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Spatial-temporal distribution of neglected tropical diseases burdens in China from 2005 to 2020

Abstract

Background

Out of the 21 neglected tropical diseases (NTDs) listed by the World Health Organization, 15 affect the People’s Republic of China. Despite significant achievements in controlling NTDs, comprehensive assessments of the disease burden based on actual case data and detailed information on spatial and temporal dynamics are still lacking. This study aims to assess the disease burden and spatial–temporal distribution of NTDs in China from 2005 to 2020, to provide a reference for the formulation of national health agendas in line with the global health agenda, and guide resource allocation.

Methods

The number of cases and deaths of major NTDs in China from 2005 to 2020 were downloaded from the China Public Health Science Data Center (https://www.phsciencedata.cn/Share/index.jsp) of the Chinese Center for Disease Control and Prevention and relevant literatures. Simplified formulas for disability-adjusted life years (DALYs) helped estimate the years of life lost (YLLs), years lived with disability (YLDs), and total DALYs. Spatial autocorrelation analysis of the average NTDs burden data for the years 2005 to 2020 was evaluated using Moran's I statistic.

Results

China's overall NTDs burden decreased significantly, from 245,444.53 DALYs in 2005 to 18,984.34 DALYs in 2020, marking a reduction of 92.27%. In 2005, the DALYs caused by schistosomiasis and rabies represent a substantial proportion of the total disease burden, accounting for 65.37% and 34.43% respectively. In 2015, Hunan and Sichuan provinces had the highest diversity of NTDs, with 9 and 8 number of different NTDs reported respectively. And the highest disease burden was observed in Sichuan (242,683.46 DALYs), Xizang Zizhiqu (178,318.99 DALYs) and Guangdong (154,228.31 DALYs). The “high-high” clustering areas of NTDs were mainly in China's central and southern regions, as identified by spatial autocorrelation analysis.

Conclusions

China has made unremitting efforts in the prevention and control of NTDs, and the disease burden of major NTDs in China has decreased significantly. Using the One Health concept to guide disease prevention and control in the field to effectively save medical resources and achieve precise intervention.

Graphical abstract

Background

Neglected tropical diseases (NTDs) are a group of diseases prevalent mainly in tropical and subtropical regions, widespread among populations in neglected, marginal, and impoverished communities. In 2010, the World Health Organization (WHO) published its first global NTDs report, “Accelerating Work to Overcome the Global Impact of Neglected Tropical Diseases—a Roadmap for Implementation”, in which 17 diseases were listed as NTDs [1]. In the new roadmap issued by the WHO in 2020, three diseases were added [2]. In 2023, WHO officially recognized noma as a new NTD [3]. The new roadmap also sets out overall global targets to be achieved by 2030: a 90% reduction in people requiring NTD interventions and a 75% reduction in the proportion of DALYs associated with NTDs [2].

Out of the 21 NTDs listed by the WHO, 15 affect the human health in the People’s Republic of China (Table 1). Since 1949, significant achievements have been made on the prevention and control of diseases in China. For instance, lymphatic filariasis was eliminated in 2007 [4]. By the end of 2014, the goal of eliminating blinding trachoma as proposed by the WHO was achieved [5]. Regarding Schistosoma japonicum, the transmission interruption was achieved by the end of 2023, with no acute reported human cases and no reported infection in Oncomelania snails for six consecutive years [6], so that the expected final elimination goal of schistosomiasis has been proposed by 2030 [2]. The prevalence rate of cystic and alveolar echinococcosis has decreased in recent years. However, a large population in China are still at risk of the infection, with significant regional and age distributions [7]. Leishmaniasis was primarily eliminated in China in 1958, but there have been local resurgences reported in northwestern and central China in recent years. Current incidence rates remain low [8]. Dengue has been reported in southern China, with most local cases associated with imported cases [9], which often develops into outbreaks [10]. In some regions, the prevalence and intensity level of food-borne trematodes (FBTs) infections, such as clonorchiasis, have expanded and increased both in space and time [11, 12].

Table 1 Presence and impact of and interventions against the neglected tropical diseases in China

Although China has made substantial progress in controlling NTDs, there is still a risk of zoonotic diseases and the emergence/re-emergence of a range of vector-borne infectious diseases. Even if schistosomiasis mansoni, schistosomiasis haematobium, African trypanosomiasis, dracunculiasis, American trypanosomiasis, onchocerciasis, Buruli ulcer and yaws have not occurred in China [13], the presence of certain vectors or intermediate snail hosts should be existed. For instance, Triatoma rubrofasciata, a vector of American trypanosomiasis, is widely distributed in southern China such as Guangdong and Hainan provinces [14]. A risk assessment considered China as moderate potential transmission areas of American trypanosomiasis [15]. Biomphalaria straminea, the intermediate snail host of Schistosoma mansoni, was found in Shenzhen City of southern China in the 1990s and has expanded widely in recent years [16].

The prevalence of NTDs in China has lately been the focus of intensive control programmes and multi-sectoral cooperative efforts. Its total burden has indeed declined significantly in the last decades. However, understanding the burden of NTDs in China was mainly based on global estimates and analyses. Although studies by Zeng et al. [17] and Yang et al. [18] provided valuable insights into the global and regional prevalence of NTDs, the detailed spatiotemporal analyses specific to provinces and regions within China are still missing. Furthermore, the latest NTD roadmap, which the WHO recently released, adds four new diseases. Given these major updates, conducting a comprehensive and updated assessment of the status of all NTDs within China is imperative.

This study aims to assess the disease burden and spatial–temporal distribution of NTDs in China from 2005 to 2020. With the up-to-date assessment of the burden of diseases, the study will provide an understanding of health challenges and play a key role in shaping national health agendas in line with the global health agenda, guiding resource allocation.

Methods

Data collection

The reported cases and deaths of dengue fever, rabies, leprosy, echinococcosis, and visceral leishmaniasis (kala-azar) from 2005 to 2020 was extracted from the Data-center of China Public Health Science of Chinese Center for Disease Control and Prevention (China CDC) (https://www.phsciencedata.cn/Share/). Data on schistosomiasis cases in China from 2005 to 2020 were obtained from the National Schistosomiasis Reports, available through the China National Knowledge Infrastructure (CNKI). Data for taeniasis/cysticercosis, clonorchiasis, and soil-transmitted helminths (STHs) were collected only for the year 2015 and were obtained from China's third national parasitic disease survey report [19]. The above data covers all Chinese province-level administrative divisions (PLADs) consisting of 31 Chinese provinces, autonomous regions, municipalities, Xinjiang Production and Construction Corp.

We referred to clinically relevant literatures to determine the disease course. Life expectancy and population data of each PLAD in China were obtained from the China Statistical Yearbook (https://www.stats.gov.cn/sj/ndsj/2021/indexch.htm). Disability weights (DW) for each disease were sourced from relevant literatures and Global Health Data Exchange (GHDx) (https://ghdx.healthdata.org/record/ihme-data/gbd-2019-disability-weights). We did not evaluate the DALYs of poisonous snake bites, noma (cancrum oris), scabies and other ectoparasitic diseases, as well as mycetoma, chromoblastomycosis and other deep mycoses due to lack of DW values and the complete number of cases. Trachoma and lymphatic filariasis have been eliminated in China.

DALY calculation

This study uses a simplified DALY formula that does not consider age weighting and time discounting to estimate the disease burden from 2005 to 2020. Following the methods proposed by WHO [20], the original incidence or prevalence data for each disease are collected, processed, and analysed to calculate the years of life lost (YLLs) and years lived with disability (YLDs), and then summed to obtain the DALY measure according to the formula:

$$ {\text{DALY }} = {\text{ YLL }} + {\text{ YLD}};{\text{ YLL }} = {\text{ N }} \times {\text{ L}};\quad {\text{ YLD }} = {\text{ I }} \times {\text{ d }} \times {\text{ DW }} = {\text{ P }} \times {\text{ DW}}. $$
(1)

where I is the number of incident cases; d is the average duration of disease; DW is the disability weight; P is the number of prevalence cases; N represents the number of deaths; and L is standard life expectancy at age of death in years.

Dengue fever and rabies were calculated by I × d × DW. The rest NTDs were calculated by P × DW.

The changes in the disease burden for dengue, rabies, leprosy, echinococcosis, schistosomiasis, and visceral leishmaniasis from 2005 to 2020 were analysed and stratified into four timeframes: 2005–2008, 2009–2012, 2013–2016, and 2017–2020. For STHs, taeniasis/cysticercosis, and clonorchiasis, only nationwide epidemiological survey data for 2015 was available and retrieved; therefore, it was excluded from the comparative spatiotemporal analysis while calculating the overall and provincial disease burden for these diseases.

Similarly, DALYs data in 2015 were used for visualized analysis when comparing four diseases of canine origin (rabies, echinococcosis, leishmaniasis and clonorchiasis) and four diseases that could be treated with praziquantel (cysticercosis, schistosomiasis, echinococcosis, and clonorchiasis).

Spatial autocorrelation analysis

Spatial autocorrelation analysis encompasses Global Indication of Spatial Autocorrelation (GISA) and Local Indication of Spatial Autocorrelation (LISA). The global Moran's I detects spatial clustering patterns across the study area. Subsequent local spatial autocorrelation analysis reflects the degree of correlation between a region and its neighbouring areas. Based on the Z-test (P ≤ 0.05), a LISA cluster map is constructed [21], thereby determining the spatial distribution of study units in "high–high", "high–low", "low–high", and "low–low" categories. The Moran scatter plot is utilized to examine local spatial instability.

Statistical analysis

Data preparation was conducted using Excel 2021 (Microsoft, Redmond, American), while spatial data management and cartographic representation were performed using ArcGIS 10.8 software (Environmental Systems Research Institute, RedLands, American). Spatial autocorrelation analysis of the average NTDs burden data for the years 2005 to 2020 was carried out using GeoDa 1.2.0 (Center for Spatial Data Science, Chicago, American) software. Spatial autocorrelation was evaluated using Moran's I statistic. P values less than 0.05 were considered statistically significant. Additionally, the ranking changes of six diseases were visualized using the Origin 2022 (OriginLab, Northampton, American) software.

Results

The latest basic information on NTDs

Table 1 meticulously outlines the current landscape of NTDs in China. It presents an encompassing view of the pathogens, prevalence, the number of new infections, endemic regions, key transmission drivers, and the quantified health impacts that DW represents. For instance, the table notes significant figures such as over 80,000 local cases of dengue reported between 2005 and 2020, including 778 in 2020, with transmission chiefly facilitated by Aedes spp. mosquitoes and human mobility. With a 100% mortality rate, rabies reported 202 new cases in 2020. Bacterial infections like leprosy showed 200 new cases in 2020, mainly in the southern region. The table further details intervention strategies across these diseases, from mosquito breeding control and vaccination against rabies to multidrug therapy for leprosy and improved sanitation and water safety to combat schistosomiasis. These interventions align with WHO and China-specific goals, such as aiming for no global fatalities from dengue by 2030 and eliminating leprosy transmission risk and cases by the same year. For example, interventions for dengue include mosquito breeding control, prevention of local transmission, and the development of vaccines and drugs. For rabies, strategies include the vaccination of humans and dogs, and the implementation of legislation to control dog breeders. The multifaceted approach to combating schistosomiasis includes providing safe water, strengthening sanitation, and continuing snail control efforts.

Rankings and geographic differences of the NTD burdens

The overall NTD burdens in China have declined significantly, as depicted in Fig. 1A. The total DALYs have decreased from 245,444.53 in 2005 to 18,984.34 in 2020, which translates to a 92.27% reduction. In 2005, the DALYs caused by schistosomiasis and rabies represent a substantial proportion of the total disease burden, accounting for 65.37% and 34.43% respectively. At the same time, those from echinococcosis, leprosy, visceral leishmaniasis, and dengue account for a smaller share. Although the disease burden of schistosomiasis and rabies is decreasing yearly, their rankings remain in the top one and two. Dengue and echinococcosis rank relatively low, but their burden is increasing continuously. The rank of dengue exceeded from the sixth to the fourth position. As shown in Fig. 1B, the downward trend in disease burden was particularly prominent in the central regions of China, including PLADs such as Hubei, Hunan, and Jiangxi, where the reductions were 94.36%, 92.54%, and 91.73% respectively. These regions mainly reported diseases of schistosomiasis, rabies, and cysticercosis.

Fig. 1
figure 1

Comprehensive analysis of the burden of neglected tropical diseases (NTDs) in China from 2005 to 2020. A Depicts the changing trends in the overall NTDs burden within China over 16 years, presenting a declining trajectory with specific diseases highlighted at various intervals. B Illustrates the geographical distribution of the NTDs burden by province for the years 2005 and 2020, highlighting the variation and reduction in disease prevalence. The maps show a significant decline in the burden of NTDs in many provinces, particularly in central and southern regions of China. Map approval number: GS(2024)3052

Given the NTDs data in 2015, including data from the third national parasitic diseases surveys, we created geographical distribution maps for the number of co-endemic diseases by PLAD and the disease burden values for the major NTDs. The PLADs with the highest diversity of NTDs (with 9 to 7 co-endemic NTDs) are in Hunan (9), Sichuan (8), Yunnan (7), Jiangxi (7) provinces and the Xinjiang Uygur Zizhiqu (Autonomous Region) (7) (Fig. 2A). Those with higher NTD burdens are placed in Sichuan and Guangdong provinces and the Xizang Zizhiqu (Fig. 2B).

Fig. 2
figure 2

Co-endemic maps of major neglected tropical diseases (NTDs) in China by provincial-level administrative divisions in 2015. A The number of co-endemic NTDs. B The DALYs of co-endemic NTDs. In this comparison, we only included nine diseases for which data were available in our calculations, namely dengue fever, rabies, leprosy, echinococcosis, schistosomiasis, leishmaniasis, STHs, taeniasis, and clonorchiasis. Map approval number: GS(2024)3052

We know that the same host can transmit multiple diseases. For example, dogs are the primary transmission host of four NTDs: rabies, echinococcosis, leishmaniasis and clonorchiasis (Fig. 3A). In 2015, the total DALYs of the major NTDs in China numbered 840,924.60 DALYs, a number where rabies, echinococcosis, leishmaniasis and clonorchiasis accounted for 36.09% or 303,449.50 DALYs.

Fig. 3
figure 3

The distribution and proportion of disease burden of four dog-mediated neglected tropical diseases (NTDs) and four praziquantel-treatable NTDs. A Illustrates the distribution and disease burden of four dog-mediated NTDs in China. B Depicts the distribution and disease burden of four praziquantel-treatable NTDs, providing insights into the effectiveness of intervention strategies across different regions. Map approval number: GS(2024)3052

Praziquantel is a broad spectrum antiparasitic drug that can treat infections caused by both cestodes and trematodes (except for Fasciola spp. species). It is thus used against cysticercosis, echinococcosis, schistosomiasis, and the FBTs (such as clonorchiasis and paragonimiasis), which account for 57.55% of total DALYs. Xizang Zizhiqu and Guangdong province have the highest disease burden, reaching 177,707.83 and 112,109.10 DALYs, respectively. The analysis revealed that Hunan, Jiangxi, Sichuan, Yunnan provinces, and the Xinjiang Uygur Zizhiqu have a concurrent presence of 3–4 of the NTDs above (Fig. 3B).

Spatial autocorrelation analysis

Because the regions with high and low NTD burdens did not change significantly from 2005 to 2020, we used average data for the spatial analysis. Figure 4 displays GISA and LISA clustering analysis for the average burden of NTDs from 2005 to 2020, indicating that PLADs with higher burdens of NTDs tended to cluster together. The "high–high" clusters, represented in red, include Jiangxi, Hubei, Anhui, and Hunan provinces, indicating a consistently higher burden of NTDs over the 16-year period. The "low–low" clusters, represented in blue, include PLADs in the northern regions of China, indicating a consistently lower burden. The spatial clustering pattern underscores the persistent and localized nature of the NTD burden, predominantly concentrated in central and southern China.

Fig. 4
figure 4

Distribution of spatiotemporal clustering of neglected tropical diseases (NTDs) burden in China from 2005 to 2020. The Global Indication of Spatial Autocorrelation coefficient (Moran's I = 0.371, P = 0.004) is presented in the scatterplots. The Local Indication of Spatial Autocorrelation outcome, based on the average NTDs burden data for the years 2005 to 2020, is depicted in China map. Red colour indicates areas with "high-high" categories and blue areas with "low-low" categories. Map approval number: GS(2024)3052

Discussion

Disease burden as an observational measure

Compared with the study carried out by Yang et al. in 2014 [18], the NTDs mapping presented here, using DALYs instead of absolute numbers of those affected, provides a more comprehensive assessment. This mapping aligns with global health goals, such as those outlined by the WHO. It would not only aid the efficient allocation of resources for NTDs control and elimination but also allow a more accurate understanding of the impact of the NTDs on society in a specific geographical region. In addition, it promotes evidence-based decision-making by considering the severity of different disabilities and the duration of time individuals are affected. Indeed, precision mapping for national NTD control programmes could assist in comparing the relative impact of different NTDs and guide resource allocation more correctly than otherwise. By prioritizing diseases with higher DALY values, limited resources can be correctly allocated and achieve better impacts. For instance, Fig. 2A demonstrates a low co-presence of 3–4 NTDs in the Xizang Zizhiqu, while Fig. 2B shows a high disease burden of 178,318.99 DALYs due to taeniasis/cysticercosis. Mapping NTDs by DALYs allows for better coordination and evaluation of progress towards these goals at the global level.

Our research found that dengue fever has continuously increased in recent years. There are several reasons why dengue cases have increased and expanded northward into China. With climate change, warmer temperatures and increased precipitation in previously cool regions have created suitable conditions for the mosquito species Aedes aegypti and Ae. albopictus that transmit the dengue virus. Globalization has facilitated the movement of infected individuals and vector mosquitoes. Rapid urbanization and infrastructure development, particularly in southern China, have created more conducive environments for mosquito breeding. It is now essential to strengthen the surveillance-response system to minimize the public health impact of this emerging/re-emerging disease. An integrated vector control approach should be implemented with relevant stakeholders, including local government, environmental agencies, and community organizations.

Echinococcosis is mainly distributed in pastoral areas with poor sanitation and economic conditions (such as the Xizang Zizhiqu, Qinghai, and Gansu provinces). It is common for Xizang nomads to feed the internal organs of slaughtered cattle and sheep to their dogs. This practice, along with weak preventive awareness, poor local sanitation conditions, and wild sources of infection (through stray dogs, wolves, and foxes), pose a severe challenge to preventing and controlling echinococcosis. It is shown that there has been an increasing trend in the number of echinococcosis cases over the years with focus in Qinghai and Sichuan provinces. It may be related to the intensive screening for echinococcosis after release of national-level control plans. Additionally, the transmission of echinococcus is influenced by various environmental factors that can be affected by natural events, including global warming. This suggests that environmental, biological, and socioeconomic factors should be considered in disease management. This is essential for the development of effective control and preventive measures to prevent the spread of echinococcosis in affected areas.

Food-borne NTDs include FBTs and taeniasis. In 2015, the disease burden of important FBTs in China accounted for 26.50% of the total NTDs in this study, suggesting that increased attention is warranted. According to the "2015 National Survey on the Status of Key Human Parasitic Diseases" [19], a total of 18 PLADs prevailed with Clonorchis sinensis with 3.46 million estimated infections mainly in southern and northeastern China. The disease burden of taeniasis in 2015 was estimated to be 305,320.57 DALYs, mainly in the southwestern Xizang Zizhiqu and Sichuan province. In order to promote the prevention and control of food-borne NTDs and explore control strategies under the new settings, since 2019, a total of 10 clonorchiasis intervention pilots have been established in six PLADs, namely Jilin, Heilongjiang, Hunan, Guangdong, Guizhou and Guangxi Zhuang Zizhiqu, and one pilot for taeniasis intervention in Xizang Zizhiqu [22].

The First National Epidemiological White Paper on Snakebite [23], published in 2023, provides an overview of the snakebite epidemiology in China (Fig. 5). The white paper presents comprehensive data on the incidence and distribution of snakebite cases in 12 PLADs. It analyses geographical variations, seasonal patterns, demographic characteristics of snakebite victims, snake species and venom profiles, healthcare access and response. Snakebite incidents in Yunnan, Guangdong, Hainan, Guizhou, and Fujian provinces are primarily attributed to Trimeresurus stejnegeri. Hubei, Hunan, and Jiangxi provinces, snakebites mainly involve Agkistrodon halys. Protobothrops mucrosquamatus snake is the primary culprit in Sichuan province and Chongqing Municipality. In Guangxi Zhuang Zizhiqu, Naja atra is the predominant species. The white paper discusses existing prevention and control measures implemented in China and highlights the importance of future key research areas. These include prioritizing advancements in the production, accessibility, and efficacy of antivenom to enhance the treatment of snakebite cases. Additionally, there is a need for ongoing monitoring snakebite incidents to comprehensively understand the evolving patterns and risk factors associated with snakebites across diverse regions. Furthermore, it emphasizes the necessity of fortifying healthcare systems to ensure prompt response and efficient access to effective treatment options.

Fig. 5
figure 5

Snake bites prevalence and main types involved in surveillance provincial-level administrative divisions in China. This figure maps out the prevalence of snake bites across China's provincial-level administrative divisions. It further details the primary types of venomous snake species responsible for these bites. Map approval number: GS(2024)3052

Harnessing the power of One Health by integrating NTD control strategies

One Health is a collaborative, multi-disciplinary approach that recognizes the interconnectedness of human, animal, and environmental health. Applying the One Health theory allows for a holistic and interdisciplinary approach to addressing zoonotic diseases [24]. It emphasizes the collaboration and coordination of experts from various fields, such as medicine, veterinary sciences, ecology, environmental sciences, and public health. By integrating knowledge and expertise from these disciplines, it becomes possible to understand the complex interactions between humans, animals, and the environment and develop cost-effective strategies for prevention and control of NTDs.

A successful One Health case in China is the control of schistosomiasis. Implementing the National Schistosomiasis Control Program in China has involved collaboration between health, agriculture, water resources, environmental protection, and health education sectors. This comprehensive approach has included snail control programs, sanitation and safe water supply improvements, health education, and regular medical treatments. These efforts with One Health approach have significantly reduced the burden of schistosomiasis in China. The disease has been eliminated as a public health problem with prevalence less than 1% by 2015 [25] and now the Chinese government has set a target to achieve the ultimate goal of complete elimination by 2030 [2].

The "Action Plan for the Prevention and Control of Echinococcosis (2010–2015)" [26] was a comprehensive initiative launched by the Chinese government to address the prevention and control of echinococcosis. Subsequently, the "National Key Parasitic Disease Prevention and Control Plan (2006–2015)" [26] and the "Healthy China Action Plan (2019–2030)" [27] were successively introduced to anti-echinococcosis. China aims to achieve the interim goal of transmission control of echinococcosis by 2025 and the goal of transmission interruption by 2030. The key components of these action plans included: (1) surveillance and monitoring of echinococcosis in both humans and animals; (2) implementation of preventive measures, such as health education and deworming programs for dogs; (3) improved diagnosis and treatment of echinococcosis in humans; and (4) coordination and collaboration among various sectors, including health, agriculture, and environmental protection, another good example reflecting One Health approach. It is believed that China will make more significant achievements in global health governance and provide other countries with Chinese solutions in the future. At the same time, considering Chinese large geographical scale and significant ecological diversity, the allocation and management of resources in the country are facing more complex challenges, and it is hoped that relevant international policies will be more inclined to support China and provide more resources.

Our research contributes valuable insights that can inform a more comprehensive and effective response to the challenges posed by NTDs, ultimately fostering shared health and sustainable development for humans, animals, and environment. In this study, we presented aggregated multiple diseases burden mapping, which allows for a comprehensive understanding of their distribution and overlaps. This information can help prioritize and allocate resources effectively and correctly by identifying common transmission pathways. Implementing intervention with One Health approach that target same host responsible for transmitting multiple diseases can be a cost-effective approach akin to a "one stone, two birds" strategy. Similarly, treating multiple NTDs with a single drug can also have a synergistic effect. This indicates that we can improve the efficiency of medical resource utilization by treating multiple diseases with a single drug. For instance, dogs serve as the primary transmission hosts for four types of NTDs, including rabies, echinococcosis, leishmaniasis, and clonorchiasis. Praziquantel can be used to against cysticercosis, echinococcosis, schistosomiasis, and the FBTs (such as clonorchiasis and paragonimiasis). Different diseases control groups/programmes focusing on the same target host or same drug chemotherapy should work together to effectively interrupt the transmission of these NTDs. Health education and targeted awareness campaigns should be conducted to educate key populations about the risks and harms associated with NTDs transmitted by same host and treated by same drug.

Study limitations

This study has several limitations. Firstly, the reliance on reported cases and deaths from national databases may result in underreporting or misreporting, leading to potential inaccuracies in the disease burden estimates. Secondly, the use of disability weights from global sources may not fully capture the local context and specific impacts of NTDs in China. Furthermore, the burden of mental health/disability [28] is not considered in this study, which may lead to an underestimation of the actual disease burden. Additionally, the data on NTDs were obtained from various sources, and the quality and completeness of the data may vary, potentially affecting the accuracy of our estimates.

Conclusions

This study employs DALYs as the core metric to deeply analyse the disease burden of NTDs. Compared to traditional research methodologies based on morbidity rates, the use of DALYs offers a more comprehensive assessment perspective, guiding the effective control and eradication of NTDs. We learned that China's significant progress in the fight against NTDs is multifaceted. Firstly, through national health reforms and public health initiatives, the disease burden of major NTDs in China has been significantly reduced. For example, schistosomiasis has implemented a comprehensive disease surveillance and control strategy, and the incidence and transmission of the disease has been greatly reduced. Additionally, substantial investments by the Chinese government in infrastructure and public health services have positively impacted disease control efforts. Secondly, the adoption of the One Health concept to guide disease prevention and control is an innovative approach. This method not only improves the utilization efficiency of medical resources, but also promotes the sustainable development of public health sector. Finally, China's success story provides valuable experience and models for other countries to learn from. With strong government policy support and multi-sectoral cooperation, China has demonstrated the feasibility of effectively controlling NTDs, providing important insights for global health governance.

Availability of data and materials

Relevant data are available from the corresponding author on request.

Abbreviations

NTDs:

Neglected tropical diseases

CDC:

Center for Disease Control and Prevention

DALYs:

Disability-adjusted life years

YLLs:

Years of life lost

YLDs:

Years lived with disability

WHO:

World Health Organization

FBTs:

Food-borne trematodes

CNKI:

China National Knowledge Infrastructure

PLADs:

Provincial-level administrative divisions

STHs:

Soil-transmitted helminths

DW:

Disability weights

GHDx:

Global Health Data Exchange

GISA:

Global Indication of Spatial Autocorrelation

LISA:

Local Indication of Spatial Autocorrelation

References

  1. World Health Organization. Accelerating work to overcome the global impact of neglected tropical diseases—a roadmap for implementation. World Health Organization; 2012. https://iris.who.int/bitstream/handle/10665/70809/WHO_HTM_NTD_2012.1_eng.pdf?sequence=1. Accessed 12 Sept 2023.

  2. World Health Organization. Ending the neglect to attain the Sustainable Development Goals: A road map for neglected tropical diseases 2021–2030. World Health Organization; 2020. https://www.who.int/publications/i/item/9789240010352. Accessed 12 Sept 2023.

  3. World Health Organization. WHO officially recognizes noma as a neglected tropical disease. World Health Organization; 2023. https://www.who.int/news/item/15-12-2023-who-officially-recognizes-noma-as-a-neglected-tropical-disease. Accessed 12 Sept 2024.

  4. Sun DJ. The historical witness of the elimination of lymphatic filariasis in China. Chin J Parasitol Parasit Dis. 2019;37(4):383–7 (in Chinese).

    Google Scholar 

  5. Medical Administrationand Hospital Authority. "Say goodbye to trachoma blindness and pay attention to eye health" China has achieved the goal of eradicating blinding trachoma 2015. Medical Administrationand Hospital Authority; 2015. http://www.nhc.gov.cn/yzygj/s7652/201506/898dc6013aad4e4aa8a4bbef974853e2.shtml. Accessed 12 Sept 2024.

  6. Wang W, Bergquist R, King CH, Yang K. Elimination of schistosomiasis in China: current status and future prospects. PLoS Negl Trop Dis. 2021;15(8):e0009578.

  7. Wu WP, Wang H, Wang Q, Zhou XN, Wang LY, Zheng CJ, et al. A nationwide sampling survey on echinococcosis in China during 2012–2016. Chin J Parasitol Parasit Dis. 2018;36(1):1–14 (in Chinese).

  8. Zhou ZB, Pan GQ, Li YY, Liu Q, Yang LM, Li ZQ, et al. Prevalence of visceral leishmaniasis in China in 2021. Chin J Parasitol Parasit Dis. 2023;41(2):149–55 (in Chinese).

    Google Scholar 

  9. Yue YJ, Ren DS, Liu XB, Wu HX, Guo YH, Zhao N, et al. A study on spatial characteristics and correlations of different types of dengue cases in mainland China. Chin J Vector Biol Control. 2020;31(05):517–20 (in Chinese).

    Google Scholar 

  10. Chun WF. Epidemic situation and prevention and control measures of dengue fever in China. Occup Health. 2018;34(12):1717–21 (in Chinese).

    Google Scholar 

  11. Jiang ZH, Chao YY, Wan XL, Li CH, Ming HF. Preliminary analysis of geographical and basin distribution characteristics of clonorchiasis sinensis in Guangxi. Chin Trop Med. 2015;15(09):1057–61 (in Chinese).

    Google Scholar 

  12. Qian MB, Chen YD, Yang YC, Lu MF, Jiang ZH, Wei K, et al. Increasing prevalence and intensity of foodborne clonorchiasis, Hengxian County, China, 1989–2011. Emerg Infect Dis. 2014;20:1872–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Liu YY, Yang HT, Yang K, Huang YZ. The current status of neglected tropical diseases and the coping strategy exploration of China. Chin J Dis Control Prev. 2022;26(12):1450 (in Chinese).

    Google Scholar 

  14. Liu Q, Guo YH, Zhang Y, Zhou ZB, Zhang LL, Zhu D, et al. First records of Triatoma rubrofasciata (De Geer, 1773) (Hemiptera, Reduviidae) in Foshan, Guangdong Province, Southern China. Infect Dis Poverty. 2017;6(1):129.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Qian YJ, Li SZ, Wang Q, Zhang L, Liu W, Chen JX, et al. Rapid risk assessment on the import of American trypanosomiasis to China. Chin J Parasitol Parasit Dis. 2013;31(1):57–9 (in Chinese).

    Google Scholar 

  16. Zhou XN, Li SZ, Xu J, Chen J, Wen L, Zhang R, et al. Surveillance and control strategy of imported schistosomiasis mansoni: an expert consensus. Chin J Schistosomiasis Control. 2019;31:591–5 (in Chinese).

    CAS  Google Scholar 

  17. Zeng T, Lü S, Tian L, Li S, Sun L, Jia T. Temporal trends in disease burden of major human parasitic diseases in China from 1990 to 2019. Chin J Schistosomiasis Control. 2023;35(1):7–14 (in Chinese).

    CAS  Google Scholar 

  18. Yang GJ, Liu L, Zhu HR, Griffiths S, Tanner M, Bergquist R, et al. China’s sustained drive to eliminate neglected tropical diseases. Infect Dis. 2014;14(9):881–92.

    Google Scholar 

  19. Chen YD, Zhou CH, Zhu HH, Huang JL, Duana L, Zhu TJ, et al. National survey on the current status of important human parasitic diseases in China in 2015. Chin J Parasitol Parasit Dis. 2020;38(1):5–12 (in Chinese).

    Google Scholar 

  20. World Health Organization. WHO methods and data sources for country-level causes of death 2000–2016. World Health Organization; 2018. https://terrance.who.int/mediacentre/data/ghe/GlobalCOD_method_2000_2016.pdf?ua=1. Accessed 12 Sept 2023.

  21. Yue YJ, Ren DS, Liu QY. Spatial-temporal distribution of dengue fever in the mainland of China, 2005–2013. Dis Surveill. 2015;30(7):555–60.

    Google Scholar 

  22. Qian MB, Li SZ, Zhou XN. Epidemiological status and control of important food-borne parasitic diseases in China. J Trop Dis Parasitol. 2021;19(5):241 (in Chinese).

    Google Scholar 

  23. Liu JY. The White Paper on the Epidemiology of Snakebites in China was released in Chengdu, and only 34.59% of the injured could be treated in time. 2023. https://baijiahao.baidu.com/s?id=1765785513157398330&wfr=baike. Accessed 12 Sept 2023.

  24. Wang X, Rainey JJ, Goryoka GW, Liang Z, Wu SY, Wen LM, et al. Using a One Health approach to prioritize zoonotic diseases in China, 2019. PLoS ONE. 2021;16(11):e0259706.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Hong Z, Wu LL, Wang LP, Xu J. Progress and challenges on global schistosomiasis control. Chin J Parasitol Parasit Dis. 2021;39(4):514 (in Chinese).

    Google Scholar 

  26. Zhou XN. Status and future focus of the national control program on parasitic diseases. Chin J Schistosomiasis Control. 2011;23(5):473 (in Chinese).

    Google Scholar 

  27. Central People's Government of the People's Republic of China. Healthy China Action (2019–2030): Central People's Government of the People's Republic of China; 2019. https://www.gov.cn/xinwen/2019-07/15/content_5409694.htm. Accessed 5 April 2024.

  28. Adjorlolo S, Adimado EE, Setordzi M, Akorli VV. Prevalence, assessment and correlates of mental health problems in neglected tropical diseases: a systematic review. Int Health. 2024;16(Supplement_1):i12–21.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We acknowledge Prof. Xiao-Nong Zhou, from Chinese Center for Tropical Research, for his valuable knowledge and recommendations controlling and eliminating NTDs.

Funding

This work research was supported by the National Natural Science Foundation of China (82260655), Hainan Natural Science Foundation (821CXTD440), and the National Key Research and Development Program of People’s Republic of China (grant no. 2021YFC2300800 and 2021YFC2300804).

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Authors and Affiliations

Authors

Contributions

G.Y. conceived the study and has directly accessed and verified the underlying data. G.Y. developed the methodology. H.O. collected the data. H.O. and Z.Z. analyzed the results. G.Y., H.O., and Z.Z. wrote the first draft. I.S.F. and A.G.D. contributed their expertise to the research. H.O. and Z.Z. searched the literatures and generated the figures. R.B. and O.E.O. polished the manuscript. All authors provided feedback and approved the final manuscript.

Corresponding author

Correspondence to Guojing Yang.

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Competing interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Robert Bergquist: Formerly at the UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases.

Supplementary Information

Additional file 1: Table S1.

DALYs (person-years) of neglected tropical diseases in China, 2005-–2020.

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Ouyang, H., Zhao, Z., Fall, I.S. et al. Spatial-temporal distribution of neglected tropical diseases burdens in China from 2005 to 2020. Infect Dis Poverty 13, 64 (2024). https://doi.org/10.1186/s40249-024-01235-y

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