Malaria had previously been one of the most serious infectious diseases in China. Fortunately, China is close to achieving malaria elimination nationwide with country-led and country-owned efforts, such as the strong case-based surveillance and response systems, especially after inauguration of the National Malaria Elimination Action Plan 2010–2020 of China. No indigenous malaria cases have been reported since 2017, although there were still more than 2,500 imported cases annually including over 100 patients with severe symptoms and approximately 10 deaths in 2017 and 2018, respectively (1-2). The prompt and reliable detection of parasites and diagnosis of malaria cases is an essential component in national malaria elimination programs as it not only assures that all patients receive appropriate treatments but also greatly improves the reliability of surveillance to the point of stopping malaria transmission. Even after elimination, it is still crucial to prevent malaria reintroduction (malaria reintroduction refers to the occurrence of introduced cases: cases of the first-generation local transmission that are epidemiologically linked to a confirmed imported case in a country or area where the disease had previously been eliminated) (3-4) and consolidate the accomplishment.
Prompt parasitological diagnosis by microscopy or a rapid diagnostic test is recommended by the World Health Organization for all patients suspected of having malaria based on a defined set of clinical criteria before therapy is initiated (4). To ensure the quality of malaria diagnosis, a reliable National Malaria Diagnosis Reference Laboratory Network (NMDRLN) has been established in China composed of 1 national and 24 historically-malaria-endemic provincial laboratories (5). The function of the network is for case verification and also for capacity building and maintenance. Species belonging to Plasmodium in all reported cases must be validated using microscopy and PCR in network laboratories. Malaria microscopists from both the national and provincial levels performed quite well in Plasmodium spp. speciation but not those from the below provincial levels, according to a series of external competency assessments and national technique competitions on malaria microscopy (6). Currently, all health facilities have potential access to testing and can become the first line of defense against imported malaria, but limited data were found about their performance in the process of malaria diagnosis in routine work.
Individual malaria case data in 2017 and 2018 were extracted from the Parasitic Diseases Information Reporting Management System (PDIRMS) of China CDC and included the date of onset, the date of the first diagnosis, the date of confirmed diagnosis, the results of the first diagnosis and confirmed diagnosis and verification, the facility for case diagnosis and reporting, the geographical distribution and Plasmodium species composition. This study aims to analyze the performance of different health facilities [medical institution, centers for disease control and prevention (CDC), Entry-Exit Inspection and Quarantine (EIQ)] and their malaria diagnostic competency at different levels, the intervals from onset to the first and confirmed diagnosis, as well as the agreement rate of species identification between the confirmed diagnosis and NMDRLN verifications. All extracted data were processed with Microsoft Excel 2007 and SPSS (version 21.0, IBM Corp. USA). Then, the differences from groups were evaluated by Pearson chi-square tests. Statistical significance was set as 0.05.
A total of 5,539 imported malaria cases were reported between 2017 and 2018. They were first diagnosed by clinicians in individual clinics (238, 4.3%), village clinics (242, 4.4%), township health centers (526, 9.5%), county medical institutions (1,451, 26.2%), county CDCs (502, 9.1%), prefectural medical institutions (1,731, 31.3%), prefectural CDCs (49, 0.9%), provincial medical institutions (630, 11.4%), provincial CDCs (11, 0.2%), prefectural EIQs (39, 0.7%), provincial EIQs (28, 0.5%), and unspecified facilities (92, 1.7%). Correspondingly, there were 1 (0.0%), 2 (0.0%), 339 (6.1%), 1,258 (22.7%), 623 (11.2%), 2,219 (40.1%), 94 (1.7%), 867 (15.7%), 41 (0.7%), 37 (0.7%), 26 (0.5%), and 32 (0.6%) cases confirmed in the above health facilities, respectively (Table 1). In addition, the detailed distributions in each province/municipality/autonomous region yearly are shown in Figure 1.
Item First diagnosis Confirmed diagnosis 2017 2018 Total 2017 2018 Total Individual clinics 114 124 238 1 0 1 Village clinics 119 123 242 1 1 2 Township Health Center 319 207 526 213 126 339 County medical institutions 745 706 1,451 667 591 1,258 County CDCs 278 224 502 339 284 623 Prefectural medical institutions 863 868 1,731 1,100 1,119 2,219 Prefectural CDCs 35 14 49 58 36 94 Provincial medical institutions 298 332 630 396 471 867 Provincial CDCs 7 4 11 25 16 41 Prefectural EIQs 22 17 39 25 12 37 Provincial EIQs 14 14 28 14 12 26 Unspecified 47 45 92 22 10 32 Total 2,861 2,678 5,539 2,861 2,678 5,539 Abbreviations: EIQ=Entry-Exit Inspection and Quarantine, CDC=centers for disease control and prevention.
Table 1. Malaria cases diagnosed first and confirmed in various health facilities nationwide according to the Parasitic Diseases Information Reporting Management System of China (2017–2018).
Figure 1. Malaria cases diagnosed first and confirmed in various health facilities in each provincial-level administrative division (PLAD) according to the Parasitic Diseases Information Reporting Management System of China (2017–2018). (A) Malaria cases diagnosed first in 2017; (B) Malaria cases diagnosed first in 2018; (C) Malaria cases confirmed in 2017; (D) Malaria cases confirmed in 2018.
The median interval (the subtraction of the latter date from the former date) from onset to the first diagnosis was 1 day (maximum: 186 days) between 2017 and 2018 nationwide and 1 day (maximum: 112 days) from the first diagnosis to confirmed diagnosis. However, 46.9% (2,596/5,539) of cases were first diagnosed 2 days after onset, and 33.3% (1,844/5,539) of cases were confirmed more than 2 days after the first diagnosis. The median intervals from onset to the first diagnosis in the health facilities at township and below, county, prefectural, provincial and other unspecified levels were 1 day (maximum: 47 days), 1 day (maximum: 90 days), 2 days (maximum: 186 days), 1 day (maximum: 89 days), and 1 day (maximum: 25 days), respectively. The corresponding intervals from the first diagnosis to confirmed diagnosis were 0 days (maximum: 11 days), 1 day (maximum: 65 days), 1 day (maximum: 71 days), 1 day (maximum: 112 days) and 1 day (maximum: 57 days), respectively. The proportion of cases receiving the first diagnosis and confirmed diagnosis at different intervals is shown in Figure 2.
Figure 2. Time interval from onset to the first diagnosis (A) and then to confirmed diagnosis (B) between 2017 and 2018 according to the Parasitic Diseases Information Reporting Management System of China.
All the reported cases (except 9 cases in 2017 and 5 cases in 2018 which were initially clinically diagnosed) were verified by the provincial labs, but only 76.1% (2,169/2,852) in 2017 and 73.7% (1,971/2,673) in 2018 were diagnosed as malaria on the first visit. In addition, 89.4% (4,942/5,525) of the verified cases were consistent with their original confirmation results. Agreements of 95.9% (328/342), 91.0% (1,711/1,881), 88.9% (2,088/2,350), 85.3% (797/934), and 87.5% (28/32) were found (χ2=37.3, p<0.001) in health facilities at township and below, county, prefectural, provincial, and other unspecified levels, respectively. In addition, 5.0% (180/3,587) of P. falciparum, 7.2% (70/970) of P. vivax, 24.7% (37/150) of P. malariae, 31.9% (232/728) of P. ovale, 75.3% (67/89) of the mixed and 100% (1/1) of P. knowlesi infections were inconsistent with their originally confirmed diagnosis (χ2=908.0, p<0.001).
|Item||First diagnosis||Confirmed diagnosis|
|Township Health Center||319||207||526||213||126||339|
|County medical institutions||745||706||1,451||667||591||1,258|
|Prefectural medical institutions||863||868||1,731||1,100||1,119||2,219|
|Provincial medical institutions||298||332||630||396||471||867|
|Abbreviations: EIQ=Entry-Exit Inspection and Quarantine, CDC=centers for disease control and prevention.|