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Preplanned Studies: Effectiveness of an Integrated One Health Intervention on Schistosoma japonicum Infection in Wild Rodents — Anhui Province, China, 2022–2024

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  • Summary

    What is already known about this topic?

    Schistosomiasis represents a natural focal disease in which wild rodents function as critical reservoir hosts for Schistosoma japonicum transmission within specific endemic regions of China.

    What is added by this report?

    Implementation of a comprehensive 2-year One Health intervention package demonstrated a significant reduction in S. japonicum infection rates among wild rodents, declining from 69.15% to 22.09%, with intervention villages showing an 88.46% decrease in infection odds compared to control villages.

    What are the implications for public health practice?

    Integrating One Health intervention measures into schistosomiasis control programs could effectively reduce infection risk among environmental reservoir hosts and mitigate transmission risks to human populations.

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  • Conflicts of interest: The authors declare no conflicts of interest.
  • Funding: This study was supported by the National Key Research and Development Program of China (grant numbers 2021YFC2300800, 2021YFC2300804) and the National Science Foundation of China (Grant No. 82073619)
  • [1] Buonfrate D, Ferrari TCA, Adegnika AA, Stothard JR, Gobbi FG. Human schistosomiasis. Lancet 2025;405(10479):658 − 70. https://doi.org/10.1016/S0140-6736(24)02814-9.
    [2] Guo SY, Li L, Zhang LJ, Li YL, Li SZ, Xu J. From the One Health perspective: schistosomiasis japonica and flooding. Pathogens 2021;10(12):1538. https://doi.org/10.3390/pathogens10121538.
    [3] Miranda GS, Rodrigues JGM, de Oliveira Silva JKA, Camelo GMA, Silva-Souza N, Neves RH, et al. New challenges for the control of human schistosomiasis: The possible impact of wild rodents in Schistosoma mansoni transmission. Acta Trop 2022;236:106677. https://doi.org/10.1016/j.actatropica.2022.106677.
    [4] Guo SY, Zhang LJ, Li YF, Zhang SQ, Xu XJ, Li YL, et al. One Health integrated surveillance: a way forward to accelerate schistosomiasis elimination in China. Sci One Health 2025;4:100114. https://doi.org/10.1016/j.soh.2025.100114.
    [5] Lv C, Xu XJ, Du CH, Zhang JF, Li YF, Deng WP, et al. Interpretation of the surveillance plan for Schistosoma japonicum infection in wild Rats (2024 edition). J Trop Dis Parasitol 2024;22(4):193 − 7,216. https://doi.org/10.20199/j.issn.1672-2302.2024.04.001.
    [6] Wang FF, Zhang LS, Yin XM, Zhu H, Zhu L, Huang YY, et al. Investigation on the infection status of schistosomiasis in wild mice in hilly schistosomiasis endemic regions of Anhui Province. J Med Pest Control 2025;41(1):1 − 4,10. https://doi.org/10.7629/yxdwfz2024201001.
    [7] Tang Q, Lv C, Wang X, Guo SY, Xu XJ, Zhu H, et al. Efficiency evaluation of three assays for detection of Schistosoma japonicum infections in wild mice. Chin J Parasitol Parasit Dis 2025;43(2):186 − 91. https://doi.org/10.12140/j.issn.1000-7423.2025.02.006.
    [8] Lv C, Xu XJ, Li JJ, Feng T, Zhu H, Li YF, et al. Prevalence of Schistosoma japonicum infections in wild rodents in key areas during the elimination phase. Chin J Schisto Control 2025;37(5):475 − 81,523. https://doi.org/10.16250/j.32.1915.2025057.
  • TABLE 1.  Infection rates of Schistosoma japonicum in wild rodents across intervention and control groups, 2022–2024.

    Year Infection rate in intervention groups, % (n/N) Infection rate in control groups, % (n/N)
    Dongzhi
    County
    Dangtu
    County
    Total χ2 P Dongzhi
    County
    Dangtu
    County
    Total χ2 P
    Baseline
    2022 77.46
    (268/346)
    17.86
    (10/56)
    69.15
    (278/402)
    52.65
    (119/226)
    17.14
    (24/140)
    39.07
    (143/366)
    After intervention
    2023 36.76
    (50/136)
    13.42
    (20/149)
    24.56
    (70/285)
    132.672 <0.01 55.51
    (141/254)
    25.55
    (35/137)
    45.01
    (176/391)
    2.737 <0.01
    2024 24.83
    (73/294)
    3.66
    (3/82)
    20.21
    (76/376)
    187.663 <0.01 46.41
    (84/181)
    46.99
    (39/83)
    46.59
    (123/264)
    3.555 0.06
    Two-year pooled 28.60
    (123/430)
    9.96
    (23/231)
    22.09
    (146/661)
    230.950 <0.01 51.72
    (225/435)
    33.64
    (74/220)
    45.65
    (299/655)
    4.138 0.04
    Total 50.39
    (391/776)
    11.50
    (33/287)
    39.89
    (424/1,063)
    232.228 <0.01 52.04
    (344/661)
    27.22
    (98/360)
    43.29
    (442/1,021)
    4.298 0.12
    Note: “−” means reference.
    Download: CSV

    TABLE 2.  Multivariable binary logistic regression coefficients for S. japonicum infection in wild rodents.

    Parameters B SE aOR (95% CI) P
    County (ref: Dongzhi) −1.328 0.116 0.265 (0.211, 0.333) <0.01
    Study group (ref: control group) 1.011 0.158 2.749 (2.016, 3.749) <0.01
    Time period (ref: baseline) 0.232 0.139 1.261 (0.961, 1.656) 0.09
    Study group * time period interaction −2.159 0.202 0.115 (0.078, 0.172) <0.01
    Abbreviation: aOR=adjusted odds ratio; CI=confidence interval.
    Download: CSV

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Effectiveness of an Integrated One Health Intervention on Schistosoma japonicum Infection in Wild Rodents — Anhui Province, China, 2022–2024

View author affiliation

Summary

What is already known about this topic?

Schistosomiasis represents a natural focal disease in which wild rodents function as critical reservoir hosts for Schistosoma japonicum transmission within specific endemic regions of China.

What is added by this report?

Implementation of a comprehensive 2-year One Health intervention package demonstrated a significant reduction in S. japonicum infection rates among wild rodents, declining from 69.15% to 22.09%, with intervention villages showing an 88.46% decrease in infection odds compared to control villages.

What are the implications for public health practice?

Integrating One Health intervention measures into schistosomiasis control programs could effectively reduce infection risk among environmental reservoir hosts and mitigate transmission risks to human populations.

  • 1. National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, Ministry of Health; WHO Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, China
  • Corresponding author:

    Jing Xu, xujing@nipd.chinacdc.cn

  • Funding: This study was supported by the National Key Research and Development Program of China (grant numbers 2021YFC2300800, 2021YFC2300804) and the National Science Foundation of China (Grant No. 82073619)
  • Online Date: January 30 2026
    Issue Date: January 30 2026
    doi: 10.46234/ccdcw2026.018
    • Introduction: Wild rodents serve as important reservoir hosts of Schistosoma japonicum in certain endemic regions. Although a One Health strategy integrating human, animal, and environmental health measures has been proposed, evidence demonstrating its effectiveness in reducing wildlife reservoir infection remains limited.

      Methods: A preplanned intervention study was conducted from 2022 to 2024 across 12 villages in two endemic counties of Anhui Province. Villages were assigned to receive either routine control measures or an enhanced One Health intervention package that included deratization, drone-based surveillance, microenvironment modification, and health education. Annual rodent surveys were conducted using trap-night methods, and multiple diagnostic tests were employed to detect S. japonicum infection.

      Results: A total of 2,084 rodents were captured and examined. The S. japonicum infection rate in intervention villages decreased from 69.15% (278/402) at baseline to 22.09% (146/661) after two years of intervention (χ2=230.950, P<0.01), whereas the infection rate in control villages increased from 39.07% (143/366) to 45.65% (299/655) (χ2=4.138, P=0.04). Adjusted analysis demonstrated an 88.46% reduction in infection odds within the intervention group [adjusted odds ratio (aOR)=0.115, 95% confidence interval (CI): 0.078, 0.172].

      Conclusion: A comprehensive One Health intervention package is significantly associated with reduced S. japonicum infection in wild rodents. Integrating rodent-targeted measures into schistosomiasis control programs may substantially decrease transmission risk and accelerate progress toward nationwide schistosomiasis elimination.

    • Schistosomiasis japonica is a snail-borne neglected tropical disease caused by Schistosoma japonicum infection, which produces complex intestinal manifestations in chronically infected individuals (1). Classified as a class B infectious disease in China, schistosomiasis is currently progressing toward national elimination. However, S. japonicum maintains a broad host range, infecting over 40 mammalian species. Among these, wild rodents have emerged as increasingly important transmission reservoirs in specific ecological settings, particularly mountainous and hilly regions where human-wildlife interfaces are common (23). Addressing this zoonotic transmission cycle requires interventions that span human, animal, and environmental health sectors — an approach embodied by the One Health framework (4). Despite growing recognition of wild rodents as key reservoir hosts, rigorous field evidence demonstrating the effectiveness of integrated control measures targeting these populations remains limited. To address this knowledge gap, we designed a preplanned intervention study to evaluate whether a comprehensive One Health package could effectively reduce S. japonicum infection prevalence in wild rodent populations within high-risk areas of Anhui Province, thereby mitigating spillover transmission to humans and livestock.

      This study was conducted from 2022 to 2024 in two historically high-endemic counties in Anhui Province: Dongzhi County and Dangtu County. Site selection was based on a comprehensive review of recent epidemiological data, including human infection prevalence, distribution of Oncomelania hupensis snail habitats, and livestock density, combined with an assessment of operational feasibility. Twelve administrative villages were selected from endemic areas: six from hilly regions in Dongzhi County and six from swamp and lake regions in Dangtu County. These villages were evenly assigned to either the intervention group or the control group (three per county in each group). To minimize potential spillover effects, villages in different study groups were geographically separated. Baseline surveys were conducted in 2022, followed by implementation of intervention measures in 2023 and 2024. Control villages received only routine schistosomiasis control measures, including regular health education, screening and treatment of infected humans and livestock, and conventional molluscicide application. In addition to these routine measures, intervention villages received a comprehensive One Health intervention package beginning in January 2023 (Supplementary Table S1).

      Annual cross-sectional surveys of wild rodents were conducted each autumn (September through November) from 2022 to 2024. In each study village, rodents were captured over three consecutive nights using the standard trap-night method. A minimum of 200 wire traps were deployed per night in O. hupensis snail habitats along linear transects, including irrigation ditches, field borders, and residential peripheries. All captured rodents were identified to species level. Infection with S. japonicum was determined using a parallel diagnostic approach comprising three methods: visual examination for adult worms in the hepatic portal and mesenteric veins, microscopic examination of liver homogenate, and Kato-Katz thick smear technique for fecal egg detection. A rodent was classified as positive if S. japonicum adult worms or eggs were identified by any of these methods (5).

      Descriptive statistics were calculated to summarize baseline characteristics and annual trends in S. japonicum infection rates among wild rodents at the county level. Infection rates from 2023 and 2024 were pooled to represent the intervention period. Pearson’s chi-square test was employed to assess changes within each group from baseline to the intervention period. To control for potential confounding from baseline prevalence differences and county-level heterogeneity, we constructed a multivariable logistic regression model. This model incorporated main effects for study group (intervention vs. control), time period (baseline vs. post-intervention), and county, as well as an interaction term between study group and time period. The exponentiated coefficient of this interaction term yields the adjusted odds ratio (aOR) quantifying the intervention effect. All statistical analyses were conducted using R software (version 4.3.0, The R Foundation), with two-sided P<0.05 considered statistically significant.

      A total of 2,084 wild rodents were captured and examined over the three-year study period, with 1,063 from the intervention villages and 1,021 from the control villages. At baseline, the infection rate in the intervention group (69.15%, 278/402) was substantially higher than that in the control group (39.07%, 143/366) (χ2=70.001, P<0.01). Following the two-year intervention period, the pooled infection rate in the intervention group significantly decreased to 22.09% (146/661), representing an absolute reduction of 47.06 percentage points (χ2=230.950, P<0.01). In contrast, the infection rate in the control group significantly increased to 45.65% (299/655), representing an absolute increase of 6.58 percentage points (χ2=4.138, P=0.04); this increase was particularly pronounced in Dangtu County (Table 1). As shown in Table 2, county type, time period, and study group were all significantly associated with S. japonicum infection in wild rodents. After adjusting for county-level effects and time period, the aOR for the intervention effect was 0.115 (95% CI: 0.078, 0.172), indicating an 88.46% reduction in the odds of S. japonicum infection among rodents in intervention villages compared to control villages following the two-year One Health intervention.

      Year Infection rate in intervention groups, % (n/N) Infection rate in control groups, % (n/N)
      Dongzhi
      County
      Dangtu
      County
      Total χ2 P Dongzhi
      County
      Dangtu
      County
      Total χ2 P
      Baseline
      2022 77.46
      (268/346)
      17.86
      (10/56)
      69.15
      (278/402)
      52.65
      (119/226)
      17.14
      (24/140)
      39.07
      (143/366)
      After intervention
      2023 36.76
      (50/136)
      13.42
      (20/149)
      24.56
      (70/285)
      132.672 <0.01 55.51
      (141/254)
      25.55
      (35/137)
      45.01
      (176/391)
      2.737 <0.01
      2024 24.83
      (73/294)
      3.66
      (3/82)
      20.21
      (76/376)
      187.663 <0.01 46.41
      (84/181)
      46.99
      (39/83)
      46.59
      (123/264)
      3.555 0.06
      Two-year pooled 28.60
      (123/430)
      9.96
      (23/231)
      22.09
      (146/661)
      230.950 <0.01 51.72
      (225/435)
      33.64
      (74/220)
      45.65
      (299/655)
      4.138 0.04
      Total 50.39
      (391/776)
      11.50
      (33/287)
      39.89
      (424/1,063)
      232.228 <0.01 52.04
      (344/661)
      27.22
      (98/360)
      43.29
      (442/1,021)
      4.298 0.12
      Note: “−” means reference.

      Table 1.  Infection rates of Schistosoma japonicum in wild rodents across intervention and control groups, 2022–2024.

      Parameters B SE aOR (95% CI) P
      County (ref: Dongzhi) −1.328 0.116 0.265 (0.211, 0.333) <0.01
      Study group (ref: control group) 1.011 0.158 2.749 (2.016, 3.749) <0.01
      Time period (ref: baseline) 0.232 0.139 1.261 (0.961, 1.656) 0.09
      Study group * time period interaction −2.159 0.202 0.115 (0.078, 0.172) <0.01
      Abbreviation: aOR=adjusted odds ratio; CI=confidence interval.

      Table 2.  Multivariable binary logistic regression coefficients for S. japonicum infection in wild rodents.

    • This study demonstrates that a comprehensive One Health intervention approach is significantly associated with reduced S. japonicum infection rates in wild rodent populations. These findings complement and extend prevalence data from previous rodent surveillance studies (67). In theory, integrating simultaneous data on snail infection rates and schistosomiasis incidence in humans and livestock would allow for a more comprehensive assessment of intervention effectiveness. However, prevalence in these hosts has remained at extremely low levels for years when measured by traditional detection methods, thereby limiting their utility for estimating environmental transmission risk. As wild animals increasingly serve as the primary reservoir hosts, surveillance and effective infection control in these populations appear crucial during the transmission interruption and post-elimination phases (8).

      The results indicate that a targeted package of environmental, rodent-focused, and community-based measures was associated with a marked decline in rodent infection prevalence within intervention villages. In contrast, the increased prevalence observed in control villages may be explained by the limited effectiveness of routine control measures against wildlife reservoirs. This pattern underscores the persistent intensity of zoonotic transmission and suggests potential for escalation without targeted reservoir management. The observed 88.46% reduction in adjusted infection odds is notable in field-based zoonotic disease research, suggesting that the intervention may have disrupted critical links in the local transmission cycle — potentially by reducing rodent-snail habitat overlap, decreasing rodent density and infection pressure, and limiting environmental contamination with parasite eggs. However, it should be noted that potential confounders — including ecological heterogeneity, rodent species composition, and operational variations — were not explicitly controlled for, and residual confounding cannot be fully ruled out. Future studies could enhance interpretability by clarifying covariate selection and more thoroughly addressing these limitations. The increased infection rate in control villages further implies that transmission risk may continue to escalate in the absence of tailored interventions. Although rodent infection is not included as an indicator in the national criteria for schistosomiasis elimination, it can serve as a valuable risk indicator, signaling the persistence of the complete S. japonicum life cycle in nature. Further research is needed to clarify the spillover risk from infected wildlife populations and their role in sustaining current transmission dynamics.

      This study has several important limitations. First, the non-randomized village assignment may not fully eliminate residual confounding from unmeasured ecological or epidemiological factors, despite statistical adjustment for county-level effects and baseline prevalence. Second, variations in rodent trapping efficiency and diagnostic sensitivity across sites could introduce bias into prevalence estimates, potentially affecting the magnitude of observed intervention effects. Third, the substantial baseline imbalance in infection rates between intervention and control villages (69.15% vs. 39.07%) complicates causal attribution of the observed decline, as regression to the mean or unmeasured site-specific factors could partially explain the differential trends. The underlying drivers of this baseline heterogeneity were not systematically investigated.

      This study demonstrates that a comprehensive, integrated One Health intervention strategy can substantially reduce S. japonicum prevalence in wild rodent populations — a reservoir host that has proven notoriously difficult to manage. The intervention package provides an evidence-based model for schistosomiasis control in areas where wildlife reservoirs sustain ongoing transmission. For endemic regions approaching elimination or maintaining post-elimination status, public health programs should consider integrating environmental modification and targeted reservoir host management into their long-term control strategies. Successful implementation of such measures requires sustained cross-sectoral collaboration spanning health, agriculture, water resources, forestry, and natural resource management agencies. The observed prevalence increase in control villages (from 39.07% to 45.65%) underscores the critical need for proactive, ecologically informed interventions in high-risk areas to prevent transmission resurgence and accelerate progress toward national schistosomiasis elimination goals.

    • We thank all community members and service providers who participated in the field rodent surveys conducted in Dongzhi and Dangtu counties.

    • Approved by the Ethical Review Committee of the National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research) (approval number 20211019).

  • Conflicts of interest: The authors declare no conflicts of interest.
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