What viruses have been responsible for most common childhood acute respiratory track infections (ARTI)?
The most frequently reported viruses include respiratory syncytial virus (RSV), influenza viruses A and B (IAV, IBV), parainfluenza viruses (PIVs), human rhinovirus (HRV) and adenovirus (ADV), 
BACKGROUND: The epidemiology of local viral etiologies is essential for the management of viral respiratory tract infections. Limited data are available in China to describe the epidemiology of viral respiratory infections, especially in small–medium cities and rural areas. OBJECTIVES: To determine the viral etiology and seasonality of acute respiratory infections in hospitalized children, a 3-year study was conducted in Shenzhen, China. METHODS: Nasopharyngeal aspirates from eligible children were collected. Influenza and other respiratory viruses were tested by molecular assays simultaneously. Data were analyzed to describe the frequency and seasonality. METHODS: Nasopharyngeal aspirates from eligible children were collected. Influenza and other respiratory viruses were tested by molecular assays simultaneously. Data were analyzed to describe the frequency and seasonality. RESULTS: Of the 2025 children enrolled in the study, 971 48·0% were positive for at least one viral pathogen, in which 890 91·7% were <4 years of age. The three most prevalent viruses were influenza A IAV; 35·8% , respiratory syncytial virus RSV; 30·5% and human rhinovirus HRV; 21·5% . Co-infections were found in 302 cases 31·1% , and dual viral infection was dominant. RSV, HRV and IAV were the most frequent viral agents involved in co-infection. Co-infections were found in 302 cases 31·1% , and dual viral infection was dominant. RSV, HRV and IAV were the most frequent viral agents involved in co-infection. On the whole, the obvious seasonal peaks mainly from March to May were observed with peak strength varying from 1 year to another. CONCLUSIONS: This study provides a basic profile of the epidemiology of acute respiratory viral infection in hospitalized children in Shenzhen. The spectrum of viruses in the study site is similar to that in other places, but the seasonality is closely related to geographic position, different from that in big cities in northern China and neighboring Hong Kong. Text: Acute respiratory tract infections ARTIs are a persistent and pervasive public health problem in both developed and developing countries. The spectrum of viruses in the study site is similar to that in other places, but the seasonality is closely related to geographic position, different from that in big cities in northern China and neighboring Hong Kong. Text: Acute respiratory tract infections ARTIs are a persistent and pervasive public health problem in both developed and developing countries. They cause a great burden of disease worldwide. Especially in developing countries including China, ARTIs, mainly pneumonia, are the leading cause of death among children under the age of 5 years. 1,2 A great variety of pathogens can cause ARTIs, and viruses have been considered as the predominant pathogens in this children population. 3, 4 The most frequently reported viruses include respiratory syncytial virus RSV , influenza viruses A and B IAV, IBV , parainfluenza viruses PIVs , human rhinovirus HRV and adenovirus ADV , which are responsible for most episodes of ARTIs in children. 1,2 A great variety of pathogens can cause ARTIs, and viruses have been considered as the predominant pathogens in this children population. 3, 4 The most frequently reported viruses include respiratory syncytial virus RSV , influenza viruses A and B IAV, IBV , parainfluenza viruses PIVs , human rhinovirus HRV and adenovirus ADV , which are responsible for most episodes of ARTIs in children. 1 In the past decade, several new viruses associated with ARTIs such as human metapneumovirus HMPV , novel strains of coronaviruses SARS-CoV, HCoV-NL63 and HKUI , human bocavirus BOV , WU polyomavirus WUPoyV and KI polyomavirus KIPoyV have been discovered in human respiratory tract specimens. Among them, some have been identified to be causative pathogens of ARTIs. 1, 4, 5 Currently, there are no approved vaccines or medications available for most of the respiratory viruses. 1 A better understanding of the epidemiology of viral respiratory tract infections in children plays a key role for the prevention, control and treatment of ARTIs. 1, 4, 5 Currently, there are no approved vaccines or medications available for most of the respiratory viruses. 1 A better understanding of the epidemiology of viral respiratory tract infections in children plays a key role for the prevention, control and treatment of ARTIs. Studies showed that many viral respiratory infections exhibited predictable seasonal variations. However, the epidemiological profiles of viral respiratory infections from different climate zones or different countries in the same climate zone may be varied. China is a large country crossing three climate zones, and great differences in climate are found from region to region. A better understanding of the epidemiology of ARTIs in different regions could be helpful to develop effective surveillance, prevention and treatment strategies. China is a large country crossing three climate zones, and great differences in climate are found from region to region. A better understanding of the epidemiology of ARTIs in different regions could be helpful to develop effective surveillance, prevention and treatment strategies. Although some studies on the epidemiology of ARTIs have recently been reported in big cities such as Beijing, Shanghai and Hong Kong,  the epidemic characteristics of viruses in ARTIs are still not well established all around China, especially in other cities and rural areas. Shenzhen is the largest migratory city of China with high population density and population mobility. It is located in southern China at 22°27 0 -22°52 0 N and 113°46 0 -114°37 0 E, immediately north of Hong Kong, with a typical subtropical monsoon climate. The annual average temperature and relative humidity of Shenzhen are about 23°C 12-33°C and 77%, respectively. It is located in southern China at 22°27 0 -22°52 0 N and 113°46 0 -114°37 0 E, immediately north of Hong Kong, with a typical subtropical monsoon climate. The annual average temperature and relative humidity of Shenzhen are about 23°C 12-33°C and 77%, respectively. The purpose of this study is to investigate the prevalence, seasonality and clinical characteristics of acute viral respiratory infections in hospitalized children in Shenzhen and to provide insights into etiologies of ARTIs in local infants and children. A consecutive 3-year prospective study from July 2007 to June 2010 was conducted in Shenzhen, a coastal city neighboring Hong Kong. Four hospitals including a children's hospital were chosen for the study. Selected patients with ARTIs admitted to the pediatric wards were enrolled. Four hospitals including a children's hospital were chosen for the study. Selected patients with ARTIs admitted to the pediatric wards were enrolled. The inclusion criteria were as follows: less than 14 years old, acute fever T ≥ 38°C , with any one of respiratory symptoms such as sore throat, cough, wheezing and dyspnoea/ tachypnoea , normal or low leukocyte count, the onset of illness within 3 days before hospitalization. The diagnosis of pneumonia was based on the guideline of the management of childhood community acquired pneumonia CAP issued by the Chinese Medical Association in 2006. 17 In the guideline, the clinical symptoms and signs for the diagnosis of childhood CAP include fever, cough, tachypnoea defined according to different age , difficulty breathing and/or lower chest wall indrawing. X-ray evaluation has been carried out when necessary. 17 In the guideline, the clinical symptoms and signs for the diagnosis of childhood CAP include fever, cough, tachypnoea defined according to different age , difficulty breathing and/or lower chest wall indrawing. X-ray evaluation has been carried out when necessary. The study protocol was approved by the medical ethical committees of the hospitals. Written informed consent was obtained from the parents or legal guardians of the children. Nasopharyngeal aspirates NPA were obtained by trained personnel following standard operating procedures within 24 hour after admission. The specimens were transported immediately to the laboratory by sterile viral transport media, then divided into aliquots and immediately frozen at À80°C until further processing. Nasopharyngeal aspirates NPA were obtained by trained personnel following standard operating procedures within 24 hour after admission. The specimens were transported immediately to the laboratory by sterile viral transport media, then divided into aliquots and immediately frozen at À80°C until further processing. Total viral nucleic acids DNA and RNA were extracted from 200 ll of NPA specimen using the AxyPrep Body Fluid DNA/RNA Miniprep Kit Axygen, Union City, CA, USA , according to the manufacturer's instructions. Purified DNA and RNA were stored at À80°C in aliquots for further PCR analysis. For each specimen, assays for ten common and newly identified viruses were performed. Briefly, WUPoyV and BOV were tested using monoplex PCRs described previously. For each specimen, assays for ten common and newly identified viruses were performed. Briefly, WUPoyV and BOV were tested using monoplex PCRs described previously. 18, 19 Other viruses were tested using the Luminex platform and multiplex xTAG TM respiratory viral panel assay RVP Assay according to the manufacturer's instructions. 20 All multiple infection samples were retested. If there was discordance between two tests, the sample was confirmed by monoplex PCR. Statistical Package for the Social Sciences SPSS for Windows version 11.0 SPSS Inc. Chicago, IL, USA was used. For comparison of categorical data, chi-square or Fisher's exact test was used. Statistical Package for the Social Sciences SPSS for Windows version 11.0 SPSS Inc. Chicago, IL, USA was used. For comparison of categorical data, chi-square or Fisher's exact test was used. All tests were two-tailed, and a P value below 0Á05 was considered statistically significant. A total of 2025 specimens were obtained from 2025 eligible patients ranging from 15 days to 14 years old with a median age of 12 months, in which 89Á6% of patients were < 4 years old. There were 964 47Á6% females and 1061 52Á4% males included. Of all hospitalized children enrolled in this study, 84Á0% involved lower respiratory infection and 16Á0% had upper respiratory tract infection Table 1 . There were 964 47Á6% females and 1061 52Á4% males included. Of all hospitalized children enrolled in this study, 84Á0% involved lower respiratory infection and 16Á0% had upper respiratory tract infection Table 1 . Among 971 positive cases, 572 58Á9% were diagnosed as pneumonia. About 971 of the 2025 cases 48Á0% were positive for at least one viral pathogen. Among them, IAV, RSV, HRV and PIVs were detected in 348 35Á8% , 296 30Á5% , 209 21Á5% and 169 17Á4% cases, respectively. Single infection was observed in 669 68Á9% cases, and multiple infection was found in 302 31Á1% . Among them, IAV, RSV, HRV and PIVs were detected in 348 35Á8% , 296 30Á5% , 209 21Á5% and 169 17Á4% cases, respectively. Single infection was observed in 669 68Á9% cases, and multiple infection was found in 302 31Á1% . Our results also showed that RSV, IAV and HRV were the main pathogens in single viral infection cases Table 1 . The monthly positive rates varied from 32Á5% to 75Á0% with a mean of 45Á1% Figure 1 . In the year 2009, when influenza A H1N1 was pandemic worldwide, the positive rate started to increase in March and the highest positive rate 75Á0% was observed in May. Among the 971 positive cases, a total of 1335 viral pathogens were detected. In the year 2009, when influenza A H1N1 was pandemic worldwide, the positive rate started to increase in March and the highest positive rate 75Á0% was observed in May. Among the 971 positive cases, a total of 1335 viral pathogens were detected. The most frequently detected pathogen was IAV 26Á1%, 348/1335 , followed by RSV 22Á2%, 296/1335 , HRV 15Á7%, 209/1335 , PIV1 and PIV3 12Á7%, 169/1335  About 302 co-infection cases were identified, accounting for 14Á9% of all 2025 hospitalized children. During the H1N1 outbreak from March to August 2009, co-infection cases and co-infection rate increased significantly Figure 2 . 143 of 302 47Á4% co-infection cases were detected during that time. Among them, 121 cases were involved in IAV infection, including 90 dual infection cases. 143 of 302 47Á4% co-infection cases were detected during that time. Among them, 121 cases were involved in IAV infection, including 90 dual infection cases. Of all co-infection cases, 247 81Á8% , 49 16Á2% and 5 1Á7% were infected with two, three and four potential viral pathogens, respectively. One multiple infection with five viruses was detected in a RSV IAV HRV BOV PIV3 ADV HMPV WUPoyV PIV1 IBV Total A Total cases 163 172 85 55 51 49 37 26 24 7 669 Bronchitis 12 19 7 7 5 2 2 3 5 0 62 Bronchiolitis 45 19 20 7 13 9 8 2 5 0 128 Pneumonia 93 97 55 28 24 28 25 18 14 5 387 URTI 13 37 3 13 9 10 2 3 0 2 *Case number and percentage in all enrolled children. **Incidence rate in this age group significantly higher than the other age groups. ***No significant difference between these three age groups. **Incidence rate in this age group significantly higher than the other age groups. ***No significant difference between these three age groups. †No significant differences between these two age groups, but significantly lower than the other age groups. 6-month-old infant. IAV, RSV and HRV were the three most frequently found viruses in co-infection and detected in 176, 133 and 124 cases with co-infection rates of 50Á6%, 44Á9% and 59Á3%, respectively Table 2 . Various multiple infection patterns were observed in the study. A total of 152 50Á3% co-infection cases involved at least two viruses of RSV, HRV and IAV. Various multiple infection patterns were observed in the study. A total of 152 50Á3% co-infection cases involved at least two viruses of RSV, HRV and IAV. Co-infection rate of each individual virus detected varied significantly. The lowest and highest co-infection rates were observed in WUPoyV 33Á3% and IBV 66Á7% , respectively. 91Á4% 276/302 of co-infection cases were tested in the age group of 4 years old or younger Table 2 , but among all age groups, no statistical difference in co-infection rate was found v 2 = 1Á83, P = 0Á8721 . Gender-specific difference in co-infection rate was not observed v 2 = 2Á17, P = 0Á1404 . 91Á4% 276/302 of co-infection cases were tested in the age group of 4 years old or younger Table 2 , but among all age groups, no statistical difference in co-infection rate was found v 2 = 1Á83, P = 0Á8721 . Gender-specific difference in co-infection rate was not observed v 2 = 2Á17, P = 0Á1404 . There was no significant difference in co-infection rates between PICU and non-PICU cases. Similarly, no significant difference in clinical symptoms was observed between co-infection and single cases data not shown . In general, respiratory viruses were detected more often in the period of March to May than in other months 55Á4% and 40Á6%, respectively, v 2 = 28Á06, P = 0Á0000 , and obvious seasonal peaks were observed during those months with peak strength varying from 1 year to another. A weaker seasonal peak could also be distinguished in some winter months in different years Figure 1 . In general, respiratory viruses were detected more often in the period of March to May than in other months 55Á4% and 40Á6%, respectively, v 2 = 28Á06, P = 0Á0000 , and obvious seasonal peaks were observed during those months with peak strength varying from 1 year to another. A weaker seasonal peak could also be distinguished in some winter months in different years Figure 1 . The seasonality profile of each individual virus detected was diversified. A seasonal distribution of IAV can be observed from late spring to summer mainly March to May and sometimes in fall October, November or December . A wide seasonal peak of IAV infection was detected from March to August 2009 Figure 3A . Although RSV was tested almost a whole year, two yearly peaks were identified. A wide seasonal peak of IAV infection was detected from March to August 2009 Figure 3A . Although RSV was tested almost a whole year, two yearly peaks were identified. One was found in November and/or December and the other stronger one was found in March to May of the year. The peak duration in 2009 was longer than those in other years. The seasonal trends of HRV and PIVs were similar to that of RSV, but the peaks of these three viruses fluctuated and shifted mildly Figure 3B . Although IBV and ADV had a low detection rate in the study, similar seasonality was observed and their infection peaks were mainly in midwinter. The seasonal trends of HRV and PIVs were similar to that of RSV, but the peaks of these three viruses fluctuated and shifted mildly Figure 3B . Although IBV and ADV had a low detection rate in the study, similar seasonality was observed and their infection peaks were mainly in midwinter. Peaks in spring and summer were also observed in some years Figure 3C . Our investigation did not find regular seasonality in BOV infections. A sudden increase in BOV infection was recorded in April and May 2010. Although the positive rate of HMPV infection was only 4Á8%, regular seasonality was observed from March to May of each year. A sudden increase in BOV infection was recorded in April and May 2010. Although the positive rate of HMPV infection was only 4Á8%, regular seasonality was observed from March to May of each year. Of 39 patients with WUPoyV infection, 36 were detected after July 2008. Our data implied that peak months of WUPoyV infection were from March to May Figure 3D . The positive rates of viral infections in male and female were 52Á5% and 47Á5%, respectively. No significant gender difference was revealed v 2 = 0Á012, P = 0Á9118 . The distribution of viral agents and infection patterns in different age groups are shown in Table 2 . No significant gender difference was revealed v 2 = 0Á012, P = 0Á9118 . The distribution of viral agents and infection patterns in different age groups are shown in Table 2 . Of all 971 positive children, 890 91Á7% were 4 years old or younger. The positive rate in this age group was significantly higher than that in children more than 4 years old v 2 = 8Á26, P = 0Á0041 . Children under 6 months were the most susceptible to respiratory viral pathogens with a positive rate of 14Á8% Table 2 . Very few long-term prospective studies were performed for viral etiologies of ARTIs among hospitalized children. Children under 6 months were the most susceptible to respiratory viral pathogens with a positive rate of 14Á8% Table 2 . Very few long-term prospective studies were performed for viral etiologies of ARTIs among hospitalized children. In this present study, the infection frequency, seasonality, co-infection pattern and clinical features of viral respiratory infections were investigated based on prospective analysis of three consecutive year's data from hospitalized children with ARTIs. Our results provided a distinctive epidemiological profile of viral respiratory infections in hospitalized children with ARTIs in the study areas, which was different from those in the big cities in northern China such as Beijing and Shanghai and also different from that in adjacent Hong Kong. Overall, 48Á0% of our cases were positive for respiratory virus infections, which resembled the latest study in the same city. 21 A similar incidence rate has been obtained in neighboring regions 13, 22 and other cities such as Rome 23 and Milan, 24 but it was different from other studies. Overall, 48Á0% of our cases were positive for respiratory virus infections, which resembled the latest study in the same city. 21 A similar incidence rate has been obtained in neighboring regions 13, 22 and other cities such as Rome 23 and Milan, 24 but it was different from other studies. In China, the overall positive rate reported varied from 27Á3 to 74Á8% depending on different areas and detection methods. 15, 16, The rate of respiratory viral infections varied worldwide, and many factors such as geographic distribu-tion, study design and detection protocols could lead to these variations. 1, 7, 8, 32 In our study, leukocyte count was used as an indicator of inclusion criteria and it probably affected the positive rate. Viruses not considered in the study, for example coronaviruses, would underestimate the positive rate. 1, 7, 8, 32 In our study, leukocyte count was used as an indicator of inclusion criteria and it probably affected the positive rate. Viruses not considered in the study, for example coronaviruses, would underestimate the positive rate. Most studies showed that RSV or HRV was the most prevalent viruses in children with viral respiratory tract infection. 1 In this study, IAV was the most frequently detected respiratory virus, followed by RSV and HRV. IAV H1N1 outbreak in 2009 could explain this shift. Data showed that about 60% of IAV infections were detected during the outbreak period. Studies showed that the H1N1 outbreak could change viral distribution patterns. Data showed that about 60% of IAV infections were detected during the outbreak period. Studies showed that the H1N1 outbreak could change viral distribution patterns. 24, 29, 33 Regardless of the IAV H1N1 outbreak, RSV and HRV were the two most common viral pathogens in ARTIs, which was consistent with most previous studies. 1, 10, 15, 16, 22,  Our study further confirmed the importance of RSV and HRV in children with ARTIs, especially in children < 4 years of age. 10, 14, 23 Our results also showed that 12Á7% of viral pathogens detected were PIV1 and PIV3, which implied that PIVs played an important role in children with ARTIs. Similar findings were obtained in the studies conducted in Shanghai, 14, 34 Changsha, 26 Harbin, 30 Hong Kong 13 and Rome. 10, 14, 23 Our results also showed that 12Á7% of viral pathogens detected were PIV1 and PIV3, which implied that PIVs played an important role in children with ARTIs. Similar findings were obtained in the studies conducted in Shanghai, 14, 34 Changsha, 26 Harbin, 30 Hong Kong 13 and Rome. 23 The prevalence of PIV3 was twofold higher than that of PIV1, particularly in infants, which was similar with other reports, 25, 26, 30, 35 implying that infants could be more vulnerable to infection with PIV3 than PIV1. HMPV has been proven to be one of the main viral pathogens responsible for ARTIs in children. 5 The positive rate found in the study was consistent with previously published results. 10, 36, 37 In China, the infection rate of HMPV varied from 3Á2 to 10Á6%. 5 The positive rate found in the study was consistent with previously published results. 10, 36, 37 In China, the infection rate of HMPV varied from 3Á2 to 10Á6%. 22, 26, 28, 29, 31 The seasonality of HMPV in this study was mainly from March to May, similar to that in Hong Kong, 36 but different from other places. 5, 37 In our study, 4Á9% of cases were positive for BOV, which coincided with 5Á0% in Hong Kong 38 and higher than Guangzhou 39 and eastern Guangdong. 22 Our result suggested that BOV might be present throughout the year with no seasonal distribution. However, seasonal distribution was noted from September to February in Hong Kong 38 and May and June in Guangzhou. 22 Our result suggested that BOV might be present throughout the year with no seasonal distribution. However, seasonal distribution was noted from September to February in Hong Kong 38 and May and June in Guangzhou. 39 The use of multiple PCR made it possible to simultaneously detect a broad spectrum of viruses with excellent sensitivity, at the same time, with increased viral detection rate and co-infection rate for ARTIs. 12,40 Among our positive cases, co-infection rate was 31Á1%, which was similar to 27Á9% reported by Do et al. 10 Co-infection rate reported elsewhere varied widely from 25Á4 to 47Á9%. 40 The relatively lower co-infection rates ranging from 0Á24 to 26Á9% were reported in the studies conducted in various cities of China. 10 Co-infection rate reported elsewhere varied widely from 25Á4 to 47Á9%. 40 The relatively lower co-infection rates ranging from 0Á24 to 26Á9% were reported in the studies conducted in various cities of China. 22, In most of these studies, immunofluorescence kits were used to test a lower number of respiratory viruses. It was worth to note that in the study by Peng et al. 32 in Wuhan, China, 69Á5% of co-infection rate was reported with immunofluorescence kit. These variations might be attributed to geographic differences, diagnostic methods for viral agents and study design. 32 in Wuhan, China, 69Á5% of co-infection rate was reported with immunofluorescence kit. These variations might be attributed to geographic differences, diagnostic methods for viral agents and study design. 12, 32, 34, 41, 42 Pathogens in those negative patients need to be further investigated as only ten common and newly identified viruses were included in our study, which might underestimate positive rate or coinfection rate. It was notable that the correlation between co-infection rate and positive rate was not observed. Of multiple infections, dual infection was predominant in this study whether or not considering the IAV H1N1 outbreak in 2009, which was consistent with previous studies. 28, 32, 42, 43 Similar with the studies conducted in the cities of Guangzhou and Wuhan, China, 28, 29 our study showed that IAV, RSV and HRV were the main viruses involved in multiple infections. Of multiple infections, dual infection was predominant in this study whether or not considering the IAV H1N1 outbreak in 2009, which was consistent with previous studies. 28, 32, 42, 43 Similar with the studies conducted in the cities of Guangzhou and Wuhan, China, 28, 29 our study showed that IAV, RSV and HRV were the main viruses involved in multiple infections. High co-infection rate between these three viruses could be explained from the overlap of their seasonal distributions. A variety of predominant multiple infection patterns between respiratory viruses were observed in different studies. 12, 32, 42, 43 For example, it was shown in Martin et al. 's study 43 that ADV and coronaviruses were the most common co-infection pattern. 12, 32, 42, 43 For example, it was shown in Martin et al. 's study 43 that ADV and coronaviruses were the most common co-infection pattern. Our study showed that RSV and HRV were the two most viruses involved in multiple infection, followed by IAV and PIVs, regardless of IAV infection in the H1N1 outbreak period. It was difficult to explain the variations of coinfection patterns based only on seasonal distribution. A recent study suggested that co-infection patterns were not random and certain pathogens had higher frequency of coinfection. 41 As molecular assays only detect nucleic acid and positive result does not mean the presence of the pathogen, when studying co-infection patterns of respiratory viruses, the ability to differentiate the real causative pathogens needs to be solved first. A recent study suggested that co-infection patterns were not random and certain pathogens had higher frequency of coinfection. 41 As molecular assays only detect nucleic acid and positive result does not mean the presence of the pathogen, when studying co-infection patterns of respiratory viruses, the ability to differentiate the real causative pathogens needs to be solved first. Viral load detection could provide some clues for solving this issue. 43, 44 Although high co-infection rates have been reported in various studies, the associations among multiple infections, hospitalization rate and severity of ARTIs were still not clear with inconsistent results in different studies. 42, 43, 45 Our data suggested that multiple infection had less association with the severity of disease, consistent with Peng et al. 's study. 42, 43, 45 Our data suggested that multiple infection had less association with the severity of disease, consistent with Peng et al. 's study. 32 The relationship between co-infection rates and age group was also investigated in our study, and little correlation was observed. Several previous studies observed that co-infection rates were more frequent in a certain age group, but results were varied. 32, 43 In contrast to temperate region, where most viruses had winter-spring seasonality, the respiratory viral infections in tropical and subtropical regions appeared mainly to be spring-summer seasonality. 9 In this study, due to the high detection rate and similar seasonality of RSV, HRV, IAV, PIV and HMPV, an overall spring-summer seasonality of viral respiratory infections in children was concluded. 32, 43 In contrast to temperate region, where most viruses had winter-spring seasonality, the respiratory viral infections in tropical and subtropical regions appeared mainly to be spring-summer seasonality. 9 In this study, due to the high detection rate and similar seasonality of RSV, HRV, IAV, PIV and HMPV, an overall spring-summer seasonality of viral respiratory infections in children was concluded. Studies conducted in Hong Kong showed that a clear seasonal peak was from April to September, 36, 46 with a longer duration than our study. The overall seasonality in this study was also different from the studies conducted in northern or central cities of China, in which the seasonality of most viruses presented in autumn-winter and/or winter-spring. 15, 30 The winter-spring seasonality was also observed in Guangzhou, a city about 150 kilometers north of Shenzhen. 28 Different seasonal onset and duration were observed in various studies conducted in sub- tropical regions. 15, 30 The winter-spring seasonality was also observed in Guangzhou, a city about 150 kilometers north of Shenzhen. 28 Different seasonal onset and duration were observed in various studies conducted in sub- tropical regions. In these studies, ambient temperature, humidity and rainfall were widely used to explain these differences in seasonality, but inconsistent results were observed. 9, 46, 47 Although most studies demonstrated that the seasonality of viral respiratory infections was correlated with increased rainfall, effects of climate factors such as humidity and temperature on the seasonality were complex and interactive. 9, 46, 48 The study areas have four indistinct seasons, and the coldest month usually emerges in January average 12°C . During the period from March to May, the weather featured warm ambient temperature average 18-25°C , high relative humidity average 85%-90% and increasing rainfall. 9, 46, 48 The study areas have four indistinct seasons, and the coldest month usually emerges in January average 12°C . During the period from March to May, the weather featured warm ambient temperature average 18-25°C , high relative humidity average 85%-90% and increasing rainfall. These meteorological conditions were perhaps conducive to viral survival. 9, 48 In addition, intensive temperature fluctuations during seasonal alternation could increase the susceptibility to infections. 49 As reported in other studies in temperate, tropical and subtropical regions, viral infection rates in children population showed an inverse correlation with age, with younger individuals experiencing higher viral infection rates. 3, 4, 6, 9, 24 Our results suggested that children younger than 4 years of age, particularly <6 months, were at higher risk of hospitalization for ARTIs, compared with older children. 49 As reported in other studies in temperate, tropical and subtropical regions, viral infection rates in children population showed an inverse correlation with age, with younger individuals experiencing higher viral infection rates. 3, 4, 6, 9, 24 Our results suggested that children younger than 4 years of age, particularly <6 months, were at higher risk of hospitalization for ARTIs, compared with older children. This was particularly substantiated in RSV infection. Our presumption was supported by other studies. 14,25-28 Of course, this speculation needed to be validated by the population-based study. The findings reported elsewhere suggested that more males than females were affected by ARTIs, which were not observed in our study. 14,25-28 Of course, this speculation needed to be validated by the population-based study. The findings reported elsewhere suggested that more males than females were affected by ARTIs, which were not observed in our study. Notably, our study occurred over a span of 3 years, which included the IAV H1N1 outbreak in 2009. The impact of the outbreak on the results should be considered. Data showed that the detection rate of IAV increased significantly and co-infection rate during outbreak months was much higher than average co-infection rate. Unfortunately, we did not type these influenza strains based on the original study design. It was most likely that these strains contributed to the relatively high proportion of IAV. Unfortunately, we did not type these influenza strains based on the original study design. It was most likely that these strains contributed to the relatively high proportion of IAV. Relatively higher single and multiple infections of RSV, HRV and PIVs were also observed during the outbreak of IAV. Increased susceptible population and awareness, intensive testing and altered patient and physician behavior could lead to these increases. These factors could partly explain the relatively high proportion of pneumonia cases in the study. Furthermore, studies showed that the outbreak of IAV H1N1 could increase the risk of other viral infections such as RSV and HRV. 24, 33 Other limitations also existed in this study. Furthermore, studies showed that the outbreak of IAV H1N1 could increase the risk of other viral infections such as RSV and HRV. 24, 33 Other limitations also existed in this study. First, molecular methods allowed the detection of only viral nucleic acid even without virus replication, which complicates the interpretation of positive detection results. Second, the subtype identification of some common respiratory viruses such as IAV and HRV was not performed in our study, particularly during the IAV H1N1 outbreak in 2009. In summary, despite those aforementioned limitations, this three consecutive years' surveillance would provide a basic profile of the spectrum, seasonality, age and gender distribution, co-infection patterns as well as clinical association of viral respiratory infections in hospitalized children in the study sites. It could help the prediction, prevention and control of ARTIs in children.