Download
fpubh-09-622379.pdf 664,53KB
WeightNameValue
1000 Titel
  • Insights Into Excess Mortality During the First Months of the COVID-19 Pandemic From a Rural, Demographic Surveillance Site in Bangladesh
1000 Autor/in
  1. Hanifi, Syed Manzoor Ahmed |
  2. Alam, Sayed Saidul |
  3. Shuma, Sanjida Siddiqua |
  4. Reidpath, Daniel D. |
1000 Verlag
  • Frontiers Media S.A.
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-07-29
1000 Erschienen in
1000 Quellenangabe
  • 9:622379
1000 Copyrightjahr
  • 2021
1000 Embargo
  • 2022-01-31
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fpubh.2021.622379 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358064/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Abstract/Summary
  • <jats:p><jats:bold>Background:</jats:bold> Coronavirus disease 2019 (COVID-19) has spread globally, and the government of each affected country is publishing the number of deaths every day. This official figure is an underestimate as it excludes anybody who did not die in a hospital, who did not test positive, who had a false result, or those who recovered on their own without a test.</jats:p><jats:p><jats:bold>Objective:</jats:bold> This study aimed to measure the community level excess mortality using health and demographic surveillance in a rural area of Bangladesh.</jats:p><jats:p><jats:bold>Method:</jats:bold> The study was conducted in Matlab, in a rural area of Bangladesh, with a Health and Demographic Surveillance System (HDSS) covering a population of 239,030 individuals living in 54,823 households in 142 villages. We examined the mortality in January-April from 2015 to 2020 and compared the mortality in 2020 with the historical trend of 2015–2019. Between 2015 and 2020, we followed 276,868 people until migration or death, whichever occurred first. We analyzed mortality using crude mortality rate ratio (MRR) and adjusted MRR (aMRR) from a Cox proportional hazard model. Mortality was analyzed according to age, sex, and period.</jats:p><jats:p><jats:bold>Results:</jats:bold> During follow-up, 3,197 people died. The mortality rate per 1,000 person-years increased from 10 in 2019 to 12 in 2020. Excess mortality was observed among the elderly population (aged 65 years and above). The elderly mortality rate per 1,000 person-years increased from 80 in 2019 to 110 in 2020, and the aMRR was 1.40 (95% CI: 1.19–1.64). Although an increasing tendency in mortality was observed between 2015 and 2019, it was statistically insignificant.</jats:p><jats:p><jats:bold>Conclusions:</jats:bold> The study reported a 28% increase in excess deaths among the elderly population during the first months of the pandemic. This all-cause mortality estimation at the community level will urge policymakers, public health professionals, and researchers to further investigate the causes of death and the underlying reasons for excess deaths in the older age-group.</jats:p>
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Aged [MeSH]
lokal mortality
lokal Bangladesh/epidemiology [MeSH]
lokal Humans [MeSH]
lokal Bangladesh
lokal Public Health
lokal COVID-19
lokal Demography [MeSH]
lokal Pandemics [MeSH]
lokal COVID-19 [MeSH]
lokal elderly
lokal SARS-CoV-2 [MeSH]
lokal sex
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/SGFuaWZpLCBTeWVkIE1hbnpvb3IgQWhtZWQ=|https://frl.publisso.de/adhoc/uri/QWxhbSwgU2F5ZWQgU2FpZHVs|https://frl.publisso.de/adhoc/uri/U2h1bWEsIFNhbmppZGEgU2lkZGlxdWE=|https://frl.publisso.de/adhoc/uri/UmVpZHBhdGgsIERhbmllbCBELg==
1000 Hinweis
  • DeepGreen-ID: 7348c719bd514b6f975508e9ec9008fc ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6478996.rdf
1000 Erstellt am 2024-05-21T18:59:43.551+0200
1000 Erstellt von 322
1000 beschreibt frl:6478996
1000 Zuletzt bearbeitet Wed May 22 12:23:08 CEST 2024
1000 Objekt bearb. Wed May 22 12:23:08 CEST 2024
1000 Vgl. frl:6478996
1000 Oai Id
  1. oai:frl.publisso.de:frl:6478996 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source