships[8].author.orcid | https://orcid.org/0000-0003-0621-4707 |
| authorships[8].author.display_name | Adil Ahmed Khan |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I4387152206 |
| authorships[8].affiliations[0].raw_affiliation_string | All India Institute of Medical Sciences (AIIMS), Rishikesh, India |
| authorships[8].institutions[0].id | https://openalex.org/I4387152206 |
| authorships[8].institutions[0].ror | https://ror.org/05qjwb041 |
| authorships[8].institutions[0].type | government |
| authorships[8].institutions[0].lineage | https://openalex.org/I4387152206 |
| authorships[8].institutions[0].country_code | |
| authorships[8].institutions[0].display_name | All India Institute of Medical Sciences Rishikesh |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Adil Ahmed Khan |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | All India Institute of Medical Sciences (AIIMS), Rishikesh, India |
| authorships[9].author.id | https://openalex.org/A5103245997 |
| authorships[9].author.orcid | https://orcid.org/0000-0002-4809-9201 |
| authorships[9].author.display_name | Aisha Mahmood |
| authorships[9].countries | IN |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I280994 |
| authorships[9].affiliations[0].raw_affiliation_string | King George's Medical University, Lucknow, India |
| authorships[9].institutions[0].id | https://openalex.org/I280994 |
| authorships[9].institutions[0].ror | https://ror.org/00gvw6327 |
| authorships[9].institutions[0].type | education |
| authorships[9].institutions[0].lineage | https://openalex.org/I280994 |
| authorships[9].institutions[0].country_code | IN |
| authorships[9].institutions[0].display_name | King George's Medical University |
| authorships[9].author_position | last |
| authorships[9].raw_author_name | Aisha Mahmood |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | King George's Medical University, Lucknow, India |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.24018/ejmed.2024.6.6.2214 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Marginal Shortening of Life Expectancy in Japan During COVID-19: A Low Pandemic Impact Country Due to Improved Health Infrastructure and Awareness |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11296 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9933000206947327 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2730 |
| primary_topic.subfield.display_name | Oncology |
| primary_topic.display_name | COVID-19 and healthcare impacts |
| related_works | https://openalex.org/W3127156785, https://openalex.org/W4205754011, https://openalex.org/W3009669391, https://openalex.org/W4200329650, https://openalex.org/W4205215807, https://openalex.org/W3005417802, https://openalex.org/W4226296940, https://openalex.org/W3028835529, https://openalex.org/W3036314732, https://openalex.org/W3134376730 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.24018/ejmed.2024.6.6.2214 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210203618 |
| best_oa_location.source.issn | 2593-8339 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2593-8339 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | European Journal of Medical and Health Sciences |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.source.host_organization_lineage | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | European Journal of Medical and Health Sciences |
| best_oa_location.landing_page_url | https://doi.org/10.24018/ejmed.2024.6.6.2214 |
| primary_location.id | doi:10.24018/ejmed.2024.6.6.2214 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210203618 |
| primary_location.source.issn | 2593-8339 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2593-8339 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | European Journal of Medical and Health Sciences |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.source.host_organization_lineage | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | European Journal of Medical and Health Sciences |
| primary_location.landing_page_url | https://doi.org/10.24018/ejmed.2024.6.6.2214 |
| publication_date | 2024-11-09 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4372338139, https://openalex.org/W4385808053, https://openalex.org/W4385701902, https://openalex.org/W4397047595, https://openalex.org/W4386033475, https://openalex.org/W4396678497, https://openalex.org/W3127090836, https://openalex.org/W3092676630, https://openalex.org/W3085146064, https://openalex.org/W3038165094, https://openalex.org/W4312176832, https://openalex.org/W4307715256, https://openalex.org/W3214225714, https://openalex.org/W3188784989, https://openalex.org/W4220804397, https://openalex.org/W4210802004, https://openalex.org/W4210510543, https://openalex.org/W3161855668, https://openalex.org/W3197563249, https://openalex.org/W3172015627, https://openalex.org/W3123987954, https://openalex.org/W4292466595, https://openalex.org/W4286240468, https://openalex.org/W4283068606, https://openalex.org/W4283743034, https://openalex.org/W4388591034, https://openalex.org/W3135535692 |
| referenced_works_count | 27 |
| abstract_inverted_index.% | 188 |
| abstract_inverted_index.A | 83 |
| abstract_inverted_index.a | 11, 80 |
| abstract_inverted_index.(% | 159 |
| abstract_inverted_index.In | 98 |
| abstract_inverted_index.LE | 64, 95, 104, 129 |
| abstract_inverted_index.We | 41 |
| abstract_inverted_index.as | 136 |
| abstract_inverted_index.in | 18, 38, 96, 111 |
| abstract_inverted_index.it | 113 |
| abstract_inverted_index.of | 14, 34, 49, 120, 197 |
| abstract_inverted_index.on | 46, 162, 191 |
| abstract_inverted_index.or | 30 |
| abstract_inverted_index.to | 10, 87, 115, 154 |
| abstract_inverted_index.ALE | 48, 58, 70, 149, 186 |
| abstract_inverted_index.Due | 153 |
| abstract_inverted_index.For | 66 |
| abstract_inverted_index.GDP | 160, 189 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.and | 20, 53, 100, 130, 132, 146, 164, 193 |
| abstract_inverted_index.but | 106 |
| abstract_inverted_index.due | 86 |
| abstract_inverted_index.its | 116, 155 |
| abstract_inverted_index.led | 9 |
| abstract_inverted_index.not | 91 |
| abstract_inverted_index.pre | 117 |
| abstract_inverted_index.the | 5, 25, 35, 43, 47, 50, 88, 108, 127, 168, 174, 179, 185, 198 |
| abstract_inverted_index.was | 60, 79, 150 |
| abstract_inverted_index.2020 | 78 |
| abstract_inverted_index.2021 | 99 |
| abstract_inverted_index.Hong | 137 |
| abstract_inverted_index.This | 182 |
| abstract_inverted_index.When | 122 |
| abstract_inverted_index.both | 67, 124 |
| abstract_inverted_index.even | 76 |
| abstract_inverted_index.high | 128 |
| abstract_inverted_index.life | 27 |
| abstract_inverted_index.male | 52 |
| abstract_inverted_index.mask | 194 |
| abstract_inverted_index.once | 107 |
| abstract_inverted_index.rich | 19, 131 |
| abstract_inverted_index.such | 135 |
| abstract_inverted_index.with | 62, 201 |
| abstract_inverted_index.year | 73 |
| abstract_inverted_index.(ALE) | 29 |
| abstract_inverted_index.(ALS) | 33 |
| abstract_inverted_index.(mask | 170 |
| abstract_inverted_index.2020, | 75 |
| abstract_inverted_index.2020. | 97 |
| abstract_inverted_index.2022, | 101 |
| abstract_inverted_index.2023, | 112 |
| abstract_inverted_index.Japan | 172 |
| abstract_inverted_index.Kong, | 138 |
| abstract_inverted_index.South | 144 |
| abstract_inverted_index.about | 167 |
| abstract_inverted_index.above | 199 |
| abstract_inverted_index.among | 126 |
| abstract_inverted_index.could | 90 |
| abstract_inverted_index.ended | 110 |
| abstract_inverted_index.every | 72 |
| abstract_inverted_index.large | 12 |
| abstract_inverted_index.least | 151, 175 |
| abstract_inverted_index.novel | 1 |
| abstract_inverted_index.paper | 183 |
| abstract_inverted_index.small | 84 |
| abstract_inverted_index.these | 39 |
| abstract_inverted_index.trend | 119 |
| abstract_inverted_index.until | 74 |
| abstract_inverted_index.usage | 195 |
| abstract_inverted_index.which | 8 |
| abstract_inverted_index.year. | 82 |
| abstract_inverted_index.Italy, | 143 |
| abstract_inverted_index.Japan. | 202 |
| abstract_inverted_index.Korea, | 145 |
| abstract_inverted_index.Spain, | 147 |
| abstract_inverted_index.caused | 4 |
| abstract_inverted_index.deaths | 15 |
| abstract_inverted_index.during | 178 |
| abstract_inverted_index.effect | 45 |
| abstract_inverted_index.female | 54 |
| abstract_inverted_index.health | 157 |
| abstract_inverted_index.living | 37 |
| abstract_inverted_index.number | 13 |
| abstract_inverted_index.people | 36 |
| abstract_inverted_index.public | 165 |
| abstract_inverted_index.reduce | 92 |
| abstract_inverted_index.though | 77 |
| abstract_inverted_index.Norway, | 142 |
| abstract_inverted_index.Sweden, | 141 |
| abstract_inverted_index.average | 26, 31 |
| abstract_inverted_index.change, | 187 |
| abstract_inverted_index.country | 177 |
| abstract_inverted_index.genders | 125 |
| abstract_inverted_index.overall | 94, 103 |
| abstract_inverted_index.thereby | 23 |
| abstract_inverted_index.usage), | 171 |
| abstract_inverted_index.COVID-19 | 6, 180 |
| abstract_inverted_index.Japanese | 51 |
| abstract_inverted_index.affected | 176 |
| abstract_inverted_index.compared | 61 |
| abstract_inverted_index.compares | 184 |
| abstract_inverted_index.decrease | 85 |
| abstract_inverted_index.genders, | 68 |
| abstract_inverted_index.improved | 156 |
| abstract_inverted_index.lifespan | 32 |
| abstract_inverted_index.pandemic | 81, 89, 109, 118, 169 |
| abstract_inverted_index.remained | 173 |
| abstract_inverted_index.returned | 114 |
| abstract_inverted_index.spending | 161, 190 |
| abstract_inverted_index.Japan’s | 56, 69, 93, 102, 148 |
| abstract_inverted_index.affected. | 152 |
| abstract_inverted_index.awareness | 166, 196 |
| abstract_inverted_index.countries | 134, 200 |
| abstract_inverted_index.declining | 57 |
| abstract_inverted_index.developed | 21 |
| abstract_inverted_index.increased | 71 |
| abstract_inverted_index.pandemic, | 7 |
| abstract_inverted_index.pandemic. | 181 |
| abstract_inverted_index.Singapore, | 140 |
| abstract_inverted_index.countries, | 22 |
| abstract_inverted_index.countries. | 40, 65 |
| abstract_inverted_index.decreased, | 105 |
| abstract_inverted_index.decreasing | 24 |
| abstract_inverted_index.democratic | 133 |
| abstract_inverted_index.expectancy | 28 |
| abstract_inverted_index.worldwide, | 16 |
| abstract_inverted_index.considering | 123 |
| abstract_inverted_index.coronavirus | 2 |
| abstract_inverted_index.healthcare) | 163 |
| abstract_inverted_index.healthcare, | 192 |
| abstract_inverted_index.increasing. | 121 |
| abstract_inverted_index.population. | 55 |
| abstract_inverted_index.(SARS-CoV-2) | 3 |
| abstract_inverted_index.Switzerland, | 139 |
| abstract_inverted_index.high-ranking | 63 |
| abstract_inverted_index.investigated | 42 |
| abstract_inverted_index.pandemic’s | 44 |
| abstract_inverted_index.particularly | 17 |
| abstract_inverted_index.infrastructure | 158 |
| abstract_inverted_index.year-over-year | 59 |
| cited_by_percentile_year | |
| countries_distinct_count | 4 |
| institutions_distinct_count | 10 |
| citation_normalized_percentile.value | 0.40330318 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |