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Regional differences in the epidemic cannot therefore be further assessed.
A special study on socioeconomic factors attached to the national survey further disclosed that the differences in the epidemic of TB mainly originated from the economic inequalities among the 4 zones.
Results in Figure 5B show that the differences in the epidemic size tend to be stable from North to South, and to decrease with increasing population size and increased airport traffic.
An open question is how small the size of networks can be for significant differences in the epidemic threshold among network structures to be present (for a given number of network replicates).
The higher transmission rate observed during the fall pandemic wave compared with the spring wave (inferred from differences in the epidemic growth rate) was expected and is consistent with the seasonal trend in transmission rates that was observed for seasonal influenza (21).
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Early in the HIV epidemic, surveillance experts recognized that there were differences in the HIV epidemic between the urban and the rural areas [ 5, 6].
Given the high spatial definition of both models, it is possible to further investigate differences in the observed epidemic patterns by looking at the results obtained in different spatial regions of Italy.
The only difference is in the epidemic model that an individual who becomes infected is first Exposed (or latent) for an exponentially distributed time with rate ν (unless it dies before this) before turning infectious.
"And it is the correct combination of messages and channels that will make the difference in bringing the epidemic under control".
Since Ro is a fundamental concept in explaining the emergence and persistence of epidemics, we next determined whether these GRG-dependent differences in Ro might also translate into differences in the rate of epidemic growth (the number of new infected cases per unit of time) in partner-pair population groups categorized based on their CCL3L1-CCR5 GRG status (Figure 2c).
To test the existence of such pattern, we have first quantified the similarity between time series of each locality through (i) the Euclidean distance at each time step of the whole time series and (ii) the differences in the timing of the epidemic peak (the week when the locality has reached its maximal incidence rate).
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