ArticleThe Pan African medical journal2021
Digital technologies and COVID-19: reconsidering lockdown exit strategies for Africa.
Article in The Pan African medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 23 citations in OpenAlex.
- Harnessing digital technology for COVID-19 response in Uganda: lessons and implications for future public health emergencies.BMJ global health · 2023Review
- Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review.Global health journal (Amsterdam, Netherlands) · 2022Review
- Maternal, Sexual and Reproductive Health in Marginalised Areas: Renewing Community Involvement Strategies beyond the Worst of the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Are we there yet? Unbundling the potential adoption and integration of telemedicine to improve virtual healthcare services in African health systems.Sensors international · 2022Article
- Identifying and addressing digital health risks associated with emergency pandemic response: Problem identification, scoping review, and directions toward evidence-based evaluation.International journal of medical informatics · 2022Article
- Ethics for integrating emerging technologies to contain COVID-19 in Zimbabwe.Human behavior and emerging technologies · 2021Article
- Utility of telemedicine in sub-Saharan Africa during the COVID-19 pandemic. A rapid review.Human behavior and emerging technologies · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Widespread vaccination provides a means for countries to lift strict COVID-19 restrictions previously imposed to contain the spread of the disease. However, to date, Africa has secured enough COVID-19 vaccine doses for less than 5% of its population. With widespread vaccination not on the horizon for Africa, there is a strong emphasis on non-pharmaceutical interventions which include movement restrictions (lockdowns). This general COVID-19 pandemic response of imposing lockdowns, however, neglects to factor in non-fatal consequences leading to disruption socio-economic wellbeing of the society at large. The economy in most African countries can no longer sustain lockdown restrictions. Some studies have indicated that a hard lockdown statistical value of the extra lives saved would be dwarfed by its long-term cost. At the same time not responding to the threat of the pandemic will cost lives and disrupts the social fabric. This paper proffers ways to mitigate the both and advocate for better policymaking that addresses specific challenges in defined communities thus yield higher population welfare.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.