Covid 19 Pandemic By Country

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April 10, 2026

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April 10, 2026

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"In the current pandemic, epidemiologists and public health officials have strongly encouraged people to physically distance from one another. Numerous studies have shown that physical distancing effectively stopped the exponential spread of COVID-19 at its onset, preventing the inundation of healthcare providers and saving numerous lives. To determine whether physical distancing differs as a function of partisanship, we examined whether the political leaning of over 3,000 counties in the United States is linked to the extent to which residents of those counties practised physical distancing behaviours during the first few months of the pandemic (March–May 2020). Specifically, we analysed the aggregated Global Positioning System (GPS) coordinates of approximately 15 million people across the United States per day (tracked via smartphone location coordinates) to quantify the degree of physical distancing in each US county. Physical distancing was measured in terms of reduction in general movement and reduction in visiting non-essential services (for example, restaurants). Furthermore, to examine the association between party identity and public health, we tested whether partisan differences in physical distancing mediate the relationship between partisanship and COVID-19 infection and fatality growth rates. Critically, in testing these questions we anticipated that what could appear to be partisan differences in physical distancing may actually reflect social or economic third variables. For instance, liberal areas in the United States experienced higher levels of COVID-19 infections and fatalities at the start of the pandemic (early March 2020) and thus may have perceived COVID-19 as more dangerous and engaged in greater preventative measures. To account for this and other possible explanations, we included numerous covariates in our models when testing partisan differences in physical distancing and health outcomes."

- COVID-19 pandemic in the United States

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"We found that the more a county favoured Donald Trump over Hillary Clinton in the 2016 election, the less that county exhibited physical distancing between 9 March and 29 May 2020. Specifically, for every 1 percentage point increase in vote share for Donald Trump over Hillary Clinton, counties exhibited 0.11 percentage points less physical distancing in terms of reducing their general movement and 0.13 percentage points less physical distancing in terms of reducing their visiting of non-essential services. Model marginal R2 was 0.46 for the movement model and 0.54 for the visitation model. Collapsing counties into pro-Trump versus pro-Clinton bins, Trump-voting counties reduced their general movement 9.5 percentage points less and reduced their visiting of non-essential services 19.4 percentage points less than Clinton-voting counties (average reduction, 14.5 percentage points) across the study duration. Illustrating the relative power of the observed links, partisanship was more strongly associated with physical distancing in our main models (when z-scoring all the included variables) than any of the other included variables (aside from the time terms, the weekend factor, and median age in the case of visitation). To put this into context, partisanship was more strongly associated with distancing than counties’ number of COVID-19 cases per capita, median income, percentage employment, average travel time to work, governor political affiliation, and racial make-up, as well as the other variables noted above. Additionally demonstrating the robustness of our findings, partisanship was associated with reduced physical distancing even after adjusting for the interactions between each of the included covariates and partisanship, when including in the analyses counties’ percentage of employment in various types of profession, when adding specific state policies to the analyses."

- COVID-19 pandemic in the United States

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"Possibly, local stay-at-home policies attenuate the observed partisan differences in physical distancing because these policies send out clear signals about the dangers of COVID-19. In line with this reasoning, we predicted that state-level stay-at-home orders would potentially reduce the observed partisan differences. Our data did not support this prediction. The link between voting for Trump and reduced physical distancing was actually stronger when stay-at-home orders were in effect, as evidenced by negative interactions between vote gap (with higher values indicating greater pro-Trump lean) and state policy: Bmovement = −0.017, 95% CI [−0.022, −0.013], P < 0.001 and Bvisitation = −0.009, 95% CI [−0.016, −0.001], P = 0.030. These results align with recent work finding that Democratic counties responded more quickly to stay-at-home orders than Republican counties at the start of the pandemic. We considered the possibility that variability in state stay-at-home policies explains our findings rather than county-level partisanship. For instance, stay-at-home orders may have been more stringent and remained in place longer in Democratic states or in states with Democratic governors, in turn leading Republican-leaning counties (which are more common in Republican states) to exhibit less physical distancing. Three supplementary analyses argued against this possibility, however. First, our results remained when adjusting for whether state policies were in effect on a specific date, state governors’ political affiliation, and interactions between these variables and partisanship. Second, we also confirmed that our results remained when adding specific state policies (including closing restaurants, closing childcare, closing K–12 schools, closing non-essential business more generally, and closing religious institutions/gatherings), and the interactions between these policies and governor political party and partisanship, to our models. And third, while there was some variation in our findings between states, most states were in line with the population average of the observed partisan differences. In sum, though differences in state policies contribute to variation in county-level physical distancing, our results indicate that county-level partisanship nonetheless explains unique variance in physical distancing."

- COVID-19 pandemic in the United States

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"We also linked the observed partisan differences in physical distancing to COVID-19 infections and fatalities. Mediation analyses revealed that reduced physical distancing in counties was linked to a subsequent increase in COVID-19 infection and fatality growth rates roughly 17–23 and 25–31 days later, respectively. These results imply that Trump-leaning counties could have curbed their infection and fatality growth rates if they had distanced to the same degree as Clinton-leaning counties did. Such findings provide evidence that partisanship in the United States during the COVID-19 pandemic may have had meaningful—and severe—health-related consequences. Partisanship may therefore be an important risk factor during a public health crisis, one that is probably especially relevant when the electorate is highly polarized and leaders fail to generate bipartisan support for public health measures. The observed partisan differences appear to be relatively strong as well as highly robust. Partisanship was more strongly associated with physical distancing than most of the covariates included in our models, including more traditionally examined health-related variables such as economic and social indicators. The relationship between partisanship and distancing also held after statistically adjusting for numerous control variables, and for interactions between partisanship and these control variables. The robustness of these findings is consistent with findings from independent research groups who have also observed links between partisanship and physical distancing using different data sources. Taken together, these findings provide a more complete picture of partisanship during a pandemic and establish it as an important risk factor for COVID-19 in the United States."

- COVID-19 pandemic in the United States

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"In our view, a more likely, albeit partial, explanation for the observed results is media polarization or a ‘broadcasting effect’. Republican-leaning media outlets appear to have downplayed the dangers of the coronavirus as compared to more Democratic outlets. For instance, in early March, Fox News repeatedly claimed that the coronavirus was less dangerous than influenza and even referred to other media reports as a hoax (although some commentators took it more seriously than others, and the organization took the pandemic more seriously by mid-March 2020). Consistent with this messaging about COVID-19, we found that US counties that consumed more Fox News than Democratic-leaning outlets (MSNBC and CNN) exhibited less physical distancing. These findings also remained significant when controlling for counties’ partisanship in terms of 2016 voting. These results, along with self-report data indicating similar findings and evidence indicating a causal link between Fox News viewership and decreased social distancing, suggest that Republican-leaning media downplaying the virus at the start of the pandemic may have signalled to Republicans that they should not take the virus very seriously, in turn potentially in part causing the observed partisan differences. This possibility underscores the importance of considering communication and mass media when designing public health messaging."

- COVID-19 pandemic in the United States

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"I've seen that report in the papers this morning. And I know that HHS is making inquiries. But we believe those issues were resolved on that particular test by early February. But it's important for your viewers to know that that test, the slow lab-based test that is typical for CDC and public health labs would never have been able to meet the needs of testing in this coronavirus epidemic. That's why President Trump was so right when he brought together these commercial labs and formed a consortium. And literally took us from -- at that time in February we had done some 20,000 tests total across the country. Now we've done more than four million and we believe we'll have done more than five million tests before the end of this month. None of that would have been possible without the president's leadership, without the innovation, without the incredible efforts of companies like Roche and Avid Laboratories. And the American people can be confident that whether it is supplies, whether it is testing, we're going to continue to make sure that our governors, our state health care officials and most especially our health care workers have the resources and the support they need. But I want the American people to know that sitting here this morning we really are seeing encouraging signs because of what the American people have done, we believe we are slowing the spread."

- COVID-19 pandemic in the United States

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