Browsing 2018 fellows by Subject "COVID-19"

Now showing items 1-3 of 3

    • Thumbnail

      Mitigating the impacts of the COVID-19 pandemic on vulnerable populations: Lessons for improving health and social equity 

      Tan, Si Ying; Foo, Chuan De; Verma, Monica; Hanvoravongchai, Piya; Cheh, Paul Li Jen; Pholpark, Aungsumalee; Marthias, Tiara; Hafidz, Firdaus; Putri, Likke Prawidya; Mahendradhata, Yodi; Giang, Kim Bao; Nachuk, Stefan; Wang, Hong; Lim, Jeremy; Legido-Quigley, Helena (2023-06-02)

      The COVID-19 pandemic had an inequitable and disproportionate impact on vulnerable populations, reversing decades of progress toward healthy populations and poverty alleviation. This study examines various programmatic tools and policy measures used by governments to support vulnerable populations during the pandemic. A comparative case study of 15 countries representing all World Health Organization's regions offers a comprehensive picture of countries with varying income statuses, health system arrangements and COVID-19 public health measures. ...
    • Thumbnail

      Socio-demographic and geographic disparities of population-level food insecurity during the COVID-19 pandemic in Thailand 

      Phulkerd, Sirinya; Thongcharoenchupong, Natjera; Chamratrithirong, Aphichat; Gray, Rossarin Soottipong; Pattaravanich, Umaporn; Ungchusak, Chantana; Saonuam, Pairoj (2023-01-13)

      Introduction: This study investigated the prevalence of food insecurity, and the association between socio-demographic and geographic factors and food insecurity in Thailand during the COVID-19 pandemic. Methods: The study extracted data on 5,066 persons age 15 years or older from a nationally-representative sample survey of Thai households, conducted during June-December 2021. The respondents were asked about food insecurity, socio-demographic characteristics, debt, and role of the primary household food provider. Binary logistic regression ...
    • Thumbnail

      Tracking health system performance in times of crisis using routine health data: lessons learned from a multicountry consortium 

      Turcotte-Tremblay, Anne-Marie; Leerapan, Borwornsom; Akweongo, Patricia; Amponsah, Freddie; Aryal, Amit; Asai, Daisuke; Awoonor-Williams, John Koku; Ayele, Wondimu; Bauhoff, Sebastian; Doubova, Svetlana V.; Gadeka, Dominic Dormenyo; Dulal, Mahesh; Gage, Anna; Gordon-Strachan, Georgiana; Haile-Mariam, Damen; Joseph, Jean Paul; Kaewkamjornchai, Phanuwich; Kapoor, Neena R.; Gelaw, Solomon Kassahun; Kim, Min Kyung; Kruk, Margaret E.; Kubota, Shogo; Margozzini, Paula; Mehata, Suresh; Mthethwa, Londiwe; Nega, Adiam; Oh, Juhwan; Park, Soo Kyung; Passi-Solar, Alvaro; Cuevas, Ricardo Enrique Perez; Reddy, Tarylee; Rittiphairoj, Thanitsara; Sapag, Jaime C.; Thermidor, Roody; Tlou, Boikhutso; Arsenault, Catherine (2023-01-31)

      COVID-19 has prompted the use of readily available administrative data to track health system performance in times of crisis and to monitor disruptions in essential healthcare services. In this commentary we describe our experience working with these data and lessons learned across countries. Since April 2020, the Quality Evidence for Health System Transformation (QuEST) network has used administrative data and routine health information systems (RHIS) to assess health system performance during COVID-19 in Chile, Ethiopia, Ghana, Haiti, Lao ...