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The number of community physicians who completed and returned the questionnaire was considered as the denominator for all proportion calculations.
We calculated standard errors for all proportion data according to the following formula: SE = square root [ p*(1 − p)/ n], where p is the proportion of females remating and n is the number of trials in that particular test.
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Positive correlation between local abundances was found for all proportions of hosts dispersing.
We also calculated 95% confidence intervals for all proportions.
We estimated 95% CIs for all proportions by using the Clopper-Pearson exact binomial method.
For all proportions, we calculated 95% confidence limits using the Wilson Score method.
Chi-squared testing was performed for all proportions, and Student's t-test was used for all means.
Wald 95% confidence intervals were calculated for all proportions of AIV infections (i.e., sex, age, species).
We used the Wilson's score method to calculate 95% confidence intervals (95% CI) for all proportions [ 26].
For all proportions obtained, confidence intervals set at 95% level of significance were computed using binomial exact distribution.
For all proportions, statistical significance was calculated using the z-test, whereas for averages the two-tailed Student t-test was used.
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