<p>Campylobacteriosis SARIMA (1, 0, 0) (2, 0, 0)<sub>12</sub> (A-C), salmonellosis SARIMA (1, 0, 0) (1, 0, 0)<sub>12</sub> (D-F), cryptosporidiosis SARIMA (1, 0, 0) (1, 0, 0)<sub>12</sub> (G-I), giardiasis SARIMA (1, 0, 0) (1, 0, 1)<sub>12</sub> (J-L). The x-axis gives the number of lags in months and the grey shaded areas represent the 95% confidence interval.</p
<p>SARIMA: Seasonal Autoregressive Integrated Moving Average model, AR: autoregressive, MA: moving a...
<p>The residuals were obtained after fitting with simulated prospective autoregressive integrated mo...
<p>Months and seasons shown refers to month/seasons of the northern hemisphere (i.e. January = month...
<p>Actual monthly incidence /100000 population (black line), rates predicted by the chosen SARIMA mo...
<p>The x-axis gives the number of lags in weeks and, the y-axis, the value of the correlation coeffi...
<p>A and B. ACF and PACF plots of original schistosomisis prevalence (1956–2008); C and D. ACF and P...
With the renewed drive towards malaria elimination, there is a need for improved surveillance tools....
<p>(a) Autocorrelation (ACF) plot of HFRS cases; (b) Partial ACF plot of HFRS cases; (c) SARIMA mode...
<p>(a) Mean value of Moran's Index computed on the 26 epidemics from the Sentinelles network, and (b...
Introduction: With the renewed drive towards malaria elimination, there is a need for improved surve...
INTRODUCTION: With the renewed drive towards malaria elimination, there is a need for improved surve...
Almost all spikes fell within the estimated 95% uncertainty bounds at varying lags apart from the co...
<p>Months and seasons shown refers to month/seasons of the northern hemisphere (i.e. January = month...
<p>The pre-vaccination (1971–1993) and post-vaccination (1994–2012) autocorrelation coefficients are...
Aim. To study the possibility of using mixed technique for predicting infectious morbidity based on ...
<p>SARIMA: Seasonal Autoregressive Integrated Moving Average model, AR: autoregressive, MA: moving a...
<p>The residuals were obtained after fitting with simulated prospective autoregressive integrated mo...
<p>Months and seasons shown refers to month/seasons of the northern hemisphere (i.e. January = month...
<p>Actual monthly incidence /100000 population (black line), rates predicted by the chosen SARIMA mo...
<p>The x-axis gives the number of lags in weeks and, the y-axis, the value of the correlation coeffi...
<p>A and B. ACF and PACF plots of original schistosomisis prevalence (1956–2008); C and D. ACF and P...
With the renewed drive towards malaria elimination, there is a need for improved surveillance tools....
<p>(a) Autocorrelation (ACF) plot of HFRS cases; (b) Partial ACF plot of HFRS cases; (c) SARIMA mode...
<p>(a) Mean value of Moran's Index computed on the 26 epidemics from the Sentinelles network, and (b...
Introduction: With the renewed drive towards malaria elimination, there is a need for improved surve...
INTRODUCTION: With the renewed drive towards malaria elimination, there is a need for improved surve...
Almost all spikes fell within the estimated 95% uncertainty bounds at varying lags apart from the co...
<p>Months and seasons shown refers to month/seasons of the northern hemisphere (i.e. January = month...
<p>The pre-vaccination (1971–1993) and post-vaccination (1994–2012) autocorrelation coefficients are...
Aim. To study the possibility of using mixed technique for predicting infectious morbidity based on ...
<p>SARIMA: Seasonal Autoregressive Integrated Moving Average model, AR: autoregressive, MA: moving a...
<p>The residuals were obtained after fitting with simulated prospective autoregressive integrated mo...
<p>Months and seasons shown refers to month/seasons of the northern hemisphere (i.e. January = month...