Open Access

The increasing importance of Plasmodium ovale and Plasmodium malariae in a malaria elimination setting: an observational study of imported cases in Jiangsu Province, China, 2011–2014

  • Yuanyuan Cao1,
  • Weiming Wang1,
  • Yaobao Liu1,
  • Chris Cotter2,
  • Huayun Zhou1,
  • Guoding Zhu1,
  • Jianxia Tang1,
  • Feng Tang1,
  • Feng Lu1,
  • Sui Xu1,
  • Yaping Gu1,
  • Chao Zhang1,
  • Julin Li1 and
  • Jun Cao1, 3Email author
Contributed equally
Malaria Journal201615:459

DOI: 10.1186/s12936-016-1504-2

Received: 22 June 2016

Accepted: 26 August 2016

Published: 7 September 2016

Abstract

Background

Following initiation of China’s National Malaria Elimination Action Plan in 2010, indigenous malaria infections in Jiangsu Province decreased significantly. Meanwhile imported Plasmodium infections have increased substantially, particularly Plasmodium ovale and Plasmodium malariae. Given the risk for malaria resurgence, there is an urgent need to understand the increase in imported P. ovale and P. malariae infections as China works to achieve national malaria elimination.

Methods

An observational study of imported malaria cases in Jiangsu Province, China was carried out for the period of 2011–2014.

Results

A total of 1268 malaria cases were reported in Jiangsu Province from 2011 to 2014. Although imported Plasmodium falciparum cases (n = 1058) accounted for 83.4 % of all reported cases in Jiangsu, P. ovale cases (14, 19, 30, and 46) and their proportion (3.7, 9.6, 8.8, and 13.0 %) of all malaria cases increased over the 4 years. Similarly, P. malariae cases (seven, two, nine, and 10) and proportion (1.9, 1.0, 2.6, and 2.8 %) of all malaria cases increased slightly during this time. A total of 98 cases of Plasmodium ovale curtisi (47/98, 48 %) and Plasmodium ovale wallikeri (51/98, 52 %) were identified as well. Latency periods were significant among these Plasmodium infections (p = 0.00). Also, this study found that the latency periods of P. ovale sp., P. malariae and Plasmodium vivax were significantly longer than P. falciparum. However, for both P. ovale curtisi and P. ovale wallikeri infections, the latency period analysis was not significant (p = 0.81). Misdiagnosis of both P. ovale and P. malariae was greater than 71.5 and 71.4 %, respectively. The P. ovale cases were misdiagnosed as P. falciparum (35 cases, 32.1 %), P. vivax (43 cases, 39.4 %) by lower levels of CDCs or hospitals. And, the P. malariae cases were misdiagnosed as P. falciparum (ten cases, 35.7 %), P. vivax (nine cases, 32.1 %) and P. ovale sp. (one case, 3.6 %). Geographic distribution of imported P. ovale sp. and P. malariae cases in Jiangsu Province mainly originated from sub-Saharan Africa such as Equatorial Guinea, Nigeria, and Angola.

Conclusions

Although the vast majority of imported malaria cases were due to P. falciparum, the increase in other rare Plasmodium species originating from sub-Saharan Africa and Southeast Asia should be closely monitored at all levels of health providers focusing on diagnosis and treatment of malaria. In addition to a receptive vector environment, long latency periods and misdiagnosis of P. malariae and P. ovale sp. increase the risk of re-introduction of malaria in China.

Keywords

Plasmodium ovale Plasmodium malariae Importation Misdiagnosis Latency period GIS Malaria elimination

Background

Malaria is one of the most important public health problems worldwide. Globally, an estimated 3.3 billion people in 97 countries and territories are at risk of malaria. An estimated 214 million malaria cases occurred globally in 2015 and led to 438,000 deaths [1]. Malaria was once a major challenge in China, however after large-scale implementation of interventions such as mass drug administration [2], indoor residual spraying and long-lasting insecticide nets, China has effectively controlled malaria and reduced local malaria to 56 cases in 2014 [3].

After China began implementing the national malaria elimination action plan (NMEAP) [4] in 2010, the ‘1-3-7’ approach, which defined targets to guide and monitor case reporting, investigation and response, respectively, was carried out and local malaria infections across the country and in Jiangsu Province decreased significantly [5]. However, imported Plasmodium falciparum malaria cases, mostly from overseas migrant workers posed a challenge [6].

For Plasmodium ovale sp. and Plasmodium malariae, only sporadic malaria cases have been reported in China [711]. Historically, these two species of Plasmodium are rare in China. Since 1960, there have been no reported local P. malariae cases in Jiangsu Province. Given their rarity, local centres for disease control and prevention (CDC) and hospital microscopy examiners commonly misdiagnose P. ovale and P. malariae as Plasmodium vivax and P. falciparum, respectively [12, 13]. Due to the similarity in the parasite density and life cycle forms of ovale malaria and vivax malaria, P. ovale sp. is easily and frequently misdiagnosed as P. vivax [14, 15]. If misdiagnosed as P. falciparum, P. ovale sp. malaria cases could relapse because drug treatments between the two species differ. Furthermore, treatment based on an incorrect diagnosis of Plasmodium species leads to misuse of anti-malarial drugs as well as drug wastage.

With the substantially increasing number of imported P. ovale and P. malariae cases, it is necessary to understand the difference between these species. At present, there are few epidemiological studies focused on imported P. ovale and P. malariae cases in China. In this work, by collecting and analysing data from the diseases surveillance information system for the period 2011–2014, this study describes P. ovale sp. and P. malariae prevalence trends, population characteristics, latency periods, and geographic distribution patterns to provide a basis for the prevention and control of imported P. ovale sp. and P. malariae malaria in Jiangsu Province.

Methods

Study site

Jiangsu Province, located in the southeast of China (Fig. 1a) has sub-tropical and warm temperate zones and an annual average temperature of 14.7 °C (range of 3.0–25.9 °C) [16]. Annual rainfall in Jiangsu is 1000.4 mm, mainly concentrated from June to September (malaria transmission season). The climate and environment is suitable for the breeding of Anopheles, including Anopheles sinensis and Anopheles anthropophagus [17, 18].
Fig. 1

Geographic distribution of imported malaria cases in Jiangsu Province. a Location of Jiangsu, China; b P. ovale sp.; c P. malariae

Data extraction

China’s routine diseases surveillance information system (CRDSIS) maintains an electronic database of malaria cases; it was established by China Centres for Disease Control and Prevention (China CDC) in 2004. Data on all Plasmodium species in Jiangsu Province from 2011 to 2014 were downloaded from the CRDSIS database. Reporting districts include 13 prefecture CDCs and more than 100 county CDCs across Jiangsu. All malaria cases, including gender, age, occupation, admission dates, symptom onset time, and time of diagnosis were reported from prefectures and county CDCs in Jiangsu. Detailed demographic and clinical data, as well as travel history, were obtained from follow-up case investigation reports.

Species confirmation

Parasite species of all malaria cases were initially identified by examination of Giemsa-stained thick and thin smears under oil immersion at 500–1000× magnification microscopy by microscopists at basic levels of CDCs and hospitals. Through the malaria diagnosis reference laboratory in Jiangsu Institute of Parasitic Diseases (JIPD), species designations of cases were confirmed using PCR. Parasite species were distinguished by PCR amplification, using methods published [19]. Real-time PCR assay for discrimination of Plasmodium ovale curtisi and Plasmodium ovale wallikeri was carried out by real-time PCR assay method [20]. PCR reagents used were from Shanghai Sangon Biotech Corp.

Data analysis

The datasets established included basic characteristics of all cases and input into Excel (Microsoft Office 2007). Characteristics were stratified and analysed by gender, age group and occupation. Categorical variables were carried out by Chi square tests with Fisher’s exact correction when the expected frequency in any cell was five or less. The time elapsing, in days, was calculated for each episode of malaria cases by subtracting arrival dates when patients (migrant workers overseas) arrived back to China from the dates of symptom onset for all malaria cases. Arrival dates were the last possible point in time when parasites could have been introduced by an infectious Anopheles bite. The days elapsing approximated with latency periods. Days elapsing between arrival and symptom onset for all malaria cases were distributed by box-plots. Because latency periods have a non-normal distribution, and one-way ANOVA tests were conducted after rank transformation. Two-tailed t-tests were used and p-values less than 0.05 were considered statistically significant. All statistical analyses were performed in STATA v.12 (Timberlake, College Station, TX, USA) and SPSS v.16.0 (Statistical Product and Service Solutions). Geographic information system (GIS)-based spatial analysis was conducted to identify geographic distribution patterns of malaria cases at high risk at the provincial and national levels. All the spatial analysis was carried out by QGIS (Quantum GIS) v2.10.1.

Results

Epidemiological profiles of Plasmodium ovale and Plasmodium malariae

From 2011 to 2014, a total of 1268 malaria cases were reported in Jiangsu Province. Although imported P. falciparum cases (n = 1058) accounted for 83.4 % of all reported cases, P. ovale sp. cases (14, 19, 30, 46) and proportion (3.7, 9.6, 8.8, 13.0 %) of total malaria cases increased over the 4 years. Similarly, P. malariae cases (7, 2, 9, 10) and proportion (1.9, 1.0, 2.6, and 2.8 %) of total malaria cases increased slightly during this time period. Mixed infection cases include six P. ovale sp. cases co-infected with P. falciparum and two P. malariae cases co-infected with P. falciparum (Table 1).
Table 1

Imported malaria cases in Jiangsu Province, 2011–2014

Year

All cases

P. falciparum

P. vivax

P. ovale sp.

P. malariae

Mixed infection

N (%)

N (%)

N (%)

N (%)

N (%)

2011

374

306 (81.8)

47 (12.6)a

14 (3.7)

7 (1.9)

0 (0)

2012

198

171 (86.4)

6 (3.0)

19 (9.6)

2 (1.0)

0 (0)

2013

341

289 (84.8)

8 (2.3)

30 (8.8)

9 (2.6)

5 (1.5)

2014

355

292 (82.3)

4 (1.1)

46 (13.0)

10 (2.8)

3 (0.8)

Total

1268

1058 (83.4)

65 (5.1)

109 (8.6)

28 (2.2)

8 (0.7)

a Including 13 indigenous vivax malaria in 47

After the NMEAP launched in 2010, only 13 indigenous vivax malaria cases out of 47 total vivax malaria cases were recorded in Jiangsu in 2011. From 2012, local vivax malaria cases in Jiangsu sharply decreased to zero and all P. vivax cases were imported from abroad. In contrast to P. malariae and P. ovale sp., the vivax malaria number and its proportion in all cases decreased during the time period (Table 1).

Demographic characteristics of imported ovale and malariae malaria

Of the 145 ovale and malariae malaria cases which including mixed infection (Table 2), nearly all were male (139/145, 95.9 %). All the cases were ages from 20 to 60 years and in the 41–50 years age group, P. ovale sp. and P. malariae accounted for 58.3 and 56.7 %, respectively. For occupation, most cases occurred in migrant workers [P. ovale (113, 98.3 %); P. malariae (28, 93.4 %)]. Also, there was one foreigner identified as a P. ovale and P. malariae case, respectively.
Table 2

Demographic characteristics of imported Plasmodium malariae and Plasmodium ovale, 2011–2014

Variables

P. ovale sp. (n = 115)

P. malariae (n = 30)

N (%)

N (%)

Gender

 Male

112 (97.4)

27 (90)

 Female

3 (2.6)

3 (10)

Age groups

 ≤20

0 (0)

0 (0)

 21−30

16 (13.9)

6 (20)

 31−40

25 (21.7)

6 (20)

 41−50

67 (58.3)

17 (56.7)

 ≥51

7 (6.1)

1 (3.3)

Occupation

 Migrant workers

113 (98.3)

28 (93.4)

 Students

1 (0.9)

1 (3.3)

 Foreigners

1 (0.9)

1 (3.3)

Latency analysis

The median number of days elapsing (latency periods) between individuals arriving in China and the time of symptom onset of malaria cases were given for all patients. The median and interquartile range of P. ovale latency period was 63.5 days (17–143). The median and interquartile range of P. malariae latency period was 29.5 days (11–55.5). Conversely, the median and interquartile range of P. falciparum and P. vivax latency periods were only 7 days (3–13) and 19 days (8–63.5), respectively. The median and interquartile range of mixed P. ovale latency period was 15.5 days (8–28). Because there were only two P. malariae cases co-infected with P. falciparum and the number of mixed P. malariae cases didn’t satisfy with box-plot (Fig. 2a).
Fig. 2

Latency periods for malaria cases in Jiangsu Province. a All cases; b P. ovale curtisi and P. ovale wallikeri cases. The time elapsing, in days, for each episode of malaria was calculated by subtracting arrival date when patient (migrant worker overseas) returned back to China from onset of symptom date. The midline of each box-plot is the median, with the edges of the box representing the interquartile intervals. Whiskers delineate the 5th and 95th percentiles. The black dots mean the outliers of days elapsing between arrivals in China and onset and these outliers were removed when statistical analysis was conducted. The mixed P. ovale cases were six P. ovale sp. cases co-infected with P. f. Because there were only two P. malariae cases co-infected with P. f and the number of mixed P. malariae cases didn’t satisfy with box-plot

Through rank transformation and ANOVA for the latency periods of all malaria infections, the Bartlett test for equal variances is homogeneous (χ 2  = 2.39, p = 0.66) and found that latency periods were significant among these Plasmodium infections (F = 52.34, p = 0.00). After using the Scheffe multiple comparisons test for latency periods of the four Plasmodium species, it found that the latency periods of P. ovale, P. malariae and P. vivax were significantly longer than P. falciparum (p = 0.000, 0.000 and 0.02), respectively. For latency period analysis of both P. ovale curtisi and P. ovale wallikeri infections, their median and interquartile range of latency periods were 71.5 (23.5–116) and 75 (20–162), respectively (Fig. 2b). However, this study showed the latency periods are not different between P. ovale curtisi and P. ovale wallikeri for latency periods (t = −0.24, p = 0.81).

Misdiagnosis of ovale and malariae malaria cases

Initial malaria diagnosis is carried out by microscopy at the laboratories of the lower level CDCs or hospitals (township or county), and confirmation was done by PCR at the provincial reference laboratory in JIPD. For the real prevalence, we separated the mixed infection cases which listed in Table 1. As shown in Table 3, of the 109 P. ovale malaria cases, only 31 cases had an initial diagnosis that was correct, accounting for 28.4 % of total P. ovale cases. The remaining P. ovale cases were misdiagnosed as P. falciparum (35 cases, 32.1 %), P. vivax (43 cases, 39.4 %) by lower levels of CDCs or hospitals. Similarly, of the 28 P. malariae cases only eight cases were initially diagnosed correctly accounting for 28.6 %. The remaining P. malariae cases were misdiagnosed as P. falciparum (ten cases, 35.7 %), P. vivax (nine cases, 32.1 %) and P. ovale sp. (one case, 3.6 %). The misdiagnosis of both P. ovale sp. and P. malariae was more than 71.5 and 71.4 %, respectively. In total, 1054 cases were initially diagnosed correctly, accounting for 99.6 % of the total P. falciparum cases. Of the 65 vivax malaria cases, 60 were initially diagnosed correctly, accounting for 92.3 %. Significant differences were observed among confirmed diagnosis cases and initially diagnosed cases (χ 2  = 768.9, p = 0.000).
Table 3

Misdiagnosis when all malaria cases diagnosed firstly at lower levels of CDCs and hospitals in Jiangsu

Initial diagnosis

Confirmed diagnosis by PCR

Total

P. ovale sp.

P. malariae

P. falciparum

P. vivax

P. ovale

31

1

0

0

32

P. malariae

0

8

1

0

9

P. falciparum

35

10

1054

5

1104

P. vivax

43

9

3

60

115

Total

109

28

1058

65

1260

Pearson’s χ2 = 768.9 , p = 0.000

Geographic distribution of Plasmodium ovale and Plasmodium malariae reporting

All 13 prefectures of Jiangsu Province reported ovale malaria cases imported from other countries, with the cases concentrated in Changzhou (21 cases, 18.3 %), Yangzhou (15, 13.0 %), Lianyungang (15, 13.0 %), and Nantong (13, 11.3 %) (Fig. 1b). However, ten prefectures reported P. malariae cases imported from other countries and cases were concentrated in Lianyungang (six, 20.0 %) (Fig. 1c).

Geographic distribution of Plasmodium ovale and Plasmodium malariae originating in sub-Saharan Africa

Nearly all ovale malaria cases were from sub-Saharan Africa (112/115, 97.4 %), with the top three countries from where ovale malaria was imported being Equatorial Guinea (41, 35.7 %), Nigeria (27, 23.5 %), and Angola (17, 14.8 %), accounting for 74 % of imported P. ovale sp. cases (Table 4; Fig. 3a). Three P. ovale cases from two Southeast Asian countries (Pakistan and Brunei) were also imported. Nearly all P. malariae cases were imported from sub-Saharan Africa (29/30, 96.7 %) as well, with the top three countries being Equatorial Guinea (9, 30.0 %), Angola (7, 23.3 %), and Nigeria (3, 10 %) accounting for 63.3 % of P. malariae cases (Fig. 3b). There was only one P. malariae case from a Southeast Asian country (Pakistan).
Table 4

Origin of imported P. ovale sp. and P. malariae

Country

P. ovale sp.

P. malariae

Total

N

%

N

%

Angola

17

14.8

7

23.3

24

Brunei

1

0.9

0

0

1

Cameroon

2

1.7

0

0

2

Chad

1

0.9

0

0

1

Cote d’Ivoire

1

0.9

0

0

1

Equatorial Guinea

41

35.7

9

30

50

Gabon

5

4.3

1

3.3

6

Ghana

2

1.7

0

0

2

Kenya

0

0

1

3.3

1

Liberia

1

0.9

3

10

4

Malawi

0

0

1

3.3

1

Mozambique

3

2.6

1

3.3

4

Nigeria

27

23.5

3

10

30

Pakistan

2

1.7

1

3.3

3

Sierra Leone

2

1.7

0

0

2

South Africa

1

0.9

0

0

1

Sudan

1

0.9

0

0

1

Tanzania

0

0

1

3.3

1

The Republic of Congo

6

5.1

2

6.9

8

Uganda

1

0.9

0

0

1

Zambia

1

0.9

0

0

1

Total

115

100

30

100

145

Fig. 3

Geographic distribution of Plasmodium ovale, Plasmodium malariae and sub-species of Plasmodium ovale curtisi and Plasmodium ovale wallikeri cases originating from sub-Saharan Africa, respectively. a P. ovale sp.; b P. malariae; c P. ovale curtisi; d P. ovale wallikeri. Asterisk labels listed for only top 2–3 countries. There were only three P. ovale sp. cases imported from two Southeast Asian countries (Pakistan and Brunei) and only one P. malariae case imported from Pakistan

Totally 115 ovale cases were confirmed, but only 98 cases was identified as curtisi (47/98, 48 %) or wallikeri (51/98, 52 %), other 17 samples are confirmed as P. ovale sp., but not able to be identified.

Origin of Plasmodium ovale curtisi and Plasmodium ovale wallikeri in sub-Saharan Africa

Plasmodium ovale curtisi species was concentrated to Equatorial Guinea (24 cases, 51.0 %), Nigeria (13 cases, 27.7 %), and Angola (3 cases, 8.5 %) (Fig. 3c). However, P. ovale wallikeri was mainly distributed in Angola (14 cases, 27.5 %), Equatorial Guinea (13 cases, 25.5 %), and Nigeria (8 cases, 15.7 %) (Fig. 3d).

Discussion

These results show long latency periods and frequent misdiagnosis by microscopy of malariae and ovale malaria cases and highlight a challenge that all levels of CDCs should focus on for accurate diagnosis and surveillance of rare Plasmodium species imported from sub-Saharan Africa and Southeast Asia. The local malaria situation in China has been effectively controlled, however, as local malaria cases have decreased drastically, imported malaria cases are now the main challenge for China to reach elimination. To address this challenge of misdiagnosing malaria infections, the Chinese Government has held training at different levels, including a national competition for the diagnosis of parasitic diseases [21]. The training and competitions have helped to maintain the microscopy capabilities for accurate detection and diagnosis of Plasmodium parasites among professionals at all levels of CDCs and hospitals.

In recent years, the total number of imported malaria cases coming from abroad to Jiangsu Province ranked in the top three provinces in China [22, 23]. Although imported falciparum malaria cases accounted for a majority of the total cases in this study, the other three Plasmodium species (P. ovale sp., P. malariae, and P. vivax) were detected every year during the 2011–2014 period. Ovale and malariae malaria cases increased overall during the study period, increasing the potential risk of re-introducing malaria in Jiangsu Province, an area with historically stable malaria transmission [18]. Vivax and falciparum malaria outbreaks have been reported in non-endemic areas in 2005 and 2007, respectively [24, 25] and pose a major challenge for Jiangsu Province to maintain zero incidence of locally transmitted malaria. Given that the transmitting vectors A. sinensis and A. anthropophagus are present, as well as having a suitable climate [17, 18], the potential for local transmission in Jiangsu remains.

Symptoms such as fever, sweating and headache develop on average 7 days after migrant workers return to Jiangsu Province. Of those with P. ovale sp. and P. malariae infections, the average number of days before fever onset was almost 2 months and nearly 1 month, respectively. During these long periods some Plasmodium-infected individuals could have asymptomatic parasitaemia, providing an opportunity for mosquitoes to bite and further contribute to local transmission. Additionally, these asymptomatic individuals may donate their blood through local blood stations without knowing they are infected with malaria. A high rate of antibodies against P. ovale and P. malariae were found in asymptomatic blood donors in Western Africa [26].

Due to the rare occurrence of indigenous ovale and malariae malaria cases in China, these Plasmodium species have been largely neglected. Nevertheless, severe cases of P. ovale sp. pertaining to acute respiratory symptoms and renal failure have been reported [2729]. Plasmodium ovale cases have the potential to relapse if misdiagnosed as P. falciparum and incorrect treatment provided. Furthermore, treatment based on an incorrect diagnosis leads to misuse of anti-malarial drugs as well as drug wastage. Also, P. ovale infections have been misidentified in clinical laboratories settings as P. vivax among malaria cases imported to Singapore over the last 3 years. Misidentified P. ovale infections are reported for the first time among imported malaria cases in Singapore [15]. Although both P. ovale sp. and P. malariae cause mild symptoms, P. malariae can cause chronic nephritic syndrome, leading to adverse reactions during treatment and a high rate of mortality [30]. In Hunan Province, China, P. malariae infections can cause sudden attacks in the following years when patients go without proper anti-malarial treatment [7]. As countries reduce their malaria burden, strategies that address the changing epidemiology to increasing proportions of infections from non-falciparum species need to be developed, validated and adopted [31]. Ensuring a high capacity potential for the diagnosis of falciparum and vivax malaria, as well as for P. ovale sp. and P. malariae infections, remains a challenge to all levels of CDCs and hospitals in Jiangsu Province and China.

Both P. ovale and P. malariae species were reported across the south, central and north parts of Jiangsu Province. In Changzhou, Lianyungang, Yangzhou and Nantong prefectures, which accounted for more than half of all reported malaria cases, the prefecture CDCs should strengthen management of personnel at entry-exit inspection and quarantine department to obtain more information about migrant workers returning from high malaria-endemic areas such as sub-Saharan Africa and Southeast Asia. These cities have many construction enterprises and local migrant labourers frequently travel to Africa for work, and return to China infected with malaria [32, 33]. At the provincial level, since 2012, the JIPD has established a dynamic information platform for local CDCs to collect and input information on migrant workers returning from abroad. Through the platform, timely and accurate information on migrant workers is collected and analysed. Furthermore, local CDCs should also strengthen early malaria detection, standardized treatment and follow-up of those individuals who have travelled with confirmed imported malaria cases. Local hospitals should improve clinical diagnosis and treatment of imported malaria and reduce incidence of severe cases and death cases.

The geographical distribution of imported P. ovale sp. and P. malariae within Africa were mainly concentrated in western Africa. The top three countries that contributed most numbers of P. ovale sp. and P. malariae cases were Equatorial Guinea, Nigeria, and Angola. Given the large economic investment from Jiangsu to Africa, exported migrant workers for construction and labour is increasing as more Chinese companies support infrastructure projects and development [34]. Unexpectedly high sero prevalence of P. ovale and P. malariae was found in healthy West African populations [26]. Isolation and characterization of the msp1 genes from P. ovale and P. malariae has also been reported in a significant number of blood donors in Cameron [35]. That suggested why a greater proportion of imported malaria cases originate from western Africa. In Southeast Asia, this study found Pakistan and Brunei where P. ovale sp. still exist and P. malariae was only found from Pakistan.

Sutherland considered that the weight of evidence favors the proposition that the two P. ovale sp. types are actually two distinct species [36]. For P. ovale curtisi, this study found that Nigeria was the most commonly identified place of origin, which is consistent with observational study [37]. For P. ovale wallikeri, imported infections were mainly clustered in Angola. This is largely because Nigeria and Angola are major economic investment locations for China and Chinese migrant labourers [38]. In Nolder et al., P. ovale sp. interspecies differences in the latency period were significant [37]. However, this study did not find a statistically significant difference in the latency period analysis between P. ovale curtisi and P. ovale wallikeri infections. One possible reason is that this study used patients’ symptoms onset time to calculate latency period instead of diagnostic time, which was introduced by Nolder et al. [37].

Conclusions

This study indicates that the number of malariae and ovale malaria cases increased yearly, as well as the proportion of cases of P. malariae and P. ovale sp. out of the total. Although the majority of imported malaria cases were due to P. falciparum, these findings should raise awareness for all levels of CDCs to focus on accurate and timely diagnosis and surveillance of P. ovale and P. malariae infections originating from sub-Saharan Africa and Southeast Asia. The climate and environment remains suitable for the breeding of Anopheles in China, therefore, the threat of malaria re-introduction remains.

Notes

Abbreviations

CCDC: 

China Centres for Disease Control and Prevention

CRDSIS: 

China routine diseases surveillance information system

IRS: 

indoor residual spraying

JIPD: 

Jiangsu Institute of Parasitic Diseases

LLIN: 

long-lasting insecticide nets

MDA: 

mass drug administration

NMEAP: 

National Malaria Elimination Action Plan

Declarations

Authors’ contributions

YYC, WMW, YBL, and JC conceived the study, YYC collected, analysed and mapped the data and drafted the manuscript. CC contributed to data analysis and manuscript writing. HYZ and GDZ contributed to the data interpretation and coordination. WMW contributed to data collection and interpretation. JXT, FT, FL, SX, YPG, CZ, and JLL contributed to parasitic species confirmation. JC provided guidance and coordination throughout the entire process. All authors read and approved the final manuscript.

Acknowledgements

We thank the staff of local CDCs in all 13 prefectures of Jiangsu Province for assistance in coordinating patients’ information and all sample collections.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The authors will make all data available as reasonably requested, except patient-identifiers.

Ethics approval and consent to participate

All patient-identifiers were removed from the data prior to extraction from database. Non-personal identifiers were used during analysis and presentation. Informed consent was obtained from all patients. The study was approved by the Institutional Review Board of Jiangsu Institute of Parasitic Diseases (IRB00004221), Wuxi, China.

Funding

This study was supported by the Natural Science Foundation of Jiangsu Province (No. BK20150001, BK2010151), the Natural Science Foundation of Jiangsu Province (No. BK20130114), the Natural Science project of Wuxi city, Jiangsu Province (No. MS201528) and the Jiangsu Science and Technology Department (No. BM2015024-1). This investigation also received financial support from TDR, the Special Programme for Research and Training in Tropical Diseases, co-sponsored by UNICEF, UNDP, the World Bank and WHO (No. B20379).

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Key Laboratory of National Health and Family Planning Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases
(2)
Malaria Elimination Initiative, Global Health Group, University of California, San Francisco (UCSF)
(3)
Public Health Research Center, Jiangnan University

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