Skip to content
DataForImpactProject
  • Facebook Icon
  • X Logo
  • Data for Impact (D4I) Youtube Channel
  • linkedin logo design
  • Home
  • About Us
    • The Data for Impact Team
    • Work with Us
  • Our Work
    • StoryMap
    • Generate Evidence
      • Using Routine Data in Evaluations
    • Strengthen Local Capacity
    • Ensure Data Quality
    • Integrate Gender
    • Promote Data Use
    • Learn
  • Activities
    • Behavioral Interventions for Evidence Use
    • Children in Adversity
    • Small Grants Program
    • Qualitative Assessment of High Impact Practices (HIPs) in Family Planning
    • Thematic evaluation of family planning strategic transitions
    • Using Routine Data in Evaluations
  • Countries
    • Afghanistan
    • Armenia
    • Bangladesh
    • Benin
    • Botswana
    • Burkina Faso
    • Burundi
    • Cambodia
    • Colombia
    • Côte d’Ivoire
    • Democratic Republic of the Congo (DRC)
    • Ethiopia
    • Ghana
    • Honduras
    • Indonesia
    • Kenya
    • Madagascar
    • Malawi
    • Mali
    • Moldova
    • Morocco
    • Mozambique
    • Nepal
    • Niger
    • Nigeria
    • Peru
    • Philippines
    • Rwanda
    • South Africa
    • Tanzania
    • Togo
    • Uganda
    • Zambia
    • Zimbabwe
  • Resources
    • Publications
    • Webinars
    • Blog
    • Datasets
    • News
    • Newsletter
    • Tools
    • Videos
    • Family Planning and Reproductive Health Indicators Database
    • EWEN-MINSMI & EN-MINI Tools
    • Research and Evaluation Capacity Assessment Tool and Resource Package
    • Private Sector Engagement Self-Assessment Monitoring Tool
    • For Missions
Resources > Publications > COVID-19

Book Tag: COVID-19



Default Image

Effect of COVID-19 on Health Services Use in Bangladesh and Uganda (Dataset)

Author(s): Data for Impact (University of North Carolina at Chapel Hill), Ministry of Health and Family Welfare (Government of Bangladesh), Ministry of Health (Republic of Uganda)
Year: 2022
Filed under: Bangladesh, COVID-19, Dataset, Health Services, Uganda

Default Image

Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems

Author(s): Gustavo Angeles, Hannah Silverstein, Karar Zunaid Ahsan, Mohammad Golam Kibria, Nibras Ar Rakib, Gabriela Escudero, Kavita Singh, Jamiru Mpiima, Elizabeth Simmons, William Weiss
Year: 2023
Filed under: Bangladesh, COVID-19, journal article, Routine Health Information Systems, Uganda

Default Image

Area-specific COVID-19 effects on health services utilization in the Democratic Republic of the Congo using routine health information system data

Author(s): Gustavo Angeles, Hannah Silverstein, Matt Worges, David R. Hotchkiss, Janna M. Wisniewski, Paul Samson Lusamba Dikassa, William Weiss & Karar Zunaid Ahsan
Year: 2023
Filed under: COVID-19, Democratic Republic of Congo, DRC, journal article, Routine Health Information Systems

Default Image

Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems

Author(s): Gustavo Angeles, Hannah Silverstein, Karar Zunaid Ahsan, Mohammad Golam Kibria, Nibras Ar Rakib, Gabriela Escudero, Kavita Singh, Jamiru Mpiima, Elizabeth Simmons, William Weiss
Year: 2023
Filed under: Bangladesh, COVID-19, journal article, Routine Health Information Systems, Uganda

Default Image

Appraisal of Family Planning Commodities Management during the COVID-19 Crisis in Gandaki Province, Nepal

Author(s): Isha Karmacharya, MPH; Santosh Khadka, MPH; Laxmi Adhikari, MPH; Maheshor Kaphle, MPH
Year: 2022
Filed under: COVID-19, Family Planning, Nepal, Small Grants, working paper

Default Image

Impact de la pandémie de COVID-19 Évaluation de mi-parcours du programme de santé intégré de l’USAID: Résultats des enquêtes de 2019 et 2021 sur les établissements de santé

Author(s): Data for Impact
Year: 2022
Filed under: COVID-19, DRC, Evaluation, French, Health System

Default Image

Estimating the Effects of COVID-19 on Immunization Services Use in Bangladesh

Author(s): Gustavo Angeles, Hannah Silverstein, Karar Zunaid Ahsan, Mohammad Kibria, Nibras Ar Rakib, Gabriela Escudero
Year: 2021
Filed under: Bangladesh, COVID-19, Health Services, RHIS

Default Image

Estimating the Effects of COVID-19 on Health Service Utilization in Uganda

Author(s): Gustavo Angeles, Hannah Silverstein, Kavita Singh, Jamiru Mpiima, and Elizabeth Simmons
Year: 2021
Filed under: Brief, COVID-19, Data use, Health Services, RHIS, Uganda

Default Image

Estimating National and Area-Specific COVID-19 Effects on Health Service Use in the Democratic Republic of the Congo

Author(s): Gustavo Angeles, Hannah Silverstein, Matthew Worges, David Hotchkiss, and Janna Wisniewski
Year: 2021
Filed under: Brief, COVID-19, Data use, DRC, Health Services, RHIS

Default Image

Estimating the effect of COVID-19 on utilization of health services in the DRC and Bangladesh: Technical note

Author(s): Data for Impact
Year: 2021
Filed under: Bangladesh, COVID-19, DRC, Health Services, RHIS


Posts navigation

1 2

D4I@unc.edu
www.data4impactproject.org
Sign up here to receive D4I emails and the Monitor newsletter.

This website was produced with the support of the United States Agency for International Development (USAID) under the terms of the Data for Impact (D4I) associate award 7200AA18LA00008, which is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership with Palladium International, LLC; ICF Macro, Inc.; John Snow, Inc.; and Tulane University. The views expressed in this website do not necessarily reflect the views of USAID or the United States government.

University of North Carolina at Chapel Hill
123 West Franklin Street, Suite 330
Chapel Hill, North Carolina 27516 USA

Phone: 919-445-9350 | Fax: 919-445-9353

Staff-only intranet
Translation Disclaimer

Data for Impact (D4I) is funded by the United States Agency for International Development (USAID) under the terms of the D4I associate award 7200AA18LA00008, which is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership with Palladium International, LLC; ICF Macro, Inc.; John Snow, Inc.; and Tulane University. The views expressed in this website do not necessarily reflect the views of USAID or the United States government.
Theme: Stucco by icyNETS.