Literature DB >> 34061843

Global economic costs due to vivax malaria and the potential impact of its radical cure: A modelling study.

Angela Devine1,2, Katherine E Battle3, Niamh Meagher2,4, Rosalind E Howes5,6, Saber Dini2, Peter W Gething7,8, Julie A Simpson2, Ric N Price1,9,10, Yoel Lubell9,10.   

Abstract

BACKGROUND: In 2017, an estimated 14 million cases of Plasmodium vivax malaria were reported from Asia, Central and South America, and the Horn of Africa. The clinical burden of vivax malaria is largely driven by its ability to form dormant liver stages (hypnozoites) that can reactivate to cause recurrent episodes of malaria. Elimination of both the blood and liver stages of the parasites ("radical cure") is required to achieve a sustained clinical response and prevent ongoing transmission of the parasite. Novel treatment options and point-of-care diagnostics are now available to ensure that radical cure can be administered safely and effectively. We quantified the global economic cost of vivax malaria and estimated the potential cost benefit of a policy of radical cure after testing patients for glucose-6-phosphate dehydrogenase (G6PD) deficiency. METHODS AND
FINDINGS: Estimates of the healthcare provider and household costs due to vivax malaria were collated and combined with national case estimates for 44 endemic countries in 2017. These provider and household costs were compared with those that would be incurred under 2 scenarios for radical cure following G6PD screening: (1) complete adherence following daily supervised primaquine therapy and (2) unsupervised treatment with an assumed 40% effectiveness. A probabilistic sensitivity analysis generated credible intervals (CrIs) for the estimates. Globally, the annual cost of vivax malaria was US$359 million (95% CrI: US$222 to 563 million), attributable to 14.2 million cases of vivax malaria in 2017. From a societal perspective, adopting a policy of G6PD deficiency screening and supervision of primaquine to all eligible patients would prevent 6.1 million cases and reduce the global cost of vivax malaria to US$266 million (95% CrI: US$161 to 415 million), although healthcare provider costs would increase by US$39 million. If perfect adherence could be achieved with a single visit, then the global cost would fall further to US$225 million, equivalent to $135 million in cost savings from the baseline global costs. A policy of unsupervised primaquine reduced the cost to US$342 million (95% CrI: US$209 to 532 million) while preventing 2.1 million cases. Limitations of the study include partial availability of country-level cost data and parameter uncertainty for the proportion of patients prescribed primaquine, patient adherence to a full course of primaquine, and effectiveness of primaquine when unsupervised.
CONCLUSIONS: Our modelling study highlights a substantial global economic burden of vivax malaria that could be reduced through investment in safe and effective radical cure achieved by routine screening for G6PD deficiency and supervision of treatment. Novel, low-cost interventions for improving adherence to primaquine to ensure effective radical cure and widespread access to screening for G6PD deficiency will be critical to achieving the timely global elimination of P. vivax.

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Year:  2021        PMID: 34061843      PMCID: PMC8168905          DOI: 10.1371/journal.pmed.1003614

Source DB:  PubMed          Journal:  PLoS Med        ISSN: 1549-1277            Impact factor:   11.069


Introduction

Over the last decade, significant gains have been made in reducing the global burden of malaria. Early diagnosis, highly effective antimalarial treatment, and intensive vector control measures have led to a major reduction in the global burden of Plasmodium falciparum [1]. The impact of these measures on Plasmodium vivax, however, has been more modest. In 2017, vivax malaria was estimated to cause between 13.5 and 15 million cases of malaria [2], with the greatest burden of disease found in remote communities with poor access to healthcare [3]. Outside of sub-Saharan Africa, a rising proportion of malaria is caused by vivax malaria, highlighting the unique challenges in eliminating the parasite [3]. Unlike P. falciparum, P. vivax forms dormant liver stages (hypnozoites) that reactivate periodically, causing recurrent episodes of malaria (relapses) associated with a cumulative risk of anaemia in addition to direct and indirect attributable mortality [4,5] and ongoing transmission of the parasite [6]. Pregnant women and young children are particularly vulnerable, with vivax malaria causing premature delivery and low birth weight, both of which contribute to perinatal and infant mortality [7-9]. Radical cure of vivax malaria requires a combination of schizontocidal and hypnozoitocidal antimalarial drugs to kill both the blood and liver stages of the parasites. The only widely available antimalarial drug with hypnozoitocidal activity is primaquine, which is usually recommended as a 14-day regimen [10]. Adherence to such a prolonged course of treatment for an acute febrile illness is poor, resulting in a high proportion of patients prescribed unsupervised primaquine in routine clinical practice receiving a dose that is ineffective for radical cure [11,12]. Shorter course treatment regimens offer an alternative strategy that may facilitate greater adherence and more effective antimalarial treatments. Two recent trials have shown that a 7-day regimen of high daily dose primaquine is well tolerated with similar efficacy to the same total dose of primaquine administered over 14 days [13,14]. The licensing of tafenoquine in 2018 provides an alternative hypnozoitocidal drug, which can be administered as a single dose, overcoming the challenge of adherence [15]. Primaquine and tafenoquine are both 8-aminoquinoline compounds and can cause severe haemolysis in individuals with glucose-6-phosphate dehydrogenase (G6PD) deficiency [16]. G6PD deficiency is a common inherited enzymopathy, prevalent in up to 30% of populations residing in malaria-endemic areas [17]. The World Health Organisation recommends that, where possible, individuals should be tested for G6PD deficiency before prescribing primaquine, and this is particularly important when treating patients with shorter high daily dose primaquine regimens, or long-acting tafenoquine. Concerns regarding severe drug-induced haemolysis and the additional costs of providing G6PD testing frequently result in policy makers and healthcare providers being reluctant to recommend or prescribe radical cure [18]. A large investment has been made in the research and development of novel point-of-care tests for G6PD deficiency, including qualitative rapid diagnostic tests (RDTs) and quantitative biosensors. These tests are less expensive than the traditional fluorescent spot test [19] and have stimulated interest in their use in areas without laboratory facilities [20], offering new opportunities for improving the management and control of vivax malaria, particularly in remote settings. Wide-scale adoption of technologies facilitating radical cure of vivax malaria will incur additional costs to providers and funders; whether this represents a worthwhile investment is highly dependent on the global economic impact of vivax malaria, which has yet to be quantified. The aims of this study were to collate information on the costs of illness due to P. vivax, quantify the current global economic costs to both healthcare providers and the households of patients, and explore the potential cost–benefit of wide-scale implementation of G6PD screening and primaquine radical cure.

Methods

Cases of vivax malaria

The Malaria Atlas Project estimated that the incidence of vivax malaria in 2017 was 14.2 million cases across the 44 endemic countries included in this analysis (S1 Table) [2]. These estimates refer to symptomatic vivax malaria and were used as the time horizon for the costs from the healthcare provider and societal perspectives. Estimates utilise treatment-seeking rates at public facilities to adjust for cases that would not be included in national reporting systems due to individuals attending private healthcare providers or never seeking treatment. National estimates of treatment-seeking behaviour were derived from household survey data [21] that were categorised according to whether patients sought treatment with any provider (including public or private healthcare providers, pharmacies, or shops) or did not seek treatment outside of their own home. Treatment-seeking values were modelled for countries and years without household data using socioeconomic indicator variables and a Gaussian process regression [2]. Case values for 2017 were also adjusted for reporting completeness using subnational values publicly available from country programmes or national values as reported in the World Malaria Report [22]. Age-specific incidence rates were derived from a model originally calibrated for P. falciparum but adapted for P. vivax [23,24]. Case estimates for 2017 were available for all endemic countries, except for the majority of sub-Saharan Africa due to a paucity of case data. Those for North Korea were excluded from the analysis due to a scarcity of complementary cost data. This study is reported as per the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) guidelines (S1 CHEERS Checklist).

Costs to healthcare providers

For patients seeking treatment at healthcare providers, the proportion of malaria cases diagnosed by either RDT or microscopy as well as the drugs prescribed in 2017 were derived for each country from the World Malaria Report (S1 Table) [22]. After applying the percent of cases confirmed by diagnostic test to the population seeking treatment, the percent of confirmed cases diagnosed by RDT was used to calculate the RDT costs, while the cost of microscopy was applied to the remaining individuals. Madagascar did not report vivax-specific antimalarial treatments, so it was assumed that the species of infection was not distinguished and that patients with P. vivax were treated with the same antimalarials as patients with uncomplicated confirmed P. falciparum. In the 42 countries in which primaquine was recommended in national guidelines [22], this was assumed to be in line with the WHO Antimalarial Treatment Guidelines, in which treatment is only recommended to nonpregnant and nonlactating females and children over the age of 1 year [10]. Accordingly, the estimated proportion of patients who were pregnant or lactating were excluded from those over the age of 15 [25], and 20% of cases under the age of 5 were excluded from primaquine eligibility. From experience in the field, provider compliance to national treatment guidelines for eligible patients was assumed to be 40%, and this was applied to the eligible population to determine the number and associated cost of primaquine prescriptions. In 2017, only Malaysia routinely assessed G6PD status prior to primaquine administration; accordingly, the cost of a fluorescent spot test was applied to all patients eligible for primaquine, and the cost of primaquine was added for the proportion who were G6PD normal. The prevalence of the population with G6PD deficiency (<30% activity) [17] and proportion of females who were pregnant or lactating [25] are listed in S1 Table. Diagnostic tests, treatment, days lost to illness, and case estimates along with all country-level assumptions are shown in S1 Table. Where possible, costs were collected in local currencies and inflated to 2017 using gross domestic product (GDP) deflators [26] before converting to United States Dollars (US$) using 2017 exchange rates [27]. The US GDP deflator was used for missing years for Djibouti, Eritrea, and Venezuela. Overhead treatment costs were taken from WHO-CHOICE [28] and supplemented with drug costs from the International Medical Products Price Guide [29]. Since the majority of vivax malaria occurs in rural areas, the cost of a primary care health centre without beds was used as the cost of outpatient visits, and the cost per bed day in a primary-level hospital was used for inpatient visits [28]. For Somalia, where healthcare costs were unavailable, these were derived from neighbouring Ethiopia. It was assumed that 2% of patients who sought treatment for malaria required hospitalization [30] and that these required 3 days of inpatient care [31,32]. Diagnostic test costs for vivax malaria were obtained from the literature [19,33,34] and applied by WHO region (S2 Table).

Costs to households

Direct costs to the patients included treatment, transportation, and any previous treatment seeking for those who sought treatment at multiple locations [19]. Direct costs were only applied to those seeking treatment, whereas indirect costs were applied to all cases. Indirect costs included the cost of the days during which patients were unable to attend to their usual activities due to illness and days when a caregiver was required to stop doing usual activities to care for a patient with vivax malaria. The number of days lost due to illness for patients and carers was taken from the weighted average number of patients in each WHO region (S1 Table) [19]. For children under the age of 5, only the carer days lost were applied to cases. The days lost due to illness were valued at 1 GDP per capita per day [35,36]. An overview of all parameters, assumptions, and data sources can be found in S2 File.

Cost–benefit of global implementation of G6PD testing with radical cure

In addition to the baseline global costs, 2 scenario analyses were explored to quantify the potential impact of the global implementation of a policy in which high-dose primaquine radical cure (total dose of 7 mg/kg) was administered to eligible patients after screening for G6PD deficiency. In both scenarios, the cost of a high total dose of primaquine (7 mg/kg) was used, given its high efficacy across multiple and diverse locations [13,14]; however, this potentially overestimates the cost of primaquine in areas where a lower total dose may have sufficed [37]. In the first scenario, Supervised radical cure, it was assumed that daily supervision of primaquine therapy administered to eligible patients would result in perfect adherence. The cost of treatment supervision was estimated to be 1.6 healthcare worker days (1 hour per day for 13 days assuming a work day of 8 hours). Since most community healthcare workers are unpaid, their time was valuated using the GDP per capita per day [35,36]. In the second scenario, Unsupervised radical cure, primaquine radical cure in G6PD normal patients was assumed to have only 40% effectiveness due to lower patient adherence. Limited information is available on adherence to and effectiveness of a 14-day primaquine regimen [11,38]. In both scenarios, G6PD screening was assumed to be undertaken using a qualitative lateral flow RDT that identifies individuals with enzyme activity below 30% but does not identify heterozygous females with intermediate enzyme activity [20]. The G6PD RDT was assumed to have a 96% sensitivity, which was derived from a recent meta-analysis [20]. A cost–benefit analysis was then carried out in which these 2 scenarios were compared with the baseline global costs to assess the changes in global incidence and costs. The number of cases averted was determined from the number of treatment-seeking individuals in the baseline global cost estimates who were G6PD normal and eligible to receive primaquine, multiplied by the proportion of relapses that would be averted. In the Supervised radical cure scenario, high-dose primaquine reduced the risk of relapse by 88% in patients completing treatment [39]. For the Unsupervised radical cure scenario, the effectiveness was assumed to remain at 40%. In countries where primaquine is already prescribed, the percent of relapses prevented by treatment with effective primaquine radical cure in the baseline global costs (i.e., the proportion prescribed primaquine multiplied by the proportion receiving an effective dose) were subtracted from the proportion of relapses averted in each radical cure scenario. The cases averted were then subtracted from the global cost incidence before calculating treatment-seeking behaviour and associated costs. The assignment of costs to patients with vivax malaria is presented in Fig 1. Unit costs were taken from the literature review and applied by WHO region [19,33,34]. The cost of a G6PD RDT, including an additional blood draw, was applied to the patient population eligible to receive primaquine (i.e., not pregnant, lactating, or under the age of 1 year). The cost of the G6PD RDT in SEARO was the average of the other regions since the cost from Indonesia was exceptionally high and was only applied within the country. In Malaysia, it was assumed that the fluorescent spot test would continue to be used for G6PD diagnosis. These costs replaced any preexisting costs of screening and primaquine administration used in the global cost analysis.
Fig 1

Flow diagram for the application of costs in the radical cure scenarios.

Of those prescribed radical cure, only those who are G6PD normal are able to have an effective dose.

Flow diagram for the application of costs in the radical cure scenarios.

Of those prescribed radical cure, only those who are G6PD normal are able to have an effective dose.

Sensitivity analyses

The impact of excluding productivity losses for patients under the age of 15 was explored in a sensitivity analysis for the baseline global costs. For the Supervised radical cure scenario, a sensitivity analysis was used to explore the impact of reducing the number of days of supervision from 13 days for a fully supervised 14-day primaquine regimen to 6 visits for a fully supervised 7-day regimen, and to 1 visit for a review at day 7 of a 7-day primaquine regimen. In these scenarios, it was assumed that adherence would remain at 100%. A second one-way sensitivity analysis varied the percent of recurrent cases prevented by a full course of high-dose primaquine from 82% to 92% [39]. For the Unsupervised radical cure scenario, a one-way sensitivity analysis used a range of 30% [11] to 60% [40] to quantify the impact of the effectiveness of unsupervised primaquine. Credible intervals (CrIs) were calculated for the global cost and scenario estimates through a probabilistic sensitivity analysis. The probabilistic sensitivity analysis drew 10,000 samples from ranges around the base case values. Where possible, these were the reported 95% confidence intervals, but otherwise plausible ranges were used (S1 and S2 Tables and S2 File). Cost parameters were given gamma distributions, proportions were given beta distributions, and the incidence a normal distribution (S2 File). The limits of the 95% CrIs are the 2.5th and 97.5th percentiles of the 10,000 samples.

Online model

In view of the uncertainty around the model parameters and their marked heterogeneity between endemic areas, a web-based model was developed with options to vary key parameters for the baseline global costs and a radical cure scenario for each country. The model provides the option of including costs due to primaquine-induced haemolysis, which were not included in the primary analysis due to uncertainty on the frequency and associated direct costs.

Results

Global costs due to vivax malaria

The age model stratified the 14.2 million P. vivax cases in 2017 into 7.1 million (49.8%) in adults aged 15 and older, 3.5 million (25.0%) in children aged 5 to 14, and 3.6 million (25.2%) in infants less than 5 years old (Table 1). Of the 5.3 million treatment-seeking adults, 166,144 (3.2%) were estimated to be pregnant or lactating. Overall, 884,000 patients over the age of 1 year who sought treatment had severe (<30%) G6PD deficiency (Table 1). Of the 10.5 million patients with vivax malaria who sought treatment, 3.8 million (37%) were prescribed primaquine, and 1.5 million (15%) received an effective antirelapse dose (S4 Table).
Table 1

Demographics and case numbers of patients with vivax malaria.

WHO RegionTotal
AFROEMROPAHOSEAROWPRO
Population at risk127,000,500375,944,496315,466,9141,649,572,0321,524,044,6163,992,028,558
Number of patients with vivax malaria
Infants (0–4 years old)217,4901,487,805183,6271,498,725184,9303,572,577
Children (5–14 years old)187,1221,388,478170,7831,647,335146,1173,539,835
Adults (15+)271,0382,128,215424,9594,011,290217,8567,053,358
Population seeking treatment
Infants (0–4 years old)66,6071,134,049118,1021,165,419129,5532,613,730
Children (5–14 years old)56,8921,063,808108,9271,280,834102,3792,612,840
Adults (15+)82,8381,643,540270,1853,117,024153,0545,266,641
Pregnant or lactating females2,93044,4304,838109,1414,805166,144
Patients with severe G6PD deficiency (<30% activity) in those >1 year old9,380463,86725,598354,86430,044883,753
Number eligible for primaquine172,1752,974,714422,2484,643,713309,5878,522,437

AFRO, Africa Region; EMRO, Eastern Mediterranean Region; G6PD, glucose-6-phosphate dehydrogenase; PAHO, Americas Region; SEARO, Southeast Asia Region; WHO, World Health Organisation; WPRO, Western Pacific Region.

AFRO, Africa Region; EMRO, Eastern Mediterranean Region; G6PD, glucose-6-phosphate dehydrogenase; PAHO, Americas Region; SEARO, Southeast Asia Region; WHO, World Health Organisation; WPRO, Western Pacific Region. The estimated baseline global cost of vivax malaria in 2017 was US$359 million (95% CrI: US$222 to 563 million; Table 2). The cost burden varied widely between countries, which largely reflected the underlying case estimates (Fig 2A). India carried the greatest cost burden of US$175 million (95% CrI: US$97 to 298 million), accounting for 49% of the total global cost (Table 2). Other high-cost countries were Pakistan (US$60 million), Venezuela (US$42 million), Indonesia (US$21 million), Brazil (US$18 million), Papua New Guinea (US$9 million), and Sudan (US$7 million). While Ethiopia has the third highest case burden, it was ninth in cost burden, which was driven by the low numbers seeking treatment and a low GDP per capita per day.
Table 2

Baseline global costs for vivax malaria by country.

Costs are in 2017 United States Dollars. The provider cost per case can be found in S3 Table.

CountryProvider CostsDirect Household CostsIndirect Household CostsTotal Cost95% CrI
Afghanistan824,2071,096,8301,695,3903,616,4272,521,907–5,004,143
Bangladesh3,8572,82320,12426,80414,012–47,721
Belize8571266425294–539
Bhutan13668775979495–1,803
Bolivia73,92390,951306,228471,101329,167–639,141
Brazil724,9691,068,01915,790,07517,583,06312,045,680–24,355,381
Cambodia108,77053,939198,902361,611255,693–506,171
China173431,2311,447869–2,203
Colombia530,699360,7622,450,8303,342,2922,463,464–4,381,196
Djibouti2,2921,49913,23117,0202,076–84,155
Ecuador22,67419,00895,512137,19498,542–181,746
El Salvador197188598983351–1,682
Eritrea32,17715,596151,114198,888116,137–312,887
Ethiopia655,548426,9613,863,7264,946,2352,145,863–8,682,535
Guatemala124,298120,874492,056737,227508,741–1,013,772
Guyana134,264177,508719,1681,030,939725,173–1,385,411
Honduras37,38246,065104,626188,073145,054–238,013
India31,312,53419,423,275124,012,650174,748,45897,160,933–298,000,840
Indonesia4,663,8281,433,06015,392,96921,489,85612,078,025–37,452,273
Iran155558771,08995–3,388
Laos101,27246,828371,566519,666278,947–852,076
Madagascar288,226135,187412,356835,769540,315–1,210,461
Malaysia53,4104,208148,344205,962127,749–315,045
Mexico16,58910,02369,36595,97610,435–253,163
Myanmar273,327259,0501,269,9941,802,371972,863–3,179,252
Nepal9,47911,58636,99058,05632,660–98,397
Nicaragua53,89781,763156,557292,218217,508–379,777
Pakistan9,848,14811,234,36338,929,19960,011,71043,879,014–81,229,210
Panama21,60712,024140,886174,516126,566–232,988
Papua New Guinea1,526,310821,6176,814,9939,162,9225,367,104–14,668,561
Peru871,144722,9954,052,5415,646,6814,290,355–7,216,415
Philippines34,22215,048202,708251,978144,281–411,933
Saudi Arabia3,33231118,18221,8266,347–41,916
Solomon Islands297,597118,857768,3181,184,772682,891–1,902,202
Somalia11,32815,5755,25332,15614,785–52,234
South Korea20,1751,294147,273168,742101,814–259,931
Sudan2,200,4381,080,1253,619,3716,899,9343,512,411–10,953,919
Suriname1,3121,2676,2028,7826,454–11,525
Thailand34,75710,548264,009309,315152,154–569,041
Timor-Leste6642185294170–490
Vanuatu19,4785,74856,01681,24349,636–125,818
Venezuela8,622,2854,448,36229,359,80442,430,45030,629,909–56,094,833
Vietnam18,00810,379103,435131,82277,289–209,172
Yemen33,17216,13042,43191,73367,572–121,878
Total63,611,74743,400,925252,306,326359,319,005221,901,800–562,685,237
Fig 2

Global map of the economic cost burden due to vivax malaria and potential impact of radical cure.

(A) The baseline global costs, (B) the Supervised radical cure scenario, and (C) the Unsupervised radical cure scenario. Percentage change in total costs from the baseline global costs are shown for the radical cure scenarios. Costs are in 2017 United States Dollars. Countries in light grey are thought to have endemic P. vivax but insufficient information to generate case estimates. Countries in dark grey have insufficient cost data. Global national shapefile obtained from the Malaria Atlas Project (MAP; https://malariaatlas.org/) and available for download through the malariaAtlas R package.

Global map of the economic cost burden due to vivax malaria and potential impact of radical cure.

(A) The baseline global costs, (B) the Supervised radical cure scenario, and (C) the Unsupervised radical cure scenario. Percentage change in total costs from the baseline global costs are shown for the radical cure scenarios. Costs are in 2017 United States Dollars. Countries in light grey are thought to have endemic P. vivax but insufficient information to generate case estimates. Countries in dark grey have insufficient cost data. Global national shapefile obtained from the Malaria Atlas Project (MAP; https://malariaatlas.org/) and available for download through the malariaAtlas R package.

Baseline global costs for vivax malaria by country.

Costs are in 2017 United States Dollars. The provider cost per case can be found in S3 Table. Overall, 70% (US$252 million) of the global cost burden was attributable to indirect household costs, 18% (US$64 million) to healthcare provider costs, and 12% (US$43 million) to direct household costs. In the sensitivity analysis where only productivity losses to adults were included, the global cost decreased to US$303 million (Table 3 and S3 Table).
Table 3

Results of the baseline global costs and Supervised radical cure and Unsupervised radical cure scenarios with 95% credible intervals for the baseline total cost estimates.

One-way sensitivity analyses to 6 visits and 1 visit of supervision as compared to 13 visits. All costs are in 2017 United States Dollars and rounded to the nearest 1,000.

Cost componentBaseline global costsSupervised radical cure scenarioUnsupervised radical cure scenario
ResultsOne-way SAResultsOne-way SAResultsOne-way SA
Excluding productivity losses in childrenSix supervision visitsOne supervision visitLow proportion cases prevented by full PQ courseaHigh proportion cases prevented by full PQ courseaLow effectiveness of PQ without supervisionbHigh effectiveness of PQ without supervisionb
Total healthcare provider costs63,612,00063,612,000103,043,00079,059,00061,927,000110,042,00098,377,00090,389,000102,404,00078,375,000
Total household costs295,707,000239,273,000162,676,000162,676,000162,676,000173,745,000155,297,000251,232,000284,588,000217,876,000
Direct43,401,00043,401,00024,286,00024,286,00024,286,00025,877,00023,225,00037,013,00041,804,00032,222,000
Indirect252,306,000195,872,000138,390,000138,390,000138,390,000147,869,000132,072,000214,219,000242,784,000185,654,000
Total costs (95% CrIs)359,319,000 (221,902,000–562,685,000)302,885,000265,719,000 (160,996,000–415,443,000)241,735,000224,603,000283,788,000253,674,000341,621,000 (208,558,000–532,457,000)386,993,000296,251,000

CrIs, credible intervals; PQ, primaquine; SA, sensitivity analysis.

aVaried from 0.88 to 0.82 for low value and 0.92 for high value.

bVaried from 0.40 to 0.10 for low value and 0.70 for high value.

Results of the baseline global costs and Supervised radical cure and Unsupervised radical cure scenarios with 95% credible intervals for the baseline total cost estimates.

One-way sensitivity analyses to 6 visits and 1 visit of supervision as compared to 13 visits. All costs are in 2017 United States Dollars and rounded to the nearest 1,000. CrIs, credible intervals; PQ, primaquine; SA, sensitivity analysis. aVaried from 0.88 to 0.82 for low value and 0.92 for high value. bVaried from 0.40 to 0.10 for low value and 0.70 for high value.

Supervised radical cure scenario

In this scenario, the total number of cases would decrease from 14.2 million to 8.0 million, a 43% reduction (6.1 million cases) in 2017 (Table 4). Of the 5.8 million people seeking treatment, 4.7 million (81%) were prescribed radical cure (including G6PD deficient with false negative test results), of whom 2.4 million were adults, 1.2 million children, and 1.1 million infants (S4 Table). Approximately 19,000 patients with severe G6PD deficiency would have been treated with high-dose primaquine due to the RDT providing false normal results.
Table 4

Annual incidence of vivax malaria and numbers seeking treatment for the baseline global cost estimates, and annual incidence and percent reduction from the baseline estimates for the Supervised radical cure and Unsupervised radical cure scenarios.

CountryBaseline incidenceBaseline treatment seekingSupervised radical cure incidencePercent reduction from baselineaUnsupervised radical cure incidencePercent reduction from baselinea
Afghanistan492,579313,380308,33737%431,16512%
Bangladesh1,33374386535%1,17812%
Belize65267%517%
Bhutan24181346%2113%
Bolivia10,9266,3166,88737%9,58012%
Brazil186,01474,168139,93425%170,6548%
Cambodia21,81419,26411,04749%18,22516%
China1815950%1611%
Colombia42,62225,05326,90037%37,38112%
Djibouti65542838142%56414%
Ecuador1,7331,32090548%1,45716%
El Salvador1713947%1512%
Eritrea9,9215,5706,51534%8,78511%
Ethiopia573,729152,486457,12520%520,7279%
Guatemala13,7258,3948,49038%11,98013%
Guyana18,66112,32710,90142%16,07414%
Honduras5,0813,1993,07140%4,41113%
India6,612,4255,111,3883,553,45746%5,592,76915%
Indonesia429,941377,121201,35853%353,74618%
Iran22161436%209%
Laos23,87016,72414,71538%20,81813%
Madagascar92,00048,28161,57633%78,17115%
Malaysia2,0171,5031,10245%1,71115%
Mexico86369641652%71317%
Myanmar105,45868,17163,55140%91,48913%
Nepal4,2393,0492,34445%3,60715%
Nicaragua8,4585,6784,83043%7,24914%
Pakistan3,993,7463,209,8182,223,84844%3,403,78115%
Panama1,08383554749%90417%
Papua New Guinea418,872293,435245,79441%361,18014%
Peru75,08550,20843,10143%64,42314%
Philippines10,0025,3746,63834%8,88011%
Saudi Arabia117896544%10015%
Solomon Islands62,76642,44941,76033%55,76311%
Somalia7,6464,4504,90336%6,73112%
South Korea60846230150%50617%
Sudan502,472308,607333,91734%446,28711%
Suriname122886547%10216%
Thailand3,9152,7762,29241%3,37414%
Timor-Leste1511847%1313%
Vanuatu2,9032,0531,69142%2,49814%
Venezuela414,973308,914230,02345%353,32315%
Vietnam6,0333,7073,79437%5,28712%
Yemen7,2614,6094,43739%6,32013%
Total14,165,77010,493,2118,027,93843%12,102,00315%

aEquations describing the calculation of these can be found in S1 File.

aEquations describing the calculation of these can be found in S1 File. The additional provider costs of delivering this scenario were US$39.4 million, increasing the total from US$63.6 million to US$103 million. The total provider costs consisted of US$20.5 million (20%) for G6PD screening, US$44.5 million (43%) for primaquine supervision, and US$38.0 (37%) for case management (S3 Table). While the total provider costs increased, household costs decreased by US$133 million (from US$296 million to US$163 million; Fig 3 and Table 3). Overall, the global cost of vivax malaria in this scenario was US$266 million, representing $94 million in cost savings from the baseline global costs (Fig 2B and Table 3). When varying the bounds of vivax malaria recurrences preventable with a full course of high dose from 88% to 82% and 92%, the global cost of the Supervised radical cure scenario ranged from $284 million to US$254 million, respectively (Table 3).
Fig 3

Comparison of provider, household, and total cost comparison of the baseline global costs and the Supervised radical cure and Unsupervised radical cure scenarios.

Sensitivity analyses for the Supervised radical cure scenario included 6 visits and 1 visit of supervision as compared to 13 visits. Costs are in 2017 United States Dollars.

Comparison of provider, household, and total cost comparison of the baseline global costs and the Supervised radical cure and Unsupervised radical cure scenarios.

Sensitivity analyses for the Supervised radical cure scenario included 6 visits and 1 visit of supervision as compared to 13 visits. Costs are in 2017 United States Dollars. Reducing the number of supervision visits to 6 (equivalent to a fully supervised 7-day primaquine regimen), decreased provider costs by US$23.9 million (23%), from US$103 million to US$79.1 million (Fig 3 and Table 3). Further reducing the supervision visits to 1 visit, decreased provider costs by a further US$17.1 million to US$61.9 million, US$1.6 million less than the provider costs in the baseline global costs (Fig 3 and Table 3). If adherence could be achieved with a single visit, it would result in $135 million in cost savings from the baseline global costs.

Unsupervised radical cure scenario

In this scenario, the impact on the total global incidence and cost was modest, with the number of cases decreasing by 2.1 million to 12.1 million (Table 4); this is 4.1 million more cases than in the Supervised radical cure scenario. When the wide bounds used for the effectiveness of primaquine without supervision were varied from 40% to 10% and 70% effectiveness, it resulted in a change of 1.5 million cases in both directions. The corresponding variation in costs was US$387 million when assuming 10% effectiveness and US$296 million with 70% effectiveness. The additional intervention costs under the Unsupervised radical cure scenario were entirely attributable to the provision of G6PD testing and resulted in an increase in provider costs of US$26.8 million to US$90.4 million. Conversely, household costs decreased by US$44.5 million (15%) to US$251 million (Table 3). The provider costs were higher than the baseline global costs for all countries. The total cost of vivax malaria from a societal perspective decreased by US$17.7 million to US$342 million (Figs 2C and 3, Table 3).

Discussion

To our knowledge, this paper collates for the first time the available country-level data on the epidemiology and costs of vivax malaria and estimates the associated global economic burden. The total global cost of vivax malaria in 2017 was estimated to be US$359 million, of which 82% was incurred by households and 18% by healthcare providers. The first scenario exploring how global costs would change with universal access to supervised radical cure following G6PD testing highlights that healthcare provider costs could nearly double while household costs could fall by almost a half, leading to cost savings of US$93.6 million and the prevention of 6.1 million malaria cases. The alternative scenario of G6PD testing prior to prescribing unsupervised primaquine could increase healthcare provider costs by 42%, but decrease household costs by only 15%, while preventing 2.1 million cases of vivax malaria. The overall cost savings in this scenario were reduced to US$17.7 million. Although realistically these changes would take time and resources to scale up and reap the benefits, the 2 scenarios provide useful insights into the potential impact of a policy and widespread implementation of G6PD screening and radical cure. Our analysis estimates the current global societal costs of vivax malaria and the prospects for reducing these costs if radical cure strategies were to be widely implemented; it is not, however, a comprehensive cost-effectiveness analysis for the introduction of radical cure strategies and programmes, which would require consideration of other factors and further contextual and country-specific adaptations. Changing antimalarial policy and practice, for instance, would incur further investment in implementation activities, including training and strengthening supply lines, and these costs can be substantial [41,42], and should be included in the country-level cost-effectiveness analyses. The increased healthcare provider costs that we describe alongside the additional resources needed to implement the policy changes might present a major challenge for sustained financing and a disincentive to changing national policy. To put this in context, however, the additional US$39 million provider expenses required for global G6PD screening and treatment represents only 1% of the US$3.1 billion spent on malaria control activities in 2017, an investment that could potentially halve the global burden of P. vivax. Since a large proportion of vivax malaria episodes are attributable to relapses [43,44], investment in safe and effective radical cure will be crucial to achieving the timely elimination of vivax malaria. Adherence to a complete course of primaquine remains a key obstacle in implementing effective radical cure even for the 7-day course [45], and yet little research has been undertaken to design suitable options to address this. Potential solutions include supervised administration of tablets (as presented in our analysis), or potentially lower cost solutions such as phone calls or text messages, and educational programmes for healthcare workers, patients, and communities [12,46]. The sensitivity analysis highlighted that if high adherence could be achieved with a single visit, then the provider costs would be similar to the baseline global costs. Timely patient review provides an important opportunity to identify drug-related adverse effects, such as gastrointestinal upset or primaquine-induced haemolysis early, so that medication can be stopped and further deterioration prevented. The introduction of single-dose tafenoquine provides another alternative that avoids the challenges of compromised adherence; however, this will require more stringent and costly diagnosis of G6PD deficiency with a quantitative test to exclude treatment of individuals with intermediate or severe deficiency (<70% enzyme activity). Routine quantitative G6PD testing requires hand-held devices to be placed at healthcare facilities, adding significant provider costs. Since these costs will vary considerably with patient throughputs and which levels of healthcare facilities the devices are utilised at, we were unable to include them in our analysis. Until tafenoquine and quantitative testing become widely available, primaquine will continue to be the standard of care; and thus complementary interventions to improve adherence will be critical to malaria elimination efforts. The scenario analyses focused on the reduction of recurrent infections due to relapsing infections and do not take into consideration the impact on transmission, which can be substantial [47]. Recent estimates suggest that over 70% of recurrent infections are likely to be due to relapsing infections [39]; these constitute a major determinant of transmission, sustaining endemicity over seasonal fluctuations in vector numbers [48]. Furthermore, since recurrent episodes of vivax malaria can result in a cumulative risk of severe anaemia and its associated morbidity and mortality, implementation of effective radical cure is likely to have both direct benefits (i.e., case reductions) as well as indirect benefits by reducing hospitalization and clinic encounters associated with increased susceptibility to other comorbidities [4]. These factors imply that we have likely underestimated the benefits of radical cure. While we did not attempt to capture the cost of deaths due to vivax malaria, we did include the cost of time lost to illness [19]. The inclusion and valuation of productivity losses, or costs associated with inability to work or participate in leisure activities due to illness or death, is challenging, particularly in individuals who would not be receiving a wage for their usual activities. Estimates of GDP per capita per day were applied to carers for all cases, but only to patients older than 5 years of age, in order to valuate productivity losses for adults and educational impact for children. Restricting patient days lost in the baseline global costs to adults 15 years and older reduced productivity losses by US$56 million. It should be noted, however, that these calculations do not attempt to account for wider long-term economic impacts of disease, such as school performance [49,50], decreased fertility [51], and labor productivity [52]. Our study has a number of important limitations. A key determinant of the global cost was the national estimates of vivax malaria cases, which varied significantly due to the quality of national reporting and treatment-seeking practices. The case estimates from 3 countries with the highest economic burden of vivax malaria (India, Pakistan, and Venezuela) have been inflated from the nationally reported data to reflect reporting completeness; these adjustments are necessary but introduce further uncertainty into the analysis. Case counts are scaled up based on the estimated treatment-seeking rates in each country. The rate of seeking care and percentage of this which occurs through facilities that are integrated into the health management information systems varies widely between vivax-endemic countries [53]. The age-specific case estimates were obtained from a model developed for falciparum malaria [23,24]. As more age-specific data become available through digital platforms for managing routine surveillance data, this model could be recalibrated to better reflect the epidemiology of vivax malaria in the future. While most parameters will vary across different endemic settings, estimates are often imprecise and only available from a few locations. In the Unsupervised radical cure scenario, effectiveness was a key determinant with a range of 10% [11] to 70%. Another critical factor that was not accounted for in our analysis was the proportion of healthcare providers who prescribe primaquine to vivax malaria patients where the treatment regimen is recommended in national antimalarial guidelines. This will be influenced by a range of factors including supply chain, cost, and fear of causing primaquine-induced haemolysis in areas where G6PD testing is unavailable [18]. The scenario analyses only included costs over a 1-year time horizon; accordingly, relapses prevented beyond the time frame are not captured, thus underestimating the cost savings. The cost of scale-up required to achieve provider compliance with G6PD screening and radical cure are also not included, underestimating the cost of implementation. Furthermore, the long-term effects are likely to fluctuate over time, particularly as countries near elimination and cases become rare events. Costs specific to vivax malaria vary widely between countries but, in view of the sparse data, cost estimates had to be extrapolated regionally. Public provider costs were applied to all individuals seeking treatment, reflecting the economic cost of treatment, while patient costs would likely be higher when seeking treatment at private providers. Furthermore, relapse patterns can vary considerably within and between countries, particularly high burden and geographically diverse countries such as India and Indonesia, impacting the costs and benefits of radical cure. Finally, the costs of primaquine-induced haemolysis were not factored into the analysis, since these were assumed to be relatively rare and have significant variability in their frequency and severity [16]. To address these uncertainties and facilitate investigation of individual country scenarios, an online application is provided, so that these parameters can be varied and their impact on costs explored (http://lab.qmalaria.org/shiny/appPVcost/). As further data on these parameters are collected and their bounds determined, the certainty of the global cost burden estimates will improve significantly. In conclusion, our analysis highlights the substantial global economic burden of vivax malaria, which is driven primarily by direct household costs and productivity losses. Provision of safe and effective radical cure is possible but will require an increased investment that could be a disincentive to national malaria control programmes. Our findings suggest that such an investment could ensure high antirelapse effectiveness with substantial cost savings at the societal level and reductions in malaria case numbers. Novel point-of-care G6PD tests are now available along with short-course radical cure regimens such as 7-day primaquine regimen and tafenoquine, which will improve adherence and effectiveness substantially [14,15,54]. Widespread safe and effective radical cure after screening for G6PD deficiency presents a critical challenge for the management of vivax malaria; quantifying the costs and outcomes associated with this treatment will pave the way to the ultimate elimination of the parasite.

Consolidated Health Economic Evaluation Reporting Standards (CHEERS) guidelines.

(PDF) Click here for additional data file.

Country-level parameter values.

All costs are in 2017 United States Dollars. (XLSX) Click here for additional data file.

Regional cost parameters.

All costs are in 2017 United States Dollars. (PDF) Click here for additional data file.

Cost per case for healthcare providers and sensitivity analysis excluding productivity losses in children in the baseline global costs, and additional cost results for the Supervised radical cure and Unsupervised radical cure scenarios.

All costs are in 2017 United States Dollars. (XLSX) Click here for additional data file.

Age-stratified case and cost results for the baseline global costs and Supervised radical cure and Unsupervised radical cure scenarios.

All costs are in 2017 United States Dollars. (XLSX) Click here for additional data file.

Equations describing the percent reduction in cases for the radical cure scenarios.

(PDF) Click here for additional data file.

Global assumptions, data sources, and distributions for the probabilistic sensitivity analysis.

(PDF) Click here for additional data file. 30 Sep 2020 Dear Dr Devine, Thank you for submitting your manuscript entitled "Global economic costs due to vivax malaria and the potential impact of its radical cure" for consideration by PLOS Medicine. Your manuscript has now been evaluated by the PLOS Medicine editorial staff and I am writing to let you know that we would like to send your submission out for external peer review. However, before we can send your manuscript to reviewers, we need you to complete your submission by providing the metadata that is required for full assessment. To this end, please login to Editorial Manager where you will find the paper in the 'Submissions Needing Revisions' folder on your homepage. Please click 'Revise Submission' from the Action Links and complete all additional questions in the submission questionnaire. Please re-submit your manuscript within two working days, i.e. by . 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Please revise your title according to PLOS Medicine's style. Your title must be nondeclarative and not a question. It should begin with main concept if possible. "Effect of" should be used only if causality can be inferred, i.e., for an RCT. Please place the study design ("A randomized controlled trial," "A retrospective study," "A modelling study," etc.) in the subtitle (ie, after a colon). 3. Abstract: a. Around lines 49-50: Please include date ranges for your data. b. Please perhaps include estimates of patients affected by vivax malaria, and a break-down by world regions. c. Please rename the “Interpretation” section to “Conclusions”. Please begin this section with “In our modelling study, we found that…” 4. Author Summary: Please briefly explain “vivax malaria” to a lay reader. 5. Please remove spaces from within citation callouts, eg: “…and indirect attributable mortality [4,5] and ongoing…” 6. Methods: Around lines 155-169: Please include date ranges for your data. 7. Line 388: Please clarify here: “To our knowledge, this paper collates for the first time…” 8. Please remove this text from reference 44: “coordinating a workshop in Port Moresby to provide advice on mathematical modelling to the Papua New Guinea National Malaria Control Programme. M.T.W., P.W. and A.G. declare that they have no other competing interests. All remaining authors declare no competing interests.” 9. Please ensure that the study is reported according to the CHEERS guidelines, and include the completed checklist as Supporting Information. When completing the checklist, please use section and paragraph numbers, rather than page numbers. Please mark itens not applicable as “n/a”. Please add the following statement, or similar, to the Methods: "This study is reported as per the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) guideline (S1 Checklist)." https://www.equator-network.org/wp-content/uploads/2013/04/Revised-CHEERS-Checklist-Oct13.pdf Academic editor feedback: 1. I agree with the first reviewer that GDP/capita/day probably underestimates the value of clinical providers' time. More important, though, is that it may also incorrectly value households' time, which makes up a fair share of the cost savings identified. From a colleague's paper about the cost of childhood malaria in Kenya: "Per capita income underestimates adult income because children are included in the calculation. However, per capita income overestimates average income because the distribution of income in Kenya is very skewed: 20% of the country's total population is estimated to earn 50% of national income." (Source: PMID 17196105). I would ask the authors to use a more thoughtful estimate of the value of time and to allow it to vary between providers and patients. The paper I cite here has some suggestions for how to do that. Even just providing examples of how this would affect results for a few of the highest burden countries would help. 2. The issue of "cost to whom," while mentioned, is not addressed sufficiently in the discussion. Treating vivax malaria substantially increases costs to providers. All the savings are to households, and a large share of these savings are not cash in hand (i.e. they are indirect benefits of not losing productive time). As the authors note, this makes the intervention look like a bad deal to governments. It also masks the value to households, which might appreciate the saved time but are unlikely to count it as an economic benefit unless there is an immediate income effect. A stronger discussion of how to frame interventions that impose an immediate financial cost on the provider to generate future benefits to patients would be welcome. --- Comments from the reviewers: Reviewer #1: Malaria eradication remains a global challenge despite numerous programs and initiatives to accomplish it, and this paper contributes positively by suggesting a fresh angle of attack to this problem. I also agree with the authors that P. vivax has probably received too little attention, and see this manuscript as a potentially important contribution. I also think the main conclusion is plausible that provision of a safe and radical cure is possible, and that it indeed will require and increased investment for national malaria control programs. However, I have some comments to the methods which in consequence means that I think this paper underestimates both the required investments and perhaps overestimate potential benefits. I will present the comments in an order which I perceive as decreasing importance: 1. My most substantial comment is about the costing of health providers, which are important since they represent the actual investments national health services need to make. The authors have chosen a societal perspective for cost estimation, which is commendable. They include direct and indirect household cost, as well as direct provider costs. The challenge, as I see it, is that the latter appears to be based on a rather narrow identification of provider cost items and therefore probably is underestimated. Provider costs are sometimes limited to facility level, which can be meaningful when comparing health interventions at facility level. The scope of this paper is however to discuss national scale-up of (i) screening and (ii) subsequent treatment. This will require national level efforts to build competence, set up routines for the different procedures and provide and monitor treatment. For example, training is required of the different cadres of laboratory and other health workers to facilitate these interventions. In order to provide repeated supervision of treatments, a system with village health workers need to be operational, sensitised and trained, and their availability probably varies substantially between the included countries. In sum, it appears that none of these systemic costs of scaling up these interventions have been evaluated. This seems apparent in Table 2, where the total provider costs for low-incidence countries such as Belize, Bhutan, China, El Salvador, Iran and Timor-Leste accumulate to between 50 and 200 USD. I recommend that the range of provider costs is re-evaluated in order to reflect more realistic measures for investments of the public health systems. 2. Also pertaining to provider cost is the assumption (line 229) that health workers time is valued using GDP per capita per day. While I think this is a reasonable assumption for national level valuation of productive time, I think this is an underestimate when applied to health workers. Many of the included countries have large informal sectors, such as subsistence farming and petty trade, with generally very low levels of income per capita that bias the national GDP estimates per capita downward. Health workers on the other hand belong to the formal sector, where the income levels are generally substantially higher. 3. Figure 1 is a flow chart illustrating the structure of procedures and costs. Early in the model, eligibility is considered if "patient is not pregnant, lactating or under the age of 1 year". This state may lead to G6PD testing and subsequent treatment. It is however confusing that exactly the same eligibility criteria are repeated further down in the procedures. Why this replication? 4. A different but related confusion is in lines 248-250, where it is explained that the cost of testing was applied to the patient population eligible to receive primaquine. I would expect that the cost of testing applied to all that were tested, not just those with an eligible test result. 5. In line 292, the administration of an anti-relapse dose is explained. This would become clearer if this outcome and procedure was described in the introduction. 6. The paper considers human transmission of P. vivax, but does not mention bovine transmission. How could the presence of bovine transmission influence on the results and conclusion? 7. Line 173 states "RDT or microscopy", while line 175 states "RDT and microscopy". Where both or only one of the procedures performed? This has relevance for costing. 8. Line 189: Please expand acronym FST on its first (and only?) appearance. 9. The paper use US$ exchange rates from 2016. This is fine, but it would have been more eloquent (and more update) to use 2017 rates, since this is also the base year for incidence estimates. Producing such a paper based on macro-level evidence is challenging, and will always entail many trad-offs between availability and quality of data. I believe this is something we must accept and that research such as this has merit and is of potential importance for policy formulation. The value of such research, in my opinion, lies primarily in its ability to provide a birds perspective of important public health issues rather than representing exact information at local levels. With some methodological improvements, I think this paper is publishable. Reviewer #2: This interesting manuscript describes the annual global cost of Plasmodium vivax malaria and estimates the cost savings associated with G6PD screening and radical cure assuming perfect and 30% adherence to treatment. Overall, it is an important topic that represents a contribution to the evidence based, but the analysis will be strengthened by addressing the comments noted below. Adherence scenarios: 30% adherence is considerably lower than the adherence documented for malaria treatment in most settings. As such, stronger justification should be provided for the selection of that level or a more reasonable alternative scenario should be described. Also- the abstract states 30% adherence, but the methods section (line 231 and 241) describes 40% adherence. Please align and clarify what was used. As noted above, a 40% figure seems more appropriate. Cost time horizon: The analysis considers the one year cost savings associated with the intervention. Given that the goal of mass screening and administration of radical cure throughout endemic countries, it is reasonable to assume that subsequent years would have further reductions in vivax transmission and, in turn, further savings. This should be better described within the limitations section. Additionally, interventions to improve care-seeking will also improve the impact of the proposed intervention. Supplementary Table 1- Costs for primaquine in each country should be added alongside the cost of RDT. Please confirm that these costs are currently included in the scenarios as it would be an important additional cost of introduction of radical cure. Minor comments: Line 220- I am assuming that the analysis assumes only screening patients who are symptomatic (or positive?) for vivax malaria. This should be explicitly stated. Line 228- what was the rationale / evidence for using ¼ of a healthcare worker's time per a case? This seems quite high. Figure 2- the blues used to denote the most expensive and second most expensive categories are very similar. I suggest changing to make it easier to differentiate India from the other countries. Table 2- it would be helpful to include an additional column with average cost per a case for each country to provide more evidence about the varied costs by country referenced in line 307. Line 466 Provision of access to the online application is very useful and an important contribution. Reviewer #3: This study is concerned with an interesting subject, the cost of vivax malaria. While the general question is important and the methodology is sound, there is a number of issues which require clarification and amendment. Specific comments are given below. A major choice in this exercise relates to the selection of the cure method. The authors focus exclusively on primaquine and appear to downgrade the option of treating patients with tafenoquine, which is only briefly mentioned throughout the paper, including a note in the discussion. This is a central/strategic option since using tafenoquine instead would alleviate the need for adherence in practice and the corresponding assumptions in this modelling study. Hence, if the authors will not add the options of treating patients with tafenoquine, a more extensive discussion is in order, with the relative pros and cons of the two treatments, including the option of meticulous (e.g. repeated) testing for G6PD deficiency combined with the use of tafenoquine. The authors describe their approach reasonably well. However, from a cost-effectiveness standpoint the results are somewhat mixed in that the cost is split, preventing from the reporting of traditional measures like per country ICERs and Incremental Net benefit. Can the authors possibly report such measures, perhaps accounting for the type of country-specific healthcare systems? The authors chose not to use an epidemic model for estimating the benefit of the proposed approach, therefore underestimating the benefit of indirect protection. I understand that using a full epidemic model may be out of the scope of the present paper, but wonder if the authors could use a multiplier for incorporating the indirect effect as a sensitivity analysis, thus giving a rough order of the complete benefit of the proposed measures, instead of simply calling it a conservative approach. It would be beneficial to add a table with the critical inputs, including the assumed sensitivity and specificity for each test, giving a sense of their importance in the output of the model. Please add a short discussion point regarding the completeness of capturing all the vivax cases and how the treatment-seeking reports may vary by country. The data in table 1 are slightly puzzling, having the eastern Mediterranean region (EMRO) as the one with the second highest burden. From inspecting the countries of table 2 (and table 4) it is unclear which of those are located in EMRO, is that a typo? --- Any attachments provided with reviews can be seen via the following link: [LINK] 15 Dec 2020 Submitted filename: Response to review (Global cost).docx Click here for additional data file. 25 Mar 2021 Dear Dr. Devine, Thank you very much for re-submitting your manuscript "Global economic costs due to vivax malaria and the potential impact of its radical cure: A modelling study" (PMEDICINE-D-20-04743R2) for review by PLOS Medicine. I have discussed the paper with my colleagues and the academic editor and it was also seen again by three reviewers. I am pleased to say that provided the remaining editorial and production issues are dealt with we are planning to accept the paper for publication in the journal. The remaining issues that need to be addressed are listed at the end of this email. Any accompanying reviewer attachments can be seen via the link below. 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Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. Please note, when your manuscript is accepted, an uncorrected proof of your manuscript will be published online ahead of the final version, unless you've already opted out via the online submission form. If, for any reason, you do not want an earlier version of your manuscript published online or are unsure if you have already indicated as such, please let the journal staff know immediately at plosmedicine@plos.org. If you have any questions in the meantime, please contact me or the journal staff on plosmedicine@plos.org. We look forward to receiving the revised manuscript by Apr 01 2021 11:59PM. Sincerely, Beryne Odeny Associate Editor PLOS Medicine plosmedicine.org ------------------------------------------------------------ Requests from Editors: - Please use the "Vancouver" style to reformat reference #10 and include a link to the online source. See our website for other reference guidelines https://journals.plos.org/plosmedicine/s/submission-guidelines#loc-references - Please update reference #3 Comments from Reviewers: Reviewer #2: No additional comments Reviewer #4: This manuscript provides estimates of the global costs associated with treating P. vivax malaria, and the potential benefit of expanding access to radical cure with primaquine. This manuscript had already been on a journey by the time it landed on my desk, having been read by three other reviewers, with the authors consequently undertaking substantial revisions. Having read the manuscript, the reviewers' comments, and the authors' response, I have found that the majority of the concerns that I would have had have already been addressed by the other reviewers - I thought they did a very thorough job. Nonetheless, I do have some minor comments. On a more general note, an analysis such as this is undeniably hard, and requires an enormous number of assumptions. Some of these assumptions may be inappropriate or downright wrong - such is the case with all model-based analyses. However, I do find the authors major assumptions to be reasonable and in line with current best practices for this sort of global health analysis. Whether current practices in global health analytics are up to scratch is a different debate. I would probably have done some things differently (e.g. demography, treatment effectiveness, adherence, etc.) but I don't believe any of these would substantially alter the work's findings. At the previous reviewers' request, the authors have included sensitivity analyses, and I find these to be satisfactory. It is tempting to ask for another 100 sensitivity analyses, but I don't think this would bring any additional value. In summary, I think this is a solid analysis whose qualities, and flaws, are in line with current best practices in large global health analytics. Minor comments * The online model is a very nice tool. * Please take care when referring to confidence versus credible intervals. There is a bit of inconsistency. * I think there's something wrong in Table 1. There may have been a mix up between the first and second iterations of the manuscript (bottom two rows). Please take a very careful look at this. * I found Table 3 quite unintuitive and it took me a while to work out what was going on. I preferred the format in the first iteration which broke the analyses into several columns. * The estimates in Table 4 of the percent reduction from baseline are critical, with a lot of variation between countries. Could the authors provide some additional explanation on how these estimates were obtained. Reviewer #5: This paper describes the total annual global cost of Plasmodium vivax malaria and estimates the cost savings associated with G6PD testing and radical cure assuming perfect and 30% adherence to treatment. This is an important topic and the total cost of Plasmodium vivax is under-studied. Though this could be considered as an additional cost-benefit model with little local implications, I fully agree with R1 that "producing such a paper based on macro-level evidence is challenging, and will always entail many trade-offs between availability and quality of data. I believe this is something we must accept and that research such as this has merit and is of potential importance for policy formulation. The value of such research, in my opinion, lies primarily in its ability to provide a birds perspective of important public health issues rather than representing exact information at local levels. With some methodological improvements". I thus also think that this paper is publishable. The authors have also taken a careful attention to previous comments made by 3 knowledgeable reviewers and I think their answers are satisfactory. I liked the fact that they consider heterogeneity in their estimates (notably by age) and that they provide an online tool (with their assumptions). My minor concerns related to this type of exercises are: 1/ The short-term horizon of the cost savings (one year) associated with the intervention or the full range of costs in the absence of intervention. Long-term versus short-term effects could be discussed more in the paper. In the absence of intervention, the long term effect may not be linear and could intensify or vanish over time. 2/ The range of costs considered in this study. Many economic studies have shown that vivax malaria control may have a broader range of economic consequences than the one analyzed in a cost-of-illness perspective. The authors do not make reference to such estimates and economic literature. The estimated costs thus certainly represent a low bound in this perspective. See e.g. and amongst other: - Bleakley, H. (2010). `Malaria eradication in the Americas: A retrospective analysis of childhood exposure', American Economic Journal: Applied Economics, pp. 1{45. - Burlando, A. (2015). `The Disease Environment, Schooling, and Development Outcomes: Evidence from Ethiopia', The Journal of Development Studies, vol. 51(12), pp. 1563{1584,ISSN 0022-0388, doi:10.1080/00220388.2015.1087512. - Lucas, A.M. (2010). `Malaria eradication and educational attainment: evidence from Paraguay and Sri Lanka', American Economic Journal: Applied Economics, vol. 2(2), pp. 46{71. - Lucas, A.M. (2013). `The impact of malaria eradication on fertility', Economic Development and Cultural Change, vol. 61(3), pp. 607{631. 3/ The potential effects of interventions across areas with different institutions, different risks, different health systems (put differently, externalities or general equilibrium effects) that are only partially addressed. These comments apply more generally to similar costs of illness studies, and model-based cost-benefits or cost-effectiveness analyses of this kind. It does not mean that they are not useful as mentioned above if one takes them with caution. I do think the discussion is sufficiently cautious here to avoid this caveat. Any attachments provided with reviews can be seen via the following link: [LINK] 3 Apr 2021 Submitted filename: R2 Response - global cost v2.docx Click here for additional data file. 7 Apr 2021 Dear Dr Devine, On behalf of my colleagues and the Academic Editor, Dr. Sydney Rosen, I am pleased to inform you that we have agreed to publish your manuscript "Global economic costs due to vivax malaria and the potential impact of its radical cure: A modelling study" (PMEDICINE-D-20-04743R3) in PLOS Medicine. Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. 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If you have not yet opted out of the early version process, we ask that you notify us immediately of any press plans so that we may do so on your behalf. We also ask that you take this opportunity to read our Embargo Policy regarding the discussion, promotion and media coverage of work that is yet to be published by PLOS. As your manuscript is not yet published, it is bound by the conditions of our Embargo Policy. Please be aware that this policy is in place both to ensure that any press coverage of your article is fully substantiated and to provide a direct link between such coverage and the published work. For full details of our Embargo Policy, please visit http://www.plos.org/about/media-inquiries/embargo-policy/. To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols Thank you again for submitting to PLOS Medicine. We look forward to publishing your paper. Sincerely, Beryne Odeny Associate Editor PLOS Medicine
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1.  Defining the relationship between Plasmodium vivax parasite rate and clinical disease.

Authors:  Katherine E Battle; Ewan Cameron; Carlos A Guerra; Nick Golding; Kirsten A Duda; Rosalind E Howes; Iqbal R F Elyazar; Ric N Price; J Kevin Baird; Robert C Reiner; David L Smith; Peter W Gething; Simon I Hay
Journal:  Malar J       Date:  2015-05-07       Impact factor: 2.979

2.  Modeling the dynamics of Plasmodium vivax infection and hypnozoite reactivation in vivo.

Authors:  Adeshina I Adekunle; Mykola Pinkevych; Rose McGready; Christine Luxemburger; Lisa J White; François Nosten; Deborah Cromer; Miles P Davenport
Journal:  PLoS Negl Trop Dis       Date:  2015-03-17

3.  Key Knowledge Gaps for Plasmodium vivax Control and Elimination.

Authors:  Quique Bassat; Mar Velarde; Ivo Mueller; Jessica Lin; Toby Leslie; Chansuda Wongsrichanalai; J Kevin Baird
Journal:  Am J Trop Med Hyg       Date:  2016-07-18       Impact factor: 2.345

4.  Mathematical modelling of the impact of expanding levels of malaria control interventions on Plasmodium vivax.

Authors:  Michael T White; Patrick Walker; Stephan Karl; Manuel W Hetzel; Tim Freeman; Andreea Waltmann; Moses Laman; Leanne J Robinson; Azra Ghani; Ivo Mueller
Journal:  Nat Commun       Date:  2018-08-17       Impact factor: 14.919

5.  Mapping the global endemicity and clinical burden of Plasmodium vivax, 2000-17: a spatial and temporal modelling study.

Authors:  Katherine E Battle; Tim C D Lucas; Michele Nguyen; Rosalind E Howes; Anita K Nandi; Katherine A Twohig; Daniel A Pfeffer; Ewan Cameron; Puja C Rao; Daniel Casey; Harry S Gibson; Jennifer A Rozier; Ursula Dalrymple; Suzanne H Keddie; Emma L Collins; Joseph R Harris; Carlos A Guerra; Michael P Thorn; Donal Bisanzio; Nancy Fullman; Chantal K Huynh; Xie Kulikoff; Michael J Kutz; Alan D Lopez; Ali H Mokdad; Mohsen Naghavi; Grant Nguyen; Katya Anne Shackelford; Theo Vos; Haidong Wang; Stephen S Lim; Christopher J L Murray; Ric N Price; J Kevin Baird; David L Smith; Samir Bhatt; Daniel J Weiss; Simon I Hay; Peter W Gething
Journal:  Lancet       Date:  2019-06-19       Impact factor: 79.321

6.  Provider and household costs of Plasmodium vivax malaria episodes: a multicountry comparative analysis of primary trial data.

Authors:  Angela Devine; Ayodhia P Pasaribu; Tedlla Teferi; Huong-Thu Pham; Ghulam Rahim Awab; Febrina Contantia; Thuy-Nhien Nguyen; Viet-Thanh Ngo; Tinh-Hien Tran; Asrat Hailu; Kim Gilchrist; Justin A Green; Gavin Ckw Koh; Kamala Thriemer; Walter Rj Taylor; Nicholas Pj Day; Ric N Price; Yoel Lubell
Journal:  Bull World Health Organ       Date:  2019-09-27       Impact factor: 9.408

7.  Malaria is associated with poor school performance in an endemic area of the Brazilian Amazon.

Authors:  Sheila Vitor-Silva; Roberto C Reyes-Lecca; Tamam R A Pinheiro; Marcus V G Lacerda
Journal:  Malar J       Date:  2009-10-16       Impact factor: 2.979

8.  Standardizing estimates of the Plasmodium falciparum parasite rate.

Authors:  David L Smith; Carlos A Guerra; Robert W Snow; Simon I Hay
Journal:  Malar J       Date:  2007-09-25       Impact factor: 2.979

Review 9.  How patients take malaria treatment: a systematic review of the literature on adherence to antimalarial drugs.

Authors:  Katia Bruxvoort; Catherine Goodman; S Patrick Kachur; David Schellenberg
Journal:  PLoS One       Date:  2014-01-20       Impact factor: 3.240

10.  Estimating the Proportion of Plasmodium vivax Recurrences Caused by Relapse: A Systematic Review and Meta-Analysis.

Authors:  Robert J Commons; Julie A Simpson; James Watson; Nicholas J White; Ric N Price
Journal:  Am J Trop Med Hyg       Date:  2020-09       Impact factor: 2.345

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  3 in total

1.  Using observed incidence to calibrate the transmission level of a mathematical model for Plasmodium vivax dynamics including case management and importation.

Authors:  Clara Champagne; Maximilian Gerhards; Justin Lana; Bernardo García Espinosa; Christina Bradley; Oscar González; Justin M Cohen; Arnaud Le Menach; Michael T White; Emilie Pothin
Journal:  Math Biosci       Date:  2021-12-07       Impact factor: 2.144

2.  Malaria vaccine: The lasting solution to malaria burden in Africa.

Authors:  Abidemi Olugbenga Adeyemo; Abdullahi Tunde Aborode; Munira Aminu Bello; Agwuna Favour Obianuju; Mohammad Mehedi Hasan; Dada Oluwasogo Kehinde; Md Shahadat Hossain; Mainak Bardhan; Jegede Oluwatoyin Imisioluwa; Ashraf Akintayo Akintola
Journal:  Ann Med Surg (Lond)       Date:  2022-06-22

3.  Band 3-mediated Plasmodium vivax invasion is associated with transcriptional variation in PvTRAg genes.

Authors:  Katlijn De Meulenaere; Surendra Kumar Prajapati; Elizabeth Villasis; Bart Cuypers; Johanna Helena Kattenberg; Bernadine Kasian; Moses Laman; Leanne J Robinson; Dionicia Gamboa; Kris Laukens; Anna Rosanas-Urgell
Journal:  Front Cell Infect Microbiol       Date:  2022-09-30       Impact factor: 6.073

  3 in total

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