About: Early estimates of the indirect effects of the COVID-19 pandemic on maternal and child mortality in low-income and middle-income countries: a modelling study

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Early estimates of the indirect effects of the COVID-19 pandemic on maternal and child mortality in low-income and middle-income countries: a modelling study Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Early estimates of the indirect effects of the COVID-19 pandemic on maternal and child mortality in low-income and middle-income countries: a modelling study
Creator	Hopkins Bloomberg, Johns Carter, Emily Carter, E Chou, V Chou, Victoria Drph, Roberton Jackson, Bianca Mhs, Tam Miph, Sawadogo-Lewis Msph, Jackson Roberton, Timothy Sawadogo-Lewis, Talata Stegmuller, A Stegmuller, Angela Tam, Yvonne Walker, N Walker, Neff
source	Elsevier; Medline; PMC
abstract	BACKGROUND: While the COVID-19 pandemic will increase mortality due to the virus, it is also likely to increase mortality indirectly. In this study, we estimate the additional maternal and under-5 child deaths resulting from the potential disruption of health systems and decreased access to food. METHODS: We modelled three scenarios in which the coverage of essential maternal and child health interventions is reduced by 9·8–51·9% and the prevalence of wasting is increased by 10–50%. Although our scenarios are hypothetical, we sought to reflect real-world possibilities, given emerging reports of the supply-side and demand-side effects of the pandemic. We used the Lives Saved Tool to estimate the additional maternal and under-5 child deaths under each scenario, in 118 low-income and middle-income countries. We estimated additional deaths for a single month and extrapolated for 3 months, 6 months, and 12 months. FINDINGS: Our least severe scenario (coverage reductions of 9·8–18·5% and wasting increase of 10%) over 6 months would result in 253 500 additional child deaths and 12 200 additional maternal deaths. Our most severe scenario (coverage reductions of 39·3–51·9% and wasting increase of 50%) over 6 months would result in 1 157 000 additional child deaths and 56 700 additional maternal deaths. These additional deaths would represent an increase of 9·8–44·7% in under-5 child deaths per month, and an 8·3–38·6% increase in maternal deaths per month, across the 118 countries. Across our three scenarios, the reduced coverage of four childbirth interventions (parenteral administration of uterotonics, antibiotics, and anticonvulsants, and clean birth environments) would account for approximately 60% of additional maternal deaths. The increase in wasting prevalence would account for 18–23% of additional child deaths and reduced coverage of antibiotics for pneumonia and neonatal sepsis and of oral rehydration solution for diarrhoea would together account for around 41% of additional child deaths. INTERPRETATION: Our estimates are based on tentative assumptions and represent a wide range of outcomes. Nonetheless, they show that, if routine health care is disrupted and access to food is decreased (as a result of unavoidable shocks, health system collapse, or intentional choices made in responding to the pandemic), the increase in child and maternal deaths will be devastating. We hope these numbers add context as policy makers establish guidelines and allocate resources in the days and months to come. FUNDING: Bill & Melinda Gates Foundation, Global Affairs Canada.
has issue date	2020-05-12(xsd:dateTime)
bibo:doi	10.1016/s2214-109x(20)30229-1
bibo:pmid	32405459
has license	no-cc
sha1sum (hex)	fc5cec1445da5f9aef22c9b7360f2f7eaccec82a
schema:url	https://doi.org/10.1016/s2214-109x%2820%2930229-1
resource representing a document's title	Early estimates of the indirect effects of the COVID-19 pandemic on maternal and child mortality in low-income and middle-income countries: a modelling study
has PubMed Central identifier	PMC7217645
has PubMed identifier	32405459
schema:publication	Lancet Glob Health
resource representing a document's body	covid:fc5cec1445da5f9aef22c9b7360f2f7eaccec82a#body_text
is schema:about of	covid:arg/fc5cec1445da5f9aef22c9b7360f2f7eaccec82a named entity 'virus' named entity 'health systems' named entity 'food' named entity 'child' named entity 'maternal' named entity 'COVID-19' named entity 'child mortality' named entity 'COVID-19 pandemic' named entity 'COVID-19 pandemic' named entity 'health services' named entity 'epidemic' named entity 'medical supply' named entity 'vaccines' named entity 'health care services' named entity 'Ebola virus' named entity 'diarrhoea' named entity 'family planning' named entity 'Taiwan' named entity 'purchasing power' named entity 'ambulatory care' named entity 'policy decisions' named entity 'fertility' named entity 'nosocomial infection' named entity 'parenteral administration' named entity 'maternal and child health' named entity 'TSL' named entity 'maternal deaths' named entity 'rotavirus' named entity 'postnatal' named entity 'maternal and child health' named entity 'antibiotics' named entity 'life returns' named entity 'fertility' named entity 'nosocomial' named entity 'child mortality' named entity 'maternal and child health' named entity 'Ebola virus' named entity 'data analysis' named entity 'diphtheria-tetanus-pertussis vaccine' named entity 'high-income countries' named entity 'forego' named entity 'Ebola virus outbreak' named entity 'data analysis' named entity 'child mortality' named entity 'infectious disease outbreaks' named entity 'COVID-19' named entity 'food crises' named entity 'maternal deaths' named entity 'immunisations' named entity 'under-5 mortality' named entity 'health workers' named entity 'postpartum haemorrhage' named entity 'health workers' named entity 'vaccination' named entity 'health systems' named entity 'severe acute respiratory syndrome coronavirus 2' named entity 'public transport' named entity 'child birth' named entity 'causal model' named entity 'health systems' named entity 'severe acute respiratory syndrome coronavirus 2' named entity 'World Food Programme' named entity 'policy makers' named entity 'health workers'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software