Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Results of leave out age analysis.

Domaine:

healthcare

Type de record:

datasetpaper
Créateur:
AmySakAndKyl
Hôte:avatar

Implications of the COVID-19 pandemic for both populations and healthcare systems are vast. In addition to morbidity and mortality from COVID-19, the pandemic also disrupted local health systems, including reductions or delays in routine vaccination services and catch-up vaccination campaigns. These disruptions could lead to outbreaks of other infectious diseases that result in an additional burden of disease and strain on the healthcare system. We evaluated the impact of the COVID-19 pandemic on Zambia’s routine childhood immunization program in 2020 using multiple sources of data. We relied on administrative vaccination data and Zambia’s 2018 Demographic and Health Survey to project national disruptions to district-specific routine childhood vaccination coverage within the pandemic year 2020. Next, we leveraged a 2016 population-based serological survey to predict age-specific measles seroprevalence and assessed the impact of changes in vaccination coverage on measles outbreak risk in each district. We found minor disruptions to routine administration of measles-rubella and pentavalent vaccines in 2020. This was in part due to Zambia’s Child Health Week held in June of 2020 which helped to reach children missed during the first six months of the year. We estimated that the two-month delay in a measles-rubella vaccination campaign, originally planned for September of 2020 but conducted in November of 2020 as a result of the pandemic, had little impact on modeled district-specific measles outbreak risks. This study estimated minimal increases in the number of children missed by vaccination services in Zambia during 2020. However, the ongoing SARS-CoV-2 transmission since our analysis concluded means efforts to maintain routine immunization services and minimize the risk of measles outbreaks will continue to be critical. The methodological framework developed in this analysis relied on routinely collected data to estimate disruptions of the COVID-19 pandemic to national routine vaccination program performance and its impact on children missed at the subnational level can be deployed in other countries or for other vaccines.

Visit

figshare.com

Tags

MedicineBiotechnologyCancerScience PolicyInfectious DiseasesComputational BiologyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedxlink "> implicationsmethodological framework developed+36

Licenses

CC BY 4.0

Similaires

<p>Leave‑one‑out pooled PPM (%).</p>Nested leave-two-out cross-validation for the optimal crop yield model selectionANOVA Results Across Age Groups.Do Foundation Model Embeddings Improve Cross-Country Crop Yield Generalisation? A Leave-One-Country-Out Evaluation in Sub-Saharan AfricaChildren out of school (% of primary school age) | Africa (World Bank — Gender Statistics)Abdimajiid10/leave-management-system

<p>Leave‑one‑out pooled PPM (%).</p>

Background

Arboviruses including dengue, Zika, and chikungunya pose a growing health t

Nested leave-two-out cross-validation for the optimal crop yield model selection

International audience The use of statistical models to study the impact of weather o

ANOVA Results Across Age Groups.

This study addresses the escalating concern of Posttraumatic Stress Disorder (PTSD) among th

Do Foundation Model Embeddings Improve Cross-Country Crop Yield Generalisation? A Leave-One-Country-Out Evaluation in Sub-Saharan Africa

Accurate predictions of smallholder maize yields across national boundaries are critical for food se

Children out of school (% of primary school age) | Africa (World Bank — Gender Statistics)

🌍 1,324 observations · 53 Africa countries · 1970–2025 · Repackaged by Electric Sheep Africa This d

Abdimajiid10/leave-management-system

This is my leave management system I made during my industrial attachment period at Ministry of ICT