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Table 1.

Meteorological parameters (humidity, precipitation and temperature) and number of influenza cases in two cities of Pakistan, 2012–16.

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Table 1 Expand

Fig 1.

Precipitation, humidity, temperature and influenza cases in Islamabad during 2012–16.

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Fig 1 Expand

Fig 2.

Precipitation, humidity, temperature and influenza cases in Multan during 2012–16.

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Fig 2 Expand

Table 2.

Correlation of meteorological parameters with influenza test positivity and number of cases of influenza in two cities of Pakistan, 2012–16.

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Table 2 Expand

Fig 3.

Association of precipitation, humidity and temperature with number of influenza cases in Islamabad and Multan during 2012–16.

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Fig 3 Expand

Table 3.

Model statistics for influenza surveillance data in two cities of Pakistan, 2012–16.

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Table 3 Expand

Fig 4.

Forecasting of influenza in Islamabad using exponential smoothing model.

The blue line represents the observed values of influenza incidence from 2012 to 2016, and the red line represents the constructed model’s fitted curve of 2017.

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Fig 4 Expand

Fig 5.

Forecasting of influenza in Multan using exponential smoothing model.

The blue line represents the observed values of influenza incidence from 2012 to 2016, and the red line represents the constructed model’s fitted curve of 2017.

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Fig 5 Expand

Table 4.

Socio-demographic and clinical characteristics of patients tested for influenza in two cities of Pakistan, 2012–16.

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Table 4 Expand

Table 5.

Socio-demographic and clinical characteristics of confirmed influenza cases in two cities of Pakistan, 2012–16.

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Table 5 Expand

Fig 6.

Weekly incidence curve of influenza in two cities of Pakistan, 2012–16.

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Fig 6 Expand