Predicting the Impact of COVID-19 and the Potential Impact of the Public Health Response on Disease Burden in Uganda.
Identifieur interne : 001296 ( Main/Exploration ); précédent : 001295; suivant : 001297Predicting the Impact of COVID-19 and the Potential Impact of the Public Health Response on Disease Burden in Uganda.
Auteurs : David Bell [États-Unis] ; Kristian Schultz Hansen [Danemark] ; Agnes N. Kiragga [Ouganda] ; Andrew Kambugu [Ouganda] ; John Kissa [Ouganda] ; Anthony K. Mbonye [Ouganda]Source :
- The American journal of tropical medicine and hygiene [ 1476-1645 ] ; 2020.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Coûts indirects de la maladie (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Humains (MeSH), Infections à coronavirus (mortalité), Infections à coronavirus (épidémiologie), Jeune adulte (MeSH), Mortalité maternelle (MeSH), Nourrisson (MeSH), Nouveau-né (MeSH), Ouganda (épidémiologie), Paludisme (épidémiologie), Pandémies (MeSH), Pneumopathie virale (mortalité), Pneumopathie virale (épidémiologie), Santé publique (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH).
- MESH :
- mortalité : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : Infections à coronavirus, Ouganda, Paludisme, Pneumopathie virale.
- Adolescent, Adulte, Adulte d'âge moyen, Betacoronavirus, Coûts indirects de la maladie, Enfant, Enfant d'âge préscolaire, Humains, Jeune adulte, Mortalité maternelle, Nourrisson, Nouveau-né, Pandémies, Santé publique, Sujet âgé, Sujet âgé de 80 ans ou plus.
- Wicri :
- geographic : Ouganda.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (MeSH), COVID-19 (MeSH), Child (MeSH), Child, Preschool (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (mortality), Cost of Illness (MeSH), Humans (MeSH), Infant (MeSH), Infant, Newborn (MeSH), Malaria (epidemiology), Maternal Mortality (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Pneumonia, Viral (mortality), Public Health (MeSH), SARS-CoV-2 (MeSH), Uganda (epidemiology), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : Uganda.
- epidemiology : Coronavirus Infections, Malaria, Pneumonia, Viral.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- Adolescent, Adult, Aged, Aged, 80 and over, Betacoronavirus, COVID-19, Child, Child, Preschool, Cost of Illness, Humans, Infant, Infant, Newborn, Maternal Mortality, Middle Aged, Pandemics, Public Health, SARS-CoV-2, Young Adult.
Abstract
The COVID-19 pandemic and public health "lockdown" responses in sub-Saharan Africa, including Uganda, are now widely reported. Although the impact of COVID-19 on African populations has been relatively light, it is feared that redirecting focus and prioritization of health systems to fight COVID-19 may have an impact on access to non-COVID-19 diseases. We applied age-based COVID-19 mortality data from China to the population structures of Uganda and non-African countries with previously established outbreaks, comparing theoretical mortality and disability-adjusted life years (DALYs) lost. We then predicted the impact of possible scenarios of the COVID-19 public health response on morbidity and mortality for HIV/AIDS, malaria, and maternal health in Uganda. Based on population age structure alone, Uganda is predicted to have a relatively low COVID-19 burden compared with an equivalent transmission in comparison countries, with 12% of the mortality and 19% of the lost DALYs predicted for an equivalent transmission in Italy. By contrast, scenarios of the impact of the public health response on malaria and HIV/AIDS predict additional disease burdens outweighing that predicted from extensive SARS-CoV-2 transmission. Emerging disease data from Uganda suggest that such deterioration may already be occurring. The results predict a relatively low COVID-19 impact on Uganda associated with its young population, with a high risk of negative impact on non-COVID-19 disease burden from a prolonged lockdown response. This may reverse hard-won gains in addressing fundamental vulnerabilities in women and children's health, and underlines the importance of tailoring COVID-19 responses according to population structure and local disease vulnerabilities.
DOI: 10.4269/ajtmh.20-0546
PubMed: 32705975
PubMed Central: PMC7470592
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Predicting the Impact of COVID-19 and the Potential Impact of the Public Health Response on Disease Burden in Uganda.</title><author><name sortKey="Bell, David" sort="Bell, David" uniqKey="Bell D" first="David" last="Bell">David Bell</name><affiliation wicri:level="2"><nlm:affiliation>Independent Consultant, Issaquah, Washington.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Washington (État)</region></placeName><wicri:cityArea>Independent Consultant, Issaquah</wicri:cityArea></affiliation></author><author><name sortKey="Hansen, Kristian Schultz" sort="Hansen, Kristian Schultz" uniqKey="Hansen K" first="Kristian Schultz" last="Hansen">Kristian Schultz Hansen</name><affiliation wicri:level="3"><nlm:affiliation>Department of Public Health, Centre for Health Economics and Policy, University of Copenhagen, Copenhagen, Denmark.</nlm:affiliation><country xml:lang="fr">Danemark</country><wicri:regionArea>Department of Public Health, Centre for Health Economics and Policy, University of Copenhagen, Copenhagen</wicri:regionArea><placeName><settlement type="city">Copenhague</settlement><region type="région" nuts="2">Hovedstaden</region></placeName></affiliation></author><author><name sortKey="Kiragga, Agnes N" sort="Kiragga, Agnes N" uniqKey="Kiragga A" first="Agnes N" last="Kiragga">Agnes N. Kiragga</name><affiliation wicri:level="1"><nlm:affiliation>Infectious Diseases Institute, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.</nlm:affiliation><country xml:lang="fr">Ouganda</country><wicri:regionArea>Infectious Diseases Institute, School of Medicine, College of Health Sciences, Makerere University, Kampala</wicri:regionArea><wicri:noRegion>Kampala</wicri:noRegion></affiliation></author><author><name sortKey="Kambugu, Andrew" sort="Kambugu, Andrew" uniqKey="Kambugu A" first="Andrew" last="Kambugu">Andrew Kambugu</name><affiliation wicri:level="1"><nlm:affiliation>Infectious Diseases Institute, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.</nlm:affiliation><country xml:lang="fr">Ouganda</country><wicri:regionArea>Infectious Diseases Institute, School of Medicine, College of Health Sciences, Makerere University, Kampala</wicri:regionArea><wicri:noRegion>Kampala</wicri:noRegion></affiliation></author><author><name sortKey="Kissa, John" sort="Kissa, John" uniqKey="Kissa J" first="John" last="Kissa">John Kissa</name><affiliation wicri:level="1"><nlm:affiliation>Uganda Ministry of Health, Division of Health Information, Kampala, Uganda.</nlm:affiliation><country xml:lang="fr">Ouganda</country><wicri:regionArea>Uganda Ministry of Health, Division of Health Information, Kampala</wicri:regionArea><wicri:noRegion>Kampala</wicri:noRegion></affiliation></author><author><name sortKey="Mbonye, Anthony K" sort="Mbonye, Anthony K" uniqKey="Mbonye A" first="Anthony K" last="Mbonye">Anthony K. Mbonye</name><affiliation wicri:level="1"><nlm:affiliation>School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.</nlm:affiliation><country xml:lang="fr">Ouganda</country><wicri:regionArea>School of Public Health, College of Health Sciences, Makerere University, Kampala</wicri:regionArea><wicri:noRegion>Kampala</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32705975</idno><idno type="pmid">32705975</idno><idno type="doi">10.4269/ajtmh.20-0546</idno><idno type="pmc">PMC7470592</idno><idno type="wicri:Area/Main/Corpus">001F46</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001F46</idno><idno type="wicri:Area/Main/Curation">001F46</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">001F46</idno><idno type="wicri:Area/Main/Exploration">001F46</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Predicting the Impact of COVID-19 and the Potential Impact of the Public Health Response on Disease Burden in Uganda.</title><author><name sortKey="Bell, David" sort="Bell, David" uniqKey="Bell D" first="David" last="Bell">David Bell</name><affiliation wicri:level="2"><nlm:affiliation>Independent Consultant, Issaquah, Washington.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Washington (État)</region></placeName><wicri:cityArea>Independent Consultant, Issaquah</wicri:cityArea></affiliation></author><author><name sortKey="Hansen, Kristian Schultz" sort="Hansen, Kristian Schultz" uniqKey="Hansen K" first="Kristian Schultz" last="Hansen">Kristian Schultz Hansen</name><affiliation wicri:level="3"><nlm:affiliation>Department of Public Health, Centre for Health Economics and Policy, University of Copenhagen, Copenhagen, Denmark.</nlm:affiliation><country xml:lang="fr">Danemark</country><wicri:regionArea>Department of Public Health, Centre for Health Economics and Policy, University of Copenhagen, Copenhagen</wicri:regionArea><placeName><settlement type="city">Copenhague</settlement><region type="région" nuts="2">Hovedstaden</region></placeName></affiliation></author><author><name sortKey="Kiragga, Agnes N" sort="Kiragga, Agnes N" uniqKey="Kiragga A" first="Agnes N" last="Kiragga">Agnes N. Kiragga</name><affiliation wicri:level="1"><nlm:affiliation>Infectious Diseases Institute, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.</nlm:affiliation><country xml:lang="fr">Ouganda</country><wicri:regionArea>Infectious Diseases Institute, School of Medicine, College of Health Sciences, Makerere University, Kampala</wicri:regionArea><wicri:noRegion>Kampala</wicri:noRegion></affiliation></author><author><name sortKey="Kambugu, Andrew" sort="Kambugu, Andrew" uniqKey="Kambugu A" first="Andrew" last="Kambugu">Andrew Kambugu</name><affiliation wicri:level="1"><nlm:affiliation>Infectious Diseases Institute, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.</nlm:affiliation><country xml:lang="fr">Ouganda</country><wicri:regionArea>Infectious Diseases Institute, School of Medicine, College of Health Sciences, Makerere University, Kampala</wicri:regionArea><wicri:noRegion>Kampala</wicri:noRegion></affiliation></author><author><name sortKey="Kissa, John" sort="Kissa, John" uniqKey="Kissa J" first="John" last="Kissa">John Kissa</name><affiliation wicri:level="1"><nlm:affiliation>Uganda Ministry of Health, Division of Health Information, Kampala, Uganda.</nlm:affiliation><country xml:lang="fr">Ouganda</country><wicri:regionArea>Uganda Ministry of Health, Division of Health Information, Kampala</wicri:regionArea><wicri:noRegion>Kampala</wicri:noRegion></affiliation></author><author><name sortKey="Mbonye, Anthony K" sort="Mbonye, Anthony K" uniqKey="Mbonye A" first="Anthony K" last="Mbonye">Anthony K. Mbonye</name><affiliation wicri:level="1"><nlm:affiliation>School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.</nlm:affiliation><country xml:lang="fr">Ouganda</country><wicri:regionArea>School of Public Health, College of Health Sciences, Makerere University, Kampala</wicri:regionArea><wicri:noRegion>Kampala</wicri:noRegion></affiliation></author></analytic><series><title level="j">The American journal of tropical medicine and hygiene</title><idno type="eISSN">1476-1645</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>COVID-19 (MeSH)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (mortality)</term><term>Cost of Illness (MeSH)</term><term>Humans (MeSH)</term><term>Infant (MeSH)</term><term>Infant, Newborn (MeSH)</term><term>Malaria (epidemiology)</term><term>Maternal Mortality (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (mortality)</term><term>Public Health (MeSH)</term><term>SARS-CoV-2 (MeSH)</term><term>Uganda (epidemiology)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Coûts indirects de la maladie (MeSH)</term><term>Enfant (MeSH)</term><term>Enfant d'âge préscolaire (MeSH)</term><term>Humains (MeSH)</term><term>Infections à coronavirus (mortalité)</term><term>Infections à coronavirus (épidémiologie)</term><term>Jeune adulte (MeSH)</term><term>Mortalité maternelle (MeSH)</term><term>Nourrisson (MeSH)</term><term>Nouveau-né (MeSH)</term><term>Ouganda (épidémiologie)</term><term>Paludisme (épidémiologie)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (mortalité)</term><term>Pneumopathie virale (épidémiologie)</term><term>Santé publique (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Uganda</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Malaria</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Ouganda</term><term>Paludisme</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Betacoronavirus</term><term>COVID-19</term><term>Child</term><term>Child, Preschool</term><term>Cost of Illness</term><term>Humans</term><term>Infant</term><term>Infant, Newborn</term><term>Maternal Mortality</term><term>Middle Aged</term><term>Pandemics</term><term>Public Health</term><term>SARS-CoV-2</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Betacoronavirus</term><term>Coûts indirects de la maladie</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Humains</term><term>Jeune adulte</term><term>Mortalité maternelle</term><term>Nourrisson</term><term>Nouveau-né</term><term>Pandémies</term><term>Santé publique</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Ouganda</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The COVID-19 pandemic and public health "lockdown" responses in sub-Saharan Africa, including Uganda, are now widely reported. Although the impact of COVID-19 on African populations has been relatively light, it is feared that redirecting focus and prioritization of health systems to fight COVID-19 may have an impact on access to non-COVID-19 diseases. We applied age-based COVID-19 mortality data from China to the population structures of Uganda and non-African countries with previously established outbreaks, comparing theoretical mortality and disability-adjusted life years (DALYs) lost. We then predicted the impact of possible scenarios of the COVID-19 public health response on morbidity and mortality for HIV/AIDS, malaria, and maternal health in Uganda. Based on population age structure alone, Uganda is predicted to have a relatively low COVID-19 burden compared with an equivalent transmission in comparison countries, with 12% of the mortality and 19% of the lost DALYs predicted for an equivalent transmission in Italy. By contrast, scenarios of the impact of the public health response on malaria and HIV/AIDS predict additional disease burdens outweighing that predicted from extensive SARS-CoV-2 transmission. Emerging disease data from Uganda suggest that such deterioration may already be occurring. The results predict a relatively low COVID-19 impact on Uganda associated with its young population, with a high risk of negative impact on non-COVID-19 disease burden from a prolonged lockdown response. This may reverse hard-won gains in addressing fundamental vulnerabilities in women and children's health, and underlines the importance of tailoring COVID-19 responses according to population structure and local disease vulnerabilities.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32705975</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>16</Day></DateCompleted><DateRevised><Year>2021</Year><Month>01</Month><Day>28</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1476-1645</ISSN><JournalIssue CitedMedium="Internet"><Volume>103</Volume><Issue>3</Issue><PubDate><Year>2020</Year><Month>09</Month></PubDate></JournalIssue><Title>The American journal of tropical medicine and hygiene</Title><ISOAbbreviation>Am J Trop Med Hyg</ISOAbbreviation></Journal><ArticleTitle>Predicting the Impact of COVID-19 and the Potential Impact of the Public Health Response on Disease Burden in Uganda.</ArticleTitle><Pagination><MedlinePgn>1191-1197</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.4269/ajtmh.20-0546</ELocationID><Abstract><AbstractText>The COVID-19 pandemic and public health "lockdown" responses in sub-Saharan Africa, including Uganda, are now widely reported. Although the impact of COVID-19 on African populations has been relatively light, it is feared that redirecting focus and prioritization of health systems to fight COVID-19 may have an impact on access to non-COVID-19 diseases. We applied age-based COVID-19 mortality data from China to the population structures of Uganda and non-African countries with previously established outbreaks, comparing theoretical mortality and disability-adjusted life years (DALYs) lost. We then predicted the impact of possible scenarios of the COVID-19 public health response on morbidity and mortality for HIV/AIDS, malaria, and maternal health in Uganda. Based on population age structure alone, Uganda is predicted to have a relatively low COVID-19 burden compared with an equivalent transmission in comparison countries, with 12% of the mortality and 19% of the lost DALYs predicted for an equivalent transmission in Italy. By contrast, scenarios of the impact of the public health response on malaria and HIV/AIDS predict additional disease burdens outweighing that predicted from extensive SARS-CoV-2 transmission. Emerging disease data from Uganda suggest that such deterioration may already be occurring. The results predict a relatively low COVID-19 impact on Uganda associated with its young population, with a high risk of negative impact on non-COVID-19 disease burden from a prolonged lockdown response. This may reverse hard-won gains in addressing fundamental vulnerabilities in women and children's health, and underlines the importance of tailoring COVID-19 responses according to population structure and local disease vulnerabilities.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Bell</LastName><ForeName>David</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Independent Consultant, Issaquah, Washington.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hansen</LastName><ForeName>Kristian Schultz</ForeName><Initials>KS</Initials><AffiliationInfo><Affiliation>Department of Public Health, Centre for Health Economics and Policy, University of Copenhagen, Copenhagen, Denmark.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kiragga</LastName><ForeName>Agnes N</ForeName><Initials>AN</Initials><AffiliationInfo><Affiliation>Infectious Diseases Institute, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kambugu</LastName><ForeName>Andrew</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Infectious Diseases Institute, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kissa</LastName><ForeName>John</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Uganda Ministry of Health, Division of Health Information, Kampala, Uganda.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mbonye</LastName><ForeName>Anthony K</ForeName><Initials>AK</Initials><AffiliationInfo><Affiliation>School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Am J Trop Med Hyg</MedlineTA><NlmUniqueID>0370507</NlmUniqueID><ISSNLinking>0002-9637</ISSNLinking></MedlineJournalInfo><CitationSubset>AIM</CitationSubset><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="CommentIn"><RefSource>Nature. 2020 Nov;587(7834):331</RefSource><PMID Version="1">33204014</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017281" MajorTopicYN="N">Cost of Illness</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008288" MajorTopicYN="N">Malaria</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008428" MajorTopicYN="N">Maternal Mortality</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011634" MajorTopicYN="Y">Public Health</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000086402" MajorTopicYN="N">SARS-CoV-2</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014454" MajorTopicYN="N" Type="Geographic">Uganda</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>7</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>9</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>7</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32705975</ArticleId><ArticleId IdType="doi">10.4269/ajtmh.20-0546</ArticleId><ArticleId IdType="pmc">PMC7470592</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>Afr J Lab Med. 2016 Oct 27;5(3):579</Citation><ArticleIdList><ArticleId IdType="pubmed">28879145</ArticleId></ArticleIdList></Reference><Reference><Citation>Trop Med Int Health. 2016 Mar;21(3):405-16</Citation><ArticleIdList><ArticleId IdType="pubmed">26729021</ArticleId></ArticleIdList></Reference><Reference><Citation>J Clin Med. 2020 Apr 16;9(4):</Citation><ArticleIdList><ArticleId IdType="pubmed">32316118</ArticleId></ArticleIdList></Reference><Reference><Citation>JAMA. 2020 May 26;323(20):2052-2059</Citation><ArticleIdList><ArticleId IdType="pubmed">32320003</ArticleId></ArticleIdList></Reference><Reference><Citation>N Engl J Med. 2020 Jul 16;383(3):e11</Citation><ArticleIdList><ArticleId IdType="pubmed">32302075</ArticleId></ArticleIdList></Reference><Reference><Citation>Lancet Infect Dis. 2020 Jun;20(6):669-677</Citation><ArticleIdList><ArticleId IdType="pubmed">32240634</ArticleId></ArticleIdList></Reference><Reference><Citation>J Trop Pediatr. 2018 Apr 1;64(2):97-103</Citation><ArticleIdList><ArticleId IdType="pubmed">28486654</ArticleId></ArticleIdList></Reference><Reference><Citation>Diabetes Metab Syndr. 2020 Jul - Aug;14(4):395-403</Citation><ArticleIdList><ArticleId IdType="pubmed">32334395</ArticleId></ArticleIdList></Reference><Reference><Citation>Lancet. 2020 Apr 18;395(10232):1253-1254</Citation><ArticleIdList><ArticleId IdType="pubmed">32246914</ArticleId></ArticleIdList></Reference><Reference><Citation>J Med Virol. 2020 Jul;92(7):731-739</Citation><ArticleIdList><ArticleId IdType="pubmed">32219871</ArticleId></ArticleIdList></Reference><Reference><Citation>Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Apr 10;41(4):476-479</Citation><ArticleIdList><ArticleId IdType="pubmed">32125128</ArticleId></ArticleIdList></Reference><Reference><Citation>Sci Total Environ. 2020 Jul 10;725:138539</Citation><ArticleIdList><ArticleId IdType="pubmed">32304973</ArticleId></ArticleIdList></Reference><Reference><Citation>Pediatr Pulmonol. 2020 Apr;55(4):1043-1049</Citation><ArticleIdList><ArticleId IdType="pubmed">32040889</ArticleId></ArticleIdList></Reference><Reference><Citation>Health Secur. 2020 May/Jun;18(3):237-240</Citation><ArticleIdList><ArticleId IdType="pubmed">32320327</ArticleId></ArticleIdList></Reference><Reference><Citation>Nature. 2020 Apr;580(7804):446-447</Citation><ArticleIdList><ArticleId IdType="pubmed">32265541</ArticleId></ArticleIdList></Reference><Reference><Citation>J Microbiol Immunol Infect. 2020 Jun;53(3):396-403</Citation><ArticleIdList><ArticleId IdType="pubmed">32305271</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Danemark</li><li>Ouganda</li><li>États-Unis</li></country><region><li>Hovedstaden</li><li>Washington (État)</li></region><settlement><li>Copenhague</li></settlement></list><tree><country name="États-Unis"><region name="Washington (État)"><name sortKey="Bell, David" sort="Bell, David" uniqKey="Bell D" first="David" last="Bell">David Bell</name></region></country><country name="Danemark"><region name="Hovedstaden"><name sortKey="Hansen, Kristian Schultz" sort="Hansen, Kristian Schultz" uniqKey="Hansen K" first="Kristian Schultz" last="Hansen">Kristian Schultz Hansen</name></region></country><country name="Ouganda"><noRegion><name sortKey="Kiragga, Agnes N" sort="Kiragga, Agnes N" uniqKey="Kiragga A" first="Agnes N" last="Kiragga">Agnes N. Kiragga</name></noRegion><name sortKey="Kambugu, Andrew" sort="Kambugu, Andrew" uniqKey="Kambugu A" first="Andrew" last="Kambugu">Andrew Kambugu</name><name sortKey="Kissa, John" sort="Kissa, John" uniqKey="Kissa J" first="John" last="Kissa">John Kissa</name><name sortKey="Mbonye, Anthony K" sort="Mbonye, Anthony K" uniqKey="Mbonye A" first="Anthony K" last="Mbonye">Anthony K. Mbonye</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/LockdownV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001296 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001296 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= LockdownV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:32705975
|texte= Predicting the Impact of COVID-19 and the Potential Impact of the Public Health Response on Disease Burden in Uganda.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:32705975" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a LockdownV1
| This area was generated with Dilib version V0.6.38. |  |