Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59237, first published .
Exploring the Birthday Week Effect on Hand, Foot, and Mouth Disease in Yunnan Province, China, From 2008 to 2022: Surveillance Data Analysis

Exploring the Birthday Week Effect on Hand, Foot, and Mouth Disease in Yunnan Province, China, From 2008 to 2022: Surveillance Data Analysis

Exploring the Birthday Week Effect on Hand, Foot, and Mouth Disease in Yunnan Province, China, From 2008 to 2022: Surveillance Data Analysis

1School of Public Health, North Sichuan Medical College, , Nanchong, , China

2School of Disaster and Emergency Medicine, Tianjin University, , Tianjin, , China

3Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), , Chongqing, , China

4School of Clinical Medicine, North Sichuan Medical College, , Nanchong, , China

5Yunnan Center for Disease Control and Prevention, , Xianghe Street #1177, Chenggong District, Kunming, , China

6Yan'An Hospital of Kunming City, , Kunming, , China

7Hospital of Xi Zang Medicine, , Lhasa, , China

8Lanke Medical Technology Nanjing Research Institution, , Nanjing, , China

*these authors contributed equally

Corresponding Author:

Tiejun Shui, MPH


Background: Hand, foot, and mouth disease (HFMD) is a notable infectious disease predominantly affecting infants and children worldwide. Previous studies on HFMD have primarily focused on natural patterns, such as seasonality, but research on the influence of important social time points is lacking. Several studies have indicated correlations between birthdays and certain disease outcomes.

Objective: This study aimed to explore the association between birthdays and HFMD.

Methods: Surveillance data on HFMD from 2008 to 2022 in Yunnan Province, China, were collected. We defined the period from 6 days before the birthday to the exact birthday as the “birthday week.” The effect of the birthday week was measured by the proportion of cases occurring during this period, termed the “birthday week proportion.” We conducted subgroup analyses to present the birthday week proportions across sexes, age groups, months of birth, and reporting years. Additionally, we used a modified Poisson regression model to identify conditional subgroups more likely to contract HFMD during the birthday week.

Results: Among the 973,410 cases in total, 116,976 (12.02%) occurred during the birthday week, which is 6.27 times the average weekly proportion (7/365, 1.92%). While the birthday week proportions were similar between male and female individuals (68,849/564,725, 12.19% vs 48,127/408,685, 11.78%; χ21=153.25, P<.001), significant differences were observed among different age groups (χ23=47,145, P<.001) and months of birth (χ211=16,942, P<.001). Compared to other age groups, infants aged 0‐1 year had the highest birthday week proportion (30,539/90,709, 33.67%), which is 17.57 times the average weekly proportion. Compared to other months, patients born from April to July and from October to December, the peak months of the HFMD epidemic, had higher birthday week proportions. Additionally, a decreasing trend in birthday week proportions from 2008 to 2022 was observed, dropping from 33.74% (3914/11,600) to 2.77% (2254/81,372; Cochran-Armitage trend test: Z=−102.53, P<.001). The results of the modified Poisson regression model further supported the subgroup analyses findings. Compared with children aged >7 years, infants aged 0‐1 year were more likely to contract HFMD during the birthday week (relative risk 1.182, 95% CI 1.177‐1.185; P<.001). Those born during peak epidemic months exhibited a higher propensity for contracting HFMD during their birthday week. Compared with January, the highest relative risk was observed in May (1.087, 95% CI 1.084‐1.090; P<.001).

Conclusions: This study identified a novel “birthday week effect” of HFMD, particularly notable for infants approaching their first birthday and those born during peak epidemic months. Improvements in surveillance quality may explain the declining trend of the birthday week effect over the years. Higher exposure risk during the birthday period and potential biological mechanisms might also account for this phenomenon. Raising public awareness of the heightened risk during the birthday week could benefit HFMD prevention and control.

JMIR Public Health Surveill 2024;10:e59237

doi:10.2196/59237

Keywords



Hand, foot, and mouth disease (HFMD) is a globally prevalent infectious disease caused by various enteroviruses, including coxsackievirus A16 and enterovirus 71 [1]. While most patients exhibit benign and self-limiting clinical symptoms, some may develop severe complications, such as central nervous system damage, cardiopulmonary failure, and even death [2]. Over the past decades, HFMD outbreaks have occurred frequently in the Asia-Pacific region [3]. In 2008, HFMD was classified as a Class C infectious disease for surveillance in China, with annual incidence number exceeding 1 million [4,5]. Among HFMD cases, children <5 years old are the most affected, with those aged between 6 months and 2 years exhibiting the highest incidence and severe illness rates [6].

HFMD is predominantly transmitted through the fecal-oral route via direct person-to-person contact, as well as indirect contact with surfaces and objects contaminated with excretions, such as oral secretions and vesicular fluid from infected individuals [7]. HFMD is highly contagious, and previous studies have reported numerous infections associated with high concentrations of people, such as at family gatherings and in kindergartens [8-10].

Previous studies have shown that the incidence of HFMD is influenced by various factors, including region and season [6]. HFMD exhibits seasonality. In South China, HFMD has 2 peaks: the main peak from April to July and a secondary peak from October to December [11,12]. This seasonality is related to the increased prevalence of HFMD viruses in the natural environment during these periods, influenced by climatic and meteorological changes [13,14]. In addition to natural factors, diseases occurrence is also related to social factors, with birthday being an important social time point. In recent years, several studies have reported positive associations between birthdays and various health and disease outcomes, including suicide [15,16], average excess death rate [17], mortality after surgery (if performed on the surgeon’s birthday) [18], vascular events [19], medical emergency department attendance [20], and COVID-19 infections [21]. However, no studies have examined the relationship between birthdays and HFMD, an infectious disease that primarily affects infants and children.

In China, the national infectious disease surveillance system records the date of onset and birth date of the patient, providing an opportunity to study the birthday rhythm phenomenon in major infectious diseases such as HFMD. Previous studies on HFMD have treated age merely as a basic demographic characteristic, reporting incidence and other measures of interest by age groups according to convention [22,23]. This approach misses the opportunity to show the possible birthday rhythm phenomenon by not presenting age in days. In this study, we used HFMD surveillance data from 2008 to 2022 in Yunnan Province, China, to explore the birthday rhythm phenomenon of HFMD.


Study Setting

Yunnan Province is situated on China’s southwestern border, between longitudes 97.31°E and 106.11°E and between latitudes 21.80°N and 29.15°N, within the Greater Mekong Subregion [24]. It has a population of approximately 47 million and covers 394,000 km2 (as of 2021) [25]. Due to its unique geographical and climatic environment, Yunnan Province has consistently exhibited a high incidence of infectious diseases, including HFMD [22]. Consequently, the study of infectious diseases in Yunnan Province is of great significance.

Data Sources

HFMD surveillance data from January 1, 2008, to December 31, 2022, were collected from the National Surveillance of Notifiable Infectious Disease Program (NSNIDP) established by the China Centers for Disease Control and Prevention (CDC). Since 2008, HFMD has been classified as a notifiable infectious disease, requiring reporting to the NSNIDP [4]. The system recorded the sex, date of birth, and date of onset of HFMD cases.

Statistics Analysis

In this study, “age in days” was calculated for each HFMD case to serve as the basis for subsequent statistics analyses. The “age in days” was calculated as follows:

Age in days = the difference in years between the onset date and last birthday × 365 + the difference in days between the onset date and last birthday

where “last birthday” refers to the date of the last birthday before the HFMD onset. We presented the number of HFMD cases with “age in days” as the abscissa in plotting. The “age in days” calculation method differs from the simpler and more common way (the difference in days between the onset date and birth date) because our method is more accurate and convenient for plotting. By using 365 days as a fixed period, we can determine the floor function of “age in years” and the number of days deviating from the birthday. In contrast, the other calculation method is more complicated as it requires accounting for the number of leap years between the birth date and onset date, especially for older individuals.

We defined the “birthday week” as the period spanning from 6 days before the birthday to the exact birthday (namely, the period in which the difference in days between last birthday and onset date was from 359 to 365 days). We also calculated the proportion of cases occurring during the birthday week, termed the “birthday week proportion,” to quantitatively access the birthday week effect.

We calculated the birthday week proportions across different sex and age groups (0‐1 y, 1‐3 y, 3‐7 y, and >7 y). We also conducted analyses stratified by months of birth and reporting years. The classifications of age groups were based on the activity characteristics of children. Children aged 0‐3 years are usually cared for at home, with those aged 0‐1 year classified as infants. Children aged 3‐7 years usually attend kindergartens, with those aged >7 years going to school. The Pearson χ2 test was used to analyze the differences in “birthday week proportions” among different age groups, sexes, and months of birth. The Cochran-Armitage trend test was used to perform trend analyses of birthday week proportions overall and within different age groups.

In addition, we conducted a modified Poisson regression model to identify conditional subgroups by sex, age group, month of birth, and reporting year that were more likely to contract HFMD during the birthday week. In the model, the dichotomous outcome variable is “whether the incidence date falls within the birthday week” [26]. All analyses in this study were conducted using R (version 4.3.0; R Foundation for Statistical Computing).

Ethical Considerations

The study was approved by the Research Ethics Committee of the Yunnan CDC (No. 2023‐19) with a waiver of informed consent because the data were deidentified.


Demographic Characteristics of HFMD Cases

Between 2008 and 2022, the cumulative number of HFMD cases was 973,410, of which 564,725 (58.02%) were male and 408,685 (41.98%) were female. The male-to-female sex ratio was 1.38. In terms of age distribution, cases aged 0‐7 years accounted for 95.71% (Table 1).

Table 1. Cumulative HFMDa cases, cases during the birthday week, and birthday week proportions by sex and age group in Yunan Province, China (2008‐2022).
Variables and age groups (years)Total casesMale casesFemale casesMale-to-female sex ratio
Cumulative cases (total cases: N=973,410; male cases: n=564,725; female cases: n=408,685), n (%)
0-190,709 (9.32)53,428 (9.46)37,281 (9.12)1.43
1-3485,871 (49.91)280,236 (49.62)205,635 (50.32)1.36
3-7355,075 (36.48)207,990 (36.83)147,085 (35.99)1.41
>741,755 (4.29)23,071 (4.09)18,684 (4.57)1.23
Total973,410 (100)564,725 (100)408,685 (100)1.38
Cases during the birthday week (total cases: n=116,976; male cases: n=68,849; female cases: n=48,127), n (%)
0-130,539 (26.11)18,061 (26.23)12,478 (25.93)1.45
1-355,057 (47.07)32,395 (47.05)22,662 (47.09)1.43
3-726,856 (22.96)15,906 (23.1)10,950 (22.75)1.45
>74524 (3.87)2487 (3.61)2037 (4.23)1.22
Total116,976 (100)68,849 (100)48,127 (100)1.43
Birthday week proportions, n/N (%)
0-130,539/90,709 (33.67)18,061/53,428 (33.80)12,478/37,281 (33.47)b
1-355,057/485,871 (11.33)32,395/280,236 (11.56)22,662/205,635 (11.02)
3-726,856/355,075 (7.56)15,906/207,990 (7.65)10,950/147,085 (7.44)
>74524/41,755 (10.83)2487/23,071 (10.78)2037/18,684 (10.90)
Total116,976/973,410 (12.02)68,849/564,725 (12.19)48,127/408,685 (11.78)

aHFMD: hand, foot, and mouth disease.

bNot applicable.

Birthday Week Effect

Overview

Figure 1A demonstrates an obvious “pulse and rhythm-type” surge in the cumulative HFMD cases number from 2008 to 2022 on and around birthdays for all ages, across both male and female individuals. For the 365 days in a year, on the eve of the birthday, the case numbers increased day by day as the birthday approached, peaking the day before the birthday and substantially decreasing after the birthday (Table S1 in Multimedia Appendix 1 and Figure 1B). The cumulative case numbers (and their proportions of the 973,410 total cases) from the sixth day before the birthday to the exact birthday were 3308 (0.34%); 4442 (0.46%); 8028 (0.82%); 14,982 (1.54%); 25,945 (2.67%); 41,930 (4.31%); and 18,341 (1.89%), respectively. Correspondingly, the ratios relative to the average daily proportion (1/365, 0.27%) of these 7 days were 1.24, 1.67, 3.01, 5.62, 9.73, 15.72, and 6.88, respectively. In total, the cumulative case number during the birthday week was 116,976, accounting for 12.02% of the 973,410 total cases, which is 6.27 times the average weekly proportion (7/365, 1.92%; Table S1 in Multimedia Appendix 1 and Figure 1B).

Figure 1. The “pulse and rhythm-type” surge in cumulative HFMD cases during the birthday week in Yunnan Province, China (2008‐2022). (A) Cumulative cases by age (measured in days) and sex among children aged 0‐15 years. (B) Cumulative cases based on the difference in days between onset date and birthday, along with ratios relative to the average daily proportion (1/365, 0.27%) for each day of the birthday week. HFMD: hand, foot, and mouth disease.

Table 1 also shows the cumulative case numbers during the birthday week and birthday week proportions across different age groups and sexes. Significant differences in birthday week proportions among different age groups were observed (χ23=47,145, P<.001). Compared to other age groups, the infant group aged 0‐1 year had the highest birthday week proportions (30,539/90,709, 33.67%), which is 17.57 times the average weekly proportion. In the aged 1‐3 and 3‐7 years groups, birthday week proportions decreased to 11.33% (55,057/485,871) and 7.56% (26,856/355,075), respectively. For male and female groups, there was a minimal difference in overall birthday week proportions (68,849/564,725, 12.19% vs 48,127/408,685, 11.78%; χ21=153.25, P<.001).

Stratified by Months of Birth

Analyses across age groups stratified by months of birth (Figure 2, Figure 3, and Table S2 in Multimedia Appendix 1) illustrated that there were differences in birthday week proportions among different months of birth (χ211=16,942, P<.001). Patients born during the main peak from April to July had the highest birthday week proportions, with overall birthday week proportions of 13.51% (10,080/74,610), 20.26% (16,517/82,320), 19.69% (15,994/81,211), and 15.6% (12,568/80,543), respectively. Among them, the infant group (0‐1 y) had the highest birthday week proportions from April to July compared to other age groups, with values of 43.54% (2436/5595), 51.85% (3689/7115), 48.1% (3971/8256), and 39.42% (3450/8753), respectively. During the second peak from October to December, the overall birthday week proportions were 10.6% (9660/91,169), 11.63% (10,046/86,375), and 11.85% (10,102/85,219), respectively, and birthday week proportions in the infant group were 28.56% (2564/8979), 27.4% (2439/8901), and 28.64% (2557/8929), respectively. In the trough periods from January to March and from August to September, the overall birthday week proportions were lower than those in peak periods.

Figure 2. Cumulative HFMD cases by age (measured in days) and sex among children aged 0‐7 years, stratified by months of birth (A-L) in Yunnan Province, China (2008‐2022). HFMD: hand, foot, and mouth disease.
Figure 3. (A) Bar graph of cumulative HFMD cases and cases during the birthday week, and (B) heat map of birthday week proportions, across different age groups, stratified by months of birth in Yunnan Province, China (2008‐2022). HFMD: hand, foot, and mouth disease.
Stratified by Reporting Years

By conducting analyses across age groups stratified by reporting years (Figure 4, Figure 5, and Table S3 in Multimedia Appendix 1), we found a declining trend of overall birthday week proportions from 33.74% (3914/11,600) in 2008 to 2.77% (2254/81,372) in 2022 (Cochran-Armitage trend test: Z=−102.53, P<.001). This trend was observed across 4 different age groups, from 61.06% (784/1284) to 8.65% (383/4428) in the 0‐1 year group, from 32.36% (1846/5704) to 2.71% (873/32,253) in the 1‐3 years group, from 26.63% (1092/4100) to 2.23% (881/39,477) in the 3‐7 years group, and from 37.5% (192/512) to 2.24% (117/5214) in the >7 years group (Z=−44.71, −69.79, −48.16, and −25.57, respectively, all P<.001). There was a substantial point of decline: the birthday week proportion in 2017 was approximately half of that in 2015.

Figure 4. HFMD cases by age (measured in days) and sex among children aged 0‐7 years, stratified by reporting years (2008‐2022; A-O) in Yunnan Province, China. HFMD: hand, foot, and mouth disease.
Figure 5. (A) The age group composition of cumulative HFMD cases and cases during the birthday week, and (B) birthday week proportions, with reporting years (2008‐2022) in Yunnan Province, China. HFMD: hand, foot, and mouth disease.

The Results of Modified Poisson Regression

The modified Poisson regression model further supported the results of the simple subgroup descriptions. Compared to children aged >7 years, infants aged 0‐1 year were more likely to be infected with HFMD during their birthday week (relative risk [RR] 1.182, 95% CI 1.177‐1.185; P<.001). Compared to January, those born during the peak months of the HFMD epidemic—April (RR 1.037, 95% CI 1.035‐1.040; P<.001), May (RR 1.087, 95% CI 1.084‐1.090; P<.001), June (RR 1.084, 95% CI 1.081-1.087; P<.001), July (RR 1.048, 95% CI 1.045-1.051; P<.001), October (RR 1.007, 95% CI 1.005-1.010; P<.001), November (RR 1.017, 95% CI 1.014-1.019; P<.001), and December (RR 1.016, 95% CI 1.013-1.018; P<.001)—exhibited a higher propensity for contracting HFMD during their birthday week. Additionally, there was a decreasing trend in risks over the years, with a relatively significant decline from 2015 to 2017 (all P<.001; Table 2).

Table 2. Modified Poisson regression by conditional subgroups using HFMDa surveillance data from Yunnan Province, China (2008‐2022).
Variables and subgroupsRelative risk95% CIP value
Sex
Female1.0000.998-1.001.41
Age group (years)
0-11.1821.177-1.185<.001
1-30.9940.992-0.997<.001
3-70.9680.965-0.970<.001
Month of birth
Feb0.9720.970-0.975<.001
Mar0.9890.987-0.991<.001
Apr1.0371.035-1.040<.001
May1.0871.084-1.090<.001
Jun1.0841.081-1.087<.001
Jul1.0481.045-1.051<.001
Aug0.9820.980-0.985<.001
Sep0.9950.992-0.997<.001
Oct1.0071.005-1.010<.001
Nov1.0171.014-1.019<.001
Dec1.0161.013-1.018<.001
Reporting year
20090.9700.962-0.977<.001
20100.9520.946-0.958<.001
20110.9230.917-0.929<.001
20120.9140.908-0.919<.001
20130.8880.883-0.894<.001
20140.8840.878-0.889<.001
20150.8900.885-0.896<.001
20160.8440.839-0.849<.001
20170.8270.822-0.832<.001
20180.8120.807-0.816<.001
20190.8120.807-0.817<.001
20200.8050.799-0.809<.001
20210.7940.789-0.799<.001
20220.7920.787-0.796<.001

aHFMD: hand, foot, and mouth disease.


Principal Findings

By analyzing the surveillance data of 973,410 HFMD cases in Yunnan Province, China, and presenting the age of cases by days, we found that 12.02% (n=116,976) of cases occurred during the birthday week, which is 6.27 times the average weekly proportion of 1.92% (7/365) in a year. Subgroup analyses demonstrated that the birthday week proportions were similar between male and female individuals. Significant differences in birthday week proportions among different age groups and months of birth were observed (all P<.001). Compared to other age groups, the infant group aged 0‐1 year had the highest birthday week proportions (30,539/90,709, 33.67%), which is 17.57 times the average weekly proportion. Compared to other months, patients born from April to July and from October to December, the peak months of the HFMD epidemic, had higher birthday week proportions. Additionally, there was a decreasing trend in birthday week proportions from 2008 to 2022, dropping from 33.74% (3914/11,600) to 2.77% (2254/81,372). The results of the modified Poisson regression model further supported the findings of these subgroup analyses.

Although the higher proportion of case numbers during the birthday week in infants compared to other age groups was partly due to the additive effect of the loss of maternal antibodies with increasing age in infancy [23,27], this combined result implied a relatively obvious practical significance for HFMD prevention and control. The larger birthday week proportions in those born during the peak months of the HFMD epidemic were due to the combined effect of the birthday week effect and the seasonality of HFMD. HFMD viruses are more prevalent in the natural environment during peak periods due to climatic and meteorological changes [13,14]. For the decreasing trends in birthday week proportions over the years, our assumption was that this might be related to the improvements in reporting quality due to the annual routine HFMD-related supervision, training, and assessment activities [28,29]. In the early years, the quality of reporting might not have been high. Notably, the significant drops from 2015 to 2017 coincided with events that likely improved reporting quality. From October 1, 2015, to September 30, 2016, to strengthen HFMD prevention and control in the country and improve surveillance, the General Office of the National Health and Family Planning Commission launched a pilot HFMD surveillance program, with Yunnan Province as one of the pilot provinces [30]. The improvements in reporting and surveillance might account for much of the decreasing trend in birthday week proportions. However, the heterogeneity in the decreasing rate among different age groups (eg, the birthday week proportions for the infant group aged 0‐1 y in 2022 was 14.1% [8.65%/61.06%] of that in 2008, whereas for the groups aged 1‐3 y and 3‐7 y, the birthday week proportions in 2022 were 8.37% [2.71%/32.36% and 2/23%/26.63%] of that in 2008, and for the group aged >7 y, it was 5.97% [2.24%/37.5%]) suggests that the phenomenon of the birthday week effect cannot not be completely explained by date-entry errors or inaccuracies in the data collection process. Additionally, analyzing the data in 2022 alone showed that all age groups had higher birthday week proportions than the average of 1.92% (7/365), especially the 0‐1 year infant group and 1‐3 years group, with 8.65% (383/4428) and 2.71% (873/32,253) of cases occurring during the birthday week, respectively. Furthermore, we noticed that the increased risk of HFMD spanned the week including the 6 days before the birthday, particularly the 3 days before, not just the exact birthday. This observation does not align well with the possible errors made by health care providers for convenience when entering patients’ information. Therefore, the birthday week effect phenomenon is indeed related to other factors.

The higher exposure risk may explain why the incidence of HFMD was higher during the patients’ birthday week. First, on the birthday, compared to other days of the year, family members, teachers, classmates, and friends might engage in celebration activities such as having meals together and going to playgrounds, which could increase the risk of exposure to and infection with HFMD [31]. It has been reported that birthday parties are associated with a higher risk of children contracting Salmonella enteritidis PT6 [32] and Microsporum canis [33]. Second, they might consume foods deviating from their usual diet, including birthday cakes, which could impact their gastrointestinal function and increase the risks of enterovirus infection [34,35].

Previous studies [15-21] that reported a positive correlation between birthdays and certain health and disease outcomes have also attributed their findings to birthday gatherings. For instance, birthday gatherings might serve as the distracting life events; patients who underwent surgery on a surgeon’s birthday exhibited higher mortality compared to those who had surgery on other days [18]. These studies also considered some psychosomatic mechanisms. For example, a birthday may represent an acute psychosocial stressor for some individuals, inducing various emotional, physical, and mental changes. Stressful life events can trigger vascular events such as acute stroke, myocardial infarction, and sudden cardiac death [19]. Additionally, some studies explained the birthday rhythm of diseases or death using concepts such as suicide [17] or “birthday blues” [16] (“birthday pressure”). The “postponement of death” phenomenon suggests that an approaching birthday or holiday might provide critically ill patients an extra incentive to live until that day [17]. The “birthday blues” phenomenon suggests that a birthday or holiday might remind individuals of traumatic experiences, causing anxiety and other negative feelings that could lead to suicide [16]. These mechanisms, however, do not seem to appropriately explain our findings. However, previous studies found that the higher risk occurred around the birthday [17,21], which is consistent with this study.

These mechanisms discussed above reveal some relatively apparent explanatory factors that have been widely discussed and partially accepted; however, they might not comprehensively explain our finding. We boldly hypothesize that the birthday week effect might also be related to the body’s biological rhythms. The birthday week effect appears to be synchronized with geophysical cycles. Many previous studies [36-38] have found that the circadian and circannual cycles of all organisms, including humans, are mainly regulated by their reaction to sunlight (such as photoperiod), and many of their behaviors and physiological activities (including immunity [39,40]) exhibit obvious rhythmicity in response to light. Presumably, experiencing a birthday is equivalent to experiencing a complete revolution cycle of Earth, with the same accumulated light and heat effects from the Earth’s revolution. However, the birthday week, situated at the junction of 2 accumulated cycles, might make individuals more susceptible to disease, possibly due to lowered immunity.

Limitations

There were limitations to this study. We only revealed the phenomenon of the birthday week effect and provided possible explanations from several different angles; however, we lack certain experiments or practical evidence to verify these mechanisms. In the future, more studies are needed to investigate and explain this phenomenon. For example, research can be conducted to quantitatively assess the improvements in surveillance systems and reporting quality, as well as the exposure risks of HFMD during the birthday week. Additionally, data on other diseases could be analyzed to explore whether this phenomenon exists. Furthermore, related animal experiments could be carried out to verify possible biological mechanisms.

Conclusion

In conclusion, this was an interesting study that reported a novel birthday week effect of HFMD, particularly for infants who were about to celebrate their first birthday and those born during the peak months of the HFMD epidemic. Improvements in surveillance systems and case reporting quality might explain the decreasing trend of the birthday week effect over the years. Additionally, high exposure risks during the birthday period might also account for the occurrence of this phenomenon. Although potential causes and physiological mechanisms need to be verified, our study provides theoretical evidence for the prevention and control of HFMD, especially for susceptible subgroups. To some extent, raising public awareness of the increased HFMD risk during this personally significant time and reducing unnecessary social activities during the birthday period will benefit HFMD prevention and control.

Acknowledgments

This work was supported by the Tianjin University Science and Technology Innovation Leading Talent Cultivation Project (2024XQM-0024) and the North Sichuan Medical College Research and Development Fund Project (CBY23-QNA66).

Data Availability

The datasets supporting the findings of this study are available from the corresponding author on reasonable request. Codes for conducting the main analysis is available on GitHub [41].

Authors' Contributions

PJ, XY, TS, L Huang, and TC contributed to concept and design. MX, L Hao, WS, HY, and TH contributed to data collection. PJ, XY, and TS contributed to data analysis of and interpretation of data. PJ, XY, and L Huang contributed to the drafting of the manuscript. TS, XY, and TC contributed to critical revision of the manuscript for important intellectual content. ZL and MX contributed to administrative, technical, or material support. All authors read and approved the final version of this manuscript.

Conflicts of Interest

None declared.

Multimedia Appendix 1

Cumulative hand, foot, and mouth disease (HFMD) cases per day and results stratified by months of birth and reporting years.

DOCX File, 58 KB

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CDC: Centers for Disease Control and Prevention
HFMD: hand, foot, and mouth disease
NSNIDP: National Surveillance of Notifiable Infectious Disease Program
RR: relative risk


Edited by Amaryllis Mavragani; submitted 06.04.24; peer-reviewed by Hexiang Peng, Xianfeng Zhou; final revised version received 02.07.24; accepted 04.07.24; published 09.09.24.

Copyright

© Pei Jiang, Xiangyu Yan, Tongjian Cai, Longxin Huang, Zhenzhong Liu, Linhui Hao, Tian Huang, Haijun Yang, Min Xu, Wenhui Shi, Tiejun Shui. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 9.9.2024.

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