Respiratory syncytial virus seasonality, transmission zones, and implications for seasonal prevention strategy in China: a systematic analysis.

BACKGROUND: Respiratory syncytial virus (RSV) represents a substantial global health challenge, with a disproportionately high disease burden in low-income and middle-income countries. RSV exhibits seasonality in most areas globally, and a comprehensive understanding of within-country variations in RSV seasonality could help to define the timing of RSV immunisation programmes. This study focused on China, and aimed to describe the geographical distribution of RSV seasonality, identify distinct RSV transmission zones, and evaluate the potential suitability of a seasonal RSV prevention strategy. METHODS: We did a systematic analysis of RSV seasonality in China, with use of data on RSV activity extracted from a systematic review of studies published on Embase, MEDLINE, Web of Science, China National Knowledge Infrastructure, Wanfang Data, Chongqing VIP Information, and SinoMed, from database inception until May 5, 2023. We included studies of any design in China reporting at least 25 RSV cases, which aggregated RSV case number by calendar month or week at the province level, and with data covering at least 12 consecutive months before the year 2020 (prior to the COVID-19 pandemic). Studies that used only serology for RSV testing were excluded. We also included weekly data on RSV activity from open-access online databases of the Taiwan National Infection Disease Statistics System and Hong Kong Centre for Health Protection, applying the same eligiblity requirements. Across all datasets, we excluded data on RSV activity from Jan 1, 2020, onwards. We estimated RSV seasonal epidemic onset and duration using the annual average percentage (AAP) approach, and summarised seasonality at the provincial level. We used Pearson's partial correlation analysis to assess the correlation between RSV season duration and the latitude and longitude of the individual provinces. To define transmission zones, we used two independent approaches, an infant-passive-immunisation-driven approach (the moving interval approach, 6-month interval) and a data-driven approach (k-means), to identify groups of provinces with similar RSV seasonality. The systematic review was registered on PROSPERO, CRD42022376993. FINDINGS: A total of 157 studies were included along with the two online datasets, reporting data on 194 596 RSV cases over 442 study-years (covering the period from Jan 1, 1993 to Dec 31, 2019), from 52 sites in 23 provinces. Among 21 provinces with sufficient data (≥100 reported cases), the median duration of RSV seasonal epidemics was 4·6 months (IQR 4·1-5·4), with a significant latitudinal gradient (r=-0·69, p<0·0007), in that provinces on or near the Tropic of Cancer had the longest epidemic duration. We found no correlation between longitude and epidemic duration (r=-0·15, p=0·53). 15 (71%) of 21 provinces had RSV epidemics from November to March. 13 (62%) of 21 provinces had clear RSV seasonality (epidemic duration ≤5 months). The moving interval approach categorised the 21 provinces into four RSV transmission zones. The first zone, consisting of five provinces (Fujian, Guangdong, Hong Kong, Taiwan, and Yunnan), was assessed as unsuitable for seasonal RSV immunisation strategies; the other three zones were considered suitable for seasonal RSV immunisation strategies with the optimal start month varying between September (Hebei), October (Anhui, Chongqing, Henan, Hubei, Jiangsu, Shaanxi, Shandong, Shanghai, Sichuan, and Xinjiang), and November (Beijing, Gansu, Guizhou, Hunan, and Zhejiang). The k-means approach identified two RSV transmission zones, primarily differentiated by whether the province was on or near the Tropic of Cancer (Fujian, Guangdong, Hong Kong, Taiwan, Yunan, and Hunan) or not (the remaining 15 provinces). INTERPRETATION: Although substantial variations in RSV seasonality were observed across provinces of China, our study identified distinct transmission zones with shared RSV circulating patterns. These findings could have important implications for decision making on RSV passive immunisation strategy. Furthermore, the methodological framework in this study for defining RSV seasons and identifying RSV transmission zones is potentially applicable to other countries or regions. FUNDING: Nanjing Medical University. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.

Impact of Subgroup Distribution on Seasonality of Human Respiratory Syncytial Virus: A Global Systematic Analysis.

BACKGROUND: Previous studies reported inconsistent findings regarding the association between respiratory syncytial virus (RSV) subgroup distribution and timing of RSV season. We aimed to further understand the association by conducting a global-level systematic analysis. METHODS: We compiled published data on RSV seasonality through a systematic literature review, and unpublished data shared by international collaborators. Using annual cumulative proportion (ACP) of RSV-positive cases, we defined RSV season onset and offset as ACP reaching 10% and 90%, respectively. Linear regression models accounting for meteorological factors were constructed to analyze the association of proportion of RSV-A with the corresponding RSV season onset and offset. RESULTS: We included 36 study sites from 20 countries, providing data for 179 study-years in 1995-2019. Globally, RSV subgroup distribution was not significantly associated with RSV season onset or offset globally, except for RSV season offset in the tropics in 1 model, possibly by chance. Models that included RSV subgroup distribution and meteorological factors explained only 2%-4% of the variations in timing of RSV season. CONCLUSIONS: Year-on-year variations in RSV season onset and offset are not well explained by RSV subgroup distribution or meteorological factors. Factors including population susceptibility, mobility, and viral interference should be examined in future studies.

Understanding the risk of transmission of respiratory viral infections in childcare centres: protocol for the DISeases TrANsmission in ChildcarE (DISTANCE) multicentre cohort study.

INTRODUCTION: Childcare centre is considered a high-risk setting for transmission of respiratory viruses. Further evidence is needed to understand the risk of transmission in childcare centres. To this end, we established the DISeases TrANsmission in ChildcarE (DISTANCE) study to understand the interaction among contact patterns, detection of respiratory viruses from environment samples and transmission of viral infections in childcare centres. METHODS AND ANALYSIS: The DISTANCE study is a prospective cohort study in multiple childcare centres of Jiangsu Province, China. Study subjects will be childcare attendees and teaching staff of different grades. A range of information will be collected from the study subjects and participating childcare centres, including attendance, contact behaviours (collected by onsite observers), respiratory viral infection (weekly respiratory throat swabs tested by multiplex PCR), presence of respiratory viruses on touch surfaces of childcare centres and weekly follow-up survey on respiratory symptoms and healthcare seeking among subjects tested positive for any respiratory viruses. Detection patterns of respiratory viruses from study subjects and environment samples, contact patterns, and transmission risk will be analysed by developing statistical and mathematical models as appropriate. The study has been initiated in September 2022 in 1 childcare centre in Wuxi City, with a total of 104 children and 12 teaching staff included in the cohort; data collection and follow-up is ongoing. One more childcare centre in Nanjing City (anticipated to include 100 children and 10 teaching staff) will start recruitment in 2023. ETHICS AND DISSEMINATION: The study has received ethics approval from Nanjing Medical University Ethics Committee (No. 2022-936) and ethics approval from Wuxi Center for Disease Control and Prevention Ethics Committee (No. 2022-011). We plan to disseminate the study findings mainly through publications in peer-reviewed journals and presentations in academic conferences. Aggregated research data will be shared freely to researchers.

Prevalence, risk, and protective factors of self-stigma for people living with depression: A systematic review and meta-analysis.

BACKGROUND: People living with depression are subjected to widespread stigmatization worldwide. Self-stigma may negatively affect patients' treatment, recovery, and psychological well-being. This review aims to summarize and synthesize the evidence on the prevalence, risk, and protective factors of depression self-stigma. METHODS: Four online databases, PubMed, PsycINFO, Web of Science, and Embase, were searched to identify eligible studies. Fifty-six studies involving a total of 11,549 samples were included in the final analysis. Four reviewers independently screened the literature, extracted data, and assessed the risk of bias in eligible studies. Pearson's r was chosen as the effect size metric of risk and protective factors. RESULTS: The results showed that the global prevalence of depression self-stigma was 29 %. Levels of self-stigma varied across regions, but this difference was not significant. Two demographic factors were identified: ethnicity (r = 0.10, p < 0.05) and having a partner/married (r = -0.22, p < 0.001). Five risk factors were identified: depression severity (r = 0.33, p < 0.01), public stigma (r = 0.44, p < 0.001), treatment stigma (r = 0.46, p < 0.001), perceived stigma (r = 0.37, p < 0.001), and enacted stigma (r = 0.71, p < 0.001). Five protective factors were identified: quality of life (r = -0.38, p < 0.001), social relationship (r = -0.26, p < 0.05), self-esteem (r = -0.46, p < 0.001), extroversion (r = -0.32, p < 0.001), and social functioning (r = -0.49, p < 0.001). LIMITATIONS: Heterogeneity was observed in some of the results. Causality cannot be inferred due to the predominance of cross-sectional designs among the included literature. CONCLUSIONS: Risk and protective factors of depression self-stigma exist across many dimensions. Future research should examine the inner mechanisms and effectiveness of interventions to reduce stigma.

Giant panda-focused conservation has limited value in maintaining biodiversity and carbon sequestration.

Biodiversity and climate are interconnected through carbon. Drivers of climate change and biodiversity loss interact in complex ways to produce outcomes that may be synergistic, and biodiversity loss and climate change reinforce each other. Prioritizing the conservation of flagship and umbrella species is often used as a surrogate strategy for broader conservation goals, but it is unclear whether these efforts truly benefit biodiversity and carbon stocks. Conservation of the giant panda offers a paradigm to test these assumptions. Here, using the benchmark estimates of ecosystem carbon stocks and species richness, we investigated the relationships among the giant panda, biodiversity, and carbon stocks and assessed the implications of giant panda conservation for biodiversity and carbon-focused conservation efforts. We found that giant panda density and species richness were significantly positively correlated, while no correlation was found between giant panda density and soil carbon or total carbon density. The established nature reserves protect 26 % of the giant panda conservation region, but these areas contain <21 % of the ranges of other species and <21 % of total carbon stocks. More seriously, giant panda habitats are still facing high risks of habitat fragmentation. Habitat fragmentation is negatively correlated with giant panda density, species richness, and total carbon density. The ongoing giant panda habitat fragmentation is likely to cause an additional 12.24 Tg C of carbon emissions over 30 years. Thus, giant panda-focused conservation efforts have effectively prevented giant panda extinction but have been less effective in maintaining biodiversity and high­carbon ecosystems. It is urgent for China to contribute to the development of an effective and representative national park system that integrates climate change issues into national biodiversity strategies and vice versa in dealing with the dual environmental challenges of biodiversity loss and climate change under a post-2020 framework.

Quality of life among family caregivers of people with schizophrenia in rural China.

PURPOSES: To investigate quality of life (QoL) of family caregivers of people with schizophrenia and examine the influencing factors of the QoL in a Chinese rural area. METHODS: This study included people with schizophrenia (n = 269) and their family caregivers (n = 269) from Xinjin district, Chengdu, China. Family caregivers' QoL was measured by the World Health Organization Quality of Life-Brief Form and its influencing factors was analyzed by the multivariate regression. RESULTS: Family caregivers of people with schizophrenia had very poor QoL across four domains. The regression analysis showed that physical domain of QoL was significantly associated with age, psychiatric symptoms of people with schizophrenia, and caregiving burden of family caregivers (p < 0.05). Psychological domain of QoL was significantly related to family caregivers' affiliate stigma, caregiving burden, and psychiatric symptoms of people with schizophrenia (p < 0.05). Social domain of QoL was significantly associated with age and psychiatric symptoms of people with schizophrenia, and affiliate stigma of family caregivers (p < 0.05). Environmental domain of QoL was significantly related to age and psychiatric symptoms of people with schizophrenia, and family caregivers' caregiving burden (p < 0.05). CONCLUSION: Family caregivers of people with schizophrenia had poor QoL in rural China. Family caregivers' QoL is significantly impacted by age and psychiatric symptoms of people with schizophrenia, caregivers' affiliate stigma and caregiving burden. Providing social support and psychosocial interventions for family caregivers of people with schizophrenia might be crucial to improve their QoL and caregiving.

Medication non-adherence and its influencing factors in persons with schizophrenia in rural China.

BACKGROUND: Few studies have been conducted to explore medication non-adherence in persons with schizophrenia (PWS) and its influencing factors in rural China. This study aimed to investigate the medication non-adherence and its influencing factors among PWS in rural China. METHODS: A total of 269 PWS and their family caregivers in Xinjin district, Chengdu, China were investigated on medication adherence and related factors. Logistic regression was employed to identify the influencing factors. RESULTS: The results showed that 37.6% of PWS had medication non-adherence. PWS living with family caregivers had significantly lower rate of medication non-adherence (34.7%) than those not living with family caregivers (60.0%) (p < 0.01). Family caregivers' affiliate stigma of mental illness, knowledge of mental illness and self-esteem were significantly related to patients' medication non-adherence (p < 0.05). PWS' employment status, living with family caregiver, present mental status and social support were significantly related to medication adherence. CONCLUSION: This study shows medication non-adherence is severe among PWS in rural China. Both patient- and family-related factors affect patients' medication adherence seriously. Except improving patients' treatment and mental status, development of family caregiving, social support network and intervention on reducing stigma of mental illness should be crucial for enhancing PWS' medication adherence.

The role of respiratory co-infection with influenza or respiratory syncytial virus in the clinical severity of COVID-19 patients: A systematic review and meta-analysis.

Background: With the easing of COVID-19 non-pharmaceutical interventions, the resurgence of both influenza and respiratory syncytial virus (RSV) was observed in several countries globally after remaining low in activity for over a year. However, whether co-infection with influenza or RSV influences disease severity in COVID-19 patients has not yet been determined clearly. We aimed to understand the impact of influenza/RSV co-infection on clinical disease severity among COVID-19 patients. Methods: We conducted a systematic literature review of publications comparing the clinical severity between the co-infection group (ie, influenza/RSV with SARS-CoV-2) and mono-infection group (ie, SARS-CoV-2), using the following four outcomes: need or use of supplemental oxygen, intensive care unit (ICU) admission, mechanical ventilation, and deaths. We summarized the results by clinical outcome and conducted random-effect meta-analyses where applicable. Results: Twelve studies reporting a total of 7862 COVID-19 patients were included in the review. Influenza and SARS-CoV-2 co-infection were found to be associated with a higher risk of ICU admission (five studies, odds ratio (OR) = 2.09, 95% confidence interval (CI) = 1.64-2.68) and mechanical ventilation (five studies, OR = 2.31, 95% CI = 1.10-4.85). No significant association was found between influenza co-infection and need/use of supplemental oxygen or deaths among COVID-19 patients (four studies, OR = 1.04, 95% CI = 0.37-2.95; 11 studies, OR = 1.41, 95% CI = 0.65-3.08, respectively). For RSV co-infection, data were only sufficient to allow for analyses for the outcome of deaths, and no significant association was found between RSV co-infection and deaths among COVID-19 patients (three studies, OR = 5.27, 95% CI = 0.58-47.87). Conclusions: Existing evidence suggests that co-infection with influenza might be associated with a 2-fold increase in the risk for ICU admission and for mechanical ventilation among COVID-19 patients whereas evidence is limited on the role of RSV co-infection. Co-infection with influenza does not increase the risk of death in COVID-19 patients. Registration: PROSEPRO CRD42021283045.

Effectiveness of enhancing contact model on reducing stigma of mental illness among family caregivers of persons with schizophrenia in rural China: A cluster randomized controlled trial.

Background: Contact-based intervention has been documented and proved effective on reducing stigma of mental illness in high-income countries, but it is still unclear about the effectiveness of the contact-based intervention among family caregivers of persons with schizophrenia (FCPWS) in low- and middle-income countries including rural China. Methods: We conducted a cluster randomized controlled trial in FCPWS in eight rural townships in Xinjin district of Chengdu city in Southwest China. The FCPWS in these townships were randomly allocated to the Enhancing Contact Model (ECM), Psychoeducational Family Intervention (PFI), or Treatment as Usual (TAU) group. FCPWS in three groups were provided specific interventions and follow-ups. By using a mixed-effect model, our goal was to examine the differences in affiliate self-stigma scale (ASSS) scores among three groups with the data collected at baseline (T0), post-intervention (T1), 3-month (T2), and 9-month (T3) follow-up timepoints, respectively. This trial is registered with ChiCTR, number ChiCTR2000039133. Findings: In April 2019, 253 FCPWS from 8 townships were randomly assigned to receive either ECM (cluster=3, n=90), PFI (cluster=2, n=81), or TAU (cluster=3, n=82). Compared with participants in the TAU group, participants in the ECM group had statistically significantly lower ASSS scores at 9-month follow-up (estimated parameter [EP]= -5.51, 95% CI -10.27 to -0.74, p=0.02). There were no statistically significantly different ASSS scores at 9-month follow up between ECM and PFI groups. Compared with participants in the PFI group, younger (<60 years old), with higher monthly income and other caregiver (e.g., parent, sibling, child) participants in the ECM group had statistically significantly lower ASSS scores in the 3-month follow-up (EP = -5.66, 95% CI -10.13 to -1.19, p<0.01; EP = -7.82, 95% CI -11.87 to -3.78, p<0.001; EP = -6.79, 95% CI -10.69 to -2.90, p<0.001, respectively). Interpretation: This first trial in rural China shows that ECM intervention, a new anti-stigma intervention model, is a promising method for reducing affiliate stigma among FCPWS. The ECM intervention is more effective and stable than the PFI on reducing affiliate stigma among FCPWS. Further research needs to explore whether a long-term intervention could produce a more positive anti-stigma outcome trajectory. Funding: General Research Fund, University Grants Committee, Hong Kong SAR (GRF, Grant No. 17605618, 2018-2021, PI: Dr. M.S. Ran).

Physical illness comorbidity and its influencing factors among persons with severe mental illness in Rural China.

BACKGROUND: Comorbid physical illness is a common cause of death in people with severe mental illness (SMI) worldwide. In rural China, the prevalence of physical illness comorbidity among persons with SMI remains unclear. This study aimed to examine non-communicable physical illness comorbidity and its risk factors among people with SMI in a rural area of China. METHODS: A mental health survey, using the International Classification of Disease (ICD-10), was conducted in six townships of Xinjin District, Chengdu, China in 2015. RESULTS: A total of 724 persons with SMI were included in this study, and 37.8% of them had at least one physical illness. The most common physical illnesses were hypertension (10.5%) and diabetes (5.8%). More physical comorbidity was reported among persons with affective disorders than persons with schizophrenia. Many participants (37.4%) had never received antipsychotic treatment, and of those, 51.6% reported having a physical illness comorbidity. Significant associations were found between physical illness comorbidity and participants' family economic status, family size, age at onset of mental disorder, treatment status, and symptom severity. CONCLUSIONS: Our findings indicate the need of an integration of medical and psychiatric care in primary care. It also suggests that poverty and having never received treatment for mental health problems negatively affect the health of persons with SMI, which deserve more attention. Researchers and policymakers can take these findings into account to develop health policies and improve the mental and physical health care in rural China.

Understanding the Potential Drivers for Respiratory Syncytial Virus Rebound During the Coronavirus Disease 2019 Pandemic.

Nonpharmaceutical interventions (NPIs) were widely introduced to combat the coronavirus disease 2019 (COVID-19) pandemic. These interventions also likely led to substantially reduced activity of respiratory syncytial virus (RSV). From late 2020, some countries observed out-of-season RSV epidemics. Here, we analyzed the role of NPIs, population mobility, climate, and severe acute respiratory syndrome coronavirus 2 circulation in RSV rebound through a time-to-event analysis across 18 countries. Full (re)opening of schools was associated with an increased risk for RSV rebound (hazard ratio [HR], 23.29 [95% confidence interval {CI}, 1.09-495.84]); every 5°C increase in temperature was associated with a decreased risk (HR, 0.63 [95% CI, .40-.99]). There was an increasing trend in the risk for RSV rebound over time, highlighting the role of increased population susceptibility. No other factors were found to be statistically significant. Further analysis suggests that increasing population susceptibility and full (re)opening of schools could both override the countereffect of high temperatures, which explains the out-of-season RSV epidemics during the COVID-19 pandemic.

Affiliate stigma of mental illness in family caregivers of persons with mental illness in Hong Kong.

BACKGROUND: Affiliate stigma of family caregivers may severely influence family caregiving, early treatment, and recovery of people with mental illness (PMI), and it may be impacted by the knowledge of mental illness and contact with PMI. However, little is known about the correlation between affiliate stigma of family caregivers of PMI and contact in Hong Kong. AIMS: This study aimed to investigate affiliate stigma and its influencing factors among family caregivers of PMI in Hong Kong. METHODS: A total of 106 family caregivers in Hong Kong participated in the study. The measurements included affiliate stigma, contacts (quantity, quality, and level), knowledge, prejudice, and discriminatory behaviors. Multiple regression analyses were employed. RESULTS: The mean score of affiliate stigma scale (ASS) in family caregivers was 2.17 (SD = 0.65). In regression analyses, the results showed that contact quantity and contact level were significantly associated with higher affiliate stigma and its cognitive domain, while contact quality (e.g. positive contact) were significantly associated with lower affiliate stigma and its all domains among family caregivers. The positive relationship between prejudicial attitudes and affiliate stigma was also found. CONCLUSIONS: Affiliate stigma is severe among family caregivers of PMI in Hong Kong. The results of this study indicate that contact, especially positive contact, contributes to reducing affiliate stigma among family caregivers of PMI. The results of this study are important for development of health policy on reducing stigma in family caregivers of PMI. The effectiveness of Enhancing Contact Model (ECM) should be examined in future anti-stigma interventions.