Skip to main content
PLOS Neglected Tropical Diseases logoLink to PLOS Neglected Tropical Diseases
. 2022 May 23;16(5):e0010429. doi: 10.1371/journal.pntd.0010429

Cost-effectiveness evaluation of different control strategies for Clonorchis sinensis infection in a high endemic area of China: A modelling study

Yun-Ting He 1,#, Xiao-Hong Huang 1,2,#, Yue-Yi Fang 3, Qing-Sheng Zeng 4, Lai-De Li 4, Le Luo 5, Ying-Si Lai 1,6,*
Editor: jong-Yil Chai7
PMCID: PMC9166357  PMID: 35605030

Abstract

Clonorchiasis is an important food-borne parasitic disease caused by Clonorchis sinensis infection. The evaluation of long-term cost-effectiveness of control strategies is important for disease control and prevention. The present study aimed to assess the cost-effectiveness of the three recommended strategies (i.e., WHO, Chinese and Guangdong strategies) and different combinations of commonly used measures (i.e., preventive chemotherapy, information, education, and communication (IEC) and environmental improvement) on clonorchiasis. The study area, Fusha town in Guangdong Province, was a typical high endemic area in China. The analysis was based on a multi-group transmission model of C. sinensis infection. We set the intervention duration for 10 years and post-intervention period for 50 years. The corresponding costs and DALYs were estimated. Strategies with incremental cost-effectiveness ratios (ICERs) less than 1/5 of the willingness-to-pay threshold were identified as highly cost-effective strategies. The optimal control strategy was obtained using the next best comparator method. The ICERs of Guangdong strategy were $172 (95% CI: $143-$230) US for praziquantel and $106 (95% CI: $85-$143) US for albendazole, suggesting the highest cost-effectiveness among the three recommended strategies. For praziquantel, 470 sets of control strategies were identified as highly cost-effective strategies for achieving infection control (prevalence<5%). The optimal strategy consisted of chemotherapy targeted on at-risk population, IEC and environmental improvement, with coverages all being 100%, and with the ICER of $202 (95% CI: $168-$271) US. The results for transmission control (prevalence<1%) and albendazole were obtained with the same procedures. The findings may help to develop control policies for C. sinensis infection in high endemic areas. Moreover, the method adopted is applicable for assessment of optimal strategies in other endemic areas.

Author summary

Clonorchiasis, a food-borne trematodiases, affects millions of people in Asia. Highly cost-effective control strategies are critical for its control. Previous studies considering the economic evaluation of control strategies were rare, mostly based on interventions in practical, and not capable of evaluating long-term cost-effectiveness of strategies with possible combinations of control measures or under various coverages. Based on a dynamic, multi-group transmission model, we simulated different control strategies in a high clonorchiasis endemic area, and evaluated their cost-effectiveness. Among the three recommended strategies (i.e., WHO, Chinese and Guangdong strategies), the Guangdong strategy was the most cost-effective. For praziquantel, 470 sets of control strategies were identified as highly cost-effective strategies for achieving infection control (prevalence<5%) among the strategies of possible combinations of the three common measures (i.e., preventive chemotherapy, information, education, and communication (IEC) and environmental modification). The optimal strategy consisted of chemotherapy targeted on at-risk population, IEC and environmental improvement, with coverages all being 100%. The results for transmission control (prevalence<1%) and albendazole were obtained with the same procedures. The numerical results may help to develop control strategies for C. sinensis infection in high endemic areas. The methodology is applicable for other different endemic areas.

Introduction

Clonorchiasis, caused by Clonorchis sinensis infection, is one of the most important food-borne parasitic disease that affects more than 15 million people worldwide [1]. The global burden was estimated to be 522,863 disability-adjusted life years (DALYs) by WHO in 2010 [2]. Control strategies are vital in reducing C. sinensis infection, which commonly include preventive chemotherapy, information, education, and communication (IEC), environmental improvement, and possible combinations of the above measures [3]. Among them, chemotherapy is the major strategy for infection control, which can be either targeted on the whole population (i.e., mass drug administration, MDA) or selected population (e.g., individuals detected by stool examination, at-risk population with raw-fish-eating behavior) [3,4]. IEC aims to improve people’s behaviors (i.e., developing hygienic habits and stopping raw-fish-consumption) to control C. sinensis infection. And environmental improvement can prevent faeces with C. sinensis eggs into water bodies by removing unimproved toilets built near fish ponds [5,6].

While growing emphasis has been laid on implementing integrated control strategies to control C. sinensis infection, integrated control programs include combination of different measures, leading to increasing requirement of costs and labors. Therefore, besides the sustainability and long-term effects of control strategies, attention should also be paid to the cost-effectiveness, which could support local governments to better design appropriate control interventions. Previous studies considering the economic evaluation of control strategies were rare. Two studies performed cost-effectiveness analysis of C. sinensis control strategies [7,8], however, they used prevalence to measure population health, rather than the one favored by the WHO-CHOICE, namely disability-adjusted life years (DALYs), which integrated morbidity and mortality of disease and has been widely used in cost-effectiveness analysis of parasitic diseases [9,10]. Moreover, most studies were based on intervention in practical [7,8,11,12], limited to the real interventions, and not capable of evaluating long-term cost-effectiveness of strategies with possible combinations of control measures or under various coverages. Mathematical transmission modelling, which was widely used in other neglected tropical diseases researches [1315], has the capacity to simulate interventions with different parameters and enables important factors like chemotherapy compliance to be considered in the simulation, thus provides more specific information in implementing appropriate control strategies. However, for those models currently developed on C. sinensis infection, cost-effectiveness was not considered [1620].

In this study, we aimed to conduct cost-effectiveness analysis on control strategies against C. sinensis infection based on a mathematical transmission model [20], with DALYs used as the effectiveness indicator. Control strategies being evaluated included the three recommended strategies (i.e., WHO strategy, Chinese government strategy and Guangdong Province government strategy) and possible combinations of common measures. We took Fusha Town, a typical high endemic area of C. sinensis infection (33.67% infection rate in 2017) [21], as the study area. It locates in Zhongshan City, Guangdong Province.

Methods

Methods overview

In this study, we modified the previous multi-group dynamic transmission model [20] to perform cost-effectiveness analysis of different control strategies over a 60-year period. Fusha town was taken as the study area, and the parameter estimation was done with Bayesian melding approach by fitting to the data of Fusha Town. Fusha town (area: 37 km2, coordinates: 22°40’2.64”N, 113°20’58.2”E, and population: 59,593 in 2017) is a typical high endemic area located in Zhongshan City, Guangdong Province, with flourishing fishing industry and raw fish-eating habits. The observed prevalence of C. sinensis infection of Fusha town was 33.67% in the year 2017 [21]. Detailed explanations of the updated transmission models can be found in S1 File.

To simulate interventions, a full model with interventions was modified based on the basic model, details of which can be found in S2 File. Simulated interventions included the three recommended strategies (i.e., WHO strategy, Chinese government strategy and Guangdong Province government strategy) and various combinations of three commonly used measures (i.e., chemotherapy, IEC and environmental improvement), coverage of which were set as different values to represent different combined strategies. Then, cost-effectiveness analysis was performed for each strategy to obtain the ones with high cost-effectiveness. The optimal cost-effective control strategy was further obtained by the next best comparator method [13].

Simulation of interventions

We set the intervention duration for 10 years and post-intervention period for 50 years. The time horizon of intervention duration was determined based on the previous related study and the duration necessary to capture long-term differences between control strategies [22]. The first category of simulated interventions was the three control strategies recommended by WHO (chemotherapy with 100% coverage targeted on whole population), the Chinese government (chemotherapy targeted on at-risk population and environmental improvement, both with 80% coverage), and the government of Guangdong Province (chemotherapy with 80% coverage targeted on at-risk population, environmental improvement with 90% coverage and IEC with 90% coverage). Detailed description and values of intervention parameters were displayed in S3 File.

The second category was the combinations of the three commonly used measures, intervention parameters of which were set to a series of values. Particularly, the coverage rate of chemotherapy (Cm), the proportion of people accepting IEC (Ce) and the coverage rate of environmental improvement (Cd) were set to different values (from 0% to 100%, with interval being 10%), where the targeted population of chemotherapy were either whole population, at-risk population with raw-fish-consumption behaviors or positive population, and the frequency of chemotherapy being once per year. Two types of drugs, namely praziquantel (PZQ) and albendazole (ABZ), were selected as chemotherapy options. A total of 3993 combinations were simulated. Strategies were recognized as sustainable ones with infection control or transmission control, if they were with control reproduction number (Rc)<1, reached infection control (with prevalence <5%) or transmission control (with prevalence <1%) status in 10 years, respectively, and continued to maintain in the post-intervention period (50 years) [20].

Cost-effectiveness analysis

We performed cost-effectiveness analysis by estimating costs and DALYs of the corresponding control strategies, following procedures similar as other studies [13,14]. The components of total costs included chemotherapy, IEC and environmental improvement. Among them, the cost of chemotherapy included per capita drug cost and delivery cost (salaries, transportation, administrative fees, program running, community awareness activities, training and drug distribution, etc) [13,22]. If chemotherapy was targeted on positive population, diagnostic costs were extra included. The environmental improvement costs were estimated as initial investment costs and recurrent costs of toilets. The cost details and calculation formulas were explained in S4 File. All costs were transformed to 2020 US international dollars (I$) according to consumer price index (CPI) and purchasing power parities (PPP) in 2020 [23,24].

DALYs were used as the indicator of effectiveness, calculated as the sum of years of life lost (YLLs) and years lost due to disability (YLDs). YLLs were calculated as number of deaths from C. sinensis infection multiplying years of life lost for each death case. Assuming that the disability of individuals with C. sinensis is mainly from heavy infection [2,25,26], heavy infection cases were used to estimate YLDs. According to convention in assessing health outcomes from disease, we calculated YLDs with disability weight (DW) [27]. Detailed calculation method and value settings of the parameters were displayed in S5 File.

The cost-effectiveness of each strategy was shown as incremental cost-effectiveness ratio (ICER) compared to baseline scenario without any intervention, calculated as CD0D, where C represents total costs. D and D0 represents DALYs with and without intervention, respectively. Strategies were identified as highly cost-effective strategies if the ICER was below a willingness-to-pay threshold, which was set to be the gross domestic product (GDP) per capita in 2020 (i.e., $17,307 US per DALY for China) [13,28]. Furthermore, we used the “next best comparator” approach to obtain the optimal control strategy when the targeted population of chemotherapy was set to different types (i.e., any type, whole, at-risk population or infected individuals) [13]. The first step was ranking all strategies by increasing averted DALYs, and ICER of each strategy was computed compared to the next most effective strategy (defined as the strategy with next highest averted DALYs). Expressed in formula is ICER=C1C2D2D1. Here C1 and C2 represents the costs of the current strategy and its next most effective strategy, respectively, while D1 and D2 represents the DALYs of these two strategies. The optimal control strategy was defined as the one with the highest averted DALYs and the ICER below the willingness-to-pay threshold.

Uncertainty analysis

We performed a multi-way uncertainty analysis by sampling 500 sets of parameters from the distributions of costs and DALYs-related parameters and combining them with 500 sets of transmission parameters drawn from their posterior distributions, which respectively reflected the uncertainty in cost-effectiveness and that in disease transmission. In each simulation based on a set of parameters, ICER was computed through next best comparator method and the optimal strategy was obtained. The overall optimal cost-effective strategy after considering uncertainty was defined as the one with the highest proportion among the 500 simulations.

Since the 100% coverage rate of interventions might be difficult to realize in practice, we also estimated the optimal strategies by removing the effective control strategies with the coverage rate of any single measure being 100% out of the feasibility consideration, thus to obtain the optimal strategies with the upper limit of coverage rate being 90%. All the numerical computations were performed in MATLAB R2021b.

Results

The three recommended strategies

The costs and averted DALYs of the three recommended strategies for C. sinensis infection were shown in Table 1. We estimated that under the strategies recommended by the government of Guangdong Province, the highest DALYs were averted, reducing 96.6% (95% CI: 95.7%-97.9%) of the total DALYs under baseline scenario. When the drug was PZQ, the ICERs of the three recommended strategies compared to baseline scenario were $510 (95% CI: $394-$648) US, $136 (95% CI: $114-$180) US and $172 (95% CI: $143-$230) US, respectively. When the drug was ABZ, the ICERs were lower than that when the drug was PZQ. With “next best comparator” approach, Guangdong strategy averted the highest DALYs and the ICER compared to next most effective strategy (i.e., Chinese strategy) was within willing to pay threshold for both PZQ and ABZ, suggesting that Guangdong strategy was the optimal among the three recommended strategies. In contrast, the strategy recommended by the WHO averted the lowest DALYs and had the highest costs, suggesting lowest cost-effectiveness.

Table 1. The costs and averted DALYs of the three recommended strategies for C. sinensis infection*.

Indicators WHO The Chinese government The government of Guangdong Province
Averted DALYs 9,830.3 (7,719.7–12,722.4) 12,155.7 (9,274.1–14,755.0) 13,087.5 (9,870.7–15,899.7)
Reduction of DALYs under baseline scenario (%) 72.5% (68.5%-85.1%) 89.7% (88.5%-92.9%) 96.6% (95.7%-97.9%)
Total costs (drug being PZQ) 5,016,313 (4,959,156–5,068,060) 1,649,335 (1,569,281–1,774,516) 2,255,616 (2,124,141–2,434,023)
Total costs (drug being ABZ) 1,686,324 (1,626,972–1,737,243) 780,038 (730,479–847,596) 1,386,281 (1,262,275–1,522,161)
Costs per DALY averted (PZQ) 510 (394–648) 136 (114–180) 172 (143–230)
Costs per DALY averted (ABZ) 172 (132–218) 64 (54–85) 106 (85–143)

*Data was presented as median (95% CI).

Highly cost-effective control strategies

Totally, 470 sets and 42 sets of control strategies satisfied the condition for infection control and transmission control, respectively. When the drug was PZQ or ABZ, among the control strategies that could reach infection control or transmission control, all sets of strategies were with ICERs less than 1/5 of the willingness-to-pay threshold, suggesting that they were all highly cost-effective. Under the simulations with the best set of parameters, the total costs and averted DALYs of the sustainable control strategies were shown in Appendix (S7 and S8 Tables).

The optimal control strategies

Infection control

When chemotherapy was targeted on any population category (i.e., either whole, at-risk or positive population), for PZQ, the chemotherapy targeted on at-risk population combined with IEC and environmental improvement with coverage all being 100% was the optimal strategy to reach infection control in 48.0% of simulations. For drug ABZ, the chemotherapy targeted on whole population combined with IEC and environmental improvement with coverage all being 100% was the optimal strategy to reach infection control in 84.6% of simulations (Table 2). Using PZQ and ABZ as drugs, these two strategies were regarded as overall optimal control strategies with the highest proportions in simulations, respectively, and the corresponding ICERs were $202 (95% CI: $168-$271) US and $205 (95% CI: $166-$272) US, respectively. If we set the upper limit of coverage rate as 90%, the overall optimal strategies for PZQ and ABZ were still the combination of three measures, with the coverage rates all being the highest 90% (S9 Table), but the targeted population of chemotherapy changed to positive population for PZQ.

Table 2. The optimal cost-effective strategies for any targeted population of chemotherapy*.
Control type Drug Targeted population of chemotherapy The optimal strategy
C d C e C m Proportion (%)
Infection control PZQ At-risk 1.00 1.00 1.00 240 (48.0)
Positive 1.00 1.00 1.00 129 (25.8)
ABZ Whole 1.00 1.00 1.00 423 (84.6)
At-risk 1.00 1.00 1.00 66 (13.2)
Transmission control PZQ Positive 1.00 1.00 1.00 158 (31.6)
Positive 1.00 1.00 0.80 90 (18.0)
Positive 1.00 1.00 0.70 88 (17.6)
Positive 1.00 1.00 0.60 64 (12.8)
Positive 1.00 1.00 0.90 50 (10.0)
ABZ Whole 1.00 1.00 1.00 486 (97.2)

*Only strategies with proportions≥10% were presented. The frequency of chemotherapy was once a year, and the intervention duration was 10 years. Targeted population of chemotherapy being any means that it could be any type (i.e., whole, at-risk or positive).

Transmission control

When chemotherapy was targeted on any population category, for drug PZQ, the chemotherapy targeted on positive population combined with IEC and environmental improvement with coverage all being 100% was optimal to reach transmission control in 31.6% of simulations, and the ICER was $339 (95% CI: $265-$453) US. For drug ABZ, the overall optimal strategy was the same as that for infection control, namely the chemotherapy targeted on whole population combined with IEC and environmental improvement with coverage all being 100%, which was optimal in 97.2% of simulations (Table 2). If we set the upper limit of coverage rate as 90%, the optimal strategies with the largest proportion were the same as that for infection control (S9 Table). Due to the low prevalence requirement of transmission control, there was no strategy with chemotherapy targeted on at-risk population met the required effectiveness and sustainability. The optimal strategies for other targeted population of chemotherapy were displayed in Appendix (S10 and S11 Tables).

Discussion

In this study, we modified the previous multi-group dynamic transmission models to evaluate the cost-effectiveness of different control strategies on C. sinensis infection under a typical high endemic environment. Among the three recommended strategies, the strategy of Guangdong Province, which was with a combination of three common measures, had the highest cost-effectiveness. For drug PZQ, chemotherapy targeted on at-risk population or on positive population combined with IEC and environmental improvement with coverages all being 100% were the optimal strategies among all possible combinations to achieve infection control or transmission control, respectively. For drug ABZ, chemotherapy targeted on whole population combined with IEC and environmental improvement with coverages all being 100% were the optimal strategies to achieve infection control or transmission control.

The optimal control strategies

The results suggested that optimal cost-effective strategies tended to be strategies that combined three common measures (i.e., chemotherapy, IEC and environmental improvement), which was consistent with the conclusions of previous studies that implementation of integrated strategies based on multiple interventions could be successful to control parasitic diseases [29]. Because PZQ was relatively expensive in China market, chemotherapy targeted on whole population could lead to much higher costs and did not avert much more DALYs compared to that targeted on at-risk or positive populations, thus was not part of the optimal long-term cost-effective strategy for either infection or transmission control. As suggested by previous study, chemotherapy targeted on at-risk population had potential to be the best [12]. However, it was not able to realize transmission control. Chemotherapy targeted on positive population was suggested to be effective in reducing infection rate, so that it might be highly cost-effective for achieving control status with strict requirements [30]. When the drug was ABZ, a lower price drug compared to PZQ, the optimal strategies were targeted on whole population. Possible reasons might be that when chemotherapy was targeted on positive individuals, extra diagnostic costs were needed for population mass screening, and conventional microscopic techniques such as the Kato-Katz diagnostic approach were considered insufficiently sensitive, leading to missed diagnosis and lack of subsequent chemotherapy treatment for some positive people [31]. In this case, chemotherapy targeted on whole population did not cost much due to the cheaper cost of the drug.

The optimal strategies for both infection control and transmission control required the high coverage (i.e., 100%) of the three measures, which was necessary in elimination of parasitic diseases [32]. Considering that 100% coverage may not be easy to achieve in practice, we set the upper limit of coverage as 90% and performed the analysis. In this case, when the drug was ABZ, the optimal strategies for both infection control and transmission control were still the combination of three measures with the highest coverage (i.e., 90%), and the chemotherapy was targeted on whole population. While for the drug PZQ, the optimal strategies were with the targeted population of chemotherapy being positive individuals. The possible reason was that for drug PZQ, a 10% reduction in chemotherapy coverage reduced the overall costs of drugs and diagnosis and made the strategy based on chemotherapy targeted on positive population more cost-effective than the one based on at-risk population. However, as the cost of ABZ was much lower than that of PZQ, a 10% reduction in coverage did not lead to much decrease of overall costs due to the low costs of drugs, so that the optimal strategy was still based on chemotherapy targeted on whole population.

Implications for policy making

In uncertainty analysis, all optimal strategies with high proportions (≥10%) in simulations were the combined ones. Moreover, they included IEC and environmental improvement with 100% coverages, suggesting that the two measures played significant roles to achieve a sustainable and cost-effective control of C. sinensis infection, which should be fully considered in control programs. It was consistent with previous studies that the combination of health education and chemotherapy was more effective than chemotherapy alone for controlling infection control [33,34]. Considering that IEC could also promote compliance of chemotherapy and bring economic benefits with its low price, governments may lay emphasis on training health committees to deliver IEC [34]. Particularly, for children at school-age, health education is more likely to increase knowledge on preventing C. sinensis infection and promoting belief of stopping eating raw fish [35].

For environmental improvement, residents in less developed areas may lack awareness of constructing sanitation toilets, and the established sanitation toilets may lack management after completion of construction, which bring difficulties in increasing the coverage [36]. In this case, the government should raise public awareness of the importance of constructing sanitation toilets, and provide subsidies to increase public motivation [37]. Besides, attentions should be paid to management and maintenance.

Previous studies suggested that PZQ and ABZ had similar efficacy, so that we considered both drugs as mass chemotherapy options to make evaluation of control strategies more comprehensive [38]. Our results suggested that the strategies with the chemotherapy targeted on positive population were optimal for PZQ, namely the more expensive drug, to achieve transmission control. Although disadvantages existed for the current diagnostic methods (e.g., low profitability, high technical requirements, low sensitivity) [3,39], researchers suggested that the compliance of chemotherapy in the positive population was higher, which was feasible for chemotherapy in long-term interventions [40]. We further set the ICER equal to the willingness-to-pay threshold to estimate the maximum acceptable diagnostic cost. Even if the diagnostic cost increased ten times, the strategy targeted on positive population was still cost-effective. Studies have suggested that chemotherapy targeted on positive population could be used as control strategies in low endemic areas [30]. Moreover, compared to massive chemotherapy, it might have lower cost per DALY averted [12]. In case that the compliance of chemotherapy was very low in whole or at-risk population, or the drug price was very high, chemotherapy targeted on positive individuals might be an alternative to massive or selective chemotherapy. However, developing more sensitive diagnostic approaches need to be emphasized. Regarding the two drugs, PZQ and ABZ had their own features. PZQ was widely used in practice and has a short medication time, but with poor taste, peculiar smell, and some side effects. ABZ was odorless and tasteless, and with good security in medication [41], so that we regarded ABZ as a possibility of chemotherapy. Nevertheless, the drug type chosen should follow local conditions, and the corresponding optimal cost-effective strategy may be different.

Comparison with previous studies

Only a few studies have investigated the cost-effectiveness of control strategies on C. sinensis infection, and they were all conducted from the perspective of real intervention. Two studies proposed recommended strategies with high cost-effectiveness. Fang and colleagues suggested that chemotherapy targeted on active medication population combined with IEC had the lowest cost per 1% reduction in infection rates, compared with chemotherapy targeted on positive population, or chemotherapy targeted on whole population [8]. Qian et al’s study showed that selective chemotherapy targeted on at-risk population was the best among three strategies (i.e., massive, selective and individual chemotherapy) [12]. The recommended strategies of the two studies were different from our study, but restricted to some limitations. Firstly, they only considered the effect and cost-effectiveness during the intervention period and ignored the long-time influence of the strategies that may lead to future epidemic rebound. Due to the perspective of real interventions, sensitivity of diagnosis was not considered, thus some positive individuals may be missed. Furthermore, they were not capable of evaluating cost-effectiveness of strategies with different coverages and different combinations to provide detailed numerical simulation results. Only chemotherapy and IEC were evaluated as control measures, environmental improvement was not included.

Strengths and limitations

We performed the cost-effectiveness analysis based on a mathematical transmission model and used DALYs as indicators, which have not been investigated in previous studies on C. sinensis infection. The transmission model took into account the recurrence of infection and was able to further evaluate the long-term cost-effectiveness of specific strategies. Compared to studies conducted from real intervention perspective, the analysis in our study was not restricted to limited number of interventions and could evaluate strategies with different coverages and combinations, as various intervention parameters were set in the model, including efficacy and compliance parameters. Some factors such as diagnosis costs may be different due to regional differences, and the cost-effectiveness analysis could take the uncertainty of cost into account by setting ranges of corresponding parameters. Furthermore, the uncertainty analysis performed in our study provided more information than just the point estimation.

There are some limitations in this study. Regarding the characteristics of the transmission model, several potential influencing factors were not considered, including the influence of area interaction, reservoir hosts and seasons, which were specifically discussed in our previous study [20]. Moreover, due to the difficulty in obtaining corresponding data, some heterogeneity issues, such as compliance and efficacy among different population groups, were not considered in the model [20]. For DALY calculation, mild and moderate infections might also cause the loss of healthy life years [42]. However, due to the lack of disability weight information for mild and moderate infections and the weights might be very small, we did not consider the loss of healthy life years resulted from these infections, similar as most previous studies on estimation of the disease burden of clonorchiasis [2,43]. The transmission model was applied in a specific highly endemic area (infection rates ≥ 20%) with flourishing fishing industry and raw fish-eating habits. The results of the optimal strategies derived from this study may not be applicable to other moderate or low endemic areas. However, the numerical simulation results can still provide important information for the selection of control strategies, and the method adopted in this study is also applicable for the selection of the optimal strategies in other areas.

Conclusion

In this study, the long-term cost-effectiveness of control strategies for C. sinensis infection was evaluated with different coverages and combinations of control measures in a highly endemic area of China. The findings may help to formulate disease prevention and control policies for C. sinensis infection in highly endemic areas. Moreover, the method adopted in this study is also applicable for the selection of the optimal strategies in other endemic regions.

Supporting information

S1 Fig. The full model of C. sinensis infection with interventions.

(TIF)

S1 Table. Descriptions of model parameters (unit: day-1).

(DOCX)

S2 Table. Observed prevalence of C. sinensis infection among groups of people with different frequencies of raw fish consumption in Fusha Town.

(DOCX)

S3 Table. The prior distributions and posterior estimations of model parameters (unit: day-1).

(DOCX)

S4 Table. Values set for compliance of chemotherapy among different kinds of targeted population.

(DOCX)

S5 Table. Values of intervention parameters of the current recommended control strategies.

(DOCX)

S6 Table. Costs of each aspect of the control strategies.

(DOCX)

S7 Table. Simulation results under the effective control strategies that could reach infection control within 10 years.

(DOCX)

S8 Table. Simulation results under the effective control strategies that could reach transmission control within 10 years.

(DOCX)

S9 Table. The optimal cost-effective strategies with targeted population of any types and the upper coverage set to 90%.

(DOCX)

S10 Table. The optimal cost-effective strategies to reach infection control for other targeted populations of chemotherapy.

(DOCX)

S11 Table. The optimal cost-effective strategies to reach transmission control for other targeted populations of chemotherapy.

(DOCX)

S1 File. Transmission model.

(DOCX)

S2 File. Full model with interventions.

(DOCX)

S3 File. Three recommended strategies.

(DOCX)

S4 File. Calculation of costs.

(DOCX)

S5 File. Calculation of DALYs.

(DOCX)

Data Availability

Data used in the manuscript was derived from the published literature which has been included in the manuscript (Du S. et al [21]).

Funding Statement

YSL received the financial support from the National Natural Science Foundation of China (project no. 82073665, http://www.nsfc.gov.cn/), the Natural Science Foundation of Guangdong Province (project no. 2022A1515010042, http://gdstc.gd.gov.cn/) and Sanming Project of Medicine in Shenzhen (grant no. SZSM201803061, http://wjw.sz.gov.cn/ztzl/smgc/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Qian M, Chen Y, Liang S, Yang G, Zhou X. The global epidemiology of clonorchiasis and its relation with cholangiocarcinoma. Infect Dis Poverty. 2012;1(1):4. doi: 10.1186/2049-9957-1-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.World Health Organization [Internet]. WHO estimates of the global burden of foodborne diseases; c2021. [cited 2021 Oct 27]. Available from: https://www.who.int/foodsafety/publications/foodborne_disease/fergreport/en/. [Google Scholar]
  • 3.Qian MB, Utzinger J, Keiser J, Zhou XN. Clonorchiasis. Lancet. 2016;387(10020):800–10. doi: 10.1016/S0140-6736(15)60313-0 [DOI] [PubMed] [Google Scholar]
  • 4.Choi M, Park SK, Li Z, Ji Z, Yu G, Feng Z, et al. Effect of control strategies on prevalence, incidence and re-infection of clonorchiasis in endemic areas of China. Plos Neglect Trop D. 2010;4(2):e601. doi: 10.1371/journal.pntd.0000601 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Zhang Q, Huang F, Geng Y. [Relationship between propagation of Clonorchis sinensis and ecology cultivation]. China Trop. Med. 2009;9(6):1012–3, 1125. Chinese. [Google Scholar]
  • 6.Oh J, Lim MK, Yun EH, Cho H, Park EY, Choi M, et al. Control of clonorchiasis in Korea: effectiveness of health education for community leaders and individuals in an endemic area. Trop Med Int Health. 2014;19(9):1096–104. doi: 10.1111/tmi.12338 [DOI] [PubMed] [Google Scholar]
  • 7.Chen Y, Wang J, Zang W, Qian M, Xu L. [Cost⁃effectiveness analysis of integrated control strategy of parasitic diseases in demonstration plots]. Chin J Schisto Control. 2011;23(5):501–5. Chinese [PubMed] [Google Scholar]
  • 8.Fang Y. [A study of the epidemiology and the control measurements of Clonorchis Sinensis in Guangdong Province] [dissertation]. Guangzhou: Sun Yat-sen University; 2006. Chinese [Google Scholar]
  • 9.World Health Organization. Making choices in health: WHO guide to cost-effectiveness analysis.: Publications of World Health Organization; 2003. [Google Scholar]
  • 10.Neumann PJ, Thorat T, Zhong Y, Anderson J, Farquhar M, Salem M, et al. A systematic review of cost-effectiveness studies reporting cost-per-DALY averted. Plos One. 2016;11(12):e168512. doi: 10.1371/journal.pone.0168512 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Yajima A, Cong DT, Trung DD, Cam TDT, Montresor A. Cost comparison of rapid questionnaire screening for individuals at risk of clonorchiasis in low- and high-prevalence communities in northern Vietnam. T Roy Soc Trop Med H. 2009;103(5):447–51. doi: 10.1016/j.trstmh.2009.01.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Qian M, Zhou C, Zhu H, Chen Y, Zhou X. Comparison on different treatment strategies against Clonorchis sinensis infection. Infect Dis Poverty. 2021;10(1):136. doi: 10.1186/s40249-021-00917-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Lo NC, Gurarie D, Yoon N, Coulibaly JT, Bendavid E, Andrews JR, et al. Impact and cost-effectiveness of snail control to achieve disease control targets for schistosomiasis. Proc Natl Acad Sci U S A. 2018;115(4):E584–91. doi: 10.1073/pnas.1708729114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Lo NC, Lai Y, Karagiannis-Voules D, Bogoch II, Coulibaly JT, Bendavid E, et al. Assessment of global guidelines for preventive chemotherapy against schistosomiasis and soil-transmitted helminthiasis: a cost-effectiveness modelling study. Lancet Infect Dis. 2016;16(9):1065–75. doi: 10.1016/S1473-3099(16)30073-1 [DOI] [PubMed] [Google Scholar]
  • 15.Ndeffo Mbah ML, Kjetland EF, Atkins KE, Poolman EM, Orenstein EW, Meyers LA, et al. Cost-effectiveness of a community-based intervention for reducing the transmission of Schistosoma haematobium and HIV in Africa. P Natl Acad Sci Usa. 2013;110(19):7952–7. doi: 10.1073/pnas.1221396110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Yanfei D, J Gao S, Zhang F, L Luo Y. Threshold and stability results for Clonorchiasis epidemic model. Journal of Science, Technology and Environment. 2013;2(2):3000223. [Google Scholar]
  • 17.Yuan R, Gao S, Huang J, Zhang X. Mathematical modeling the dynamics of Clonorchiasis in Guangzhou City of China. Math Biosci Eng. 2019;16(2):881–97. doi: 10.3934/mbe.2019041 [DOI] [PubMed] [Google Scholar]
  • 18.Yuan R, Huang J, Zhang X, Ruan S. Modeling the transmission dynamics of Clonorchiasis in Foshan, China. Sci Rep-Uk. 2018;8:15176. doi: 10.1038/s41598-018-33431-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gao S, Yuan R, Liu Y, Meng X. Modelling the effects of snail control and health education in Clonorchiasis infection in Foshan, China. Complexity. 2019:1–14. [Google Scholar]
  • 20.Huang X, Qian M, Zhu G, Fang Y, Hao Y, Lai Y. Assessment of control strategies against Clonorchis sinensis infection based on a multi-group dynamic transmission model. Plos Neglect Trop D. 2020;14(3):e8152. doi: 10.1371/journal.pntd.0008152 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Du S, Huang J, Li H. [Epidemiology of clonorchiasis in the towns near the Pearl River Delta] (author’s tranl). South China J Prev Med. 2015;41(3):273–5. Chinese. [Google Scholar]
  • 22.Turner HC, Truscott JE, Fleming FM, Hollingsworth TD, Brooker SJ, Anderson RM. Cost-effectiveness of scaling up mass drug administration for the control of soil-transmitted helminths: a comparison of cost function and constant costs analyses. Lancet Infect Dis. 2016;16(7):838–46. doi: 10.1016/S1473-3099(15)00268-6 [DOI] [PubMed] [Google Scholar]
  • 23.National Bureau of Statistics of the People’s Republic of China [Internet]. [Consumer Price Index]. [cited 2021 Oct 27]. Available from: http://data.stats.gov.cn/easyquery.htm?cn=C01. Chinese
  • 24.The World Bank [Internet]. PPP conversion factor, GDP (LCU per international $)—China. [cited 2021 Oct 27]. Available from: https://data.worldbank.org/indicator/PA.NUS.PPP?end=2020&locations=CN&name_desc=false&start=1990&view=chart. [Google Scholar]
  • 25.Fürst T, Keiser J, Utzinger J. Global burden of human food-borne trematodiasis: a systematic review and meta-analysis. Lancet Infect Dis. 2012;12(3):210–21. doi: 10.1016/S1473-3099(11)70294-8 [DOI] [PubMed] [Google Scholar]
  • 26.Prüss-Ustün A, Mathers C, Corvalan C, Woodward A. Introduction and methods—Assessing the environmental burden of disease at national and local levels; 2003. [Google Scholar]
  • 27.Salomon JA, Vos T, Hogan DR, Gagnon M, Naghavi M, et al. Common values in assessing health outcomes from disease and injury: Disability weights measurement study for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2129–43, and erratum (2013) 381:628. doi: 10.1016/S0140-6736(12)61680-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Central People’s Government of the People’s Republic of China [Internet]. [The 2018 Statistical Communique of the People’s Republic of China on National Economic and Social Development] (author’s tranl). [cited 2020 Apr 14]. Available from: http://www.gov.cn/xinwen/2021-02/28/content_5589283.htm. Chinese. [Google Scholar]
  • 29.Michael E, Madon S. Socio-ecological dynamics and challenges to the governance of Neglected Tropical Disease control. Infect Dis Poverty. 2017;6:35. doi: 10.1186/s40249-016-0235-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.FY, Ruan C, Gao X, Tan T, Chen R, Hao Y. Research on chemotherapy measures in different Clonorchis sinensis infectiosity endemic areas. Chin J Schisto Control. 2014;26(3):300–2. Chinese [PubMed] [Google Scholar]
  • 31.Momčilović S, Cantacessi C, Arsić-Arsenijević V, Otranto D, Tasić-Otašević S. Rapid diagnosis of parasitic diseases: current scenario and future needs. Clin Microbiol Infec. 2019;25(3):290–309. doi: 10.1016/j.cmi.2018.04.028 [DOI] [PubMed] [Google Scholar]
  • 32.Ásbjörnsdóttir KH, Means AR, Werkman M, Walson JL. Prospects for elimination of soil-transmitted helminths. Curr Opin Infect Dis. 2017;30(5):482–8. doi: 10.1097/QCO.0000000000000395 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Tang Z, Huang Y, Yu X. Current status and perspectives of Clonorchis sinensis and clonorchiasis: epidemiology, pathogenesis, omics, prevention and control. Infect Dis Poverty. 2016;5:71. doi: 10.1186/s40249-016-0166-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Wu W, Qian X, Huang Y, Hong Q. A review of the control of clonorchiasis sinensis and Taenia solium taeniasis/cysticercosis in China. Parasitol Res. 2012;111(5):1879–84. doi: 10.1007/s00436-012-3152-y [DOI] [PubMed] [Google Scholar]
  • 35.Qian M, Gan X, Zhao J, Zheng W, Li W, Jiang Z, et al. Effectiveness of health education in improving knowledge, practice and belief related to clonorchiasis in children. Acta Trop. 2020;207:105436. doi: 10.1016/j.actatropica.2020.105436 [DOI] [PubMed] [Google Scholar]
  • 36.Deng Z, Fang Y. [Epidemic situation and prevention and control strategy of clonorchiasis in Guangdong Province, China]. Chin J Schisto Control. 2016;28(3):229–33. Chinese [DOI] [PubMed] [Google Scholar]
  • 37.Cheng S, Li Z, Uddin SMN, Mang H, Zhou X, Zhang J, et al. Toilet revolution in China. J Environ Manage. 2018;216:347–56. doi: 10.1016/j.jenvman.2017.09.043 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Feng Q, Luo L, Xia S, Zhang R, Wu H, Fan M, et al. [Compare the efficacy of two antiparasitic drugs against Clonorchiasis]. J Trop Med. 2006;6(12):1291–2. Chinese. [Google Scholar]
  • 39.Rim HJ. Epidemiology and control of clonorchiasis in Korea. Southeast Asian J Trop Med Public Health. 1997;28(Suppl 1): 47–50. [PubMed] [Google Scholar]
  • 40.Chen Y, Li H, Xu L, Qian M, Tian H, Fang Y, et al. Effectiveness of a community-based integrated strategy to control soil-transmitted helminthiasis and clonorchiasis in the People’s Republic of China. Acta Trop. 2021;214:105650. doi: 10.1016/j.actatropica.2020.105650 [DOI] [PubMed] [Google Scholar]
  • 41.Zeng Y, Wu Jiang, Huang X, Mo L, Fang Q. [A comparative study on the clinical efficacy and safety of albendazole and praziquantel in the treatment of liver flukes] (author’s tranl). Chinese Journal of Clinical Rational Drug Use. 2020;13(33):86–8. Chinese. [Google Scholar]
  • 42.Kamsa-ard S, Luvira V, Suwanrungruang K, Kamsa-ard S, Luvira V, Santong C, et al. Cholangiocarcinoma trends, incidence, and relative survival in Khon Kaen, Thailand from 1989 through 2013: a population-based cancer registry study. J Epidemiol. 2019;29(5):197–204. doi: 10.2188/jea.JE20180007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ock M, Lee JY, Oh I, Park H, Yoon S, Jo M. Disability weights measurement for 228 causes of disease in the Korean burden of disease study 2012. J Korean Med Sci. 2016;31(Suppl 2):S129. doi: 10.3346/jkms.2016.31.S2.S129 [DOI] [PMC free article] [PubMed] [Google Scholar]
PLoS Negl Trop Dis. doi: 10.1371/journal.pntd.0010429.r001

Decision Letter 0

jong-Yil Chai, Aaron R Jex

24 Jan 2022

Dear Dr. Lai,

Thank you very much for submitting your manuscript "Assessment of different control strategies against Clonorchis sinensis infection in high endemic areas: a cost-effectiveness modelling study" for consideration at PLOS Neglected Tropical Diseases. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. In light of the reviews (below this email), we would like to invite the resubmission of a significantly-revised version that takes into account the reviewers' comments.

Your manuscript has been reviewed by two independent reviewers. They recommended major revision to your manuscript. Please carefully read the Reviewer 2's comments and address the points if you agree to revise your manuscript.

We cannot make any decision about publication until we have seen the revised manuscript and your response to the reviewers' comments. Your revised manuscript is also likely to be sent to reviewers for further evaluation.

When you are ready to resubmit, please upload the following:

[1] A letter containing a detailed list of your responses to the review comments and a description of the changes you have made in the manuscript. Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.

[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

Important additional instructions are given below your reviewer comments.

Please prepare and submit your revised manuscript within 60 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email. Please note that revised manuscripts received after the 60-day due date may require evaluation and peer review similar to newly submitted manuscripts.

Thank you again for your submission. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

jong-Yil Chai

Associate Editor

PLOS Neglected Tropical Diseases

Aaron Jex

Deputy Editor

PLOS Neglected Tropical Diseases

***********************

Your manuscript has been reviewed by two independent reviewers. They recommended major revision to your manuscript. Please carefully read the Reviewer 2's comments and address the points if you agree to revise your manuscript.

Reviewer's Responses to Questions

Key Review Criteria Required for Acceptance?

As you describe the new analyses required for acceptance, please consider the following:

Methods

-Are the objectives of the study clearly articulated with a clear testable hypothesis stated?

-Is the study design appropriate to address the stated objectives?

-Is the population clearly described and appropriate for the hypothesis being tested?

-Is the sample size sufficient to ensure adequate power to address the hypothesis being tested?

-Were correct statistical analysis used to support conclusions?

-Are there concerns about ethical or regulatory requirements being met?

Reviewer #1: (No Response)

Reviewer #2: ① Please describe the materials and methods more clearly and systematically.

② Please replace the previously well-known methods as references.

③ Please define the population characters of a subjected endemic area, Fusha Town.

④ Please refer the guidelines of PLOS NTD.

--------------------

Results

-Does the analysis presented match the analysis plan?

-Are the results clearly and completely presented?

-Are the figures (Tables, Images) of sufficient quality for clarity?

Reviewer #1: (No Response)

Reviewer #2: ① Please describe the results more clearly and systematically.

② Please refer the guidelines of PLOS NTD.

--------------------

Conclusions

-Are the conclusions supported by the data presented?

-Are the limitations of analysis clearly described?

-Do the authors discuss how these data can be helpful to advance our understanding of the topic under study?

-Is public health relevance addressed?

Reviewer #1: (No Response)

Reviewer #2: Please describe the conclusion more objectively based on the findings obtained by the present study.

-> In this study, the long term cost-effectiveness for control strategies of clonorchiasis was evaluated with different coverages and combinations of control measures in a highly endemic area of China. The findings may be help to make disease prevention and control policies for clonorchiasis in highly endemic areas

--------------------

Editorial and Data Presentation Modifications?

Use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity. If the only modifications needed are minor and/or editorial, you may wish to recommend “Minor Revision” or “Accept”.

Reviewer #1: (No Response)

Reviewer #2: (No Response)

--------------------

Summary and General Comments

Use this section to provide overall comments, discuss strengths/weaknesses of the study, novelty, significance, general execution and scholarship. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. If requesting major revision, please articulate the new experiments that are needed.

Reviewer #1: (No Response)

Reviewer #2: This manuscript is on the the cost-effectiveness evaluation about three different control strategies for clonorchiasis in a highly endemic area of China. It has important informations on the cost-effectiveness in control strategies for clonorchiasis. However, it has lots of limited points to be published in PLOS NTD. First of all, this manuscript should be revised English by a native speaker. It is highly questionable whether albendazole is an effective drug for clonorchiasis chemotherapy.

1. Title: Please refer the revised title.

“Evaluation of cost-effectiveness about three different control strategies for Clonorchis sinensis infection in a highly endemic area of China”or

“Cost-effectiveness evaluation about three different control strategies for clonorchiasis in a highly endemic areas of China

2. Abstract

① Please briefly describe the purpose of this study in the beginning.

Line 21-28: Clonorchiasis is an important food-borne parasitic disease caused by Clonorchis sinensis infection. Long-term cost-effectiveness of control strategies needs to be evaluated to provide information for establishing control programs. We performed cost effectiveness analysis of three recommended strategies (i.e., WHO, Chinese and Guangdong strategies) and different combinations of measures (i.e., preventive 26 chemotherapy, information, education, and communication (IEC) and environmental modification) under a high endemic environment, based on a multi-group transmission model of C. sinensis infection.

-> Present study was performed to evaluate the cost effectiveness on 3 different control strategies, i.e., WHO, Chinese and Guangdong, for clonorchiasis and also analized the effects of different control measures, i.e., preventive chemotherapy, information, education, and communication (IEC) and environmental renovation, in a highly endemic region in China based on a multi-group transmission model of C. sinensis infection.

② Please describe the materials and methods more clearly and briefly.

Line 28-30. We set the intervention duration for 10 years and post intervention period for 50 years. The optimal control strategy was obtained using next best comparator method. Uncertainty analysis was further conducted. + informations on the subjected region and disability-adjusted life years (DALYs).

③ Please describe the results more clearly and systematically.

Line 30-42: We found that Guangdong strategy was most cost-effective among the three recommended strategies, with cost per DALY averted being $172 (95% CI: $143-$230) US for praziquantel and $106 (95% CI: $85-$143) US for albendazole. The optimal strategies with high proportions in uncertainty analysis tended to be the ones combined with preventive chemotherapy, IEC and environmental modification, under coverages of all being 100%. For praziquantel, chemotherapy of the optimal strategies for infection control (maintaining a prevalence<5%) and transmission control (maintaining a prevalence<1%) were targeted on at-risk population and positive population, respectively, with coverages 100% and costs per DALY averted $202 (95% CI: $168-40 $271) US and $339 (95% CI: $265-$453) US, respectively. For albendazole, the chemotherapy of optimal strategies was targeted on whole population, and the costs per DALY averted was $205 (95% CI: $166-$272) US.

-> In Guangdong strategy, the cost per DALY (disability-adjusted life year) avrted were $172 (95% CI: $143-$230) US for praziquantel and $106 (95% CI: $85-$143) US for albendazole, which was most cost-effective among 3 control strategies for clonorchiasis.

Please reveal the evidences (findings) as numerical results you obtained and don’t make them descriptively.

④ Please describe the conclusion more objectively based on the findings obtained by the present study. The conclusive remarks are too long.

Line 42-47: In this study, we evaluated the long term cost-effectiveness of control strategies with different coverages and combinations, not restricted to limited intervention types. The numerical results provided information for developing disease prevention and control policies on C. sinensis infection in high endemic areas. Moreover, the method adopted in this study is applicable for assessment of optimal strategies in other endemic areas.

-> In this study, the long term cost-effectiveness for control strategies of clonorchiasis was evaluated with different coverages and combinations of control measures in a highly endemic area of China. The findings may be help to make disease prevention and control policies for clonorchiasis in highly endemic areas.

3. Introduction

① Please describe the background of this study more specifically.

Line 50: Caused by infection with Clonorchis sinensis, clonorchiasis is one of the most

-> Clonorchiasis, Clonorchis sinensis infection, is one of the

Line 55: environmental modification -> environmental renovation

Line 60: people’s healthy behaviors -> people’s behaviors

hygiene habits -> hygienic habits

② Please describe the purpose elicited from backgrounds of this study in the last paragraph.

Line 91: Please more detailedly designate “Fusha Town”(location and/or province in China) and reveal the references for the clue of clonorchiasis endemic.

--------------------

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Figure Files:

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org.

Data Requirements:

Please note that, as a condition of publication, PLOS' data policy requires that you make available all data used to draw the conclusions outlined in your manuscript. Data must be deposited in an appropriate repository, included within the body of the manuscript, or uploaded as supporting information. This includes all numerical values that were used to generate graphs, histograms etc.. For an example see here: http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001908#s5.

Reproducibility:

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

PLoS Negl Trop Dis. doi: 10.1371/journal.pntd.0010429.r003

Decision Letter 1

jong-Yil Chai, Aaron R Jex

18 Apr 2022

Dear Dr. Lai,

We are pleased to inform you that your manuscript 'Cost-effectiveness evaluation of different control strategies for Clonorchis sinensis infection in a high endemic area of China: a modelling study' has been provisionally accepted for publication in PLOS Neglected Tropical Diseases.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

Should you, your institution's press office or the journal office choose to press release your paper, you will automatically be opted out of early publication. We ask that you notify us now if you or your institution is planning to press release the article. All press must be co-ordinated with PLOS.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Neglected Tropical Diseases.

Best regards,

jong-Yil Chai

Associate Editor

PLOS Neglected Tropical Diseases

Aaron Jex

Deputy Editor

PLOS Neglected Tropical Diseases

***********************************************************

This revised manuscript is on the cost-effectiveness evaluation about 3 different control strategies for clonorchiasis in a highly endemic area of China. It is much improved by the revision to be published in PLOS NTD by the revision.

Reviewer's Responses to Questions

Key Review Criteria Required for Acceptance?

As you describe the new analyses required for acceptance, please consider the following:

Methods

-Are the objectives of the study clearly articulated with a clear testable hypothesis stated?

-Is the study design appropriate to address the stated objectives?

-Is the population clearly described and appropriate for the hypothesis being tested?

-Is the sample size sufficient to ensure adequate power to address the hypothesis being tested?

-Were correct statistical analysis used to support conclusions?

-Are there concerns about ethical or regulatory requirements being met?

Reviewer #1: (No Response)

**********

Results

-Does the analysis presented match the analysis plan?

-Are the results clearly and completely presented?

-Are the figures (Tables, Images) of sufficient quality for clarity?

Reviewer #1: (No Response)

**********

Conclusions

-Are the conclusions supported by the data presented?

-Are the limitations of analysis clearly described?

-Do the authors discuss how these data can be helpful to advance our understanding of the topic under study?

-Is public health relevance addressed?

Reviewer #1: (No Response)

**********

Editorial and Data Presentation Modifications?

Use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity. If the only modifications needed are minor and/or editorial, you may wish to recommend “Minor Revision” or “Accept”.

Reviewer #1: (No Response)

**********

Summary and General Comments

Use this section to provide overall comments, discuss strengths/weaknesses of the study, novelty, significance, general execution and scholarship. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. If requesting major revision, please articulate the new experiments that are needed.

Reviewer #1: (No Response)

**********

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

PLoS Negl Trop Dis. doi: 10.1371/journal.pntd.0010429.r004

Acceptance letter

jong-Yil Chai, Aaron R Jex

19 May 2022

Dear Dr. Lai,

We are delighted to inform you that your manuscript, "Cost-effectiveness evaluation of different control strategies for Clonorchis sinensis infection in a high endemic area of China: a modelling study," has been formally accepted for publication in PLOS Neglected Tropical Diseases.

We have now passed your article onto the PLOS Production Department who will complete the rest of the publication process. All authors will receive a confirmation email upon publication.

The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any scientific or type-setting errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript. Note: Proofs for Front Matter articles (Editorial, Viewpoint, Symposium, Review, etc...) are generated on a different schedule and may not be made available as quickly.

Soon after your final files are uploaded, the early version of your manuscript will be published online unless you opted out of this process. The date of the early version will be your article's publication date. The final article will be published to the same URL, and all versions of the paper will be accessible to readers.

Thank you again for supporting open-access publishing; we are looking forward to publishing your work in PLOS Neglected Tropical Diseases.

Best regards,

Shaden Kamhawi

co-Editor-in-Chief

PLOS Neglected Tropical Diseases

Paul Brindley

co-Editor-in-Chief

PLOS Neglected Tropical Diseases

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. The full model of C. sinensis infection with interventions.

    (TIF)

    S1 Table. Descriptions of model parameters (unit: day-1).

    (DOCX)

    S2 Table. Observed prevalence of C. sinensis infection among groups of people with different frequencies of raw fish consumption in Fusha Town.

    (DOCX)

    S3 Table. The prior distributions and posterior estimations of model parameters (unit: day-1).

    (DOCX)

    S4 Table. Values set for compliance of chemotherapy among different kinds of targeted population.

    (DOCX)

    S5 Table. Values of intervention parameters of the current recommended control strategies.

    (DOCX)

    S6 Table. Costs of each aspect of the control strategies.

    (DOCX)

    S7 Table. Simulation results under the effective control strategies that could reach infection control within 10 years.

    (DOCX)

    S8 Table. Simulation results under the effective control strategies that could reach transmission control within 10 years.

    (DOCX)

    S9 Table. The optimal cost-effective strategies with targeted population of any types and the upper coverage set to 90%.

    (DOCX)

    S10 Table. The optimal cost-effective strategies to reach infection control for other targeted populations of chemotherapy.

    (DOCX)

    S11 Table. The optimal cost-effective strategies to reach transmission control for other targeted populations of chemotherapy.

    (DOCX)

    S1 File. Transmission model.

    (DOCX)

    S2 File. Full model with interventions.

    (DOCX)

    S3 File. Three recommended strategies.

    (DOCX)

    S4 File. Calculation of costs.

    (DOCX)

    S5 File. Calculation of DALYs.

    (DOCX)

    Attachment

    Submitted filename: Response letter v2.docx

    Data Availability Statement

    Data used in the manuscript was derived from the published literature which has been included in the manuscript (Du S. et al [21]).


    Articles from PLoS Neglected Tropical Diseases are provided here courtesy of PLOS

    RESOURCES