Hui Wang1, Biao Di1, TieJun Zhang2, Yin Lu1, Chun Chen1, Dahu Wang1, Tiegang Li3, Zhoubin Zhang1, Zhicong Yang1. 1. Guangzhou Centre for Disease Control and Prevention, Guangzhou, China. 2. Department of Nuclear Medicine, The first Affiliated Hospital of Baotou Medical College, Baotou 014010, China. 3. Guangzhou Centre for Disease Control and Prevention, Guangzhou, China. Electronic address: Huiwang8451@yahoo.com.
Abstract
BACKGROUND: Infectious diarrhea (ID) has exerted a severe disease burden on the world. The seasonal ID patterns suggest that meteorological factors (MFs) may influence ID incidence. The aim of this study was to evaluate the effect of MFs on ID, and to provide scientific evidence to the relevant health authorities for disease control and prevention. METHODS: Data from ID cases and daily MFs (including mean temperature, diurnal temperature range, relative humidity, precipitation, atmospheric pressure, and wind velocity) in Guangzhou, Southern China from 2006 to 2017 were collected. Using a distributed lag non-linear model approach, we assessed the relationship between MFs and ID incidence. RESULTS: Compared with the lowest ID risk values, low mean temperature, relative humidity, and precipitation were associated with an increased risk for ID, while higher diurnal temperature range and atmospheric pressure were also associated with increased risk. Maximum atmospheric pressure and minimum relative humidity had larger cumulative effects within 21 lag days, yielding relative risks of 133.11 (95% CI: 61.29-289.09) and 18.17 (14.42-22.89), respectively. The cumulative effect within 21 lag days of minimum temperature was higher than that from maximum temperature in all sub-populations. The cumulative effects of minimum temperature for men, teenagers, and young adults (10-29 years) were higher than those for other populations. CONCLUSIONS: MFs should be considered when developing prevention and surveillance programs for ID. Special attention should be paid to vulnerable populations, such as teenagers and young adults.
BACKGROUND:Infectious diarrhea (ID) has exerted a severe disease burden on the world. The seasonal ID patterns suggest that meteorological factors (MFs) may influence ID incidence. The aim of this study was to evaluate the effect of MFs on ID, and to provide scientific evidence to the relevant health authorities for disease control and prevention. METHODS: Data from ID cases and daily MFs (including mean temperature, diurnal temperature range, relative humidity, precipitation, atmospheric pressure, and wind velocity) in Guangzhou, Southern China from 2006 to 2017 were collected. Using a distributed lag non-linear model approach, we assessed the relationship between MFs and ID incidence. RESULTS: Compared with the lowest ID risk values, low mean temperature, relative humidity, and precipitation were associated with an increased risk for ID, while higher diurnal temperature range and atmospheric pressure were also associated with increased risk. Maximum atmospheric pressure and minimum relative humidity had larger cumulative effects within 21 lag days, yielding relative risks of 133.11 (95% CI: 61.29-289.09) and 18.17 (14.42-22.89), respectively. The cumulative effect within 21 lag days of minimum temperature was higher than that from maximum temperature in all sub-populations. The cumulative effects of minimum temperature for men, teenagers, and young adults (10-29 years) were higher than those for other populations. CONCLUSIONS: MFs should be considered when developing prevention and surveillance programs for ID. Special attention should be paid to vulnerable populations, such as teenagers and young adults.
Authors: Alicia N M Kraay; Olivia Man; Morgan C Levy; Karen Levy; Edward Ionides; Joseph N S Eisenberg Journal: Environ Health Perspect Date: 2020-12-07 Impact factor: 9.031
Authors: Paul L C Chua; Chris Fook Sheng Ng; Lina Madaniyazi; Xerxes Seposo; Miguel Antonio Salazar; Veronika Huber; Masahiro Hashizume Journal: Environ Health Perspect Date: 2022-02-21 Impact factor: 9.031