Objective:To analyze the relationship between social function and family support in young and middle-aged patients undergoing peritoneal dialysis (PD).Methods:In this cross-sectional study, the patients undergoing maintenance PD therapy for more than 3 months at the Department of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, from May to October 2023 were recruited retrospectively. The social dysfunction screening scale and family support self-rating scale were used to evaluate the social dysfunction and family support of PD patients, respectively. The social demographic and clinical data of the patients were collected. Logistic regression analysis model was used to identify associated factors of social dysfunction in PD patients.Results:A total of 359 PD patients were recruited with age of (42.6±9.5) years old. Among them, 197 patients (54.9%) were males, and 33 patients (9.2%) were complicated with diabetes. The dialysis age was 28.8 (13.5, 56.3) months. The score of social function was 2 (1, 4), and the score of family support was (10.5±2.2). There were 199 patients (55.4%) having social dysfunction. There were 224 patients (62.4%) employed after PD. Compared with the normal social function group, the social dysfunction group had significantly lower score in family support ( Z=-2.613, P=0.009), serum potassium ( t=-2.725, P=0.007), urea clearance index ( Z=-2.346, P=0.019) and proportions of married status ( χ2=6.847, P=0.009), pre-dialysis employment ( χ2=3.996, P=0.046) and post-dialysis employment ( χ2=8.331, P=0.004), and higher serum creatinine ( Z=2.175, P=0.030), and proportions of annual household income < 100 000 yuan ( χ2=6.270, P=0.012) and diabetes mellitus ( χ2=4.400, P=0.036). Multivariate logistic regression analysis revealed that family support ( OR=0.828, 95% CI 0.733-0.935, P=0.002), diabetes mellitus ( OR=3.551, 95% CI 1.456-8.658, P=0.005) and serum potassium ( OR=0.559, 95% CI 0.374-0.835, P=0.005) were independent correlated factors of social dysfunction in young and middle-aged PD patients. Conclusions:The prevalence of social dysfunction is 55.4%, and the employment rate is 62.4% in young and middle-aged PD patients. Poor family support, diabetes mellitus and decreased serum potassium level are independently associated with social dysfunction in young and middle-aged PD patients.

Objective:To analyze the effect of precipitation on road traffic injuries (RTI) in Zhejiang Province.Methods:The RTI surveillance and meteorological data from 2009 to 2022 in Zhejiang Province were collected. Based on the time-stratified case-crossover design, the precipitation of case day and control day was compared, and the distributed lag nonlinear model was applied to analyze the correlation of precipitation and RTI. Stratified analyses were conducted to analyze the effect modification of gender, age, injury location, and temperature. An attributable fraction was used to assess the burden of RTI caused by precipitation.Results:A total of 239 970 RTIs were monitored in Zhejiang Province from 2009 to 2022, averaging 46 daily cases. The distributed lag nonlinear model showed that compared with no rain, the risk of RTI increased first and then decreased with the increase of precipitation. The risk of RTI was the highest when the precipitation was 30.99 mm ( OR=1.08, 95% CI: 1.05-1.11). The adverse effects on RTI mainly occurred on the day of precipitation, and it showed insignificant or protective effects with the extension of lag days. 1.34%(95% CI: 1.31%-1.36%) of RTI could be attributed to precipitation. Stratified analysis showed that gender, age, injury location, and temperature may modify the effect of precipitation on RTI. Precipitation caused a heavier burden on RTI in subgroups aged 18-64, females, and occurring on roads and in low temperatures. Conclusions:Precipitation can increase the risk of RTI. People aged 18-64 or females are the key groups for RTI prevention, and prevention and control efforts of precipitation-related RTI should be increased in road and low-temperature environments.

Objective To explore the correlation between the pulmonary artery diameter(PAD),PAD/aortic diameter(AOD),right ventricular diameter(RVD),RVD/left ventricular diameter(LVD)measured on pulmonary artery CT angiography(CTPA)cross-sectional images and the degree of embolism,cardiac biomarkers in patients with medium-to-high risk acute pulmonary embolism(APE).Methods The clinical data of 53 patients with medium-to-high risk APE,who received interventional treatment at the Putian Municipal First Hospital of China From January 2021 to December 2023,were retrospectively analyzed.The PAD,PAD/AOD,RVD,and RVD/LVD were measured on CTPA cross-sectional images.The correlations of the above indexes with CT embolism index(CTEI),N terminal pro B type natriuretic peptide(NT-proBNP),and cardiac troponin Ⅰ(cTnⅠ)were analyzed.Results A weak-moderate positive correlation existed between PAD,RVD,RVD/LVD and CTEI(r=0.506,r=0.310,r=0.452 respectively,P＜0.001,P=0.024,P=0.001 respectively),while no correlation existed between PAD/AOD and CTEI(r=0.247,P=0.075).Compared with the NT-proBNP negative group,in the NT-proBNP positive group the values of PAD,PAD/AOD and RVD/LVD were higher(all P＜0.05),and there was no statistically significant difference in RVD value between the two groups(P＞0.05).A weak-moderate positive correlation existed between NT-proBNP and PAD,PAD/AOD,RVD,RVD/LVD(r=0.454,r=0.326,r=0.302,r=0.405 respectively,P=0.001,P=0.017,P=0.028,P=0.003 respectively).There were no statistically significant differences in PAD,PAD/AOD,RVD and RVD/LVD values between the cTnⅠ negative group and the cTnI positive group(all P＞0.05).No correlation existed between cTnⅠ and PAD,PAD/AOD,RVD,RVD/LVD(r=0.188,r=0.042,r=-0.021,r=0.139 respectively,and P=0.195,P=0.772,P=0.884,P=0.342 respectively).Conclusion CTPA cross-sectional quantitative indicators are helpful in evaluating the embolism degree of APE and right heart function,but it cannot be used to assess myocardial injury.

Objective:To explore the influencing factors for skin pruritus and to construct a nomogram prediction model in peritoneal dialysis (PD) patients.Methods:It was a retrospective cross-sectional investigation study. The PD patients who were regularly followed up between July, 2023 and April, 2024 in PD center of the First Affiliated Hospital of Sun Yat-sen University were enrolled in this study. The pruritus status was evaluated by the 14-Item UP-Dial Scale. The general demographic data and clinical data were collected. The patients were divided into pruritus group and non-pruritus group according to the presence or absence of skin itching. The differences of clinical data and laboratory results were compared between the two groups. Logistic regression was used to analyze the associated factors for pruritus in PD patients. The nomogram model was constructed by R software. The receiver operating characteristic (ROC) curve analysis and the Hosmer-Lemeshow goodness-of-fit test were used to evaluate the performance of the model, and its clinical effectiveness was evaluated using the calibration curve.Results:A total of 315 PD patients were enrolled in this study, with age of (48.0±12.9) years, including 134 females (42.5%). Among them, 161 patients (51.1%) experienced skin pruritus. Of whom, 111 patients (68.9%) had mild pruritus, 34 patients (21.1%) had moderate pruritus, 16 patients (9.9%) had severe pruritus. The age ( t=-2.266, P=0.024), proportion of diabetes mellitus ( χ2=3.910, P=0.048), Charson comorbidity index ( Z=-2.458, P=0.014), blood eosinophil percentage ( Z=-2.385, P=0.017), C-reactive protein ( Z=-2.590, P=0.010), serum phosphorus ( Z=-3.233, P=0.001) and β2 microglobulin ( Z=-2.756, P=0.006) level in the pruritus group were higher than those in the non-pruritus group, and the measured glomerular filtration rate (mGFR) level ( Z=-3.708, P<0.001) of patients in the pruritus group was lower than that in the non-pruritus group. There were 262 patients in the training set and 53 patients in the validation set. The multivariate logistic regression analysis in the training set revealed that advanced age ( OR=1.032, 95% CI 1.010-1.054, P=0.004), lower mGFR ( OR=0.758, 95% CI 0.648-0.886, P<0.001), higher serum phosphorus ( OR=2.761, 95% CI 1.282-6.024, P=0.010), and elevated blood eosinophil percentage ( OR=1.098, 95% CI 1.012-1.191, P=0.025) were independent factors associated with pruritus in PD patients. The nomogram model constructed based on these indicators demonstrated good discrimination and calibration. In the training set, the area under the ROC curve ( AUC) was 0.757 (95% CI 0.699-0.816), with Hosmer-Lemeshow test χ2=4.979, P=0.760. In the validation set, the AUC was 0.779 (95% CI 0.651-0.907), and Hosmer-Lemeshow test χ2=12.938, P=0.114. Conclusions:The prevalence of skin pruritus is 51.1% in PD patient. Advanced age, lower mGFR, higher serum phosphorus and higher blood eosinophil percentage are the independent influencing factors for pruritus in PD patients. The nomogram model constructed based on these indicators shows excellent predictive performance for skin pruritus in PD patients.

Objective:To analyze and compare the reporting data of adverse events following immunization (AEFI) of influenza vaccines in Fujian Province from 2019 to 2023.Methods:Using the National Immunization Program Information Management System, the AEFI reports and vaccination data of influenza vaccines in Fujian Province from 2019 to 2023 were collected, and the reporting rates and clinical characteristics of AEFI of 6 types of influenza vaccines were compared. The 6 types of vaccines in the analysis were as follows: trivalent inactivated influenza vaccines (IIV3) for 6-35 months old people, IIV3 for ≥3 years old people, trivalent live attenuated nasal spray vaccine (LAIV3) for 3-17 years old people, quadrivalent inactivated influenza vaccines (IIV4) for 6-35 months old people, IIV4 for ≥6 months old people, and IIV4 for ≥3 years old people.Results:From 2019 to 2023, a total of 87 687.21 million doses of influenza vaccine were vaccinated in Fujian Province, and 510 cases of AEFI were reported, with a reporting rates of 5.82 per 100 000 doses. Among the 510 cases, 443 (86.86%) were general reactions, 56 (10.98%) were abnormal reactions, 1 (0.20%) was psychogenic reactions, and 10 (1.96%) were coincidence. There were no reports of vaccination accidents and vaccine quality accidents. The reporting rates of AEFI were relatively higher in 2019 and 2020 (18.38 and 18.00 per 100 000 doses, respectively), and lower in 2021, 2022 and 2023 (8.91, 10.68 and 2.30 per 100 000 doses, respectively); the differences were statistically significant (all P<0.05). The differences of reporting rates of AEFI between IIV3 for 6-35 months old people and IIV4 for 6-35 months old people, the injectable vaccines and nasal spray vaccines were not statistically significant. However, the reporting rates of overall AEFI, general reactions and abnormal reactions of IIV3 for ≥3 years old people were all higher than those of IIV4 for ≥3 years old people (7.77 per 100 000 doses vs. 3.88 per 100 000 doses, 6.18 per 100 000 doses vs. 3.59 per 100 000 doses, 1.41 per 100 000 doses vs. 0.19 per 100 000 doses). The reporting rates of overall AEFI and general reaction of IIV3 for 6-35 months old people were both higher than those of IIV3 for ≥3 years old (16.47 per 100 000 doses vs. 7.77 per 100 000 doses, 13.05 per 100 000 doses vs. 6.18 per 100 000 doses), and the differences were statistially significant (all P<0.05). The reporting rates of general abnormal reactions of IIV4 for 6-35 months old and ≥ 6 months old people were both higher than those of IIV4 for ≥3 years old people (14.73 per 100 000 doses and 9.52 per 100 000 doses vs. 3.88 per 100 000 doses); the reporting rates of general reactions and abnormal reactions of IIV4 for ≥6 months old people were both higher than those of IIV4 for ≥3 years old people (12.94 per 100 000 doses vs. 3.59 per 100 000 doses, 1.34 per 100 000 doses vs. 0.19 per 100 000 doses), the differences were statistcially significant (all P<0.05). In terms of clinical features, the reporting rates of fever (37.6-38.5 ℃ and ≥ 38.5 ℃), local redness and swelling (diameter 2.6-5.0 cm), and local induration (diameter ≤2.5 cm and 2.6-5.0 cm) after vaccination of IIV3 for ≥3 years old people were higher than those of IIV4 for ≥ 3 years old people (1.41 per 100 000 doses vs. 0.64 per 100 000 doses, 3.00 per 100 000 doses vs. 1.16 per 100 000 doses); the reporting rates of allergic rash and angioedema of IIV3 for ≥ 3 years old people were higher than those of IIV4 for ≥3 years old people (0.53 per 100 000 doses vs. 0.12 per 100 000 doses, 0.35 per 100 000 doses vs. 0); the differences were statistically significant (all P<0.016 7). Conclusions:The reporting rates of AEFI for influenza vaccines in Fujian Province from 2019 to 2023 was showing a downward trend. The AEFI was mainly general reactions. The reporting rates of AEFI were different among different influenza vaccines, but the overall safety was good.

Objective:To analyze the effect of precipitation on road traffic injuries (RTI) in Zhejiang Province.Methods:The RTI surveillance and meteorological data from 2009 to 2022 in Zhejiang Province were collected. Based on the time-stratified case-crossover design, the precipitation of case day and control day was compared, and the distributed lag nonlinear model was applied to analyze the correlation of precipitation and RTI. Stratified analyses were conducted to analyze the effect modification of gender, age, injury location, and temperature. An attributable fraction was used to assess the burden of RTI caused by precipitation.Results:A total of 239 970 RTIs were monitored in Zhejiang Province from 2009 to 2022, averaging 46 daily cases. The distributed lag nonlinear model showed that compared with no rain, the risk of RTI increased first and then decreased with the increase of precipitation. The risk of RTI was the highest when the precipitation was 30.99 mm ( OR=1.08, 95% CI: 1.05-1.11). The adverse effects on RTI mainly occurred on the day of precipitation, and it showed insignificant or protective effects with the extension of lag days. 1.34%(95% CI: 1.31%-1.36%) of RTI could be attributed to precipitation. Stratified analysis showed that gender, age, injury location, and temperature may modify the effect of precipitation on RTI. Precipitation caused a heavier burden on RTI in subgroups aged 18-64, females, and occurring on roads and in low temperatures. Conclusions:Precipitation can increase the risk of RTI. People aged 18-64 or females are the key groups for RTI prevention, and prevention and control efforts of precipitation-related RTI should be increased in road and low-temperature environments.

Objective:To analyze and compare the reporting data of adverse events following immunization (AEFI) of influenza vaccines in Fujian Province from 2019 to 2023.Methods:Using the National Immunization Program Information Management System, the AEFI reports and vaccination data of influenza vaccines in Fujian Province from 2019 to 2023 were collected, and the reporting rates and clinical characteristics of AEFI of 6 types of influenza vaccines were compared. The 6 types of vaccines in the analysis were as follows: trivalent inactivated influenza vaccines (IIV3) for 6-35 months old people, IIV3 for ≥3 years old people, trivalent live attenuated nasal spray vaccine (LAIV3) for 3-17 years old people, quadrivalent inactivated influenza vaccines (IIV4) for 6-35 months old people, IIV4 for ≥6 months old people, and IIV4 for ≥3 years old people.Results:From 2019 to 2023, a total of 87 687.21 million doses of influenza vaccine were vaccinated in Fujian Province, and 510 cases of AEFI were reported, with a reporting rates of 5.82 per 100 000 doses. Among the 510 cases, 443 (86.86%) were general reactions, 56 (10.98%) were abnormal reactions, 1 (0.20%) was psychogenic reactions, and 10 (1.96%) were coincidence. There were no reports of vaccination accidents and vaccine quality accidents. The reporting rates of AEFI were relatively higher in 2019 and 2020 (18.38 and 18.00 per 100 000 doses, respectively), and lower in 2021, 2022 and 2023 (8.91, 10.68 and 2.30 per 100 000 doses, respectively); the differences were statistically significant (all P<0.05). The differences of reporting rates of AEFI between IIV3 for 6-35 months old people and IIV4 for 6-35 months old people, the injectable vaccines and nasal spray vaccines were not statistically significant. However, the reporting rates of overall AEFI, general reactions and abnormal reactions of IIV3 for ≥3 years old people were all higher than those of IIV4 for ≥3 years old people (7.77 per 100 000 doses vs. 3.88 per 100 000 doses, 6.18 per 100 000 doses vs. 3.59 per 100 000 doses, 1.41 per 100 000 doses vs. 0.19 per 100 000 doses). The reporting rates of overall AEFI and general reaction of IIV3 for 6-35 months old people were both higher than those of IIV3 for ≥3 years old (16.47 per 100 000 doses vs. 7.77 per 100 000 doses, 13.05 per 100 000 doses vs. 6.18 per 100 000 doses), and the differences were statistially significant (all P<0.05). The reporting rates of general abnormal reactions of IIV4 for 6-35 months old and ≥ 6 months old people were both higher than those of IIV4 for ≥3 years old people (14.73 per 100 000 doses and 9.52 per 100 000 doses vs. 3.88 per 100 000 doses); the reporting rates of general reactions and abnormal reactions of IIV4 for ≥6 months old people were both higher than those of IIV4 for ≥3 years old people (12.94 per 100 000 doses vs. 3.59 per 100 000 doses, 1.34 per 100 000 doses vs. 0.19 per 100 000 doses), the differences were statistcially significant (all P<0.05). In terms of clinical features, the reporting rates of fever (37.6-38.5 ℃ and ≥ 38.5 ℃), local redness and swelling (diameter 2.6-5.0 cm), and local induration (diameter ≤2.5 cm and 2.6-5.0 cm) after vaccination of IIV3 for ≥3 years old people were higher than those of IIV4 for ≥ 3 years old people (1.41 per 100 000 doses vs. 0.64 per 100 000 doses, 3.00 per 100 000 doses vs. 1.16 per 100 000 doses); the reporting rates of allergic rash and angioedema of IIV3 for ≥ 3 years old people were higher than those of IIV4 for ≥3 years old people (0.53 per 100 000 doses vs. 0.12 per 100 000 doses, 0.35 per 100 000 doses vs. 0); the differences were statistically significant (all P<0.016 7). Conclusions:The reporting rates of AEFI for influenza vaccines in Fujian Province from 2019 to 2023 was showing a downward trend. The AEFI was mainly general reactions. The reporting rates of AEFI were different among different influenza vaccines, but the overall safety was good.

Objective:To explore the influencing factors for skin pruritus and to construct a nomogram prediction model in peritoneal dialysis (PD) patients.Methods:It was a retrospective cross-sectional investigation study. The PD patients who were regularly followed up between July, 2023 and April, 2024 in PD center of the First Affiliated Hospital of Sun Yat-sen University were enrolled in this study. The pruritus status was evaluated by the 14-Item UP-Dial Scale. The general demographic data and clinical data were collected. The patients were divided into pruritus group and non-pruritus group according to the presence or absence of skin itching. The differences of clinical data and laboratory results were compared between the two groups. Logistic regression was used to analyze the associated factors for pruritus in PD patients. The nomogram model was constructed by R software. The receiver operating characteristic (ROC) curve analysis and the Hosmer-Lemeshow goodness-of-fit test were used to evaluate the performance of the model, and its clinical effectiveness was evaluated using the calibration curve.Results:A total of 315 PD patients were enrolled in this study, with age of (48.0±12.9) years, including 134 females (42.5%). Among them, 161 patients (51.1%) experienced skin pruritus. Of whom, 111 patients (68.9%) had mild pruritus, 34 patients (21.1%) had moderate pruritus, 16 patients (9.9%) had severe pruritus. The age ( t=-2.266, P=0.024), proportion of diabetes mellitus ( χ2=3.910, P=0.048), Charson comorbidity index ( Z=-2.458, P=0.014), blood eosinophil percentage ( Z=-2.385, P=0.017), C-reactive protein ( Z=-2.590, P=0.010), serum phosphorus ( Z=-3.233, P=0.001) and β2 microglobulin ( Z=-2.756, P=0.006) level in the pruritus group were higher than those in the non-pruritus group, and the measured glomerular filtration rate (mGFR) level ( Z=-3.708, P<0.001) of patients in the pruritus group was lower than that in the non-pruritus group. There were 262 patients in the training set and 53 patients in the validation set. The multivariate logistic regression analysis in the training set revealed that advanced age ( OR=1.032, 95% CI 1.010-1.054, P=0.004), lower mGFR ( OR=0.758, 95% CI 0.648-0.886, P<0.001), higher serum phosphorus ( OR=2.761, 95% CI 1.282-6.024, P=0.010), and elevated blood eosinophil percentage ( OR=1.098, 95% CI 1.012-1.191, P=0.025) were independent factors associated with pruritus in PD patients. The nomogram model constructed based on these indicators demonstrated good discrimination and calibration. In the training set, the area under the ROC curve ( AUC) was 0.757 (95% CI 0.699-0.816), with Hosmer-Lemeshow test χ2=4.979, P=0.760. In the validation set, the AUC was 0.779 (95% CI 0.651-0.907), and Hosmer-Lemeshow test χ2=12.938, P=0.114. Conclusions:The prevalence of skin pruritus is 51.1% in PD patient. Advanced age, lower mGFR, higher serum phosphorus and higher blood eosinophil percentage are the independent influencing factors for pruritus in PD patients. The nomogram model constructed based on these indicators shows excellent predictive performance for skin pruritus in PD patients.

Objective:To analyze the relationship between social function and family support in young and middle-aged patients undergoing peritoneal dialysis (PD).Methods:In this cross-sectional study, the patients undergoing maintenance PD therapy for more than 3 months at the Department of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, from May to October 2023 were recruited retrospectively. The social dysfunction screening scale and family support self-rating scale were used to evaluate the social dysfunction and family support of PD patients, respectively. The social demographic and clinical data of the patients were collected. Logistic regression analysis model was used to identify associated factors of social dysfunction in PD patients.Results:A total of 359 PD patients were recruited with age of (42.6±9.5) years old. Among them, 197 patients (54.9%) were males, and 33 patients (9.2%) were complicated with diabetes. The dialysis age was 28.8 (13.5, 56.3) months. The score of social function was 2 (1, 4), and the score of family support was (10.5±2.2). There were 199 patients (55.4%) having social dysfunction. There were 224 patients (62.4%) employed after PD. Compared with the normal social function group, the social dysfunction group had significantly lower score in family support ( Z=-2.613, P=0.009), serum potassium ( t=-2.725, P=0.007), urea clearance index ( Z=-2.346, P=0.019) and proportions of married status ( χ2=6.847, P=0.009), pre-dialysis employment ( χ2=3.996, P=0.046) and post-dialysis employment ( χ2=8.331, P=0.004), and higher serum creatinine ( Z=2.175, P=0.030), and proportions of annual household income < 100 000 yuan ( χ2=6.270, P=0.012) and diabetes mellitus ( χ2=4.400, P=0.036). Multivariate logistic regression analysis revealed that family support ( OR=0.828, 95% CI 0.733-0.935, P=0.002), diabetes mellitus ( OR=3.551, 95% CI 1.456-8.658, P=0.005) and serum potassium ( OR=0.559, 95% CI 0.374-0.835, P=0.005) were independent correlated factors of social dysfunction in young and middle-aged PD patients. Conclusions:The prevalence of social dysfunction is 55.4%, and the employment rate is 62.4% in young and middle-aged PD patients. Poor family support, diabetes mellitus and decreased serum potassium level are independently associated with social dysfunction in young and middle-aged PD patients.

Climate change has led to an increasing frequency and intensity of extreme climate events such as heat and drought extremes with considerable global public health burden. This systematic review collected 87 domestic and international studies from 2000 to 2023, considering the impacts of heat extremes, drought extremes, and compound hot-dry events on infectious diseases attributable to various transmission pathways such as waterborne, foodborne, insect-borne, airborne, and contact-transmitted diseases. Our results showed that high temperature was associated with increased transmission risks of waterborne and foodborne diseases including infectious diarrheal diseases (cholera, dysentery, typhoid, and paratyphoid) and infectious gastroenteritis; vector-borne diseases including dengue fever, Zika virus (ZIKV) disease, chikungunya fever, malaria, West Nile fever, and Rift Valley fever; airborne diseases including influenza-like diseases, influenza A, measles, and mumps; and contact-transmitted diseases including HIV/AIDS, schistosomiasis, and leptospirosis. Additionally, drought conditions also amplified the transmission risks of waterborne and foodborne diseases including cholera, Escherichia coli infection, rotavirus infection, and hepatitis E; vector-borne diseases such as scrub typhus, schistosomiasis, hemorrhagic fever with renal syndrome, and West Nile fever; airborne diseases including meningococcal meningitis, pertussis, measles, and upper respiratory infections; and contact-transmitted diseases such as HIV/AIDS. Along with global warming, the frequency of compound high temperature and drought events shows a considerably increasing trend, causing more adverse health effects than heat or drought alone. However, there is limited research quantifying their effects on infectious diseases. These associations may be mediated through temperature and precipitation on infectious disease pathogens, transmission vectors, population susceptibility, public health services, and behaviors. In the context of climate change, the increasing occurrence of compound events of high temperatures and droughts raises health concerns, and further studies are needed to enhance our understanding of the impacts of climate change on infectious diseases and improve human adaption to climate change.