| Literature DB >> 35910062 |
Tonia Chinyelu Onyeka1,2, Ijeoma Uchenna Itanyi2,3, Hilary Uchenna Ezugwu4, Matthew Allsop5.
Abstract
Introduction: the coronavirus pandemic and associated lockdowns restricted movement with non-essential hospital trips discouraged to prevent spread of the virus. Disruption of medical services can lead to increased seeking of medical advice and symptom management online. With COVID-19 known to worsen existing cardiovascular disease or precipitate a new one, we sought to explore online search trends of the Nigerian public regarding cardiac events before and during the COVID-19 pandemic.Entities:
Keywords: Cardiac arrest; Google; health promotion; heart arrest; heart attack
Mesh:
Year: 2022 PMID: 35910062 PMCID: PMC9288149 DOI: 10.11604/pamj.2022.42.22.34249
Source DB: PubMed Journal: Pan Afr Med J
Figure 1maximum monthly RSVs for 2019 and 2020
Figure 2time-series plot of daily relative search volumes for 2020
Figure 3time-series plot of daily relative search volumes for 2019
Google Trends™ search results by state for 2019 and 2020
| Search term | 2019 | 2020 | ||
|---|---|---|---|---|
|
|
|
|
| |
| Cardiac arrest | Osun | 100 | Ogun | 100 |
| Akwa Ibom | 82 | Oyo | 94 | |
| Kaduna | 79 | Osun | 85 | |
| Anambra | 62 | Kaduna | 85 | |
| Edo | 43 | Akwa Ibom | 71 | |
| Rivers | 39 | Anambra | 67 | |
| Oyo | 27 | Kwara | 61 | |
| Federal capital territory | 16 | Imo | 61 | |
| Lagos | 14 | Delta | 60 | |
| Lagos | 52 | |||
| Enugu | 48 | |||
| Edo | 43 | |||
| Federal capital territory | 40 | |||
| Rivers | 24 | |||
|
|
|
|
| |
| Heart attack | Delta | 100 | Anambra | 100 |
| Oyo | 91 | Ogun | 75 | |
| Ogun | 71 | Oyo | 74 | |
| Federal capital territory | 57 | Delta | 72 | |
| Lagos | 53 | Lagos | 62 | |
| Rivers | 44 | Federal capital territory | 61 | |
| Edo | 43 | Rivers | 59 | |
| Edo | 48 | |||
RSV: relative search volume
differences in relative search volume of search terms in 2019 and 2020
| Variable | Rank sum | Z | P-value |
|---|---|---|---|
|
| |||
| 2019 | 47117.5 | 0.21 | 0.85 |
| 2020 | 46843.5 | ||
|
| |||
| 2019 | 35754 | -8.57 | <0.001 |
| 2020 | 58207 | ||
|
| |||
| 2019 | 44926 | -2.82 | 0.01 |
| 2020 | 49035 |
correlation of different search terms
| Search terms | Tau a | Tau b | P-value |
|---|---|---|---|
| Cardiac arrest and heart attack | -0.0083 | -0.0104 | 0.78 |
| Cardiac arrest and heart arrest | 0.0596 | 0.1636 | <0.001 |
| Heart attack and heart arrest | 0.0424 | 0.0985 | 0.01 |
correlation of searches by year (2019 and 2020)
| Variable | Tau a | Tau b | P-value |
|---|---|---|---|
| Cardiac arrest | -0.0052 | -0.0090 | 0.84 |
| Heart attack | 0.2377 | 0.3457 | <0.001 |
| Heart arrest | 0.0416 | 0.1335 | 0.01 |