Next Article in Journal
Beyond Antiretroviral Therapy: Molecular and Immunological Innovations in HIV Treatment
Next Article in Special Issue
Plasmodium falciparum Malaria and Arbovirus Co-Exposure in the Boende Health Zone, Northwestern Democratic Republic of the Congo
Previous Article in Journal
Brucella abortus Infection Promotes Mesenchymal Stem Cell Differentiation Toward Adipogenesis, Enhancing the Proinflammatory Profile
Previous Article in Special Issue
Alert for Imported Malaria in Non-Endemic Areas: A Case Report of Atypical Falciparum Malaria in a Young Child and Diagnostic Experience
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Application Strategy and Research Progress of Large-Scale Population Drug Intervention in Malaria Control

1
Artemisinin Research Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China
2
School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou 510006, China
*
Author to whom correspondence should be addressed.
Trop. Med. Infect. Dis. 2026, 11(5), 113; https://doi.org/10.3390/tropicalmed11050113
Submission received: 8 February 2026 / Revised: 13 April 2026 / Accepted: 23 April 2026 / Published: 25 April 2026
(This article belongs to the Special Issue Advances in Tools for Battling Malaria)

Abstract

Malaria is one of the major global public health issues. An estimated 282 million malaria cases occurred worldwide in 2024, and the overall prevention and control progress has stagnated or even reversed in some regions. Mass drug administration (MDA), as a potential strategy to accelerate malaria elimination, has regained attention. This paper reviews the evidence base, controversial focuses, and application strategies of MDA in malaria prevention and control. It aims to promote its scientific application in the elimination phase. MDA plays an important role in malaria prevention and control. However, this strategy is accompanied by core limitations such as long-term drug resistance risks, insufficient implementation sustainability, and a high failure rate of regional adaptation. It also faces challenges from multiple common malaria species, as well as the newly discovered Plasmodium knowlesi. We therefore propose an “MDA+” collaborative strategy integrating vaccines, digital monitoring, and cross-border cooperation, so as to optimize resource allocation, achieve full coverage control over various malaria parasites, and advance the global malaria elimination process.

1. Introduction

Malaria, as one of the core challenges in global public health, exhibits significant heterogeneity in its epidemiological patterns across different regions [1]. According to the World Malaria Report 2025 and related data, an estimated 282 million malaria cases were reported in 80 malaria-endemic countries worldwide in 2024. The number of malaria cases continues to rise, with sub-Saharan Africa bearing over 90% of the global burden of malaria cases and deaths. Meanwhile, some countries in Southeast Asia and South America face the complex situation of coexisting drug-resistant Plasmodium and resistant Anopheles mosquitoes. Among them, Nigeria (27%), the Democratic Republic of the Congo (12%), Uganda (5%), and Mozambique (4%) together account for nearly half of the global cases. In most of their rural areas, the annual entomological inoculation rate (EIR) has been consistently over 100, and the high transmission intensity makes it difficult for conventional vector control measures to work alone [2,3]. The gradual promotion of novel prevention and control tools, along with the achievements in elimination in certain regions, highlights the potential for control. However, the interplay of multiple threats poses severe challenges to the global elimination goal [4]. M. Barber [5] first reported the use of MDA for malaria control as early as 1932. Drugs such as chloroquine, primaquine, sulfadiazine, artemisinin, and ivermectin have subsequently been employed as part of antimalarial regimens. With the widespread use of chloroquine, MDA was incorporated into global malaria eradication programs but was subsequently marginalized due to the global spread of chloroquine resistance and implementation complexities [6]. In the 21st century, MDA, led by artemisinin-based combination therapies (ACTs), experienced a resurgence due to its high efficacy, good tolerability, and gametocidal activity. However, the path to recovery is still accompanied by unresolved scientific controversies and practical dilemmas. Failed cases such as long-term drug resistance evolution, epidemic resurgence, and the collapse of community compliance repeatedly warn that it is not a universal quick-fix solution [7,8]. A cluster randomized controlled trial in southern Tanzania [9] showed that MDA combined with long-lasting insecticidal nets (LLINs) reduced malaria incidence by 75% in high-transmission areas and significantly decreased subclinical infection loads. Maya Fraser et al. [10] used interrupted time series methods to analyze malaria incidence data in Zambia, evaluating the significant reduction in incidence rates of MDA in malaria-endemic and low-transmission areas. In Cambodia’s malaria elimination demonstration zone, MDA combined with active case detection successfully interrupted local transmission of Plasmodium falciparum (Pf) [11]. A meta-analysis demonstrated that MDA significantly impacts the incidence and prevalence of Plasmodium falciparum and Plasmodium vivax (Pv) infections [12], highlighting its critical role in malaria-endemic regions. However, failure cases are not uncommon. For instance, in an MDA implementation in a West African country, inadequate integration of local tribal cultural structures in community mobilization led to rumor dissemination and strong community resistance, resulting in actual medication coverage being below 30%―far below the 80% threshold required to interrupt transmission and failed to achieve the desired outcomes [13]. The root cause lies in the project team’s excessive reliance on the technical efficacy of medications while neglecting the social effectiveness of public health interventions, coupled with a lack of long-term community engagement and two-way communication mechanisms. The solution requires integrating traditional community leaders into the core decision-making and implementation processes. Additionally, logistical disruptions caused by weak health systems often prevent the timely delivery of medications to remote villages [14]. The core issue stems from the severe misalignment between the high demands of quasi-military operations like MDA and the low-level capabilities of routine healthcare systems. The solution involves leveraging technological and model innovations to overcome physical bottlenecks, thereby fundamentally advancing the integration and strengthening of supply chains. Meanwhile, the ACTs used by MDA degrade under tropical conditions, leading to inefficacy and reduced malaria resistance [15]. The root cause lies in short-sightedness regarding environmental constraints and the lack of fundamental predictions and response strategies for drug stability under tropical extreme climates. Improvements include the mandatory adoption of heat-resistant formulations with high stability specifically designed for tropical conditions, as well as the strategic pre-positioning of medications at regional centers prior to the rainy season. This study systematically reviews the historical context of MDA, focusing on regional disparities, lessons learned from failures, and cost-effectiveness in tropical areas. It evaluates safety ethics and drug resistance risks, explores its long-term uncertainties, sustainability deficiencies, and practical limitations, and ultimately proposes an “MDA+” integrated strategy framework for the elimination phase.

2. Literature Search Strategy

The literature was retrieved from PubMed, MEDLINE, Web of Science, and Sci-hub using the English keywords: malaria, severe malaria, mass drug administration, MDA, fMDA, tMDA, Plasmodium falciparum, Plasmodium vivax, drug resistance, cost-effectiveness, ethics, and implementation. The search was conducted using a combination of subject headings and free-text terms, with no restrictions on language or study design, covering the period from database inception to 1 September 2025. The inclusion criteria are as follows: (1) peer-reviewed original studies evaluating the efficacy, safety, ethical compliance, or cost-effectiveness of MDA, tMDA, and fMDA for malaria control; (2) systematic reviews and Meta-analyses related to the antimalarial strategies of MDA; and (3) operational reports issued by the World Health Organization that provide key data on MDA implementation in tropical regions. The exclusion criteria are: (1) literature with incomplete data or unvalidated research methods; (2) conference abstracts, editorials, and commentaries without original data; (3) duplicate publications; and (4) literature with unavailable full text.
The literature screening process was performed by two independent researchers, who first conducted an initial screening of titles and abstracts, followed by a full-text assessment of potentially eligible studies. In addition, the researchers manually searched the reference lists of included studies and relevant reviews to identify additional relevant research.

3. Core Research Dimensions of MDA Anti-Malaria Strategy

3.1. Historical Context and Theoretical Foundations of MDA

The WHO defines MDA as the provision of a complete antimalarial treatment course to the entire or most of a population in a defined geographic area in a synchronized manner, without relying on individual test results [2]. Compared with other strategies, MDA offers irreplaceable additional value and a clear complementary mechanism, which can effectively make up for the critical shortcomings of single intervention measures [16,17]. LLINs and IRS can block the mosquito-borne human transmission route, whereas MDA directly targets asexual and gametocyte malaria parasites in the entire human population [8]. In a cluster-randomized trial, the combination of MDA and LLINs reduced malaria incidence by more than 75%. Furthermore, the long-term implementation of MDA combined with other strategies in Comoros and São Tomé and Príncipe cut malaria incidence to zero deaths. In addition, current malaria vaccines show unsatisfactory efficacy and are only suitable for children; they induce protective immunity slowly and have almost no effect on asymptomatic infections. However, MDA can rapidly and prophylactically eliminate malaria parasites before the vaccine immunity takes effect, achieving full population coverage and thus providing crucial complementary value. The integrated strategy of MDA plus vaccines can achieve the dual effects of rapid parasite clearance and the establishment of long-term immune barriers. MDA is also an intervention capable of systematically eliminating asymptomatic carriers, who are the source of residual malaria transmission. It can quickly contain outbreaks in emergency scenarios, a capability that slow-acting vaccines and lagging vector control measures cannot provide. Simultaneously, artemisinin-based treatment regimens have excellent thermal stability, enabling MDA to be implemented in tropical regions with weak health systems and no cold chain infrastructure, breaking through the distribution barriers faced by vaccines and complex vector control tools. In the 1950s, the WHO’s Global Malaria Eradication Program (GMEP) primarily relied on DDT indoor residual spraying (IRS) [18]. Various countries and research institutions attempted to use MDA as a rapid-acting eradication tool. But early attempts, such as the Garki project in Nigeria [19], demonstrated that MDA alone was ineffective under conditions of high basic reproduction numbers and insufficient coverage or persistence. Moreover, decades of subsequent practice have repeatedly confirmed that MDA is highly prone to transmission resurgence in the absence of a supporting prevention and control system, and the sustainability of single interventions is extremely poor, further solidifying the WHO’s cautious and even negative stance toward MDA over the following decades.

3.2. Regional Variations in MDA Implementation in Tropical Regions

The implementation of MDA in tropical regions is not static but is profoundly influenced by local epidemiology, socio-cultural factors, and health systems, exhibiting significant regional heterogeneity [20] (Table 1). In high-transmission areas, predominantly in sub-Saharan Africa, dual challenges of resource constraints and adherence issues prevail, with MDA often employed as an emergency measure to suppress outbreaks. However, the implementation failure rate remains persistently high, which has become the core shortcoming of applying this strategy in high-transmission areas. In low-transmission areas of the Greater Mekong Subregion (GMS), challenges of drug resistance and mobile populations emerge [21]. The GMS region has entered the elimination phase, where MDA primarily manifests as targeted mass drug administration (tMDA) for high-risk populations and focal mass drug administration (fMDA) targeting focal points. The primary challenge lies in the high prevalence of artemisinin and combination drug resistance, which limits drug options. Another major obstacle is the cross-border mobile population, characterized by high mobility, poor traceability, and extremely low medication adherence, creating elimination blind spots [22]. Additionally, in tropical regions of South America [23], severe ecological and cross-border transmission challenges, along with unique environmental conditions that complicate Anopheles mosquito control, often constrain MDA implementation due to complex cross-border population movements and low political commitment. In some areas, the lack of sustained financial support leads to intermittent MDA programs, making it difficult to consolidate achievements. While there are successful experiences in Tanzania, Zambia, China, and other places [24], the failure of the above-mentioned tropical indigenous cases and the controversial evidence suggest that MDA may struggle to achieve its intended outcomes if it ignores the influence of factors such as socio-cultural background and health system capacity.

3.3. Key Implementation Factors and Cost-Effectiveness

The implementation of MDA has achieved remarkable results in significantly reducing the incidence of malaria, and its success relies on standardized procedures, community participation, and precise cost control [25]. Firstly, community mobilization is the cornerstone. Given the multilingual and multicultural characteristics of tropical regions, it is essential to conduct culturally adapted health education through local health workers and establish a transparent feedback mechanism [26]. It is necessary to popularize the purpose of MDA, the function of drugs, and precautions among the population, and establish a community feedback mechanism to enhance trust. The issue of cost-effectiveness is one of the core controversies regarding the value of MDA [27]. In high-transmission areas, the short-term epidemic suppression value of MDA may offset its costs. For example, in São Tomé and Príncipe, an African country that implemented the MDA strategy, the median direct economic burden of outpatient services decreased from approximately $8.74 to $5.33, the median indirect economic burden decreased from approximately $54.97 to $32.34, the median overall economic burden decreased from approximately $76.75 to $38.80, and the total number of workdays lost by patients and their relatives decreased by 5 days [28]. In addition, in the Comoros, another African country that implemented the MDA strategy, the national direct economic burden per case decreased from $17.97 to $17.68, the indirect economic burden (estimated based on household monthly income) decreased from $7.25 to $6.15, the total economic burden decreased from $24.16 to $22.25, the national overall economic burden of malaria decreased from $475,517.12 to $101,148.50 (a decrease of 78.73%), and the overall economic burden of malaria on Grande Comore decreased from $469,984.48 to $99,568.75 (a decrease of 78.81%) [29]. In low-transmission areas, although tMDA and fMDA are theoretically more cost-effective due to their clear targets, they increase the costs of screening and targeting. According to relevant research data (Table 2), in tropical low-income countries, the per capita cost of full-population MDA per treatment is approximately $4–8, while the per capita cost of tMDA, including screening, may rise to more than $15 [30], which poses a huge challenge to the health budgets of resource-poor countries. The compound artemisinin developed by China (often referred to as “Yue Te Kuai”) provides an example for solving the problem of drug distribution in tropical regions, and is often integrated with projects such as SMC to reduce costs and improve efficiency [31]. Addressing the widespread high-temperature environment of 35–45 °C and the lack of cold chain in Africa, “Yue Te Kuai” has strong thermal stability. Accelerated stability tests show that when stored for 6 months under conditions of 40 °C ± 2 °C and relative humidity of 75% ± 5%, the content of its main components, dihydroartemisinin and piperaquine, decreases by less than 3%, the increase in related substances meets international pharmacopeia standards, and there are no obvious changes in physical properties. In the short-term exposure test to extremely high temperatures of 50 °C (for 7 days) simulating extreme transportation conditions, its active ingredients remain stable with no significant degradation [32]. The specific process of its joint implementation with the African SMC project is as follows: after unified planning at the national level, “Yue Te Kuai” compound artemisinin is used as the MDA drug for people over 5 years old, and is distributed to grassroots levels before the rainy season using the existing logistics system of the SMC project. During the implementation of SMC, CHWs who have received dual training, while visiting households to administer SMC drugs to children under 5 years old, simultaneously distribute and guide the full-course administration of “Yue Te Kuai” to members over 5 years old in the family, achieving an integrated intervention of “one household visit, full family coverage”, and unified monitoring and recording are carried out [33]. In practices in countries such as Nigeria, the “Yue Tekuai” MDA project is often integrated with the existing logistics channels of SMC, using SMC’s distribution network to administer drugs to the entire population before the peak of the rainy season, sharing community distributors, which significantly reduces implementation costs and improves coverage. The coverage rate has reached 85% and above in countries such as Mali, Guinea, and the Comoros.

3.4. The Balance Between Security and Ethical Management

Safety and ethics are the core cornerstones for the sustainable advancement of MDA [43,44]. The key lies in constructing a full-process guarantee system through precise risk prevention and control, as well as inclusive ethical practices. Firstly, chloroquine, as a core drug in early MDA, has safety controversies mainly focused on the cumulative toxicity of long-term use: the safety risks of sulfadoxine–pyrimethamine combination preparations are mainly allergic reactions and blood system abnormalities; the core safety hazard of primaquine is hemolytic reactions; ACTs have overall good tolerance, with common adverse reactions being nausea and diarrhea; and the main adverse reactions of ivermectin are neurological reactions and gastrointestinal discomfort. In addition, during the anti-malarial process of artemisinin-based drugs [45], the team has built a full-cycle protection system based on the pharmacological properties of artemisinin-based drugs, the distribution of Glucose-6-phosphate dehydrogenase (G6PD) genotypes, and population baseline health data such as the spectrum of underlying diseases. Furthermore, MDA mostly targets blood-stage parasites and fails to eradicate Pv liver-stage hypnozoites, but the addition of 8-aminoquinoline drugs conflicts with the risk of hemolysis in G6PD deficiency, making MDA in Pv situations more complex [46,47]. Thus, individualized adaptations are implemented for special groups such as children, pregnant women, and the elderly. For children, easy-to-take formulations such as artemisinin-based dispersible tablets and suspensions are used, with precise dosage based on body weight. Pregnant women should receive priority use of pregnancy category B artemisinin combination preparations. When primaquine is used in combination, hemolysis risks are avoided through G6PD-stratified screening or low-dose initiation mode [48]. Secondly, the ethical controversies of MDA focus on the conflict between individual autonomy and public health interests, especially the ethical considerations of requiring non-infected individuals to take drugs in tropical low-transmission areas [49,50]. This controversy is not merely a matter of superficial informed consent but involves the alienation of individuals’ right to health caused by public health interventions, and its ethical legitimacy in low-prevalence areas has not yet been universally recognized by the academic community. This study summarizes the ethically acceptable practical requirements for MDA as follows: (1) base it on solid evidence of public health necessity; (2) ensure that the community is fully informed and that collective or individual informed consent is obtained as much as possible; (3) establish an adverse reaction monitoring and compensation mechanism; and (4) guarantee the right to withdraw. Successful MDA projects all place community participation at the core, transforming it from an intervention implemented on the community to an intervention implemented together with the community.

3.5. Regional Analysis of Drug Resistance Risks in Tropical Regions

The relationship between MDA and drug resistance is complex, and irregular drug use is the main driving factor [51,52]. In tropical regions, the risk of drug resistance exhibits significant regional disparities, necessitating precise interventions (Table 3) [53,54,55]. The GMS serves as the epicenter of multidrug resistance worldwide [56,57]. The mutation rate of the Plasmodium falciparum Kelch13 (PfK13) gene exceeds 50% in certain hotspot areas, often coexisting with pyromethamine resistance markers [58]. Implementing MDA in this region must rely on the latest molecular surveillance data, avoiding the use of ACT combinations that have developed severe resistance, and instead opting for alternatives such as mefloquine-artesunate or pyronaridine-artemisinin. Although sub-Saharan Africa as a whole maintains relatively good sensitivity to ACTs, PfK13 mutations (e.g., R561H, P574L) have been independently detected in recent years in Rwanda, Uganda, and other regions, with mutation rates in some areas approaching the 5–10% warning threshold [59]. Additionally, drug resistance has emerged in other regions, and there is considerable debate among scholars regarding the mechanisms of resistance development [60,61]. Although widespread clinical treatment failure has not yet occurred, large-scale MDA may exert selective pressure. Therefore, strict molecular marker surveillance must be conducted before and after MDA implementation, in accordance with the WHO malaria guidelines.

3.6. Limitations and Countermeasures for the Implementation of MDA in Tropical Regions

Despite the considerable potential of MDA to rapidly reduce disease burden, its practical application in tropical regions remains constrained by several limitations (Table 4) [67,68,69,70,71]. (1) High resource dependence and limited long-term sustainability: In high-prevalence areas, discontinuation of MDA may be linked to a relatively rapid rebound in disease outbreaks, especially where strong vector control systems and reliable health system support are lacking. (2) Community fatigue and declining treatment compliance: In regions requiring multiple rounds of medication, as perceived local disease risk diminishes, medication adherence tends to drop noticeably, with this pattern particularly evident among adult males. (3) Asymptomatic infections and under-detection: Even following high-coverage MDA, individuals with low-density asymptomatic parasitemia may go undetected, potentially acting as residual sources for renewed malaria transmission. (4) Long-term ethical and resistance risks: Ethical controversies surrounding MDA use in healthy populations and the potential risk of accelerating drug resistance persist. The targeted solution can be summarized as implementing an “MDA + seasonal prophylaxis” combination in high-transmission areas to rapidly reduce malaria incidence and improve cost-effectiveness and efficiency. Additionally, in low-transmission areas, “precision screening + targeted intervention” is adopted to avoid community resistance and enhance prevention and control efficacy.

3.7. Synergistic Effects with Integrated Prevention and Control Systems

A variety of evidence-based interventions have been validated to reduce malaria incidence across different transmission settings [72]. LLINs and IRS, as core vector control tools, reduce malaria incidence by 40–50% and 30–40%, respectively, by blocking mosquito-to-human transmission. Malaria vaccines RTS, S/AS01, and R21/Matrix-M achieve a 75% incidence reduction when deployed seasonally and 39–67% under routine administration but are limited to children under 5 years old and require 4–6 weeks to induce protective immunity. SMC reduces clinical malaria incidence by 50–71% in highly seasonal transmission regions but only targets young children. In contrast to other interventions, MDA demonstrates unique and context-adaptable efficacy in reducing malaria incidence and interrupting transmission. MDA has low costs and minimal coverage difficulties and also imposes low requirements on health workers. Currently, the efficacy of malaria vaccines is only 30–40%; vaccines are expensive, have high requirements for health workers during administration, and are difficult to store. In several empirical studies, we have also found that vaccines are relatively beneficial only among children, whereas MDA can substantially reduce the prevalence across entire communities, especially among high-risk individuals aged 18–45. MDA requires deep integration and synergistic efforts with the IPC system. Combined with vector control LLINs and IRS, which provide sustained transmission barriers, this approach can significantly prolong protective effects and prevent reinfection after MDA [73]. When synergized with highly sensitive diagnostic technologies, such as ultra-sensitive RDT or nucleic acid testing, it can compensate for the shortcomings of conventional RDT in detecting low-density infections, thereby enhancing the accuracy of tMDA [74,75]. Collaborative efforts with cross-border governance, including synchronized MDA in border areas, coupled with information sharing and joint vector control, are crucial for interrupting imported transmission and consolidating elimination achievements [76].

3.8. Future Strategy of MDA+

Malaria remains one of the most significant global public health challenges [77], with alarmingly high prevalence in several African countries. The resurgence of malaria in nations like the Comoros has created substantial pressure [78]. The future of MDA lies in evolving into a precision-driven, dynamic “MDA+” integrated strategy. “MDA+” adheres to the core principles of data-driven decision-making, multi-tool collaboration, full-process closed-loop management, and long-term sustainability [79]. It dynamically adjusts medication regimens based on drug resistance surveillance, integrates innovative vector control, single-dose radical cure drugs, and malaria vaccines to establish a dual defense line of immune protection and parasite elimination. Combined with precision diagnosis and treatment, it enhances drug resistance early warning, focuses on community participation, financing mechanisms, and health system capacity, forming a complete operational system [80]. The implementation framework consists of four steps: (1) precise analysis and customized planning, including stratification and zoning based on baseline surveys and drug resistance surveillance, optimized drug selection, and completion of health education and ethical safeguards; (2) stratified and precise drug administration, with MDA+SMC+LLINs used in high-transmission areas, tMDA/fMDA combined with active case detection in low-transmission areas, and individualized dosing for special populations; (3) full-process dynamic monitoring, using digital platforms to track prevention and control indicators, monitor drug resistance genes, and manage medication adherence; and (4) consolidation of elimination and long-term prevention and control, combining vaccines, vector control, and cross-border collaboration to block imported transmission and sustain malaria elimination achievements.
MDA+ has been implemented and verified in multiple countries [81,82,83,84,85]: Comoros has adopted heat-resistant artemisinin combined with vector control, achieving a more than 90% reduction in malaria cases in high-transmission areas and interrupting local transmission; Nigeria has carried out MDA by integrating SMC networks, attaining low-cost and high coverage with a 75% drop in incidence; Cambodia has implemented fMDA relying on digital surveillance and drug resistance management, successfully blocking falciparum malaria transmission in low-transmission areas; and Tanzania has rapidly suppressed the epidemic through MDA combined with LLINs, leading to a 75% decrease in case incidence. MDA+ can strengthen drug resistance early warning in coordination with precise diagnosis and treatment, and further research is needed on deepening community participation, financing, and adaptation of health systems. This strategy is still in the exploratory stage, and more empirical studies are required to improve its synergistic combinations, long-term prevention and control effects, and large-scale sustainability.

4. Summary

Despite challenges such as localized situation reversals, drug resistance, and implementation difficulties, MDA remains a critical option in the malaria elimination toolkit for tropical regions. The rational application of MDA depends on transmission intensity, health system capacity, resource availability, and community acceptance. The key to the future lies in acknowledging its limitations and adopting tailored “MDA+” precision and integration strategies, MDA+ vaccine, upgraded MDA+ vector control, and MDA+ digital compliance tools to enhance medication supervision efficiency and improve overall prevention and control resilience, particularly in high-prevalence areas like Africa, where more attention should be paid to implementation research based on local socio-cultural contexts to optimize interventions and delay drug resistance emergence. Furthermore, the development of drug resistance is multifaceted, necessitating a combination of multiple strategies to prevent or delay its occurrence. We must proactively address future malaria control approaches, enhance targeted research on antimalarial drugs, improve the efficacy of malaria vaccines, and strengthen efforts to eliminate the impact of all malaria species and the recently described Plasmodium knowlesi, with a view to achieving the goal of complete malaria eradication [86,87].

Author Contributions

C.D. and G.L. conceived and designed the study. Z.C. and Y.G. performed the main source collection and analyses under the supervision of C.D. Z.C. wrote the draft of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This project is funded by the National Key R&D Program of the Ministry of Science and Technology of China, with the project number 2024YFC2310902.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Summary of the literature data reports.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Yang, G.; He, A.; Qin, Y.; Yang, J.; Wang, J. Analysis and prediction of global malaria disease burden trends from 1990 to 2035. Chin. J. Parasitol. Parasit. Dis. 2025, 43, 526–532. [Google Scholar]
  2. World Health Organization. World Malaria Report 2025: Addressing the Threat of Antimalarial Drug Resistance; World Health Organization: Geneva, Switzerland, 2025. [Google Scholar]
  3. Kondrashin, A.V. Malaria in the WHO Southeast Asia region. Indian J. Malariol. 1992, 29, 129–160. [Google Scholar]
  4. Hemingway, J.; Shretta, R.; Wells, T.N.; Bell, D.; Djimde, A.A.; Achee, N.; Qi, G. Tools and Strategies for Malaria Control and Elimination: What Do We Need to Achieve a Grand Convergence in Malaria? PLoS Biol. 2016, 14, e1002380. [Google Scholar] [CrossRef]
  5. Barber, M.A.; Rice, J.B.; Brown, J.Y. Malaria Studies on the Firestone Rubber Plantation in Liberia, West Africa. Am. J. Epidemiol. 1932, 15, 601–633. [Google Scholar] [CrossRef]
  6. Coatney, G. Pitfalls in a Discovery: The Chronicle of Chloroquine. Am. J. Trop. Med. Hyg. 1963, 12, 121–128. [Google Scholar] [CrossRef] [PubMed]
  7. Mendis, K. Mass drug administration should be implemented as a tool to accelerate elimination: Against. Malar. J. 2019, 18, 279. [Google Scholar] [CrossRef]
  8. Eisele, T.P. Mass drug administration can be a valuable addition to the malaria elimination toolbox. Malar. J. 2019, 18, 281. [Google Scholar] [CrossRef]
  9. Wang, D.Q.; Chaki, P.; Mlacha, Y.; Gavana, T.; Michael, M.G.; Khatibu, R.; Feng, J.; Zhou, Z.B.; Lin, K.M.; Xia, S.; et al. Application of community-based and integrated strategy to reduce malaria disease burden in southern Tanzania: The study protocol of China-UK-Tanzania pilot project on malaria control. Infect. Dis. Poverty 2019, 8, 4. [Google Scholar] [CrossRef] [PubMed]
  10. Fraser, M.; Miller, J.M.; Silumbe, K.; Hainsworth, M.; Mudenda, M.; Hamainza, B.; Moonga, H.; Chizema Kawesha, E.; Mercer, L.D.; Bennett, A.; et al. Evaluating the Impact of Programmatic Mass Drug Administration for Malaria in Zambia Using Routine Incidence Data. J. Infect. Dis. 2022, 225, 1415–1423. [Google Scholar] [CrossRef]
  11. Lek, D.; Callery, J.J.; Nguon, C.; Debackere, M.; Sovannaroth, S.; Tripura, R.; Wojnarski, M.; Piola, P.; Khean, S.T.; Manion, K.; et al. Tools to accelerate falciparum malaria elimination in Cambodia: A meeting report. Malar. J. 2020, 19, 151. [Google Scholar] [CrossRef]
  12. Schneider, Z.D.; Shah, M.P.; Boily, M.C.; Busbee, A.L.; Hwang, J.; Lindblade, K.A.; Gutman, J.R. Mass Drug Administration to Reduce Malaria Transmission: A Systematic Review and Meta-Analysis. Am. J. Trop. Med. Hyg. 2024, 110, 17–29. [Google Scholar] [CrossRef]
  13. Sangare, M.; Diabate, A.F.; Coulibaly, Y.I.; Tanapo, D.; Thera, S.O.; Dolo, H.; Dicko, I.; Coulibaly, O.; Sall, B.; Dolo, H.; et al. Understanding the barriers and facilitators related to never treatment during mass drug administration among mobile and migrant populations in Mali: A qualitative exploratory study. BMJ Glob. Health 2024, 9, e015671. [Google Scholar] [CrossRef]
  14. Han, K.T.; Wai, K.T.; Oo, T.; Thi, A.; Han, Z.; Aye, D.K.H.; Win, A.Y.N.; Prachumsri, J. Access to primaquine in the last mile: Challenges at the service delivery points in pre-elimination era, Myanmar. Trop. Med. Health 2018, 46, 32. [Google Scholar] [CrossRef] [PubMed]
  15. Hall, Z.; Allan, E.L.; Van Schalkwyk, D.A.; van Wyk, A.; Kaur, H. Degradation of Artemisinin-Based Combination Therapies Under Tropical Conditions. Am. J. Trop. Med. Hyg. 2016, 94, 993–1001. [Google Scholar] [CrossRef] [PubMed]
  16. World Health Organization (WHO). Mass drug administration, mass screening and treatment and focal screening and treatment for malaria. In WHO Evidence Review Group Meeting Report; World Health Organization (WHO): Geneva, Switzerland, 2015. [Google Scholar]
  17. White, N.J.; Mehra, S.; Watson, J.A. Does mass chloroquine treatment have any role in the elimination of Plasmodium vivax? Malar. J. 2025, 24, 166. [Google Scholar] [CrossRef] [PubMed]
  18. Lindblade, K.A.; Li, X.H.; Galappaththy, G.L.; Noor, A.; Kolaczinski, J.; Alonso, P.L. Country-Owned, Country-Driven: Perspectives from the World Health Organization on Malaria Elimination. Methods Mol. Biol. 2019, 2013, 3–27. [Google Scholar]
  19. Molineaux, L.; Gramiccia, G. Garki Project: Research on the Epidemiology and Control of Malaria in the Sudan Savanna of West Africa; World Health Organization: Geneva, Switzerland, 1980. [Google Scholar]
  20. Chouaïd, A.; Louart, S.; Faye, A.; Ba, E.H.; Landier, J.; Ridde, V. Community engagement in mass drug administration participatory interventions: A scoping review. PLoS Negl. Trop. Dis. 2025, 19, E0013737. [Google Scholar] [CrossRef]
  21. Manzoni, G.; Try, R.; Guintran, J.O.; Jucht, C.C.; Jacoby, E.; Sovannaroth, S.; Zhang, Z.; Banouvong, V.; Shortus, M.S.; Reyburn, R.; et al. Progress towards malaria elimination in the Greater Mekong Subregion: Perspectives from the World Health Organization. Malar. J. 2024, 23, 64. [Google Scholar] [CrossRef]
  22. D’Alessandro, U.; Buttiëns, H. History and importance of antimalarial drug resistance. Trop. Med. Int. Health 2001, 6, 845–848. [Google Scholar] [CrossRef]
  23. Ferreira, M.U.; Gamboa, D.; Torres, K.; Rodriguez-Ferrucci, H.; Soto-Calle, V.E.; Pardo, K.; Fontoura, P.S.; Tomko, S.S.; Gazzinelli, R.T.; Conn, J.E.; et al. Evidence-Based Malaria Control and Elimination in the Amazon: Input from the International Center of Excellence in Malaria Research Network in Peru and Brazil. Am. J. Trop. Med. Hyg. 2022, 107, 160–167. [Google Scholar] [CrossRef]
  24. Huang, F.; Feng, X.Y.; Zhou, S.S.; Tang, L.H.; Xia, Z.G. Establishing and applying an adaptive strategy and approach to eliminating malaria: Practice and lessons learnt from China from 2011 to 2020. Emerg. Microbes Infect. 2022, 11, 314–325. [Google Scholar] [CrossRef]
  25. Delandre, O.; Pradines, B.; Javelle, E. Dihydroartemisinin-Piperaquine Combination in the Treatment of Uncomplicated Plasmodium falciparum Malaria: Update on Clinical Failures in Africa and Tools for Surveillance. J. Clin. Med. 2024, 13, 6828. [Google Scholar] [CrossRef] [PubMed]
  26. Imwong, M.; Suwannasin, K.; Kunasol, C.; Sutawong, K.; Mayxay, M.; Rekol, H.; Smithuis, F.M.; Hlaing, T.M.; Tun, K.M.; van der Pluijm, R.W.; et al. The spread of artemisinin-resistant Plasmodium falciparum in the Greater Mekong subregion: A molecular epidemiology observational study. Lancet Infect. Dis. 2017, 17, 491–497. [Google Scholar] [CrossRef] [PubMed]
  27. Rolfe, R.J.; Shaikh, H.; Tillekeratne, L.G. Mass drug administration of antibacterials: Weighing the evidence regarding benefits and risks. Infect. Dis. Poverty 2022, 11, 77. [Google Scholar] [CrossRef]
  28. Wang, Y.X. Study on the Impact of MDA on the Economic Burden of Malaria in Shengpu Malariagenesis Village. Master’s Thesis, Guangzhou University of Chinese Medicine, Guangzhou, China, 2023. [Google Scholar] [CrossRef]
  29. Zhou, X. Economic Burden of Malaria Among Residents of Grand Comoros Island Under the Background of Universal Medication. Master’s Thesis, Guangzhou University of Chinese Medicine, Guangzhou, China, 2024. [Google Scholar] [CrossRef]
  30. Peto, T.J.; Tripura, R.; Sanann, N.; Adhikari, B.; Callery, J.; Droogleever, M.; Heng, C.; Cheah, P.Y.; Davoeung, C.; Nguon, C.; et al. The feasibility and acceptability of mass drug administration for malaria in Cambodia: A mixed-methods study. Trans. R. Soc. Trop. Med. Hyg. 2018, 112, 264–271. [Google Scholar] [CrossRef]
  31. Kyaw, S.S.; Delmas, G.; Drake, T.L.; Celhay, O.; Pan-Ngum, W.; Pukrittayakamee, S.; Lubell, Y.; Aguas, R.J.; Maude, R.J.; White, L.J.; et al. Estimating the programmatic cost of targeted mass drug administration for malaria in Myanmar. BMC Public Health 2021, 21, 826. [Google Scholar] [CrossRef] [PubMed]
  32. Deng, C.; Wu, W.; Yuan, Y.; Li, G.; Zhang, H.; Zheng, S.; Li, M.; Tan, R.; Wang, Y.; Nadia, J.; et al. Malaria Control by Mass Drug Administration with Artemisinin Plus Piperaquine on Grande Comore Island, Union of Comoros. Open Forum Infect. Dis. 2023, 10, ofad076. [Google Scholar] [CrossRef]
  33. Sondo, P.; Tahita, M.C.; Ilboudo, H.; Rouamba, T.; Derra, K.; Tougri, G.; Ouédraogo, F.; Konseibo, B.M.A.; Roamba, E.; Otienoburu, S.D.; et al. Boosting the impact of seasonal malaria chemoprevention (SMC) through simultaneous screening and treatment of household members of children receiving SMC in Burkina Faso: A protocol for a randomized open label trial. Arch. Public Health 2022, 80, 41. [Google Scholar] [CrossRef]
  34. Galactionova, K.; Velarde, M.; Silumbe, K.; Miller, J.; McDonnell, A.; Aguas, R.; Smith, T.A.; Penny, M.A. Costing malaria interventions from pilots to elimination programmes. Malar. J. 2020, 19, 332. [Google Scholar] [CrossRef]
  35. Aung, P.L.; Soe, M.T.; Soe, T.N.; Zhao, Y.; Cao, Y.; Aung, P.P.; Oo, T.L.; Lawpoolsri, S.; Nguitragool, W.; Sattabongkot, J.; et al. Efficacy of Focal Primaquine Mass Administration for Eliminating Plasmodium vivax Malaria in Northern Myanmar: A Cluster-Randomized Trial. Open Forum Infect. Dis. 2025, 12, ofaf465. [Google Scholar] [CrossRef]
  36. Yukich, J.O.; Scott, C.; Silumbe, K.; Larson, B.A.; Bennett, A.; Finn, T.P.; Hamainza, B.; Conner, R.O.; Porter, T.R.; Keating, J.; et al. Cost-Effectiveness of Focal Mass Drug Administration and Mass Drug Administration with Dihydroartemisinin-Piperaquine for Malaria Prevention in Southern Province, Zambia: Results of a Community-Randomized Controlled Trial. Am. J. Trop. Med. Hyg. 2020, 103, 46–53. [Google Scholar] [CrossRef]
  37. Cirera, L.; Galatas, B.; Alonso, S.; Paaijmans, K.; Mamuquele, M.; Martí-Soler, H.; Guinovart, C.; Munguambe, H.; Luis, F.; Nhantumbo, H.; et al. Moving towards malaria elimination in southern Mozambique: Cost and cost-effectiveness of mass drug administration combined with intensified malaria control. PLoS ONE 2020, 15, E0235631. [Google Scholar] [CrossRef] [PubMed]
  38. Shretta, R.; Avanceña, A.L.; Hatefi, A. The economics of malaria control and elimination: A systematic review. Malar. J. 2016, 15, 593. [Google Scholar] [CrossRef]
  39. Gilmartin, C.; Nonvignon, J.; Cairns, M.; Milligan, P.; Bocoum, F.; Winskill, P.; Moroso, D.; Collins, D. Seasonal malaria chemoprevention in the Sahel subregion of Africa: A cost-effectiveness and cost-savings analysis. Lancet Glob. Health 2021, 9, e199–e208. [Google Scholar] [CrossRef]
  40. Owusu, R.; Gilmartin, C.; Diawara, H.; Bocoum, F.; Ndiaye, O.; Ruisch, A.; Aryeetey, G.C.; Jainie, D.; Kokovena, M.; Walker, D.; et al. Estimating the opportunity cost of seasonal malaria chemoprevention implementation in Burkina Faso, Mali and Senegal. BMJ Glob. Health 2025, 10, e018042. [Google Scholar] [CrossRef] [PubMed]
  41. Diawara, H.; Walker, P.; Cairns, M.; Steinhardt, L.C.; Diawara, F.; Kamate, B.; Duval, L.; Sicuri, E.; Sagara, I.; Sadou, A.; et al. Cost-effectiveness of district-wide seasonal malaria chemoprevention when implemented through routine malaria control programme in Kita, Mali using fixed point distribution. Malar. J. 2021, 20, 128. [Google Scholar] [CrossRef] [PubMed]
  42. Tripura, R.; Peto, T.J.; Chea, N.; Chan, D.; Mukaka, M.; Sirithiranont, P.; Dhorda, M.; Promnarate, C.; Imwong, M.; von Seidlein, L.; et al. A Controlled Trial of Mass Drug Administration to Interrupt Transmission of Multidrug-Resistant Falciparum Malaria in Cambodian Villages. Clin. Infect. Dis. 2018, 67, 817–826. [Google Scholar] [CrossRef]
  43. Cheah, P.Y.; White, N.J. Antimalarial mass drug administration: Ethical considerations. Int. Health 2016, 8, 235–238. [Google Scholar] [CrossRef] [PubMed]
  44. Vilakati, S.; Mngadi, N.; Benjamin-Chung, J.; Dlamini, N.; Dufour, M.K.; Whittemore, B.; Bhangu, K.; Prach, L.M.; Baltzell, K.; Nhlabathi, N.; et al. Effectiveness and safety of reactive focal mass drug administration (rfMDA) using dihydroartemisinin-piperaquine to reduce malaria transmission in the very low-endemic setting of Eswatini: A pragmatic cluster randomised controlled trial. BMJ Glob. Health 2021, 6, e005021. [Google Scholar] [CrossRef]
  45. Deng, C.; Huang, B.; Wang, Q.; Wu, W.; Zheng, S.; Zhang, H.; Li, D.; Feng, D.; Li, G.; Xue, L.; et al. Large-scale Artemisinin-Piperaquine Mass Drug Administration with or Without Primaquine Dramatically Reduces Malaria in a Highly Endemic Region of Africa. Clin. Infect. Dis. 2018, 67, 1670–1676. [Google Scholar] [CrossRef]
  46. Uthman, O.A.; Graves, P.M.; Saunders, R.; Gelband, H.; Richardson, M.; Garner, P. Safety of primaquine given to people with G6PD deficiency: Systematic review of prospective studies. Malar. J. 2017, 16, 346. [Google Scholar] [CrossRef]
  47. Adissu, W.; Brito, M.; Garbin, E.; Macedo, M.; Monteiro, W.; Mukherjee, S.K.; Myburg, J.; Alam, M.S.; Bancone, G.; Bansil, P.; et al. Clinical performance validation of the STANDARD G6PD test: A multi-country pooled analysis. PLoS Negl. Trop. Dis. 2023, 17, e0011652. [Google Scholar] [CrossRef] [PubMed]
  48. Poirot, E.; Skarbinski, J.; Sinclair, D.; Kachur, S.P.; Slutsker, L.; Hwang, J. Mass drug administration for malaria. Cochrane Database Syst. Rev. 2013, 2013, Cd008846. [Google Scholar] [CrossRef]
  49. Jamrozik, E.; De La Fuente-Núñez, V.; Reis, A.; Ringwald, P.; Selgelid, M.J. Ethical aspects of malaria control and research. Malar. J. 2015, 14, 518. [Google Scholar] [CrossRef]
  50. Kondrashin, A.; Baranova, A.M.; Ashley, E.A.; Recht, J.; White, N.J.; Sergiev, V.P. Mass primaquine treatment to eliminate vivax malaria: Lessons from the past. Malar. J. 2014, 13, 51. [Google Scholar] [CrossRef]
  51. World Health Organization. WHO Guidelines for Malaria, 30 November 2024; World Health Organization: Geneva, Switzerland, 2024. [Google Scholar]
  52. World Health Organization, Regional Office for the Eastern Mediterranean. Antimicrobial Resistance and Malaria; World Health Organization, Regional Office for the Eastern Mediterranean: Cairo, Egypt, 2024. [Google Scholar]
  53. Uwimana, A.; Legrand, E.; Stokes, B.H.; Ndikumana, J.L.M.; Warsame, M.; Umulisa, N.; Ngamije, D.; Munyaneza, T.; Mazarati, J.B.; Munguti, K.; et al. Emergence and clonal expansion of in vitro artemisinin-resistant Plasmodium falciparum kelch13 R561H mutant parasites in Rwanda. Nat. Med. 2020, 26, 1602–1608. [Google Scholar] [CrossRef]
  54. Balikagala, B.; Fukuda, N.; Ikeda, M.; Katuro, O.T.; Tachibana, S.I.; Yamauchi, M.; Opio, W.; Emoto, S.; Anywar, D.A.; Kimura, E.; et al. Evidence of Artemisinin-Resistant Malaria in Africa. N. Engl. J. Med. 2021, 385, 1163–1171. [Google Scholar] [CrossRef] [PubMed]
  55. Florimond, C.; De Laval, F.; Early, A.M.; Sauthier, S.; Lazrek, Y.; Pelleau, S.; Monteiro, W.M.; Agranier, M.; Taudon, N.; Morin, F.; et al. Impact of piperaquine resistance in Plasmodium falciparum on malaria treatment effectiveness in The Guianas: A descriptive epidemiological study. Lancet Infect. Dis. 2024, 24, 161–171. [Google Scholar] [CrossRef]
  56. Bhumiratana, A.; Intarapuk, A.; Sorosjinda-Nunthawarasilp, P.; Maneekan, P.; Koyadun, S. Border malaria associated with multidrug resistance on Thailand-Myanmar and Thailand-Cambodia borders: Transmission dynamic, vulnerability, and surveillance. BioMed Res. Int. 2013, 2013, 363417. [Google Scholar] [CrossRef] [PubMed]
  57. Nayak, S.; Peto, T.J.; Kucharski, M.; Tripura, R.; Callery, J.J.; Huy, D.T.Q.; Gendrot, M.; Lek, D.; Nghia, H.D.T.; Pluijm Rob, W.V.D.; et al. Population genomics and transcriptomics of Plasmodium falciparum in Cambodia and Vietnam uncover key components of the artemisinin resistance genetic background. Nat. Commun. 2024, 15, 10625. [Google Scholar] [CrossRef]
  58. Fidock, D.A.; Nomura, T.; Talley, A.K.; Cooper, R.A.; Dzekunov, S.M.; Ferdig, M.T.; Ursos, L.M.; Sidhu, A.B.; Naudé, B.; Deitsch, K.W.; et al. Mutations in the P. falciparum digestive vacuole transmembrane protein PfCRT and evidence for their role in chloroquine resistance. Mol. Cell 2000, 6, 861–871. [Google Scholar] [CrossRef]
  59. Ariey, F.; Witkowski, B.; Amaratunga, C.; Beghain, J.; Langlois, A.C.; Khim, N.; Kim, S.; Duru, V.; Bouchier, C.; Ma, L.; et al. A molecular marker of artemisinin-resistant Plasmodium falciparum malaria. Nature 2014, 505, 50–55. [Google Scholar] [CrossRef]
  60. Stokes, B.H.; Ward, K.E.; Fidock, D.A. Evidence of Artemisinin-Resistant Malaria in Africa. N. Engl. J. Med. 2022, 386, 1385–1386. [Google Scholar]
  61. Nguyen, T.D.; Tran, T.N.; Parker, D.M.; White, N.J.; Boni, M.F. Antimalarial mass drug administration in large populations and the evolution of drug resistance. PLoS Glob. Public Health 2023, 3, e0002200. [Google Scholar] [CrossRef]
  62. Pribluda, V.S.; Evans, L., 3rd; Barillas, E.; Marmion, J.; Lukulay, P.; Chang, J. Were medicine quality and pharmaceutical management contributing factors in diminishing artemisinin efficacy in Guyana and Suriname? Malar. J. 2014, 13, 77. [Google Scholar] [CrossRef] [PubMed]
  63. Moss, S.; Mańko, E.; Krishna, S.; Campino, S.; Clark, T.G.; Last, A. How has mass drug administration with dihydroartemisinin-piperaquine impacted molecular markers of drug resistance? A systematic review. Malar. J. 2022, 21, 186. [Google Scholar] [CrossRef]
  64. Siddiqui, F.A.; Liang, X.; Cui, L. Plasmodium falciparum resistance to ACTs: Emergence, mechanisms, and outlook. Int. J. Parasitol. Drugs Drug Resist. 2021, 16, 102–118. [Google Scholar] [CrossRef]
  65. Balmer, A.J.; White, N.F.D.; Ünlü, E.S.; Lee, C.; Pearson, R.D.; Almagro-Garcia, J.; Ariani, C. Understanding the global rise of artemisinin resistance: Insights from over 100,000 Plasmodium falciparum samples. eLife 2025, 14, e105544. [Google Scholar] [CrossRef] [PubMed]
  66. World Health Organization. Compendium of Molecular Markers for Antimalarial Drug Resistance; World Health Organization: Geneva, Switzerland, 2025. [Google Scholar]
  67. Mulebeke, R.; Yeka, A.; Van Geertruyden, J.-P. Enhancing malaria elimination in high-transmission settings: The synergy of concurrent vector control and chemotherapy. Malar. J. 2025, 24, 105. [Google Scholar] [CrossRef]
  68. Oyo-Ita, A.; Bosch-Capblanch, X.; Ross, A.; Oku, A.; Esu, E.; Ameh, S.; Oduwole, O.; Arikpo, D.; Meremikwu, M. Effects of engaging communities in decision-making and action through traditional and religious leaders on vaccination coverage in Cross River State, Nigeria: A cluster-randomised control trial. PLoS ONE 2021, 16, e0248236. [Google Scholar] [CrossRef] [PubMed]
  69. Dierickx, S.; Gryseels, C.; Mwesigwa, J.; O’Neill, S.; Bannister-Tyrell, M.; Ronse, M.; Jaiteh, F.; Gerrets, R.; D’Alessandro, U.; Grietens, K.P. Factors Associated with Non-Participation and Non-Adherence in Directly Observed Mass Drug Administration for Malaria in The Gambia. PLoS ONE 2016, 11, e0148627. [Google Scholar] [CrossRef]
  70. Jaiteh, F.; Masunaga, Y.; Okebe, J.; D’Alessandro, U.; Balen, J.; Bradley, J.; Gryseels, C.; Ribera, J.M.; Grietens, K.P. Community perspectives on treating asymptomatic infections for malaria elimination in The Gambia. Malar. J. 2019, 18, 39. [Google Scholar] [CrossRef]
  71. Glossop, S.E.; Peto, T.J.; Adhikari, B. Advances in population-based interventions to control falciparum malaria. Trans. R. Soc. Trop. Med. Hyg. 2025, 119, 1316–1323. [Google Scholar] [CrossRef]
  72. Navalith, N.; Jeong, H.J.; Yang, Y.S.; Phonethipsavanh, N.; Kim, S.; Kang, S. Effectiveness of long-lasting insecticidal nets for malaria elimination in Laos (2016–2023). Malariaworld J. 2025, 16, 11. [Google Scholar]
  73. Keys, H.M.; Noland, G.S.; De Rochars, M.B.; Blount, S.; Gonzales, M. Prevalence of malaria and lymphatic filariasis in bateyes of the Dominican Republic. Infect. Dis. Poverty 2019, 8, 39. [Google Scholar] [CrossRef]
  74. Abeku, T.A. Response to malaria epidemics in Africa. Emerg. Infect. Dis. 2007, 13, 681–686. [Google Scholar] [CrossRef] [PubMed]
  75. Liu, H.; Zhou, Y.; Deng, Y.; Lin, Z.; Zhang, C.; Chen, Q.; Wei, C.; Duan, K.; Tian, P.; Zhou, H.; et al. Malaria from hyperendemicity to elimination along international borders in Yunnan, China during 2003–2020: A case study. Infect. Dis. Poverty 2022, 11, 51. [Google Scholar] [CrossRef] [PubMed]
  76. Poespoprodjo, J.R.; Douglas, N.M.; Ansong, D.; Kho, S.; Anstey, N.M. Malaria. Lancet 2023, 402, 2328–2345. [Google Scholar] [CrossRef] [PubMed]
  77. Zhou, S.; Yu, L.; Liang, J.; Xie, W.; Li, G.; Deng, C.; Song, J.; Zou, G.; Chen, Y. Changes in Malaria Patterns in Comoros from 2010 to 2021: A Comparative Study with Sub-Saharan Africa. Trop. Med. Infect. Dis. 2025, 10, 138. [Google Scholar] [CrossRef]
  78. Abdelmenan, S.; Teka, H.; Hwang, J.; Girma, S.; Chibsa, S.; Tongren, E.; Murphy, M.; Haile, M.; Dillu, D.; Kassim, J.; et al. Evaluation of the effect of targeted Mass Drug Administration and Reactive Case Detection on malaria transmission and elimination in Eastern Hararghe zone, Oromia, Ethiopia: A cluster randomized control trial. Trials 2022, 23, 267. [Google Scholar] [CrossRef]
  79. Ouédraogo, J.-B. Dramatic reductions in malaria cases and deaths continue over five years with seasonal malaria vaccine-drug combination. Lancet Infect. Dis. 2023, 24, 75–86. [Google Scholar]
  80. Nimpa, M.M.; Teytsa, H.N.; Mbang, J.; Wondji, C.S.; Djidjou-Demasse, R. Optimizing MDA and antimalarial treatment in the presence of drug resistance for effective malaria control. Math. Biosci. Eng. 2025, 22, 1898–1930. [Google Scholar] [CrossRef]
  81. Kassim, S.A.; James, P.B.; Alolga, R.N.; Assanhou, A.G.; Kassim, S.M.; Bacar, A.; Silai, R.; Tian, L.; Li, H.; Ma, A. Major decline in malaria morbidity and mortality in the Union of Comoros between 2010 and 2014: The effect of a combination of prevention and control measures. S. Afr. Med. J. 2016, 106, 709–714. [Google Scholar] [CrossRef] [PubMed]
  82. Teklehaimanot, H.D.; Teklehaimanot, A.; Kiszewski, A.; Rampao, H.S.; Sachs, J.D. Malaria in São Tomé and principe: On the brink of elimination after three years of effective antimalarial measures. Am. J. Trop. Med. Hyg. 2009, 80, 133–140. [Google Scholar] [CrossRef]
  83. Peto, T.J.; Tripura, R.; Davoeung, C.; Nguon, C.; Nou, S.; Heng, C.; Kunthea, P.; Adhikari, B.; Lim, R.; James, N.; et al. Reflections on a Community Engagement Strategy for Mass Antimalarial Drug Administration in Cambodia. Am. J. Trop. Med. Hyg. 2018, 98, 100–104. [Google Scholar] [CrossRef]
  84. Morris, U.; Msellem, M.I.; Mkali, H.; Islam, A.; Aydin-Schmidt, B.; Jovel, I.; Shija, S.J.; Khamis, M.; Ali, S.M.; Hodzic, L.; et al. A cluster randomised controlled trial of two rounds of mass drug administration in Zanzibar, a malaria pre-elimination setting-high coverage and safety, but no significant impact on transmission. BMC Med. 2018, 16, 215. [Google Scholar] [CrossRef]
  85. Huang, S.; Baker, K.; Ibinaiye, T.; Oresanya, O.; Nnaji, C.; Richardson, S. Impact of seasonal malaria chemoprevention based on the number of medicines doses received on malaria baurden among children aged 3–59 months in Nigeria: A propensity score-matched analysis. Trop. Med. Int. Health 2024, 29, 668–679. [Google Scholar] [CrossRef] [PubMed]
  86. Lee, W.C.; Cheong, F.W.; Amir, A.; Lai, M.Y.; Tan, J.H.; Phang, W.K.; Shahari, S.; Lau, Y.L. Plasmodium knowlesi: The game changer for malaria eradication. Malar. J. 2022, 21, 140. [Google Scholar] [CrossRef]
  87. Rabinovich, R.N.; Drakeley, C.; Djimde, A.A.; Hall, B.F.; Hay, S.I.; Hemingway, J.; Kaslow, D.C.; Noor, A.; Okumu, F.; Steketee, R.; et al. malERA: An updated research agenda for malaria elimination and eradication. PLoS Med. 2017, 14, e1002456. [Google Scholar] [CrossRef]
Table 1. The regional disparities in MDA implementation in tropical regions.
Table 1. The regional disparities in MDA implementation in tropical regions.
RegionSub-Saharan Africa (High Transmission, Resource-Poor)Greater Mekong Subregion (Low Transmission, High Prevalence of Drug
Resistance)
South America (Transboundary Spread
Prominent)
MDA application conditionIt is intended for use in the emergency suppression of outbreaks or rapid reduction in community parasite loads prior to seasonal transmission peaks, as a complement to vector control.MDA is no longer recommended for the general population. It is primarily indicated for targeted clearance in specific high-risk populations (tMDA) or localized outbreak foci (fMDA).It is suitable for local intervention in hard-to-reach cross-border migrant populations, specific occupational groups such as mining/forestry areas, or border transmission hotspots.
Core barriers and challenges
  • Weak healthcare system: Disrupted supply chains, insufficient staffing, and chaotic data management.
  • Community acceptance: Differences in cultural beliefs, concerns about drug side effects, and poor adherence to multiple rounds of medication.
  • Resource limitations: Significant gaps in drug and operational costs.
  • Multidrug resistance: Particularly resistance to ACTs combination drugs (e.g., mebendazole and methoxyflurane) limits drug selection.
  • Migrant population management: High mobility of cross-border workers and forest workers makes it extremely difficult to track and complete treatment courses.
  • Residual transmission: Relapses caused by _Pv_ dormant subpopulations are difficult to resolve through conventional MDA.
  • Geography and Ecology: The vast Amazon rainforest features complex terrain and poor transportation access, with unique mosquito ecosystems that are difficult to control.
  • Cross-border Coordination: Uneven political commitments, prevention strategies, and resource allocation among countries hinder the establishment and maintenance of cross-border joint prevention and control mechanisms.
  • Social Instability and Illegal Activities: Illegal mining and other activities in certain regions increase the difficulty of intervention and safety risks.
Localization solutions
  • Integration strategy: Combine MDA with seasonal malaria chemoprevention (SMC) or vaccination programs, sharing distribution networks.
  • Community empowerment: Utilize community health workers (CHWs) and traditional leaders for social mobilization and drug distribution.
  • Innovative tools: Adopt heat-resistant drug formulations (e.g., “Yue Te Kuai”) for high-temperature environments.
  • Precision Guidance: Utilize molecular surveillance and GIS to identify hotspots and implement tMDA and fMDA strategies.
  • Adjustment of regimens: Reconfigure antimalarial combination therapies (e.g., pyronaridine-artemisinin) based on drug resistance data, and explore the introduction of single-dose radical cure agents (e.g., thienofluoroquine) for Pv.
  • Cross-border collaboration: Establish regional information-sharing platforms and joint action mechanisms, and set up border medical stations for mobile populations.
  • Multi-sector collaboration: Joint military and non-governmental organization (NGO) efforts to implement interventions in remote areas.
  • Regional initiatives: Leveraging frameworks such as the Pan American Health Organization (PAHO) to advance cross-border malaria elimination programs.
  • Focus on mobility: Developing innovative service models for mobile populations, including mobile clinics, peer educator networks, and integrating with long-term vector control tools.
Table 2. A comparison of the cost parameters for MDA, tMDA, and fMDA in different tropical regions.
Table 2. A comparison of the cost parameters for MDA, tMDA, and fMDA in different tropical regions.
StrategyApplicable ContextEstimated Cost per Treatment
Completed, USD
Key Cost DriversBenefit Characteristics
MDAHigh transmission areas, emergency containment of outbreaks$4.00–$8.00Drug procurement, large-scale logistics, and the mobilization of all staff for distributionThe incidence and mortality rates can be rapidly reduced in a short period of time, with significant scale effects.
tMDALow transmission areas/elimination phase, targeting high-risk subgroups$12.00–$20.00+Screening and location costs (requiring initial identification of target populations) and labor costs for tracking migrant populationsReducing drug waste and targeting infection sources precisely, but with high upfront identification costs.
fMDALow transmission areas, targeting identified outbreak villages or regions$8.00–$15.00Hotspot identification and monitoring system and regional strengthened mobilizationLocal areas should be cleared quickly to prevent the spread of the epidemic.
MDA + SMC Integration ModeHigh seasonality transmission area, targeting the entire population (using SMC networks)$3.00–$6.00
(Lower marginal cost)
Hotspot identification and monitoring system, regional strengthened mobilizationThe high cost-effectiveness ratio enables synergy through existing platforms.
Note: The comprehensive estimation range is based on the literature [34,35,36,37,38,39,40,41,42].
Table 3. The distribution differences in drug resistance genes across regions [62,63,64,65,66].
Table 3. The distribution differences in drug resistance genes across regions [62,63,64,65,66].
RegionTypePfK13 Key Validation
Mutation Prevalence
Status of Partner Drugs Used in Combination with ACT
Core resistance areaGMS (e.g., Cambodia, Thailand, Myanmar, border areas of Vietnam)High (>15–50%+) (Common mutations: C580Y, Y493H, R539T, etc.)Severe multidrug resistance
New threat areaHotspots in East Africa (e.g., Rwanda, Uganda, parts of Tanzania)Moderate/ascending (5–15%) (increased specific local mutations, such as R561H, A675V)Still sensitive, but under threat
Relatively sensitive areaMost of sub-Saharan Africa (West Africa, Central Africa, and most of the high transmission areas in South Africa)Low (<5%) (rare or below WHO alert in most areas)Still sensitive
Other areasThe Amazon basin in South America and other regionsLocal presence (sporadic >5%) (There is an independent origin of C580Y)High variability
Table 4. The limitations and coping strategies of MDA in tropical regions.
Table 4. The limitations and coping strategies of MDA in tropical regions.
Limitation CategorySpecific Manifestation in TropicsProposed Coping Strategies
Socio-cultural and AdherenceTribal cultural barriers, distrust in modern medications, community fatigue caused by multiple rounds of medication, and challenges in reaching migrant populations.Enhance community participatory design: Mobilize traditional leaders and local opinion leaders, adopt culturally appropriate outreach methods, transition to targeted tMDA in low-communication areas to minimize disruption to the general population.
Health System and ResourcesThe high dependence on resources and the extreme difficulty of logistics in remote tropical areas, as well as the frequent interruption of projects due to the discontinuation of external funding, have led to a resurgence of the epidemic.Integration and Innovation: Utilize heat-resistant drugs to overcome cold chain bottlenecks, integrate MDA with existing SMC and EPI projects to share costs, and secure domestic fiscal commitments to reduce dependence on external single funding sources.
Biological and TechnicalThe inability to eradicate low-density infections of the asexual phase of Pf and dormant Pv parasites, the sensitivity of rapid diagnostic tests (RDT) is insufficient to support precise localization, and the potential risk of drug resistance.Combination Toolkit: MDA must be combined with enhanced vector control, explore the use of single-dose tafquinine for eradication of Pv, introduce ultra-sensitive detection techniques to guide fMDA, and strictly monitor resistance markers.
Ethical ConsiderationsThe ethical legitimacy of administering drugs to a large number of healthy, non-infected individuals in low-prevalence areas is questioned.Transparency and precision: Establish robust informed consent mechanisms for communities and individuals, clarify the public health necessity of MDA, and, where possible, prioritize screening-based strategies over population-wide MDA to balance individual risks with collective benefits.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Cao, Z.; Gu, Y.; Li, G.; Deng, C. Application Strategy and Research Progress of Large-Scale Population Drug Intervention in Malaria Control. Trop. Med. Infect. Dis. 2026, 11, 113. https://doi.org/10.3390/tropicalmed11050113

AMA Style

Cao Z, Gu Y, Li G, Deng C. Application Strategy and Research Progress of Large-Scale Population Drug Intervention in Malaria Control. Tropical Medicine and Infectious Disease. 2026; 11(5):113. https://doi.org/10.3390/tropicalmed11050113

Chicago/Turabian Style

Cao, Zichao, Yunan Gu, Guoming Li, and Changsheng Deng. 2026. "Application Strategy and Research Progress of Large-Scale Population Drug Intervention in Malaria Control" Tropical Medicine and Infectious Disease 11, no. 5: 113. https://doi.org/10.3390/tropicalmed11050113

APA Style

Cao, Z., Gu, Y., Li, G., & Deng, C. (2026). Application Strategy and Research Progress of Large-Scale Population Drug Intervention in Malaria Control. Tropical Medicine and Infectious Disease, 11(5), 113. https://doi.org/10.3390/tropicalmed11050113

Article Metrics

Back to TopTop