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There are still multiple challenges in China during the malaria post-elimination phase, including a large number of imported malaria cases with widespread distribution, low awareness of timely healthcare seeking, insufficient malaria diagnosis and treatment capacity of medical institutions and insufficient malaria surveillance and response capability of disease control and prevention institutions. As the core technical institutions for preventing the re-establishment of malaria transmission, both medical institutions and disease control and prevention institutions are required to enhance the collaboration between clinical and public health services, improve the malaria diagnosis and quality management system, intensify case identification and epidemiological investigations, and improve the management mechanism of antimalarial drug reserves. In addition, doctors are encouraged to become the main force in the health education and promotion of malaria prevention to improve the public health literacy. These approaches are recommended to improve the overall capability of timely identification, standardized treatment and effective response of imported malaria cases, so as to continuously consolidate the malaria elimination achievements in China.
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Objective To create risk predictive models of healthcare-seeking delay among imported malaria patients in Jiangsu Province based on machine learning algorithms, so as to provide insights into early identification of imported malaria cases in Jiangsu Province. Methods Case investigation, first symptoms and time of initial diagnosis of imported malaria patients in Jiangsu Province in 2019 were captured from Infectious Disease Report Information Management System and Parasitic Disease Prevention and Control Information Management System of Chinese Center for Disease Control and Prevention. The risk predictive models of healthcare-seeking delay among imported malaria patients were created with the back propagation (BP) neural network model, logistic regression model, random forest model and Bayesian model using thirteen factors as independent variables, including occupation, species of malaria parasite, main clinical manifestations, presence of complications, severity of disease, age, duration of residing abroad, frequency of malaria parasite infections abroad, incubation period, level of institution at initial diagnosis, country of origin, number of individuals travelling with patients and way to go abroad, and time of healthcare-seeking delay as a dependent variable. Logistic regression model was visualized using a nomogram, and the nomogram was evaluated using calibration curves. In addition, the efficiency of the four models for prediction of risk of healthcare-seeking delay among imported malaria patients was evaluated using the area under curve (AUC) of receiver operating characteristic curve (ROC). The importance of each characteristic was quantified and attributed by using SHAP to examine the positive and negative effects of the value of each characteristic on the predictive efficiency. Results A total of 244 imported malaria patients were enrolled, including 100 cases (40.98%) with the duration from onset of first symptoms to time of initial diagnosis that exceeded 24 hours. Logistic regression analysis identified a history of malaria parasite infection [odds ratio (OR) = 3.075, 95% confidential interval (CI): (1.597, 5.923)], long incubation period [OR = 1.010, 95% CI: (1.001, 1.018)] and seeking healthcare in provincial or municipal medical facilities [OR = 12.550, 95% CI: (1.158, 135.963)] as risk factors for delay in seeking healthcare among imported malaria cases. BP neural network modeling showed that duration of residing abroad, incubation period and age posed great impacts on delay in healthcare-seek among imported malaria patients. Random forest modeling showed that the top five factors with the greatest impact on healthcare-seeking delay included main clinical manifestations, the way to go abroad, incubation period, duration of residing abroad and age among imported malaria patients, and Bayesian modeling revealed that the top five factors affecting healthcare-seeking delay among imported malaria patients included level of institutions at initial diagnosis, age, country of origin, history of malaria parasite infection and individuals travelling with imported malaria patients. ROC curve analysis showed higher overall performance of the BP neural network model and the logistic regression model for prediction of the risk of healthcare-seeking delay among imported malaria patients (Z = 2.700 to 4.641, all P values < 0.01), with no statistically significant difference in the AUC among four models (Z = 1.209, P > 0.05). The sensitivity (71.00%) and Youden index (43.92%) of the logistic regression model was higher than those of the BP neural network (63.00% and 36.61%, respectively), and the specificity of the BP neural network model (73.61%) was higher than that of the logistic regression model (72.92%). Conclusions Imported malaria cases with long duration of residing abroad, a history of malaria parasite infection, long incubation period, advanced age and seeking healthcare in provincial or municipal medical institutions have a high likelihood of delay in healthcare-seeking in Jiangsu Province. The models created based on the logistic regression and BP neural network show a high efficiency for prediction of the risk of healthcare-seeking among imported malaria patients in Jiangsu Province, which may provide insights into health management of imported malaria patients.
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@#Abstract: Objective To analyze the recent cluster outbreaks of imported malaria and explore the risks, challenges and countermeasures for dealing with such events during malaria post-elimination era of malaria, and to provide reference for effectively addressing the risks and consolidating the achievements of malaria elimination. Methods The individual malaria case data from "The Information System for Infectious Disease Surveillance" and "The Information System For Parasitic Diseases Prevention And Control" were collected,and the diagnosis classification, infection source, time and space distribution of cases were analyzed. Results From January 1 to August 11, 2022, a total of 429 malaria cases were reported nationwide, an 18.9% decrease compared to the same period last year (529 cases), all of which were imported cases. The overall weekly trend of the outbreak remained stable, but since Week 31 (July 25-31), there has been a significant increase in the number of cases, with a peak on August 5. From July 25 to August 11, 2022, a total of 162 malaria cases were reported nationwide, up 315.4% from 39 cases in the same period last year, accounting for 37.8% of the total cases up to August 11, 2022. The main source of imported infections was Guinea (95 cases, 58.6%), with most cases reported in Longgang District, Shenzhen City, Guangdong Province (30 cases), Shilin County, Kunming City, Yunnan Province (21 cases), Chaoyang District, Beijing (11 cases), and Xiaoshan District, Hangzhou City, Zhejiang Province (7 cases). Conclusions Due to the concentration of returnees to China, several entry port cities simultaneously experienced cluster outbreaks of imported malaria, which brought immense pressure and challenges to local medical and health institutions. Health facilities at all levels need to maintain high vigilance and sensitivity, be well prepared, and avoid death and secondary transmission caused by imported cases.
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Objective To analyze the characteristics of imported malaria epidemic from overseas in Wuhan, to explore the management mechanism of on-site cases, and to accumulate experience for the treatment of imported malaria in large cities after malaria elimination. Methods The epidemiological data on imported malaria from abroad during the period of malaria elimination (2010-2019) in Wuhan were collected. The gender, age and severe illness-related factors of the cases were analyzed. Based on the characteristics of the epidemic and the current situation of prevention and control, the content and experience of the “Municipal-District 24-7” case mechanism were discussed. Results The medical resources in Wuhan were the best in the central region, resulting in a large number of imported malaria cases, with a total of 474 cases reported from 2010 to 2019 (40.79% of the total number of cases in Hubei Province), including 359 cases of falciparum malaria, 36 severe cases and one death (the death rate was 0.28%). The patients were mainly young and middle-aged men aged 20 to 49 years old (97.26%). There were many referral cases (40.30%), and there was no seasonal clustering of cases reported. The undiagnosed proportion at the first visit was 44.85%, and the time of attack-diagnosis was 4 days or more in 61.00% of cases. The occurrence of severe cases was related to unconfirmed diagnosis at the first visit (χ2=35.46, P<0.001) and attack-diagnosis time (Z=-6.49, P<0.001). Conclusion Imported malaria occurs frequently in Wuhan, mainly falciparum malaria. However, “Municipal-District 24-7” case mechanism has effectively curbed the occurrence of severe and death cases and provided valuable experience for case management in similar cities in China.
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After achieving malaria elimination, preventing re-establishment from imported malaria and consolidating malaria elimination achievements are top priorities of the national malaria control program in China. Due to the long-term existence of overseas imported malaria cases and incomplete eradication of local epidemic conditions, there are multiple challenges for prevention of re-establishment from imported malaria in China. Hereby, we propose that regular assessment is an effective approach to maintaining the capability of prevention of re-establishment from imported malaria, and describe the purpose, significance, management and implementation of the capability assessment for prevention of re-establishment from imported malaria, so as to provide insights into the formulation and adjustment of malaria control strategies during the post-elimination phase.
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Objective To create a risk assessment indicator system for re-establishment of imported malaria. Methods The risk assessment indicator system for re-establishment of imported malaria was preliminarily constructed through literature review and thematic discussions. A total of 26 malaria control experts were selected to carry out a two-round Delphi consultation of the indicator system. The active coefficient, authority coefficient and coordination coefficient of the experts and the coefficient of variation on each indicator were calculated for indicator screening and the weight of each indicator was calculated. The reliability of the indicator system was evaluated using Cronbach’s coefficient α, and the content validity of the indicator system was evaluated using the authority coefficient of the expert, while the structural validity of the indicator system was evaluated using Kaiser-Meyer-Olkin (KMO) test and factor analysis. Results Two rounds of Delphi expert consultations were completed by 23 malaria control experts, and a risk assessment indicator system for re-establishment of imported malaria was constructed, including 3 primary indicators, 7 secondary indicators, and 21 tertiary indicators. The active coefficient (100.00% vs. 88.46%; P < 0.01) and coordination coefficient of the expert (0.372 vs. 0.286; P < 0.01) were significantly greater in the second round of the Delphi expert consultation than in the first round. After the second round of the Delphi expert consultation, the authority coefficient of the experts ranged from 0.757 to 0.930 on each indicator, and the coefficients of variation were 0.098 to 0.136, 0.112 to 0.276 and 0.139 to 0.335 for the primary, secondary and tertiary indicators, respectively. The overall Cronbach’s coefficient α of the indicator system was 0.941, and there were significant differences in the KMO values for primary (KMO value = 0.523; χ2 = 18.192, P < 0.05), secondary (KMO value = 0.694, χ2 = 51.499, P < 0.01) and tertiary indicators (KMO value = 0.519; χ2 = 477.638, P < 0.01), while the cumulative contribution rate of six principal components in the tertiary indicators was 84.23%. The normalized weights of three primary indicators of the source of infection, transmission condition and control capability were 0.337, 0.333 and 0.329, and the three secondary indicators with the greatest normalized weights included the number of imported cases and malaria parasite species (0.160), introduction of imported cases in China and medical care seeking (0.152), vector species and density (0.152), while the five tertiary indicators with the greatest normalized weights included the malaria parasite species of imported cases (0.065), vector populations (0.064), and the time interval from onset to medical care seeking (0.059), number of imported cases (0.056), and the time interval from medical care seeking to definitive diagnosis (0.055). Conclusions A risk assessment indicator system for re-establishment of imported malaria is successfully created, which provides insights into the assessment of the risk of re-establishment of imported malaria and management of key high-risk factors in malaria-eliminated areas.
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@#Abstract: Objective China was certified by World Health Organization as a malaria-free country in 2021. Malaria has become a rare infectious disease, and preventing the re-transmission of imported malaria and reducing deaths are the main challenges facing China after elimination of malaria. To analyze and clarify the characteristics of imported malaria deaths, and to provide prevention and treatment recommendations for overseas workers and health care workers. Methods The data of 17 imported malaria deaths in the analysis of malaria deaths from 2016 to 2020 by the National Severe Malaria Treatment Expert Group were collected, and the relevant clinical epidemiological data and disease course records were analyzed. Results The 17 malaria deaths were all imported from Africa with Plasmodium falciparum infection (malarial cerebral type), with no obvious regularity in the month of onset. Among them, 16 were male patients, 5 cases with underlying diseases such as diabetes mellitus, and 10 patients were first diagnosed in a second-level or lower hospital. Excluding patients who died of respiratory cardiac arrest in ambulances, the mean time difference between first onset and malaria diagnosis in 16 patients was 6.8 days (median 5.5 days), and the mean time between first onset and antimalarial treatment was 7.4 days (median 6 days), the mean time difference from initial onset to death was 10.3 days (median 8.5 days). Excluding cases with onset abroad and unknown time of return, all 14 patients developed the disease within 30 days after returning to China. Conclusion All the fatal cases were infected with Plasmodium falciparum imported from Africa. The patients' awareness of actively seeking medical treatment is weak, and the delay in seeking medical treatment caused by the insufficient diagnosis and treatment capacity of health institutions at the township level and below is the main reason for the deaths. It is recommended to strengthen the self-protection awareness of staff in malaria-endemic areas overseas and raise their awareness of malaria. For returnees from areas with high malaria risk, primary medical institutions should pay attention to the patient's travel history in Africa, improve the awareness of malaria diagnosis, malaria diagnosis and treatment capabilities.
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Malaria was one for the most serious communicable diseases in China. Following the concerted efforts for decades, remarkable achievements have been gained for malaria control in China. Since the national malaria elimination programme was initiated in China in 2010, local malaria transmission was rapidly interrupted, with zero indigenous malaria case reported for the first time in the country in 2017, and the country will undergo the certification of malaria elimination by WHO. Currently, however, malaria remains hyper-endemic across the world. In China, there are more than 2 000 overseas imported malaria cases each year, and prevention of re-establishment of imported malaria will become the major task in future malaria control activities. Here by, we analyze the main challenges in the prevention of re-establishment of imported malaria in China, and propose the corresponding countermeasures, so as to provide insights into the consolidation of malaria elimination achievements.
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Objective To analyze the hospitalization cost and its influencing factors of imported malaria patients in Guangxi Zhuang Autonomous Region and Yunnan Province, so as to provide insights into the evaluation of the economic burden due to imported malaria, and the guiding of malaria control and the rational allocation of medical resources. Methods The data pertaining to the hospitalization costs of imported malaria patients admitted to Shanglin County People’s Hospital in Guangxi Zhuang Autonomous Region during the period from January 1 through December 31, 2019, and Tengchong Municipal People’s Hospital in Yunnan Province from January 1, 2015 to December 31, 2019, were collected, and the epidemiological data of these imported malaria patients were extracted from the Information Management System for Parasitic Diseases Control and Prevention, China. The composition of the hospitalization expenses was analyzed using a descriptive method. In addition, the factors affecting the hospitalization expenses of imported malaria patients were identified using a univariate analysis and a recursive system model. Results A total of 206 imported malaria patients were included in this study, including 194 men (94.17%) and 12 women (5.83%). The mean length of hospital stay was 5.00 days per patient and the median hospitalization expenses were 2 813.07 Yuan per time, in which the expenses for laboratory examinations were the highest (45.31%, 1 274.62/2 813.07). Univariate analysis showed that hospital (z = 5.43, P < 0.01), type of malaria (χ2 = 34.86, P < 0.01) and type of payment (χ2 = 7.72, P < 0.05) were factors affecting the hospitalization expenses of imported malaria patients. Recursion system modeling revealed that the total effects on hospitalization expenses of imported malaria patients included length of hospital stay (0.78), selection of hospital (0.34), basic medical insurance for urban and rural residents (0.19), new rural cooperative medical care (0.17), Plasmodium falciparum malaria (0.15), gender (0.11) and P. vivax malaria (0.09). Conclusions The hospitalization expenses of imported malaria patients are affected by multiple factors in Guangxi Zhuang Autonomous Region and Yunnan Province, in which the length of hospital stay is the most predominant influencing factor. A reduction in the length of hospital stay is effective to decrease the hospitalization expenses of imported malaria patients.
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ObjectiveTo investigate the drug-resistant gene polymorphisms in Plasmodium falciparum imported from Equatorial Guinea to Shandong Province. MethodsFrom 2015 to 2016, blood samples were collected from imported P. falciparum malaria patients returning from Equatorial Guinea to Shandong Province, and genome DNA of the malaria parasite was extracted. The drug-resistant Pfcrt, Pfmdr1, Pfdhfr, Pfdhps, and K13 genes of P. falciparum were amplified using a PCR assay, followed by DNA sequencing, and the sequences were aligned. Results The target fragments of all 5 drug-resistant genes of P. falciparum were successfully amplified and sequenced. There were 72.8%, 18.6%, and 8.6% of P. falciparum parasites carrying the wild-, mutant-, and mixed-type Pfcrt gene, respectively, and all mutant haplotypes were CVIET (the underline indicates the mutation site). There were 20.0%, 61.4% and 18.6% of P. falciparum parasites carrying the wild-, mutant-, and mixed-type Pfmdr1 gene, respectively, and the mutant haplotypes mainly included YF and NF (the underlines indicate the mutation sites). There were 1.4%, 98.6%, and 0 of P. falciparum parasites carrying the wild-, mutant-, and mixed-type Pfdhfr gene, respectively, and AIRNI was the predominant mutant haplotype (the underline indicates the mutation site). There were 1.4%, 94.3%, and 4.3% of P. falciparum parasites carrying the wild-, mutant-, and mixed-type Pfdhps gene, respectively, and SGKAA was the predominant mutant haplotype (the underline indicates the mutation site). The complete drug-resistant IRNGE genotype consisted of 8.6% of the Pfdhfr and Pfdhps genes, and the K13 gene A578S mutation occurred in 1.4% of the parasite samples. Conclusions There are mutations in the Pfcrt, Pfmdr1, Pfdhfr, Pfdhps, and K13 genes of P. falciparum imported from Equatorial Guinea to Shandong Province, with a low frequency in the Pfcrt gene mutation and a high frequency in the Pfmdr1, Pfdhfr, and Pfdhps gene mutations, and the K13 gene A578S mutation is detected in the parasite samples.
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ObjectiveTo analyze the re-examination results of malaria cases captured from the National Notifiable Communicable Disease Reporting System in Hubei Provincial Malaria Diagnostic Reference Laboratory from 2017 to 2019, so as to pro- vide the scientific evidence for improving the malaria control capability in the province. MethodsMicroscopy and nested PCR assay were performed to re-examine the diagnosis of malaria cases registered in the National Notifiable Communicable Disease Reporting System in Hubei Provincial Malaria Diagnostic Reference Laboratory from 2017 to 2019, and the coincidences of ma- laria diagnosis and malaria parasite species were evaluated. Results A total of 410 malaria cases were reported in Hubei Province from 2017 to 2019 according to the data retrieved from the National Notifiable Communicable Disease Reporting System. Among the 407 samples re-examined by Hubei Provincial Malaria Diagnostic Reference Laboratory from 2017 to 2019, the diag- nosis 374 malaria cases were confirmed, with an overall coincidence of 91.89% (374/407) for malaria diagnosis and 89.04% (333/374) for parasite species identification. The coincidence rates of malaria diagnosis and parasite species identification were 50.00% to 100.00% and 66.67% to 100.00% in 16 cities (prefectures) of Hubei Province during the re-examinations, which both varied in regions (χ2 = 40.46 and 42.30, both P values < 0.01). The coincidence rates of Plasmodium falciparum, P. vivax, P. malariae and P. ovale identification were 95.80%, 100.00%, 58.33% and 51.92% during the re-examinations, respectively (χ2 = 76.66, P < 0.01). The consistency rate between microscopic and nested PCR results was 89.83% (362/403). Conclusions The overall diagnostic quality of malaria is high in medical institutions at all levels in Hubei Province; however, the diagnostic capability of malaria remains to be improved in some regions.
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Objective To detect the chloroquine-resistant molecular marker polymorphisms in Plasmodium falciparum imported into China, investigate the mutation types of P. falciparum chloroquine resistant transporter (Pfcrt) gene at positions 72 to 76, and analyze the specificity of the P. falciparum specimens with different origins. Methods A total of 674 filter paper blood samples were collected from the National Malaria Diagnosis Reference Laboratory of China in 2012 and 2018. The amino acid po- sitions 72 to 76 of the Pfcrt gene on chromosome 7 were amplified using nested PCR assay and sequenced, and the sequencing results of the target gene fragment and the geographical region-specific prevalence of the mutations in the Pfcrt gene were analyzed. Results Among the 674 imported P. falciparum malaria cases in China in 2012 and 2018, 99.5% (644/674) were from Africa, which were predominantly from western and central Africa (80.4%, 518/644), and 4.5% (30/674) from Southeast Asia and Oceania (Papua New Guinea). A total of 4 site mutations (C72S, M74I, N75E and K76T) and 5 haplotypes (CVMNK, CVIET and SVMNT and two mixed types) were identified, with haplotypes CVMNK and CVIET present in parasites of both African and Southeast Asian origins, SVMNT detected in Southeast Asia (Myanmar) and Papua New Guinea isolates, the mixed type of haplo- types CVMNK/CVIET detected in P. falciparum of African and Southeast Asian origins, and the mixed type of haplotypes CVMNK/SVMNT detected only in the Myanmar isolate. Most P. falciparum parasites of the African origin carried the wild-type Pfcrt allele (77.7%, 478/615), and 68.0% (17/25) of the P. falciparum parasites of the Southeast Asian and Papua New Guinea or- igins harbored chloroquine resistant molecular markers (χ2 = 28.5, P < 0.05). The constituent ratio of the wild- and mutant-type Pfcrt allele varied in different geographical regions of Africa (P < 0.01), and the lowest prevalence of the wild-type Pfcrt allele was seen in western Africa. Conclusion Among the 674 imported malaria cases in China in 2012 and 2018, the P. falciparum imported from Sotheast Asia habors a higher proportion of resistance to chloroquine and a higher molecular polymophism at ami- no acid positions 72 to 76 of the Pfcrt gene than the parasite of the African origin.
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Objective To evaluate the effectiveness of the application of Wondfo Rapid Diagnostic Kit (RDTs) in the diagnosis of imported malaria cases in the Malaria Reference Laboratory of Hubei Provence. Methods The complete blood samples of malaria cases and negative card deletion cases reported in Hubei Province from January 2015 to June 2018 were collected and retrospectively analyzed. The results of the provincial malaria reference laboratory were used as the standard, and were compared with those results detected by RDTs, microscopic examination and nested PCR. The differences were statistically analyzed. Results A total of 440 complete samples were collected by the Malaria Reference Laboratory of Hubei Provence, of which 418 samples were confirmed as positive, and 22 samples were confirmed as negative. In terms of the identification ability of P. falciparum, RDTs performed the best, with a coincidence rate of 100.00%, and the coincidence rates nested PCR and microscopic examination were 97.49% and 91.40%, respectively. In terms of the identification specificity for another 3 species of Plasmodium (P. vivax, P. ovarian and P. vivax), nested PCR was the best, the microscopy method was the second best, and RDTs was the lowest. Based on the comprehensive analysis of 12 individual indicators, RDTs had the highest score (32), while the microscopic examination and nested PCR scored 24 and 19, respectively. Conclusion RDTs had certain advantages in the detection of malaria, but they had a low identification specificity for different species. Thus, they can be used as auxiliary tools for microscopic examination and widely used in surveillance work after malaria elimination in Hubei Province.
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Objective To analyze the diagnosis of imported malaria cases in Henan Province from 2015 to 2019, so as to provide the evidence for malaria surveillance during the post-elimination stage. Methods The data pertaining to malaria cases in Henan Province from 2015 to 2019 were extracted via the web-based Chinese Information System for Infectious Diseases Control and Prevention and the Parasitic Diseases Information Reporting Management System (PDIRMS) of Chinese Center for Disease Control and Prevention, and the diagnostic methods, diagnostic institutions and diagnostic time of imported malaria cases were analyzed. Results A total of 952 imported malaria cases were reported in Henan Province during the period from 2015 through 2019, and all cases were laboratory-confirmed. The positive rate of malaria rapid diagnostic tests (RDTs) was 98.61% (779/790), which was significantly greater than that (94.22%, 897/952) of microscopic examinations (χ2 = 22.773, P < 0.05). The proportion of imported malaria cases diagnosed in medical institutions increased from 65.22% (120/184) in 2015 to 81.50% (185/227) in 2019. Among the 238 imported malaria cases diagnosed in centers for disease control and prevention (CDC), 71.01% (169/238) were diagnosed in county-level CDC, and among the 704 cases diagnosed in medical institutions, only 8.38% (59/704) were diagnosed at county-level medical institutions. The median time from onset to definitive diagnosis of malaria was 3 days, and the median duration between onset and initial diagnosis of malaria was 1 day. The duration between initial diagnosis and definitive diagnosis of malaria varied significantly among years (χ2 = 24.956, P < 0.05), and the interquartile range from initial diagnosis to definitive diagnosis reduced from 4 days in 2016 to 2 days in 2019. In addition, the median time from initial diagnosis to definitive diagnosis was significantly longer in severe falciparum malaria cases than in non-severe falciparum malaria cases (2 days vs. 1 day; Z = 7.557, P < 0.05). Conclusions Medical institutions play a more and more important role in the identification and surveillance of malaria cases; however, the diagnostic capability of malaria remains low in county-level medical institutions. The diagnostic awareness and capability of county-level medical institutions requires to be improved, in order to play their roles as sentinel hospitals in the malaria surveillance during the post-elimination stage.
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Objective To analyze the epidemiological characteristics of imported malaria cases in Fujian Province from 2014 to 2018, so as to provide scientific basis for the development of the control strategy for imported malaria. Methods The epidemiological data of malaria cases in Fujian Province from 2014 to 2018 were retrieved from the Notifiable Disease Reporting System and Parasitic Disease Information Reporting System of Chinese Center for Disease Control and Prevention, and the classification, origin of infections, temporal distribution, spatial distribution, population distribution, reporting institutions and diagnosis were analyzed. Results A total of 540 overseas imported malaria cases were reported in Fujian Province from 2014 to 2018, and all cases were laboratory-confirmed, including 398 cases with falciparum malaria, 88 cases with vivax malaria, 38 cases with ovale malaria, 14 cases with malariae malaria and 2 cases with mixed infections. There were 90.56% (489/540) of the imported malaria cases with infections in 27 African countries, 5.92% (32/540) with infections in 5 Asian countries and 3.52% (19/540) with infections in one Oceania country. There was no significant seasonal distribution of the cases, and the imported malaria cases were predominantly detected in Fuzhou City (80.00%, 432/540) and at ages of 20 to 49 years (81.48%, 440/540). Initial diagnosis was predominantly at the city-level medical institutions, and 77.96% (421/540) were diagnosed as malaria at the initial diagnosis institutions. The median duration from onset to initial diagnosis was 2 days and 70.19% (379/540) were diagnosed within 3 days of onset. The interval between initial diagnosis and definitive diagnosis was 0 day, with 85.37% (461/540) definitively diagnosed within 3 days of initial diagnosis. Conclusions Overseas imported malaria is a continuous problem challenging the malaria elimination programme of Fujian Province. Improving the healthcare-seeking awareness and the diagnostic capability of healthcare workers, and intensifying the monitoring and management of malaria among overseas labors are strongly recommended.
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Objective To study the epidemiological characteristics of imported malaria in Chenzhou City, Hunan Province, so as to provide the reference for consolidating the malaria elimination and formulating the prevention and control strategies of imported malaria. Methods The epidemiological characteristics of imported malaria were statistically analyzed in Chenzhou City from 2010 to 2017. Results Totally 46 malaria cases, which were all imported, were reported in Chenzhou City from 2010 to 2017, with an average annual incidence of 0.12/105. The reported malaria cases were mainly falciparum malaria, accounting for 60.87% of the total number of cases. There was no obvious seasonal distribution of malaria cases, but the top of reported cases were in June. Totally 73.91% of malaria cases were concentrated in Beihu District, Suxian District, Guiyang County and Zixing City. These cases were mainly the young and middle-aged and 69.57% of the cases were from 36 to 60 years old. There was a statistically significant difference in the distribution of malaria patients among the age groups (χ2 = 47.80, P < 0.01). The median time from onset to diagnosis was 6 days, and the case confirmed institutions were dominated by municipal and above medical institutions, accounting for 52.17% of the total number of cases. There was a statistically significant difference in the proportion of confirmed cases among medical and health institutions at all levels ( χ2 = 41.96, P < 0.01). Conclusions The importation of malaria in Chenzhou City is still severe. The awareness of malaria diagnosis and treatment in primary medical institutions, malaria patients' serum tests, and the health education of malaria control and prevention knowledge should be strengthened to consolidate the malaria elimination results.
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Objective To analyze the epidemic situation of malaria and explore the targeted control strategy in Guangxi from 2011 to 2018. Methods The malaria surveillance data were collected in Guangxi Zhuang Autonomous Region from 2011 to 2018, and a descriptive method was employed to analyze the epidemiological features of the malaria cases. Results A total of 2 944 malaria cases were reported in Guangxi Zhuang Autonomous Region from 2011 to 2018, including a case with local infection (0.03%) and 2 943 imported cases (99.97%). There were 2 933 cases (99.63%) positive for Plasmodium confirmed by laboratory testing, including 2 166 cases (73.86%) with P. falciparum malaria, 388 cases (13.23%) with P. ovale malaria, 276 cases (9.41%) with P. vivax malaria, 40 cases (1.36%) with P. malariae malaria and 62 cases (2.11%) with mixed infections, and 11 clinically diagnosed cases (0.37%). The malaria cases were distributed in 91 counties (districts) of 14 cities in Guangxi, with the largest number of cases found in Nanning City (2 515 cases, 85.43%). The malaria cases were originated from 29 countries in Africa (94.67%), 7 countries in Southeast Asia (5.10%), one country in South America (0.07%), 2 countries in South Asia and China (0.10%). In African countries, most malaria cases were from Ghana (1 947 cases, 66.13%), and in Southeast Asian countries, most cases were from Myanmar (75 cases, 2.55%). Most malaria cases were young men, and 2 899 cases (98.13%) were male, while 2 583 cases (87.74%) were at ages of 20 to 49 years. Gold washing and mining was the predominant occupation (2 561 cases, 86.99%), and the malaria cases were reported in each month across the year, with the largest number of cases detected in June (665 cases, 22.59%), while no season-specific distribution was found. There were 1 431 cases (48.61%) reported by disease control and prevention institutions, 1 511 cases (51.30%) reported by medical institutions, and 2 cases (0.07%) reported by inspection and quarantine institutions. During the period from 2011 to 2018, there were 6 deaths of imported malaria cases in Guangxi, and no secondary cases were reported. Conclusions The epidemic situation of local malaria has been effectively controlled in Guangxi; however, there is a great challenge for the management of overseas imported malaria. Strengthening the monitoring and management of migrant labors is the key to consolidate the achievements of malaria elimination.
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Objective To analyze the epidemic situation of malaria and explore the targeted control strategy in Guangxi from 2011 to 2018. Methods The malaria surveillance data were collected in Guangxi Zhuang Autonomous Region from 2011 to 2018, and a descriptive method was employed to analyze the epidemiological features of the malaria cases. Results A total of 2 944 malaria cases were reported in Guangxi Zhuang Autonomous Region from 2011 to 2018, including a case with local infection (0.03%) and 2 943 imported cases (99.97%). There were 2 933 cases (99.63%) positive for Plasmodium confirmed by laboratory testing, including 2 166 cases (73.86%) with P. falciparum malaria, 388 cases (13.23%) with P. ovale malaria, 276 cases (9.41%) with P. vivax malaria, 40 cases (1.36%) with P. malariae malaria and 62 cases (2.11%) with mixed infections, and 11 clinically diagnosed cases (0.37%). The malaria cases were distributed in 91 counties (districts) of 14 cities in Guangxi, with the largest number of cases found in Nanning City (2 515 cases, 85.43%). The malaria cases were originated from 29 countries in Africa (94.67%), 7 countries in Southeast Asia (5.10%), one country in South America (0.07%), 2 countries in South Asia and China (0.10%). In African countries, most malaria cases were from Ghana (1 947 cases, 66.13%), and in Southeast Asian countries, most cases were from Myanmar (75 cases, 2.55%). Most malaria cases were young men, and 2 899 cases (98.13%) were male, while 2 583 cases (87.74%) were at ages of 20 to 49 years. Gold washing and mining was the predominant occupation (2 561 cases, 86.99%), and the malaria cases were reported in each month across the year, with the largest number of cases detected in June (665 cases, 22.59%), while no season-specific distribution was found. There were 1 431 cases (48.61%) reported by disease control and prevention institutions, 1 511 cases (51.30%) reported by medical institutions, and 2 cases (0.07%) reported by inspection and quarantine institutions. During the period from 2011 to 2018, there were 6 deaths of imported malaria cases in Guangxi, and no secondary cases were reported. Conclusions The epidemic situation of local malaria has been effectively controlled in Guangxi; however, there is a great challenge for the management of overseas imported malaria. Strengthening the monitoring and management of migrant labors is the key to consolidate the achievements of malaria elimination.
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Objective To investigate the epidemic situation and its epidemic characteristics of malaria in Qingdao City from 2012 to 2017, so as to provide the evidence for the prevention and control of malaria in this city. Methods The data of cases and epidemiological characteristics of malaria in Qingdao City, 2012–2017 were collected from the China’s disease prevention and control system infectious disease report information management system and parasitic disease prevention and control information management system, and analyzed. Results A total of 103 cases of malaria were reported in Qingdao City from 2012 to 2017, and all of them were imported. Among them, 98 (95.15%) were imported from Africa and 5 (4.85%) from Asia. There were 92 laboratory confirmed cases (89.32%) and 11 (10.68%) clinically diagnosed cases. The highest incidence occurred in 2016 (0.28/105) . According to the classification of cases, there were 87 falciparum malaria cases (84.47%), 13 vivax malaria cases (12.62%), and 3 ovale malaria cases (2.91%) . These patients were mainly young men, and the male to female ratio was 19.6∶1. There were malaria case reports in each month, and the peak onset season was not obvious. Newly diagnosed and confirmed units were mainly municipal medical institutions; the median of onset-definite diagnosis was 4 days. There was one death case, but there were no recurrence, reburning, and imported secondary cases. Conclusion There were no local malaria cases in Qingdao City from 2012 to 2017. The prevention and control of imported malaria is the focus of the future work.
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Objective To evaluate the effects of WeChat publicity in imported malaria control in timber industry in Zhangjiagang City, so as to provide new ideas for the control of malaria imported from abroad. Methods The data of malaria epidemic in Zhangjiagang City was collected, and the contact way of the overseas personnel in timber industry in Zhangjiagang City were obtained. The knowledge of the prevention and control of malaria was propagandized by WeChat among these personnel, and the awareness situation of malaria control knowledge of this population was investigated by questionnaires before and after the WeChat publicity. In addition, the number of new malaria cases among returnees from abroad in timber industry before and after WeChat publicity was calculated. Results All the links in timber industry in Zhangjiagang City adopted WeChat as the contact way. Before and after the WeChat publicity, 128 and 150 questionnaires were collected, respectively, the awareness rates of malaria control knowledge of the investigated objects were in the range of 7.81%-62.50% and 33.33%-90.00%, respectively, and the differences between the awareness rates on all the questions before and after the WeChat publicity were statistically significant (all P < 0.05). Before the WeChat publicity, there were 6 new malaria cases in the population going aboard in timber industry, whereas no new cases were found after the publicity in this population. Conclusion WeChat publicity plays a good role in the prevention and control of malaria imported from overseas in timber industry in Zhangjiagang City, and this publicity method can be promoted in other industries.