Evidence map›Paper›PMID 34342301›Full record

ReviewCurrent opinion in infectious diseases2021

Policy and planning for large epidemics and pandemics - challenges and lessons learned from COVID-19.

Ashley Sharp, Vageesh Jain, Yewande Alimi, Daniel G Bausch

Abstract readReview
In one paragraph

Review in Current opinion in infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ashley SharpUK Public Health Rapid Support Team, Public Health England/London School of Hygiene & Tropical Medicine.
Vageesh JainInstitute for Global Health, University College London, London, UK.
Yewande AlimiAfrica Centres for Disease Control and Prevention, Addis Ababa, Ethiopia.
Daniel G BauschUK Public Health Rapid Support Team, Public Health England/London School of Hygiene & Tropical Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe COVID-19 pandemic is a global catastrophe that has led to untold suffering and death. Many previously identified policy challenges in planning for large epidemics and pandemics have been brought to the fore, and new ones have emerged. Here, we review key policy challenges and lessons learned from the COVID-19 pandemic in order to be better prepared for the future. RECENT

findingsThe most important challenges facing policymakers include financing outbreak preparedness and response in a complex political environment with limited resources, coordinating response efforts among a growing and diverse range of national and international actors, accurately assessing national outbreak preparedness, addressing the shortfall in the global health workforce, building surge capacity of both human and material resources, balancing investments in public health and curative services, building capacity for outbreak-related research and development, and reinforcing measures for infection prevention and control. SUMMARY: In recent years, numerous epidemics and pandemics have caused not only considerable loss of life, but billions of dollars of economic loss. The COVID-19 pandemic served as a wake-up call and led to the implementation of relevant policies and countermeasures. Nevertheless, many questions remain and much work to be done. Wise policies and approaches for outbreak control exist but will require the political will to implement them.

Indexed as

AnimalsCOVID-19Disease OutbreaksEpidemicsGlobal HealthHealth PolicyHealth WorkforceHumansPandemicsPublic Health

Identifiers

PMID34342301
PMCPMC8452318

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.