Literature DB >> 32514207

Mortality surveillance during the COVID-19 pandemic.

Philip Setel1, Carla AbouZahr1, Emily B Atuheire2, Martin Bratschi1, Emily Cercone3, Oliver Chinganya4, Benjamin Clapham1, Samuel J Clark5, Carlie Congdon1, Don de Savigny6, Adam Karpati1, Erin Nichols3, Robert Jakob7, James Mwanza1, William Muhwava4, Petra Nahmias8, Elizabeth M Ortiz1, Akhona Tshangela2.   

Abstract

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Year:  2020        PMID: 32514207      PMCID: PMC7265935          DOI: 10.2471/BLT.20.263194

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


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During an epidemic, rapid mortality surveillance provides essential information to formulate an evidence-based response. Weekly counts of deaths are a key indicator of overall epidemic impact and trajectory., Enumeration of all deaths, when compared to historically expected mortality, produces a picture of excess death, capturing both the direct burden of the epidemic and its indirect mortality burden, caused by disruptions to the access, use and provision of health-care services. Such actionable public health intelligence can overcome the ambiguities of just measuring cases and deaths linked to the infectious disease causing the epidemic. Measuring excess death would therefore be useful in the countries’ response to the coronavirus disease 2019 (COVID-19) pandemic. Rapid mortality surveillance comprises both facility- and community-based components and depends on both data availability and transmissibility. Networks of community and health facility sites reporting deaths by age, sex and location on a daily or weekly basis provide an essential input to the outbreak response, including tracking the epidemic trajectory after adjusting public health and social measures. This type of rapid surveillance has been implemented in numerous settings, including in Europe and Africa, and its feasibility has been demonstrated even under difficult conditions, such as mass displacement.– Facility-based surveillance may be implemented by medical records staff, observing proper infection control measures to protect themselves, including avoiding patient-care areas; observing workplace physical distancing measures; rigorously practicing hand hygiene; and use of personal protective equipment. A simple list of deaths by age, sex and usual residence transmitted weekly from a selected set of sentinel facilities is the starting point. One approach to rapid mortality surveillance is to leverage existing routine health information systems, COVID-19-specific rapid data collection platforms or existing surveillance platforms, such as integrated disease surveillance and response. Community-based surveillance may be critical where high numbers of deaths occur outside of health facilities – a situation that may worsen should health systems become overwhelmed. Community surveillance can be done by community-based health-care providers or other frontline workers whose existing remit includes the notification of vital events, provided that infection prevention measures can be observed to protect those collecting data. Ideally, with little lag-time, the system could generate weekly counts of deaths by demographic group and location. Real-time data can be compared to predicted deaths from historical data. For populations without historical data, the initial period of complete reporting can provide a baseline against which to compare emerging trends. Rapid mortality surveillance may provide policy-makers with up-to-date status reports, including spread into new areas or previously unaffected populations. This surveillance can also help target, prioritize and monitor the effectiveness of prevention and response strategies. Countries need real-time awareness of the distribution and magnitude of all direct and indirect health impacts of the COVID-19 pandemic. Establishing, scaling and improving upon rapid mortality surveillance would contribute to fulfilling this need, as well as preparing for future outbreaks.
  5 in total

1.  [Epidemiological surveillance of mortality based on burrial records].

Authors:  C Borrell; A Plasència; S Thió; M Martí-Recober
Journal:  Gac Sanit       Date:  1991 Jan-Feb       Impact factor: 2.139

2.  System for rapid assessment of pneumonia and influenza-related mortality-Ohio, 2009-2010.

Authors:  Loren E Rodgers; John Paulson; Brian Fowler; Rosemary Duffy
Journal:  Am J Public Health       Date:  2015-02       Impact factor: 9.308

3.  Morbidity and mortality surveillance in Rwandan refugees--Burundi and Zaire, 1994.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  1996-02-09       Impact factor: 17.586

4.  Community-Based Surveillance to Monitor Mortality in a Malaria-Endemic and Ebola-Epidemic Setting in Rural Guinea.

Authors:  Amanda Tiffany; Faya Pascal Moundekeno; Alexis Traoré; Melat Haile; Esther Sterk; Timothé Guilavogui; Micaela Serafini; Blaise Genton; Rebecca F Grais
Journal:  Am J Trop Med Hyg       Date:  2016-10-03       Impact factor: 2.345

5.  [On the increase in mortality in Italy in 2015: analysis of seasonal mortality in the 32 municipalities included in the Surveillance system of daily mortality].

Authors:  Paola Michelozzi; Francesca De' Donato; Matteo Scortichini; Manuela De Sario; Federica Asta; Nera Agabiti; Ranieri Guerra; Annamaria de Martino; Marina Davoli
Journal:  Epidemiol Prev       Date:  2016 Jan-Feb       Impact factor: 1.901

  5 in total
  15 in total

1.  Pandemetrics: systematically assessing, monitoring, and controlling the evolution of a pandemic.

Authors:  Stefano Barone; Alexander Chakhunashvili
Journal:  Qual Quant       Date:  2022-06-08

2.  Barriers and facilitators to reporting deaths following Ebola surveillance in Sierra Leone: implications for sustainable mortality surveillance based on an exploratory qualitative assessment.

Authors:  Mohamed F Jalloh; John Kinsman; James Conteh; Reinhard Kaiser; Amara Jambai; Anna Mia Ekström; Rebecca E Bunnell; Helena Nordenstedt
Journal:  BMJ Open       Date:  2021-05-13       Impact factor: 2.692

3.  An evaluation of COVID-19 surveillance system in New Juaben South Municipality of Ghana: a cross-sectional study.

Authors:  Hectoria Awekeya; Stephen Dajaan Dubik; Kingsley Amegah; Anthony Ashinyo; Francis Wuobar; Ekow Kaitoo; Winfred Ofosu; Mary Eyram Ashinyo
Journal:  Pan Afr Med J       Date:  2021-12-06

Review 4.  COVID-19 surveillance systems in African countries.

Authors:  Yusuff Adebayo Adebisi; Adrian Rabe; Don Eliseo Lucero-Prisno Iii
Journal:  Health Promot Perspect       Date:  2021-12-19

5.  Refining circumstances of mortality categories (COMCAT): a verbal autopsy model connecting circumstances of deaths with outcomes for public health decision-making.

Authors:  Lucia D'Ambruoso; Jessica Price; Eilidh Cowan; Gerhard Goosen; Edward Fottrell; Kobus Herbst; Maria van der Merwe; Jerry Sigudla; Justine Davies; Kathleen Kahn
Journal:  Glob Health Action       Date:  2021-10-26       Impact factor: 2.640

6.  Different approaches to quantify years of life lost from COVID-19.

Authors:  Tamás Ferenci
Journal:  Eur J Epidemiol       Date:  2021-06-10       Impact factor: 8.082

7.  Primary Indicators to Systematically Monitor COVID-19 Mitigation and Response - Kentucky, May 19-July 15, 2020.

Authors:  Kate Varela; Benjamin Scott; John Prather; Erin Blau; Peter Rock; Adam Vaughan; Cara Halldin; Sean Griffing; Heidi Pfeiffer; Janine Hines; Emilio Dirlikov; Doug Thoroughman
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-08-28       Impact factor: 17.586

8.  A Systematic Narrative Review of Comprehensive Preparedness Strategies of Healthcare Resources for a Large Resurgence of COVID-19 Nationally, with Local or Regional Epidemics: Present Era and Beyond.

Authors:  Young Kyung Yoon; Jacob Lee; Sang Il Kim; Kyong Ran Peck
Journal:  J Korean Med Sci       Date:  2020-11-16       Impact factor: 2.153

9.  National Sample Vital Registration System: A sustainable platform for COVID-19 and other infectious diseases surveillance in low and middle-income countries.

Authors:  Agbessi Amouzou; Almamy Kante; Ivalda Macicame; Adriano Antonio; Eduardo Gudo; Pedro Duce; Robert E Black
Journal:  J Glob Health       Date:  2020-12       Impact factor: 4.413

10.  Fear among Syrians: A Proposed Cutoff Score for the Arabic Fear of COVID-19 Scale.

Authors:  Fatema Mohsen; Batoul Bakkar; Salma Khadem Alsrouji; Esraa Abbas; Alma Najjar; Marah Marrawi; Youssef Latifeh
Journal:  PLoS One       Date:  2022-03-11       Impact factor: 3.240

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