Evidence map›Paper›PMID 33296578›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2020

Anticipating the Need for Healthcare Resources Following the Escalation of the COVID-19 Outbreak in the Republic of Kazakhstan.

Yuliya Semenova, Lyudmila Pivina, Zaituna Khismetova, Ardak Auyezova, Ardak Nurbakyt, Almagul Kauysheva, Dinara Ospanova, Gulmira Kuziyeva, Altynshash Kushkarova, Alexandr Ivankov and 1 more

Abstract read
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  4. Frequency and patterns of CMF emergency cases during and after COVID-19.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
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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

11 authors.

Yuliya SemenovaDepartment of Neurology, Ophthalmology and Otolaryngology, Semey Medical University, Semey, Kazakhstan.
Lyudmila PivinaDepartment of Internal Medicine, Semey Medical University, Semey, Kazakhstan.
Zaituna KhismetovaDepartment of Public Health, Semey Medical University, Semey, Kazakhstan.
Ardak AuyezovaHead Office, Kazakhstan Medical University Higher School of Public Health, Almaty, Kazakhstan.
Ardak NurbakytDepartment of Epidemiology, Evidence Medicine and Biostatistics, Kazakhstan Medical University Higher School of Public Health, Almaty, Kazakhstan.
Almagul KauyshevaDepartment of Research and International Affairs Kazakhstan Medical University Higher School of Public Health, Almaty, Kazakhstan.
Dinara OspanovaDepartment of Public Health, Kazakh Medical University of Continuing Education, Almaty, Kazakhstan.
Gulmira KuziyevaDepartment of Epidemiology, Biostatistics and Evidence-Based Medicine, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Altynshash KushkarovaMedical College, South Kazakhstan Medical Academy, Shymkent, Kazakhstan.
Alexandr IvankovDepartment of Postgraduate Education, Kazakh Medical University of Continuing Education, Almaty, Kazakhstan.
Natalya GlushkovaDepartment of Epidemiology, Evidence Medicine and Biostatistics, Kazakhstan Medical University Higher School of Public Health, Almaty, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe lack of advance planning in a public health emergency can lead to wasted resources and inadvertent loss of lives. This study is aimed at forecasting the needs for healthcare resources following the expansion of the coronavirus disease 2019 (COVID-19) outbreak in the Republic of Kazakhstan, focusing on hospital beds, equipment, and the professional workforce in light of the developing epidemiological situation and the data on resources currently available.

methodsWe constructed a forecast model of the epidemiological scenario via the classic susceptible-exposed-infected-removed (SEIR) approach. The World Health Organization's COVID-19 Essential Supplies Forecasting Tool was used to evaluate the healthcare resources needed for the next 12 weeks.

resultsOver the forecast period, there will be 104 713.7 hospital admissions due to severe disease and 34 904.5 hospital admissions due to critical disease. This will require 47 247.7 beds for severe disease and 1929.9 beds for critical disease at the peak of the COVID-19 outbreak. There will also be high needs for all categories of healthcare workers and for both diagnostic and treatment equipment. Thus, Republic of Kazakhstan faces the need for a rapid increase in available healthcare resources and/or for finding ways to redistribute resources effectively.

conclusionsRepublic of Kazakhstan will be able to reduce the rates of infections and deaths among its population by developing and following a consistent strategy targeting COVID-19 in a number of inter-related directions.

Indexed as

Communicable Disease ControlCOVID-19Disease OutbreaksHealth PersonnelHospital Bed CapacityHumansIntensive Care UnitsKazakhstanPandemicsPatient Acceptance of Health CareCOVID-19Health resourcesNeeds assessmentRepublic of Kazakhstan

Identifiers

PMID33296578
PMCPMC7733753

What OpenQuestion holds

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LicenceCC BY-NC
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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.