COVID19NCT04757870
Macro-scale Estimators of Covid-19's Worldwide Cases and Deaths
An observational study of COVID19, run by Dr. Servet Akar.
Trial summary
In this study, investigators try to estimate Covid-19 Cases and Deaths using countrywide annual macro-scale indicators (i.e., estimators) such as non-communicable disease data from WHO (who. Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- COVID19
- What is being tested?
- frequency
- How many people
- 1,790 participants
- Where
- No sites listed yet
- Study dates
- 1 Mar 2021to 31 Dec 2021
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Study population: COVID19 cases
Who may be able to join
- All recorded cases by the authority
Who cannot join
- None
About this study
Official title: Determination of the Macro Scale Risk Factors in COVID19 Occurrence and Mortality
In this study, investigators try to estimate Covid-19 Cases and Deaths using countrywide annual macro-scale indicators (i.e., estimators) such as non-communicable disease data from WHO (who. int), social and economical indicators from UN (un.org) and Worldbank (worldbank.org), and Covid-19 Cases and Deaths from Worldometer (https://www.worldometers.info).
Read the detailed description
There are some known risk factors for the emergence and mortality of Covid-19 cases. There are also some regulations and recommendations by healthcare executives and government officers such as wearing masks, social distance, staying at home, lockdowns, and so forth. On the other hand, there could be other social, economic, and health-related factors in the society level that discriminate between countries significantly in terms of having considerable differences regarding both the frequency and mortality of Covid-19. The aim of the present study is to find out these social, economic, and health-related factors that could explain some significant portion of Covid-19 cases and deaths worldwide.
This study involves 171 countries of which required datasets are commonly available in the UN, Worldometer, and WHO. The investigators will obtain macro-scale indicators like non-communicable disease data from WHO (who. int), social and economical indicators from UN (un.org) and Worldbank (worldbank.org), and Covid-19 data from Worldometer (https://www.worldometers.info).
The investigators will conduct statistical data analysis and create predictive models in order to determine indicators. The investigators will also consider that possible different models for explaining Covid-19 Cases and mortality in both common and different estimators could explain the variations in countrywide deaths and cases.
- Conditions
- COVID19
- Being tested
- frequency
- Medical subject headings
- COVID-19
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
frequencyOther
Also called Demographic, geographic, health related factors etc
Macro-scale risk factors for the frequency of and mortality of infection
What is being measured
The primary outcome is the main question the study is designed to answer.
Occurence
The frequency of infection according to publicly available data
Measured: december 2020
Secondary outcomes (1)
Mortality
The mortality of infection according to publicly available data
Measured: december 2020
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 Feb 2021
- Study start1 Mar 2021 (estimated)
- Primary completion30 Jun 2021 (estimated)
- Study completion31 Dec 2021 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for COVID19Studies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Other
- Enrolment
- 1,790 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Dr. Servet Akar
- Sponsor type
- University, hospital or other
- Collaborators
- Dokuz Eylul University, Hacettepe University
- Responsible party
- Sponsor-investigator, Dr. Servet Akar, Izmir Katip Celebi University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04757870
- Sponsor's protocol ID
- KCU_16022021
- Status last verified
- Feb 2021
- First submitted
- 16 Feb 2021
- Last updated
- 18 Feb 2021
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: During or after publication all the data could be share
Study at a glance
From the registry record, last updated by the sponsor on 18 Feb 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Determination of the Macro Scale Risk Factors in COVID19 Occurrence and Mortality
- ClinicalTrials.gov ID
- NCT04757870
- Acronym / sponsor ID
- KCU_16022021
- Conditions
- COVID19
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 1,790 participants (estimated)
- Lead sponsor
- Dr. Servet AkarUniversity, hospital or other
- Collaborators
- Dokuz Eylul University, Hacettepe University
- Study start
- 1 Mar 2021 (estimated)
- Primary completion
- 30 Jun 2021 (estimated)
- Study completion
- 31 Dec 2021 (estimated)
- First posted
- 17 Feb 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
In this study, investigators try to estimate Covid-19 Cases and Deaths using countrywide annual macro-scale indicators (i.e., estimators) such as non-communicable disease data from WHO (who. int), social and economical indicators from UN (un.org) and Worldbank (worldbank.org), and Covid-19 Cases and Deaths from Worldometer (https://www.worldometers.info).
Detailed description
There are some known risk factors for the emergence and mortality of Covid-19 cases. There are also some regulations and recommendations by healthcare executives and government officers such as wearing masks, social distance, staying at home, lockdowns, and so forth. On the other hand, there could be other social, economic, and health-related factors in the society level that discriminate between countries significantly in terms of having considerable differences regarding both the frequency and mortality of Covid-19. The aim of the present study is to find out these social, economic, and health-related factors that could explain some significant portion of Covid-19 cases and deaths worldwide.
This study involves 171 countries of which required datasets are commonly available in the UN, Worldometer, and WHO. The investigators will obtain macro-scale indicators like non-communicable disease data from WHO (who. int), social and economical indicators from UN (un.org) and Worldbank (worldbank.org), and Covid-19 data from Worldometer (https://www.worldometers.info).
The investigators will conduct statistical data analysis and create predictive models in order to determine indicators. The investigators will also consider that possible different models for explaining Covid-19 Cases and mortality in both common and different estimators could explain the variations in countrywide deaths and cases.
Study design
- Observational model
- Other
- Time perspective
- Other
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
- Study population
- COVID19 cases
Key inclusion criteria (1 listed)
- All recorded cases by the authority
Key exclusion criteria (1 listed)
- None
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| frequencyAlso: Demographic, geographic, health related factors etcMacro-scale risk factors for the frequency of and mortality of infection | Other | – |
Primary outcome
Occurence
Time frame: december 2020
The frequency of infection according to publicly available data
1 secondary outcome
Mortality
Time frame: december 2020
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 18 Feb 2021.
- Individual participant dataSharing planned: Undecided. During or after publication all the data could be share
Related trials for COVID19
Not yet recruitingPhase 1
Phase I Open-Label Safety Trial of Pembrolizumab for Neurological Post- Acute Sequelae of SARS-CoV-2 (PD1-PASC I)
Post-Acute COVID-19 Syndrome
Active, not recruitingPhase 1
A Safety and Immunogenicity Trial of OCU500, ChAd36 Vector Encoding SARS-CoV-2 Spike Vaccine Via Intranasal and Inhalational Routes in Previously Vaccinated Adults
COVID-19
Active, not recruiting
Intervention to Address Disparate Mental Health Consequences of COVID-19 Pandemic on Latinx and African Newcomers
Mental Health Issue, Mental Health Disorder
Recruiting
Home-Based Exercise Tele-Rehabilitation After COVID-19
Post SARS-CoV2 (COVID-19)
Not yet recruitingPhase 1
A Safety, Reactogenicity and Immunogenicity Trial of RVX-sCPD9 Booster Intranasal COVID-19 Vaccine
COVID -19
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
An observational study of COVID19, run by Dr. Servet Akar.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 18 Feb 2021. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Occurence (time frame: december 2020). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 Feb 2021.