Sentence examples for pandemic timing from inspiring English sources

To explore pandemic timing and effect along a latitudinal gradient, we compiled geographic coordinates for province-level population centers.

We analyzed geographic variations in pandemic timing and severity across 24 provinces spanning the entire latitudinal gradient of Chile.

In contrast, there was a latitudinal gradient in peak pandemic timing, representing a 16-39-day 16-39-daysease activity from the southern regions relative to the northernmost region (P < 0.001).

We obtained 1915 population estimates [ 30] to calculate death rates and compiled latitude and longitude coordinates of the capital city of each province to explore pandemic timing across provinces.

Stepwise multivariate regression identified maximum temperature, specific humidity and latitude as the only significant predictors of regional pandemic peak timing (R = 68.5%, P = 0.01, Table 1), with earlier peak timing occurring in colder regions and at lower levels of specific humidity.

Figure  5 illustrates the districts arranged by quartile on the basis of four important characteristics of the pandemic timing, velocity, duration, and severity.

As one of the possible factors with impact on the course of the pandemic the timing of the school holidays was analysed.

Next, we assessed the role of climate conditions, demographic factors, and international connectivity patterns in driving geographical variations in pandemic peak timing.

We found a strong latitudinal gradient in pandemic peak timing identified from daily A/H1N1-positive SARI hospitalizations, with Southern regions experiencing earlier pandemic activity than Northern regions (Spearman rho = 0.80, P = 0.0002; Figure 2).

However, estimates of pandemic peak timing and excess deaths derived from refined death certificate data for the city of Concepción aligned with those derived from official all-cause mortality statistics for the broader province.

Geographical variation in pandemic peak timing was associated with differences in latitude and climatic conditions, with latitude, maximum temperature and specific humidity accounting for 69-80% of the variability.