China’s 1-3-7 surveillance and response strategy for malaria elimination: Is case reporting, investigation and foci response happening according to plan?
© Zhou et al. 2015
Received: 8 October 2015
Accepted: 25 November 2015
Published: 10 December 2015
The China’s 1-3-7 strategy was initiated and extensively adopted in different types of counties (geographic regions) for reporting of malaria cases within 1 day, their confirmation and investigation within 3 days, and the appropriate public health response to prevent further transmission within 7 days. Assessing the level of compliance to the 1-3-7 strategy at the county level is a first step towards determining whether the surveillance and response strategy is happening according to plan. This study assessed if the time-bound targets of the 1-3-7 strategy were being sustained over time. Such information would be useful to improve implementation of the 1-3-7 strategy in China.
This cross-sectional study involved country-wide programmatic data for the period January 1st 2013 to June 30th 2014. Data variables were extracted from the national malaria information system and included socio-demographic information, type of county, date of diagnosis, date of reporting, date of case investigation, case classification (indigenous, or imported, or unknown), focus investigation, date of reactive case detection (RACD), and date of indoor residual spraying (IRS). Summary statistics and proportions were used and comparisons between groups were assessed using the chi-square test. Level of significance was set at a P-value ≤ 0.05.
Of a total of 5,688 malaria cases from 731 counties, there were 55 (1 %) indigenous cases (only in Type 1 and Type 2 counties) and 5,633 (99 %) imported cases from all types of counties. There was no delay in reporting malaria cases by type of county. In terms of case investigation, 97.5 % cases were investigated within 3 days with the proportion of delays (1.5 %) in type 2 counties, being significantly lower than type 1 counties (4.1 %). Regarding active foci, 96.4 % were treated by RACD and/or IRS.
The performance of 1-3-7 strategy was encouraging but identified some challenges that if addressed can further improve implementation.
Keywords1-3-7 strategy Malaria elimination Surveillance and response
Please see Additional file 1 for translations of the abstract into the six official working languages of the United Nations.
Malaria elimination depends on surveillance systems that can rapidly and efficiently detect, treat and respond to individual cases in the population. Success in doing so will determine whether or not malaria elimination can be achieved and sustained. The most widely adopted approach to surveillance and response is a strategy termed reactive case detection (RACD), whereby household members, neighbor’s, and other contacts of passively detected malaria cases are screened for infection and are treated with effective antimalarial drugs [1–3]. Thirteen of 14 countries in the Asia Pacific region and several countries in Africa [4–7] including Swaziland, South Africa, Zambia, Namibia and Senegal, and countries in the malaria elimination phase employ some form of RACD.
China launched malaria elimination program in 2010 with the goal of achieving country-wide elimination by 2020. The elimination goal was formulated in accordance with a four-catalogue classification of transmission settings and on the basis of malaria transmission risk and incidence at county level. Counties were categorized into three types. Type 1 having local transmission and incidence ≥1/10,000 in the past 3 years, Type 2 having local transmission and incidence <1/10,000 in the past 3 years, Type 3 no indigenous cases reported in the past years but still with risk of transmission, and Type 4 which are malaria free . The total number of malaria cases including indigenous and imported cases in the country has reduced dramatically from over 26,000 in 2008 to 2,716 in 2012. Of the latter, only 243 cases (accounting for 8.9 %) were designated as being indigenously acquired . This significant reduction of indigenous malaria incidence has been attributed to the program using an adapted form of RACD in surveillance and response. This adapted form is called the “1-3-7” strategy and has time-bound targets for case reporting, investigation, and foci response activities. The “1-3-7” refers respectively to reporting of malaria cases within one day, their confirmation and investigation within 3 days, and the appropriate public health response to prevent further transmission within 7 days.
Before 2010 and in accordance with the national law, as a notifiable disease (Category B), all malaria cases including clinical and laboratory confirmed cases must be registered and reported by health facilities. This is done through the Chinese Information System for Disease Control and Prevention (CISDCP), an internet-based reporting system. With the launch of the NMEP, the Information Management System Specific to Malaria Elimination (IMSME) and a cellphone-based SMS alert system were incorporated with CISDCP, all information including the laboratory test and classification based on the epidemiological individual survey were required to be reported in the system in a timely manner. Once a malaria case is reported to the system, CDC’s staffs at the county level were deployed to carry out an individual investigation in the field to identify the source of infection and whether this was an indigenous or imported case. For this, a blood smear is taken from the case and sent to the national CDC and the provincial CDCs for microscopic verification. A blood-spot filter paper sample is also delivered to the reference laboratories in provincial CDCs and national CDC for molecular verification using polymerase chain reaction (PCR).
Case classification is based on guidelines of the World Health Organization (WHO)  and includes an indigenous case, imported case and unknown. An indigenous case is defined as a case contracted indigenously (i.e. within national boundaries) while an imported case is one where the origin can be traced to a known malaria endemic area outside the national borders to where the case has travelled within one month. This information is elicited on the basis of the travel history of the patient. When information is not available on the origin of the case, it is classified as “unknown”. The results have to be entered into the IMSME. The details of this system have been described in a previous publication .
The 1-3-7 strategy designed to guide malaria surveillance and response in China
Guidance in surveillance and response
Case reporting within 1 day
Any confirmed and suspected malaria cases by law must be reported to the Chinese Center for Disease Control and Prevention (CDC) through the web-based health information system within 24 h of diagnosis by the local health-care provider.
Case investigation within 3 days
All malaria cases should be confirmed and visited by CDC’s staff at the county-level China Center for Disease Control (CDC), where the case is reported within three days, to determine where the case originated (indigenous or imported).
Focus investigation and action within 7 days
The focus investigation should be conducted as soon as possible. If local transmission* is possible or confirmed, targeted action to seek out other infections and reduce the chance of onward transmission is completed within seven days by the China CDC’s staff of the county where the patient resides and/or works. The scope of investigation is the case house and neighboring households.
*: Only these are considered active foci.
This strategy was developed by the national malaria elimination program since 2010 when the program launched. It was extensively rolled out nationally in early 2012.
Implementation of the 1-3-7 strategy may be facing operational challenges in various counties in different geographic zones across China. For example, there might be delays in laboratory confirmation and household investigation of cases and their household members due to short-comings in the web-based health information system, e.g. breakdown of cellphones or network coverage problems. Other possible reasons for delays may include late field visits by CDC’s staff at the county level caused by logistic hurdles. There may also be differences in compliance between counties due to variations in geographic access or due to the catalogue of county with different transmission status.
Assessing the level of compliance to the 1-3-7 strategy at the county level is the first step towards determining whether the surveillance and response strategy is happening according to plan. An earlier study  provided an overview of the overall performance of the 1-3-7 strategy in China following the first year of implementation. There was however no systematic assessment of whether there were variations in implementation between different counties classified as Type 1 to 4 on the basis of malaria transmission risk and incidence. Moreover, the previous study could not fully present the performance because of incompletion of data as the early development of the strategy and the reporting system. For example, the proportion of foci response within 7 days was only about 50 % which deflected the real situation. Continued country-wide assessments are needed to verify if the time-bound targets of the 1-3-7 are being sustained over time. Such information would be useful to improve implementation of the 1-3-7 strategy in China.
We therefore conducted a country-wide study to determine whether China’s 1-3-7 malaria surveillance strategy was being implemented according to the planned schedule of reporting, case investigation and focus response and if there were any differences between types of counties.
A cross-sectional study involving country-wide programmatic data extracted from the national malaria information system in China was performed.
China has a population of 1.37 billion, which is distributed unevenly, with more in the east (>300 persons per square kilometer) and fewer in the west (about 40 persons per square kilometer). The average population density is 119 per square kilometer, with an average household size of 3.7 persons. There are 2,858 counties in mainland China, which are grouped into 31 administrative areas (including provinces, municipalities and autonomous regions).
Local study setting
Yunnan Province is located in the Greater Mekong Sub-region, sharing the long border with Myanmar, Lao PDR and Viet Nam which have a high malaria burden. The number of malaria cases reported in Yunnan contributed to most cases reported in China. Because of the high risk of malaria transmission and developing traffic network, the performances of malaria elimination as well as the implementation of 1-3-7 strategy in Yunnan are considered to be important. Therefore, Yunnan Province was selected as a study site to evaluate the performance of the 1-3-7 strategy in the local settings, in addition to the country-wide study.
Implementations of NMEP in different types of counties
According to the National Malaria Elimination Action Plan 2010–2020 , different strategic priorities are implemented in different types of counties. The Type 1 counties should strengthen case management and vector control measures to reduce the incidence of malaria. The Type 2 countries should eliminate the infectious source of malaria to interrupt local malaria transmission. The Type 3 counties should enhance the monitoring and surveillance on the imported cases to prevent the secondary transmission. The Type 4 counties should sensitively detect and promptly respond to the imported cases.
Data extraction and validation
All patients diagnosed as malaria cases from 1 January 2013 to 30 June 2014 were included in the study. Data variables were extracted from the NMIS, which is accessible at county, provincial and central levels. Data variables included basic socio-demographic information about patients, type of county, date of diagnosis, date of reporting, date of case investigation, case classification including indigenous, imported and unknown cases, focus investigation, date of RACD, date of IRS.
Data on source of infection including indigenous, imported or unknown cases is entered in the NMIS by staff in the national CDC while PCR data is entered at province level.
Summary statistics and proportions were used and comparisons were made between different types of counties using chi-square test. Level of significance was set at P-value ≤ 0.05.
The causes of differences in different types of counties were analyzed using Yunnan provincial data, while the chi-square test was used to assess statistically differences between groups.
Ethics approval was received from the National Institute of Parasitic Diseases, China Center for Disease Control and Prevention, and the local Centers for Disease Control and Prevention. Approval was also received from the Ethics Advisory Group of the International Union against Tuberculosis and Lung Disease, Paris, France.
Malaria cases reported in China stratified by type of county
The numbers of various malaria cases in different typesa of county in China, January 2013-June 2014
Type of countya
Indigenousb No (%)
Importedc No (%)
Unknown No (%)
Case reporting within one day
All cases were reported within 1 day of diagnosis irrespective of the type of county.
Case investigation within three days
The number of malaria cases investigated in different types of county in China, January 2013-June 2014
Type of county
Days of delay (Median)
Foci response within seven days
The number of focus investigation and response in different types of county in China, January 2013-June 2014
Type of county
The postponement of case investigation in Yunnan local settings
The postponement of case investigation in different types of county in Yunnan Province, January 2013-June 2014
Type of county
Days of delay (Median)
It is the first time to assess the country-wide performance of the 1-3-7 strategy for malaria elimination in China which shows encouraging results. All malaria cases were reported within the first 24 h, 98 % of case investigations were done within 3 days, 96 % of foci investigations were done in 7 days, and 96 % of active foci of indigenous cases were offered treatment/RACD and IRS according to the planned schedule. There were no significant differences between Type 1, 2 and 3 counties in terms of case investigation as well as foci investigation and response. Moreover, even in the rural areas with highly risk areas for malaria transmission, such as Yunnan Province, the similar performance as the whole country was observed.
Findings from this study showed that the ambitious time-bound targets for reporting, case investigation and foci response can be achieved in a large and diverse country like China. This provides promising hope towards achievement of the goal of malaria elimination by 2020 and adds political impetus to other countries in Asia and Africa regions that are either considering or have already adopted similar approaches to malaria elimination [4–7]. Especially this 1-3-7 strategy is able to be applied in GMS countries where has similar malaria transmission risk and nature environment as that of Yunnan Province.
In fact, 1-3-7 strategy could not to be adapted directly to the different local settings totally [13–19]. For example, it would be not possible to report all malaria cases within 24 h if without the reliable web-based information system for disease control and prevention available in China, thanks to the wide cellphone provider network and cellphone-based SMS alert system that promptly informs the local CDC at the county level. While in countries where this network is less reliable or inexistent the time frame of 24 h used for reporting cases may need adjustment [20–26]. For example, if health facilities do not have a phone or VHF radio then the time needed for information transfer, may be increased.
An operational consideration is the presence of two parallel case reporting systems related to malaria in China, including NIDRIS and IMSME. The NIDRIS covers all hospitals and CDCs at various levels and is responsible for all notifiable infectious diseases including basic information on malaria. On the other hand, the IMSME is specific to malaria elimination which including records of all elimination performance activities. IMSME was recently developed for CDCs to verify and confirm reports from the NIDRIS as a complement component. Obviously, suspected and clinical malaria cases are also reported by hospitals covered by the NIDRIS. This constitutes duplicate work as both systems are currently being cross-checked and validated by county CDC staff. It thus adds to unnecessary and time-consuming workload in some areas. There is a need to rationalize this reporting, while at the same time ensuring validity.
Case investigation, including case classification within 3 days, is a vital step in the 1-3-7 strategy and it is especially important to determinate the infectious sources which provides information for further investigation and intervention. Although we achieved the 3-day target in 98 % of cases, understandably this step is most prone to logistic or other difficulties. Rural areas risk facing delays as the various activities [27–33]; sample collection (blood smears and filter paper); their expedition by hospital staff to local CDC’s staff; and PCR confirmatory testing at centralized laboratories followed by household investigation may need more than 3 days. The need for additional transport and other resources may need to be considered and merits investigation.
Ideally, case investigation at the household level should be conducted by local CDCs’ staffs, but this was also done by busy hospital doctors in some provinces. This may have contributed influenced quality of data. According to the results in Table 5, better coordination between CDC and hospitals is needed to ensure a concerted response which should primarily fall under the mandate of the CDC.
Although we achieved a 96 % success in terms of foci response for indigenous cases within 7 days, one of the challenges we noted was the difficulty in consolidating data on focus investigation and response for the imported cases. This can be attributed to the lack of clear implementation guidelines for county staff on whether or not focus investigation should be conducted on the basis of local entomological and ecological factors that favor transmission. In light of the aforementioned findings, we have preferred not to include this data in our analysis. As the numbers of imported P. vivax cases in China are few [16, 34], this short-coming is unlikely to have significant public health impact, it merits focused attention. Operational guidelines are needed to improve guidance on implementation of focus investigation and response [33, 35–37].
The main strength of this study is the inclusion of country-wide data collected under operational conditions and stratified by types of county. Meanwhile, Yunnan Province was exemplified as a case-study because of its special situation and top priority in the NMEP: Many factors would be challenges in the performance of the 1-3-7 strategy, such as indigenous cases, falciparum malaria transmission, borderlines, migrants, minorities and poor transportation. Whether the implementation is feasible in Yunnan Province would be crucial to evaluate the full performance of the strategy in the whole country. The findings are thus likely to reflect the real situation in both particular settings and the context of the whole country.
Study limitations are that we did not know the exact reasons for delays both in case investigation and foci response. Although these were relatively minimal, they still merit specific investigation and correction. Furthermore, we classified 55 cases as being indigenous ones based solely on travel history. This may lead to some degree of misclassification particularly of P. vivax cases which might be due to relapsed or recrudescent cases. Genotyping that can distinguish the geographical origin of infections may improve any classification errors.
In conclusion, the 1-3-7 strategy for malaria elimination being implemented in the NMEP of China is well performed as expected in spite of some challenges in local settings. This is an “eye opener” and may imply that similar standardized and time-bound strategies maybe used to implement and monitor other disease elimination programs at the global level.
Open access statement
In accordance with WHO’s open-access publication policy for all work funded by WHO or authored/co-authored by WHO staff members, the WHO retains the copyright of this publication through a Creative Commons Attribution IGO licence (http://creativecommons.org/licenses/by/3.0/igo/legalcode) which permits unrestricted use, distribution and reproduction in any medium provided the original work is properly cited.
This research was conducted through the Structured Operational Research and Training Initiative (SORT IT), a global partnership led by the Special Programme for Research and Training in Tropical Diseases at the World Health Organization (WHO/TDR). The model is based on a course developed jointly by the International Union Against Tuberculosis and Lung Disease (The Union) and Medécins sans Frontières (MSF). The specific SORT IT programme which resulted in this publication was jointly developed and implemented by: The Centre for Operational Research, The Union, Paris, France; The Operational Research Unit (LUXOR), Medécins Sans Frontières, Brussels Operational Center, Luxembourg; The Union, South-East Asia Regional Office, New Delhi, India; and The Centre for International Health, University of Bergen, Norway.
The programme was supported and funded by Asia Pacific Malaria Elimination Network (APMEN, Grant 108-06), Bloomberg Philanthropies, The Union, MSF, the Department for International Development (DFID), UK and the World Health Organization. La Fondation Veuve Emile Metz-Tesch supported open access publications costs. The funders except for APMEN had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. APMEN support the data collection and data analysis.
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- Sturrock HJ, Novotny JM, Kunene S, Dlamini S, Zulu Z, Cohen JM, et al. Reactive case detection for malaria elimination: real-life experience from an ongoing program in Swaziland. PLoS One. 2013;8(5):e63830.View ArticlePubMedPubMed CentralGoogle Scholar
- Cotter C, Sturrock HJ, Hsiang MS, Liu J, Phillips AA, Hwang J, et al. The changing epidemiology of malaria elimination: new strategies for new challenges. Lancet. 2013;382(9895):900–11.View ArticlePubMedGoogle Scholar
- Moonen B, Cohen JM, Snow RW, Slutsker L, Drakeley C, Smith DL, et al. Operational strategies to achieve and maintain malaria elimination. Lancet. 2010;376(9752):1592–603.View ArticlePubMedPubMed CentralGoogle Scholar
- Smith Gueye C, Sanders KC, Galappaththy GN, Rundi C, Tobgay T, Sovannaroth S, et al. Active case detection for malaria elimination: a survey among Asia Pacific countries. Malar J. 2013;12:358.View ArticlePubMedPubMed CentralGoogle Scholar
- Khosa E, Kuonza LR, Kruger P, Maimela E. Towards the elimination of malaria in South Africa: a review of surveillance data in Mutale Municipality, Limpopo Province, 2005 to 2010. Malar J. 2013;12:7.View ArticlePubMedPubMed CentralGoogle Scholar
- Stresman GH, Kamanga A, Moono P, Hamapumbu H, Mharakurwa S, Kobayashi T, et al. A method of active case detection to target reservoirs of asymptomatic malaria and gametocyte carriers in a rural area in Southern Province, Zambia. Malar J. 2010;9:265.PubMedPubMed CentralGoogle Scholar
- Littrell M, Sow GD, Ngom A, Ba M, Mboup BM, Dieye Y, et al. Case investigation and reactive case detection for malaria elimination in northern Senegal. Malar J. 2013;12:331.View ArticlePubMedPubMed CentralGoogle Scholar
- China Minstery of Health. Action plan of China malaria elimination (2010-2020). 2010.
- China Ministery of Health. Annual reports of Schistosomiasis, Malaria and Echinococcosis 2012. 2012th ed. Beijing: China MoHtPsRo; 2013.
- WHO. Disease surveillance for malaria elimination. Geneva: World Health Organization; 2012.Google Scholar
- Cao J, Sturrock HJ, Cotter C, Zhou S, Zhou H, Liu Y, et al. Communicating and monitoring surveillance and response activities for malaria elimination: China’s “1-3-7” strategy. PLoS Med. 2014;11(5):e1001642.View ArticlePubMedPubMed CentralGoogle Scholar
- Zhou Z. J. Study of malaria control and prevention in China. Beijing: People’s Hygine Publishing House; 1991.Google Scholar
- Kramer R, Xiao N, Zhou XN. Preface. Malaria control and elimination programme in the People’s Republic of China. Adv Parasitol. 2014;86:xvii–xxi.View ArticlePubMedGoogle Scholar
- Liu J, Yang B, Cheung WK, Yang G. Malaria transmission modelling: a network perspective. Infectious diseases of poverty. 2012;1(1):11.View ArticlePubMedPubMed CentralGoogle Scholar
- Feng J, Xia ZG, Vong S, Yang WZ, Zhou SS, Xiao N. Preparedness for malaria resurgence in China: case study on imported cases in 2000-2012. Adv Parasitol. 2014;86:231–65.View ArticlePubMedGoogle Scholar
- Feng J, Xiao H, Xia Z, Zhang L, Xiao N. Analysis of malaria epidemiological characteristics in the People’s Republic of China, 2004-2013. AmJTrop Med Hyg. 2015;93(2):293–9.View ArticleGoogle Scholar
- Feng XY, Xia ZG, Vong S, Yang WZ, Zhou SS. Surveillance and response to drive the national malaria elimination program. Adv Parasitol. 2014;86:81–108.View ArticlePubMedGoogle Scholar
- Qian YJ, Zhang L, Xia ZG, Vong S, Yang WZ, Wang DQ, et al. Preparation for malaria resurgence in China: approach in risk assessment and rapid response. Adv Parasitol. 2014;86:267–88.View ArticlePubMedGoogle Scholar
- Salam RA, Das JK, Lassi ZS, Bhutta ZA. Impact of community-based interventions for the prevention and control of malaria on intervention coverage and health outcomes for the prevention and control of malaria. Infect Dis Poverty. 2014;3:25.View ArticlePubMedPubMed CentralGoogle Scholar
- Tambo E, Adedeji AA, Huang F, Chen JH, Zhou SS, Tang LH. Scaling up impact of malaria control programmes: a tale of events in Sub-Saharan Africa and People’s Republic of China. Infect Dis Poverty. 2012;1(1):7.View ArticlePubMedPubMed CentralGoogle Scholar
- Tambo E, Ai L, Zhou X, Chen JH, Hu W, Bergquist R, et al. Surveillance-response systems: the key to elimination of tropical diseases. Infect Dis Poverty. 2014;3:17.View ArticlePubMedPubMed CentralGoogle Scholar
- Tambo E, Ugwu EC, Ngogang JY. Need of surveillance response systems to combat Ebola outbreaks and other emerging infectious diseases in African countries. Infect Dis Poverty. 2014;3:29.View ArticlePubMedPubMed CentralGoogle Scholar
- Wang WM, Cao J, Zhou HY, Liu YB, Zhu GD, Cao YY, et al. [Surveillance of malaria in provincial surveillance sites in Jiangsu Province, 2013]. Zhongguo xue xi chong bing fang zhi za zhi. 2014;26(4):382–6.Google Scholar
- Wang WM, Zhou HY, Liu YB, Li JL, Cao YY, Cao J. [Establishment of malaria early warning system in Jiangsu Province II application of digital earth system in malaria epidemic management and surveillance]. Zhongguo xue xi chong bing fang zhi za zhi. 2013;25(2):172–6.PubMedGoogle Scholar
- Xia ZG, Wang RB, Wang DQ, Feng J, Zheng Q, Deng CS, et al. China-Africa cooperation initiatives in malaria control and elimination. Adv Parasitol. 2014;86:319–37.View ArticlePubMedGoogle Scholar
- Xia ZG, Zhang L, Feng J, Li M, Feng XY, Tang LH, et al. Lessons from malaria control to elimination: case study in Hainan and Yunnan provinces. Adv Parasitol. 2014;86:47–79.View ArticlePubMedGoogle Scholar
- Xu J, Liu H. The challenges of malaria elimination in Yunnan Province, People’s Republic of China. Southeast Asian J Trop Med Public Health. 2012;43(4):819–24.PubMedGoogle Scholar
- Yang FZ, Yap P, Zhang SY, Xie HG, Ouyang R, Lin YY, et al. Surveillance and response strategy in the malaria post-elimination stage: case study of Fujian province. Adv Parasitol. 2014;86:183–203.View ArticlePubMedGoogle Scholar
- Yin JH, Yang MN, Zhou SS, Wang Y, Feng J, Xia ZG. Changing malaria transmission and implications in China towards National Malaria Elimination Programme between 2010 and 2012. PLoS One. 2013;8(9):e74228.View ArticlePubMedPubMed CentralGoogle Scholar
- Yin JH, Zhou SS, Xia ZG, Wang RB, Qian YJ, Yang WZ, et al. Historical patterns of malaria transmission in China. Adv Parasitol. 2014;86:1–19.View ArticlePubMedGoogle Scholar
- Zhang HW, Liu Y, Zhang SS, Xu BL, Li WD, Tang JH, et al. Preparation of malaria resurgence in China: case study of vivax malaria re-emergence and outbreak in Huang-Huai Plain in 2006. Adv Parasitol. 2014;86:205–30.View ArticlePubMedGoogle Scholar
- Zhou XN, Xia ZG, Wang RB, Qian YJ, Zhou SS, Utzinger J, et al. Feasibility and roadmap analysis for malaria elimination in China. Adv Parasitol. 2014;86:21–46.View ArticlePubMedGoogle Scholar
- Zofou D, Nyasa RB, Nsagha DS, Ntie-Kang F, Meriki HD, Assob JC, et al. Control of malaria and other vector-borne protozoan diseases in the tropics: enduring challenges despite considerable progress and achievements. Infect Dis Poverty. 2014;3(1):1.View ArticlePubMedPubMed CentralGoogle Scholar
- Zhang L, Feng J, Xia ZG. [Malaria situation in the People’s Republic of China in 2013]. Zhongguo ji sheng chong xue yu ji sheng chong bing za zhi. 2014;32(6):407–13.PubMedGoogle Scholar
- Chen SB, Ju C, Chen JH, Zheng B, Huang F, Xiao N, et al. Operational research needs toward malaria elimination in China. Adv Parasitol. 2014;86:109–33.View ArticlePubMedGoogle Scholar
- Cheng Z, Wang D, Tian X, Sun Y, Sun X, Xiao N, et al. Capture and Ligation Probe-PCR (CLIP-PCR) for Molecular Screening, with Application to Active Malaria Surveillance for Elimination. Clin Chem. 2015;61(6):821–8.View ArticlePubMedGoogle Scholar
- Dapeng L, Leyuan S, Xili L, Xiance Y. A successful control programme for falciparum malaria in Xinyang, China. Trans R Soc Trop Med Hyg. 1996;90(2):100–2.View ArticlePubMedGoogle Scholar