As one of major global public health challenges, malaria control is crucial to building a global community of health for all. The 2026 “China-Africa Year of People-to-People Exchanges” provides a new opportunity for China’s participation in international cooperation for malaria control. This article introduces the strategic significance and practical path of China’s participation in international cooperation on malaria control in the new era, and discusses policy recommendations for optimizing the cooperation model between China and African countries, aiming to provide insights into accelerating the progress towards global malaria elimination and facilitating the building of a China-Africa community of health for all.

Malaria remains one of the most serious public health problems worldwide. After China achieved the target for malaria elimination, thousands of imported malaria cases are still reported annually. Timely and accurate diagnosis is critical to clinical treatment of cases and prevention of re-establishment of imported malaria. Detection of Plasmodium antigens is one of the criteria for definitive diagnosis of malaria. Malaria rapid diagnostic tests (RDTs) based on the immunochromatographic assay have become an important tool for clinical diagnosis of malaria due to convenient procedures and rapid detection. Nevertheless, there are still multiple misunderstandings pertaining to use of malaria RDTs among workers in medical and disease control and prevention institutions at all levels across China. To standardize technical guidelines and operational procedures for detection of Plasmodium spp., the National Disease Control and Prevention Administration has arranged the formulation of a recommended health industry standard Detection of Plasmodium spp. Immune-chromatographic test (WS/T 10029—2025), which has been officially iming immunochromatographic assays, including the testing principles, sample collection and detection procedures, and result interpretation, which provides the technical basis and operational specifications for detection of Plasmodium antigens in medical and disease control and prevention institutions at all levels. Based on analysis of the epidemiological characteristics of imported malaria in China, this article interprets the core content of this standard, aiming to promote its dissemination, implementation, and practical applications.

Objective To investigate the palmitoyltransferase (PATs) activity during different developmental stages of Plasmodium falciparum and to explore the impact of PATs activity on intra-erythrocytic replication and gametocytogenesis, so as to provide insights into development of novel antimalarial targets. Methods The PATs activity was measured using the click chemistry method during different developmental stages of P. falciparum, including rings, trophozoites, schizonts, and gametocytes. P. falciparum-infected erythrocytes were divided into three groups, including a control group, a dimethyl sulfoxide (DMSO) group, and a 2-bromopalmitate (2-BP) group. Erythrocytes in the control group were incubated in normal culture media, and cells in DMSO and 2-BP groups were exposed to DMSO or 2-BP at a final concentration of 10 μmol/L to examine the inhibitory effect of 2BP on the PATs activity. The growth curve analysis and gametocyte production assay were employed to investigate changes in asexual proliferation and gametocyte production of P. falciparum following inhibition of the PATs activity with 2-BP, and transcriptomics sequencing was performed to examine the impact of inhibition of the PATs activity with 2-BP on transcriptional levels of P. falciparum and possible mechanisms. Results The green fluorescence intensity of PATs varied across developmental stages of P. falciparum (F = 38.120, P < 0.001), with a higher fluorescence intensity seen in trophozoites (35.680 ± 8.439), merozoites (33.380 ± 9.030) and gametocytes (21.540 ± 8.654), and a lower intensity in ring bodies (10.720 ± 3.183) (all P values < 0.05). The green fluorescence intensities were 8.738 ± 1.576, 8.633 ± 1.827 and 4.911 ± 0.318 in the control group, DMSO group, and 2-BP group 4 days post-culture (schizont stage), respectively (F = 91.490, P < 0.001), and the PATs activity was significantly inhibited post-treatment with 2-BP (P < 0.05). The areas under the time curve for the parasitemias were 25.700 ± 0.696, 28.630 ± 3.062 and 8.370 ± 1.751 in the control group, DMSO group, and 2-BP group following inhibition of the PATs activity during the asexual stage of P. falciparum (F = 83.440, P < 0.001), and the parasitemia was lower in the 2-BP group than in the control group and the DMSO group (both P values < 0.001). In addition, the asexual stage development was delayed in the 2BP group, with abnormal morphology seen. The numbers of merozoites were 18.050 ± 4.362, 18.200 ± 3.517 and 14.020 ± 4.320 in each schizont in the control group, DMSO group and 2-BP group, respectively (H = 39.100, P < 0.001), and the merozoite number was significantly lower in the 2-BP group than in the control group and the DMSO group (both P_adjusted values < 0.001). The areas under the time curve for P. falciparum gametocyte production were 18.900 ± 0.384, 18.240 ± 0.177 and 7.507 ± 0.201 in the control group, the DMSO group, and the 2-BP group following inhibition of the PATs activity, respectively (F = 1 677.000, P < 0.001), and the proportion of gametocyte production was statistically lower in the 2-BP group than in the control group and DMSO group (both P values < 0.001). The formation and maturation of gametophytes were blocked in the 2-BP group, and most of them were arrested in the middle and late stages. Following 2-BP treatment, significantly down-regulated genes during the asexual stage of P. falciparum were significantly enriched in cell cycle regulation, mitosis, DNA damage/response and structural organization, and significantly down-regulated genes during the gametocyte stage were significantly enriched in biological processes of cell cycle (mitosis and G1/S transition), RNA regulation and metabolism (such as carbon catabolite repression 4-negative on TATA-less) and cell development and differentiation. Conclusion The palmitoylation modification plays an important role in the asexual reproduction and gametocyte generation and development of P. falciparum.

The rapid rise and fast development of artificial intelligence (AI) has brought unprecedented opportunities and challenges to all sectors, including disease prevention control. Malaria is one of the world’s most devastating infectious diseases. This article summarizes the advances in the research and application of AI-empowered malaria control programmes, analyzes key challenges during the implementation of malaria control programmes, and proposes future development directions and research proprieties, so as to provide insights into facilitating the translation of AI-driven strategies in global infectious disease control efforts.

The insecticide resistance is becoming increasingly severe in malaria vectors and has become one of the most important threats to global malaria elimination. Currently, malaria vectors not only have developed high resistance to conventional insecticides, including organochlorine, organophosphates, carbamates, and pyrethroids, but also have been resistant to recently used neonicotinoids and pyrrole insecticides. This article describes the current status of global insecticide resistance in malaria vectors and global insecticide resistance management strategies, analyzes the possible major challenges in the insecticide resistance management, and proposes the response actions, so as to provide insights into global insecticide resistance management and contributions to global malaria elimination.

Objective To investigate the development and dynamic changes of cysts in the brain of mice following infection with different forms of Toxoplasma gondii, so as to provide insights into for toxoplasmosis prevention and control. Methods ICR mice at ages of 6 to 8 weeks, each weighing 20 to 25 g, were intraperitoneally injected with tachyzoites of the T. gondii PRU strain at a dose of 1 × 10⁵ tachyzoites per mouse, orally administered with cysts at a dose of 20 oocysts per mouse or oocysts at a dose of 200 oocysts per mouse for modeling chronic T. gondii infection in mice, and the clinical symptoms and survival of mice were observed post-infection. Mice were orally infected with T. gondii cysts at doses of 10 (low-dose group), 20 (medium-dose group), 40 cysts per mouse (high-dose group), and the effect of different doses of T. gondii infections on the number of cysts was examined in the mouse brain. Mice were orally administered with T. gondii cysts at a dose of 20 cysts per mouse, and grouped according to gender (female and male) and time points of infections (20, 30, 60, 90, 120, 150, 180 days post-infection), and the effects of gender and time points of infections on the number of cysts was examined in the mouse brain. In addition, mice were divided into the tachyzoite group (Group T), the first-generation cyst group (Group C1), the second-generation cyst group (Group C2), the third-generation cyst (Group C3) and the fourth-generation cyst group (Group C4). Mice in the Group T were intraperitoneally injected with T. gondii tachyzoites at a dose of 1 × 10⁵ tachyzoites per mouse, and the cysts were collected from the mouse brain tissues 30 days post-infection, while mice in the Group C1 were orally infected with the collected cysts at a dose of 30 cysts per mouse. Continuous passage was performed by oral administration with cysts produced by the previous generation in mice, and the effect of continuous passage on the number of cysts was examined in the mouse brain. Results Following infection with T. gondii tachyzoites, cysts and oocysts in mice, obvious clinical symptoms were observed on days 6 to 13 and mice frequently died on days 7 to 12. The survival rates of mice were 67.0%, 87.0% and 53.0%, and the mean numbers of cysts were (516.0 ± 257.2), (1 203.0 ± 502.0) and (581.0 ± 183.1) in the mouse brain (F = 11.94, P < 0.01) on day 30 post-infection with T. gondii tachyzoites, cysts and oocysts, respectively, and the numbers of cysts in the brain tissues were significantly lower in mice infected with T. gondii tachyzoites and oocysts than in those infected with cysts (all P values < 0.01). The survival rates of mice were 87.0%, 87.0% and 60.0%, and the mean numbers of cysts were (953.0 ± 355.5), (1 084.0 ± 474.3) and (1 113.0 ± 546.0) in the mouse brain in the low-, medium- and high-dose groups on day 30 post-infection, respectively (F = 0.42, P > 0.05). The survival rates of male and female mice were 73.0% and 80.0%, and the mean numbers of cysts were (946.4 ± 411.4) and (932.1 ± 322.4) in the brain tissues of male and female mice, respectively (F = 1.63, P > 0.05). Following continuous passage, the mean numbers of cysts were (516.0 ± 257.2), (1 203.0 ± 502.0), (896.8 ± 332.3), (782.5 ± 423.9) and (829.2 ± 306.0) in the brain tissues of mice in the T, C1, C2, C3 and C4 groups, respectively (F = 4.82, P < 0.01), and the number of cysts was higher in the mouse brain in Group 1 than in Group T (P < 0.01). Following oral administration of 20 T. gondii cysts in mice, cysts were found in the moues brain for the first time on day 20 post-infection, and the number of cysts gradually increased over time, peaked on days 30 and 90 post-infection and then gradually decreased; however, the cysts were still found in the mouse brain on day 180 post-infection. Conclusions There is a higher possibility of developing chronic T. gondii infection in mice following infection with cysts than with oocysts or tachyzoites and the most severe chronic infection is seen following infection with cysts. The number of cysts does not correlate with the severity of chronic T. gondii infection, and the number of cysts peaks in the mouse brain on days 30 and 90 post-infection.

Objective To collect data on imported malaria cases in Jiangsu Province from 2019 to 2023 after malaria elimination and to analyze the current epidemic situation and prevention and control measures of imported malaria, discussing future prevention and control strategies. Methods Malaria case information for Jiangsu Province from 2019 to 2023 was extracted and downloaded from the China Information System for Disease Control and Prevention (CISDCP) as well as the Jiangsu Provincial malaria epidemic database. Statistical analysis was conducted using Stata 12.0 and SPSS 16.0 software. Results From 2019 to 2023, a total of 534 cases of malaria were directly reported online in Jiangsu Province, with annual cases numbering 244, 90, 32, 36, and 132 respectively, all being laboratory-confirmed imported malaria cases from abroad. During the COVID-19 pandemic from 2020 to 2022, the number of imported malaria cases significantly decreased, with several months reporting zero cases. Among the 534 malaria cases, the vast majority were individuals who had traveled to countries in sub-Saharan Africa and Southeast Asia for work, business, international studies, or tourism. Over the five years, the median, minimum, and maximum days for patients from onset of illness to health-seeking were 1(0,12), 1(0,8), 0(0,6), 0(0,10), and 1(0,18) days, with a statistically significant difference in health-seeking time among patients (Fisher's exact test, P=0.03). Over the past three years of the COVID-19 pandemic, compared to outside centralized isolation stations, malaria cases within centralized isolation stations were diagnosed in a shorter time (Fisher exact test, P=0.007). A total of 24 severe malaria cases were reported, with no deaths, including 23 cases of P. falciparum and 1 case of P. ovale. Conclusions After the elimination of malaria, imported malaria cases in Jiangsu Province have sharply decreased due to the impact of the COVID-19 pandemic. Malaria cases in centralized isolation stations (CIS) for COVID-19 control of Jiangsu Province are more likely to be promptly diagnosed, and the timeliness from onset to health-seeking among malaria patients returning from high-malaria areas improved. As COVID-19 prevention and control policies adjusted, there has been a sharp increase in imported malaria cases in 2023. It's still necessary to strengthen measures for malaria prevention and control and maintain the capacity to prevent malaria re-transmission in Jiangsu Province.

Abstract: Objective To conduct genotyping and molecular tracing analysis on Plasmodium vivax samples from a cluster of P. vivax malaria outbreak in order to provide a reference for case geographical origin determination. Methods Blood samples from 4 patients in a vivax malaria cluster in Longhui County, Hunan Province from June to July 2018 were collected for species identification by qPCR, and 9 microsatellite molecular markers were used to genotype the parasite strains from four samples. The population genetic STRUCTURE analysis was performed based on the VivaxGEN-MS microsatellite genotype database of P. vivax in the Asia Pacific Malaria Elimination Network, to determine the genetic subgroups and geographical origin of the strains. Results By qPCR, all 4 cases were identified as Plasmodium vivax infection, and 9 microsatellite loci of the 4 cases were successfully typed, and the four samples had different genetic haplotypes, among which case 1, case 3, and case 4 were infected by a single clonal strain, and case 2 was infected by a polyclonal strain. When all P. vivax samples were divided into 2 subpopulations (K=2) by STURCTURE analysis, 4 Hunan samples were classified into tropical genetic subpopulations (comprising strains from Ethiopia, Iran, Bhutan, Malaysia, Indonesia, and southern China). When the samples were divided into 4 subgroups by STURCTURE analysis (K=4), the 4 Hunan samples were classified as South Asian/Southeast Asian genetic subgroups (originating from Bhutan, Malaysia, Indonesia, and southern China). Conclusions The results of molecular tracing do not support that the 4 P. vivax strains in this outbreak originated from the population of central China. The technology of molecular tracing of P. vivax can provide objective evidence for determining the source of infection in malaria cases during the stage of malaria elimination and post-elimination.

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.

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.