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Revista Cubana de Higiene y Epidemiología

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2014, Number 3

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Rev Cubana Hig Epidemiol 2014; 52 (3)

Climate and the incidence of acute respiratory infection in Ancash, Peru (2005-2013)

Zeña GS, Barceló PC
Full text How to cite this article

Language: Spanish
References: 26
Page: 301-313
PDF size: 907.27 Kb.


Key words:

dry daily and monthly maximum temperature, minimum daily and monthly dry temperature, spectral analysis, persistence, recurrence, ARIMA (autoregressive integrated moving average).

ABSTRACT

Introduction: some meteorological variables could influence the health of individuals and anthropogenic global climate change and launch is supported.
Objectives: this study attempts to identify regularities of behavior of extreme dry air temperatures and their possible relation to acute respiratory infections (SARI).
Method: a time series analysis in Ancash, Peru is made. The analysis addresses the extreme dry air temperatures and the incidence of HCAI, in a recent period on a monthly basis. Nonparametric method of bivariate power spectrum, considering spectral densities, coherences and phases to identify regularities in the structure of the time series frequencies, bond strength and phase relationship, where the dependent variable was the incidence of HCAI was used ; Also the parametric method univariate ARIMA (p, d, q) for univariate modeling.
Result: annual periodicity of the average monthly daily minimum temperature in antiphase with periodicity comparable to the local incidence of HCAI and the monthly average daily maximum temperature in quasi-phase with the IRAS identified. To this persistence process first order is added.
Conclusions: the heating was not confirmed. The IRAS showed oscillating trend in the period analyzed.


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Rev Cubana Hig Epidemiol. 2014;52