1
1 Title: Maternal immunisation against Group B Streptococcus: a global analysis of health impact and
2 cost-effectiveness
3
4 Authors
5 Simon R. Procter1,2*, Bronner P. Gonçalves1,2, Proma Paul1,2, Jaya Chandna1,2, Farah Seedat1,2, Artemis
6 Koukounari1,2, Raymond Hutubessy3, Caroline Trotter4, Joy E Lawn1,2, Mark Jit1,5*
7
8 *Corresponding authors:
[email protected];
[email protected]
9
10 Affiliations
11 1. Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United
12 Kingdom
13 2. Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine,
14 London, United Kingdom
15 3. Department of Immunization, Vaccines and Biologicals (IVB), World Health Organization, Geneva, Switzerland
16 4. Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
17 5. School of Public Health, University of Hong Kong, Hong Kong SAR, China
18
19
20
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NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.
2
21 Abstract
22 Background
23 Group B Streptococcus (GBS) can cause invasive disease (iGBS) in young infants, typically presenting
24 as sepsis or meningitis, and is also associated with stillbirth and preterm birth. GBS vaccines are
25 under development, but their potential health impact and cost-effectiveness have not been assessed
26 globally.
27
28 Methods
29 We assessed the health impact and value (using net monetary benefit, NMB, which measures both
30 health and economic effects of vaccination into monetary units), of GBS maternal vaccination across
31 183 countries in 2020. Our analysis uses a decision-tree model, combining risks of GBS-related
32 outcomes from a Bayesian disease burden model with estimates of GBS related costs and Quality-
33 Adjusted Life Years (QALYs) lost. We assumed 80% vaccine efficacy against iGBS and stillbirth,
34 following the WHO Preferred Product Characteristics, and coverage based on the proportion of
35 pregnant women receiving at least four antenatal visits. One dose was assumed to cost $50 in high-
36 income countries, $15 in upper-middle income countries, and $3.50 in low-/lower-middle income
37 countries. We estimated NMB using alternative normative assumptions that may be adopted by
38 policy makers.
39
40 Findings
41 Vaccinating pregnant women could avert 214,000 (95% uncertainty range 151,000 – 457,000) infant
42 iGBS cases, 31,000 deaths (14,000 – 67,000), 21,000 (9,000 – 52,000) cases of neurodevelopmental
43 impairment, and 23,000 (10,000 – 58,000) stillbirths. A vaccine effective against GBS-associated
44 prematurity might also avert 172,000 (13,000 – 378,000) preterm births. Globally, a 1-dose vaccine
45 programme could cost $1.7 billion but save $385 million in healthcare costs. Estimated global NMB
46 ranged from $1.1 billion ($-0.2 – 3.8 billion) to $17 billion ($9.1 – 31 billion).
47
48 Interpretation
49 Maternal GBS vaccination could have a large impact on infant morbidity and mortality globally and
50 at reasonable prices is likely to be cost-effective.
51
52
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3
53 INTRODUCTION
54 Streptococcus agalactiae, commonly known as Group B Streptococcus (GBS), is an important
55 bacterial pathogen causing morbidity and mortality in pregnant women and their babies and is also
56 increasingly recognised as a cause of disease in non-pregnant adults.1–3 Invasive GBS (iGBS) disease
57 in neonates and young infants can result from maternal colonisation and vertical transmission or
58 environmental exposure after birth. It is classified by age at onset with early-onset GBS (EOGBS)
59 occurring in the first 6 days of life, and late-onset disease (LOGBS) occurring between ages 7 and 89
60 days, and typically presents as sepsis, meningitis, or pneumonia. In 2020, an estimated 20 million
61 pregnant women globally were colonised with GBS resulting in 231,000 (114,000 – 455,000) cases of
62 EOGBS and a further 162,000 (70,000 – 394,000) LOGBS cases.1 Together these were estimated to
63 have caused 58,000 to 91,000 infant deaths depending on the assumptions made about mortality in
64 cases without access to healthcare. Furthermore, survivors of iGBS are at risk of long-term
65 neurological sequelae with an estimated 37,100 (14,600 – 96,200) surviving infants developing
66 moderate or severe neuro-developmental impairment (NDI).1,4 Maternal colonisation with GBS is
67 also an important cause of adverse pregnancy outcomes with an estimated 46,000 (20,000 –
68 111,000) GBS stillbirths and is potentially linked with 518,000 (36,000 – 1,142,000) excess preterm
69 births.
70
71 Currently the main strategies for preventing iGBS are based on intrapartum antibiotic prophylaxis
72 (IAP). Many higher-income countries have reduced EOGBS incidence through IAP with eligible
73 pregnant women identified either through risk-factor based screening or routine testing based on
74 microbiological culture.5 Despite this success IAP has several limitations, notably it is not effective
75 against LOGBS or GBS-associated stillbirths. In addition, the need for access to laboratory testing for
76 microbiological screening based strategies, and the requirement to deliver antibiotics intravenously
77 substantially limits the prospect of attaining high IAP coverage in many low-resource settings where
78 the burden of iGBS is highest.5 There are also concerns that routine administration of antibiotics
79 could contribute to antimicrobial resistance and might also have unintended impacts on the gut
80 microbiota of newborns.6 Hence, there is substantial interest in alternative approaches to
81 prevention.
82
83 Maternal immunisation is a potential alternative strategy whereby vertical transfer of antibodies in
84 utero from a woman vaccinated during pregnancy affords protection to the mother, unborn foetus
85 and newborn infant.7 Maternal immunisation with Tetanus Toxoid has been successfully used to
86 reduce the burden of neonatal tetanus since the 1970s and, in the last decade, countries have been
87 increasingly recommending routine vaccination of pregnant women against influenza and pertussis.8
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4
88 In 2015 development of a maternal vaccine against GBS was identified as a priority by the WHO
89 Product Development for Vaccines Advisory Committee (PDVAC),9 and three GBS maternal vaccine
90 candidates have progressed to Phase-2 clinical trials.10 In 2021, the licensure of an affordable GBS
91 vaccine by 2026 was identified as a key milestone in the WHO global roadmap for Defeating
92 Meningitis by 2030.11
93
94 There have been previous economic evaluations of maternal GBS vaccination in the United States,12–
95 14 Europe,15–17 and Sub-Saharan Africa.18–20 However, none of these studies have estimated the value
96 of GBS vaccination in all world regions. A global economic evaluation of GBS vaccination is important
97 to drive investment into vaccine development by indicating the vaccine’s potential value in different
98 markets. It would also enable financing and pricing mechanisms to be put in place for equitable
99 access to the vaccine once it is available. Such an evaluation is central to a Full Value of Vaccines
100 Assessment (FVVA), which WHO has identified as key to catalysing vaccine development and
101 subsequent equitable access.21,22 To inform the WHO GBS vaccine FVVA,23 we conducted the first
102 global economic evaluation of maternal GBS vaccination in 183 countries, drawing on recently
103 updated global disease burden estimates for GBS.1
104
105 METHODS
106 Model overview
107 We developed a decision-tree model (Fig. 1) to assess the health impact and cost-effectiveness of
108 maternal vaccination against GBS in an annual cohort of pregnant women and their babies for the
109 year 2020 compared with current practice of no vaccination. The size of the cohort of women in
110 each country was calculated by combining country-specific estimates of the number of births from
111 the United Nations World Populations Prospects (UNWPP)24 together with the stillbirth risk from the
112 WHO Global Health Observatory.25 Our analysis included the 183 countries out of 195 UN member
113 states for which UNWPP birth data was available, which excludes countries with estimated
114 populations below 90,000.
115
116 The health impact model structure was designed to reflect the natural history of pregnancy related
117 GBS infections and was aligned with the modelling framework used in recently reported global
118 estimates of GBS burden.1,26 The model first stratifies pregnant women based on GBS colonisation
119 status, and then by whether pregnancy results in a live birth or stillbirth. Live births are further sub-
120 divided into preterm and term births, with infants then at risk of developing either EOGBS or LOGBS;
121 the risk of EOGBS amongst babies born to non-colonised mothers was assumed zero. Invasive GBS
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122 disease (EOGBS or LOGBS) may then result in death or, amongst survivors of GBS sepsis or
123 meningitis, either full recovery or long-term neurodevelopmental impairment.
124
125 The analysis used the lifetime of babies as the analytical time-horizon with health costs and Quality
126 Adjusted Life Years (QALYs) calculated over the lifetime of infant iGBS survivors using country-
127 specific life expectancy at birth.24 The model was used to compare scenarios with vaccination plus
128 current practice against current practice without vaccination (i.e. assuming no change in each
129 country’s IAP policy following vaccine introduction). All analyses were performed using R version
130 4.0.2. A Consolidated Heath Economic Evaluation Reporting Standards (CHEERS) checklist is provided
131 in supplementary appendix 1.
132
133 Figure 1: Decision tree for GBS-related outcomes in children for an annual birth cohort in 183 countries
134 comparing maternal vaccination against no vaccination (current standard of care) Numbered boxes
135 represent repeated model structure, however the risks for some outcomes vary across repeated branches.
136
137 Disease risk
138 Model inputs are summarised in supplementary appendix A2. We parameterised the probability of
139 different GBS-related outcomes in our model using posterior samples of key epidemiological
140 parameters from the global burden estimates reported by Gonçalves et al.1 We used country-specific
141 estimates of the prevalence of maternal GBS colonisation and of the risk of EOGBS in infants born to
142 colonised mothers. The risks of LOGBS were then calculated using region-specific estimates of the
Mother
not
colonised
EOGBS
LOGBS
Stillbirth
Mother
colonised
iGBS death
iGBS survivor
Sepsis
Meningitis
Livebirth
Term
Preterm
Pregnant
women per
country
No iGBS
No NDI
Mild NDI
Mod. NDI
Severe NDI
No NDI
Mild NDI
Mod. NDI
Severe NDI
Maternal vaccination
No vaccination
1
21
2 3
3 4
4
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6
143 fraction of iGBS cases that are EOGBS vs LOGBS. Regional classifications were based on the United
144 Nations (UN) Sustainable Development Goal (SDG) region definitions.27
145
146 Case fatality risks (CFR) for EOGBS and LOGBS were also based on regional level estimates from
147 Gonçalves et al. There are no data on CFRs for infants with EOGBS without access to care, so the
148 authors considered two scenarios where they had either 90% CFR (following the approach of Seale
149 and co-workers3) or the same CFR as other infants with EOGBS. In our analysis, we assumed in the
150 base case that these infants had the same CFR as other infants with EOGBS, to be conservative about
151 this highly uncertain parameter and because mothers of these children might also be less likely to
152 receive maternal vaccines.
153
154 Among iGBS survivors the proportion of sepsis and meningitis, and the excess risk of mild, moderate,
155 and severe NDI outcomes after meningitis were based on pooled global estimates, while NDI risks
156 after sepsis were based on separate estimates for high-income and for low- and middle-income
157 countries. The excess risk attributable to iGBS exposure was calculated assuming a counterfactual
158 risk of mild or moderate and severe NDI amongst unexposed children from a large Danish cohort
159 study.28 We based the proportion of moderate and severe NDI that was severe on the same study.
160 Following the approach used in the burden estimation, our base case analysis included only the
161 excess risk of moderate or severe NDI, which is likely to be more consistent across settings, but
162 include mild NDI as a sensitivity analysis.1,4
163
164 To estimate country-specific GBS-associated stillbirth risk, national stillbirth estimates from the WHO
165 Global Health Observatory25 were combined with regional estimates of the proportion of stillbirths
166 caused by GBS.1 For the risk of GBS-associated prematurity we used national data on the proportion
167 of preterm births29 together with the global odds ratio for the association between GBS maternal
168 colonisation and preterm births.1 Further details on these calculations are provided in
169 supplementary appendix A2.3 and A2.4.
170
171 Health Outcomes
172 To calculate QALYs we assumed country-specific life-expectancy at birth for both normal births and
173 survivors of iGBS. For term births we assumed no reduction in Health-Related Quality-of-Life
174 (HRQoL), but for preterm births we applied a utility decrement over the child’s lifetime based on a
175 systematic review and meta-analysis by Petrou et al.30 For the acute iGBS episode we approximated
176 QALY loss assuming 29 days duration based on the average length-of-stay among studies in a recent
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177 systematic review of the acute costs of infant sepsis and meningitis,31 and applied health state utility
178 decrements for hospitalisation with acute sepsis or meningitis from a US study in young children.32
179 For survivors with long-term sequelae, we applied utility decrements for mild, moderate, and severe
180 NDI to each year of life and conservatively, given previous studies provide evidence of post-acute
181 mortality after bacterial meningitis,33,34 assumed no change in life-expectancy. These utility values
182 were based on a UK study, which assessed HRQoL in a cohort of children with NDI followed up at age
183 11.35
184
185 Vaccination
186 Although clinical studies have demonstrated immunogenicity of candidate GBS vaccines, to date
187 there have been no phase-3 efficacy trials.10 We therefore based our assumptions about vaccine
188 efficacy (VE) and other characteristics of a GBS vaccine on the WHO preferred product
189 characteristics (PPCs).36 In our base case we assumed a single-dose vaccine with 80% efficacy against
190 both infant iGBS disease and GBS-stillbirth across all GBS serotypes. We also assumed no effect on
191 GBS-associated prematurity because (i) the WHO PPC does not specify that GBS vaccines must
192 reduce colonisation, which is most likely pathway for preventing GBS-associated prematurity, and (ii)
193 the association between GBS maternal colonisation and higher risk of prematurity may be
194 confounded.37 It is likely that delivery of GBS vaccines will need to be timed in either the late second
195 trimester or third trimester and could be delivered through existing routine antenatal care (ANC)
196 services. Hence, we assumed vaccine coverage based on the proportion of pregnant women in each
197 country who attend at least four ANC visits (ANC4).25
198
199 We also considered a range of alternative scenarios (supplementary table 4): higher vaccine
200 coverage based on the proportion of women attending at least one ANC visit (ANC1); a two-dose
201 regimen; lower and higher VE (60% and 90%); and a vaccine that is also effective against GBS-
202 associated prematurity. For the latter scenario we estimated the proportion of preterm births that
203 are potentially protected through vaccination by combining the distribution of preterm births by
204 gestational age38 with the timing of vaccine visits based on country-specific ANC data39
205 (supplementary appendix A2.5).
206
207 Costs
208 Our analysis was undertaken from a healthcare payer economic perspective, and all costs are
209 reported in 2020 United States Dollars (USD). Where cost inputs were for different years they were
210 inflated using the World Bank Gross Domestic Product (GDP) deflator.40 Costs reported in different
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211 currencies were then converted to 2020 USD using historical foreign exchange rates.41 To estimate
212 acute healthcare costs, we combined one GBS-specific cost estimate from a study in the United
213 Kingdom,42 with the findings from a systematic review on the acute costs of infant sepsis and
214 meningitis43, and result of a recent study reporting the acute costs of neonatal bacterial sepsis and
215 meningitis in Mozambique and South Africa.44 We used linear regression to extrapolate country-
216 specific cost estimates using total per capita healthcare expenditure as a predictor (supplementary
217 appendix A2.6.) For long-term costs, no direct GBS-specific estimates exist in the literature. nnual
218 costs amongst survivors with moderate and severe NDI were parameterised as a fixed proportion of
219 between 4% and 28% of the acute cost estimate in each country, based on the range between a UK
220 study of costs in children with NDI35 and a US study of costs in adults with disabilities.45
221
222 For the vaccine programme costs we extrapolated results from a systematic review of maternal
223 vaccination delivery costs using regression against GDP per capita (supplementary appendix A2.7).31
224 We used previously estimated vaccine prices by World Bank country income group, which were
225 based on a combination of price benchmarking against other vaccines and cost of goods analysis:
226 $50 for high-income countries; $15 for upper-middle-income countries; and $3.50 for lower-middle-
227 income and low-income countries.46
228
229 Normative assumptions
230 A health intervention may be considered cost-effective if the cost per QALY gained falls below that
231 country’s cost-effectiveness threshold. Here we use two commonly cited thresholds: (i) country
232 gross domestic product per capita,47 (ii) published thresholds based on empirical estimates of the
233 health opportunity cost of health care spending (supplementary appendix A2.8).48,49
234
235 A second normative assumption is the QALY loss attributed to a stillbirth. In many settings these are
236 not assigned any health or disability weight, but it has been argued that they should be assigned a
237 QALY loss close or the same as that of the death of a newborn.50 Here we consider two scenarios,
238 one in which stillbirths are not assigned any QALY loss, and a second in which they are assigned the
239 same QALY loss as the death of a newborn.
240
241 Following WHO guidelines, we discount costs at 3% and health effects at both 0% and 3% in
242 alternative scenarios.51 Table 1 summarises the normative scenarios used.
243
244
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245 Table 1: Parameter values used for least and most favourable normative assumptions
Parameter Least favourable
Assumptions
Most favourable
assumptions
Discount rate 3% for costs and benefits 3% for costs; 0% for benefits
Inclusion of stillbirth quality-
adjusted life-years
Not included Included
Cost-effectiveness threshold Based on empirical estimates* 1 x GDP per capita
246 *Cost-effectiveness thresholds were based either on estimates from Ochalek et al. and Woods et al. See
247 supplementary appendix A2.8 for more detail.
248
249 Economic analysis
250 To assess the cost-effectiveness of GBS maternal vaccination compared to current practice, we
251 follow a Net Monetary Benefit (NMB) approach in which both the health and fiscal benefits of
252 vaccination are expressed in monetary units.52 To calculate the NMB the incremental benefits in
253 QALYs are multiplied by a country-specific cost-effectiveness threshold (CET; either empirical or 1 x
254 GDP per capita) in USD and then the incremental costs are subtracted. An intervention may be
255 considered cost-effective if the NMB is positive, since this is mathematically equivalent to the
256 incremental cost-effectiveness ratio (ICER) being less than the CET. In addition to NMB, we also
257 estimated the threshold price per dose at which a GBS vaccine would be cost-effective in each
258 country.
259
260 An advantage of adopting an NMB framework is that our estimates for individual countries can be
261 directly combined to estimate the aggregate value of vaccination both regionally and globally. To
262 account for parameter uncertainty, for each scenario we ran 4000 simulations per country and
263 calculated the median and the 95% uncertainty range (UR) based on 2.5 and 97.5 percentiles of the
264 simulations. At the country level we also calculated the probability maternal GBS vaccination was
265 cost-effective (i.e., the proportion of simulations with NMB > 0).
266
267 Role of the funding source
268 The funder of the study had no role in study design, data collection, data analysis, data
269 interpretation, or writing of the report.
270
271 RESULTS
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272 We estimate that vaccinating 99.8 million pregnant women across 183 countries could cost $1.7
273 billion but could save around $300 million in acute healthcare costs and $85 million in long-term
274 healthcare costs, although these estimates have wide uncertainty. Overall, the incremental cost of
275 GBS vaccination is about $1.3 billion, with the biggest cost increase in Europe and Northern America
276 (Table 2).
277
278 Globally, the vaccine programme could avert an estimated 127,000 (UR: 63,300 – 248,000) EOGBS
279 cases and 87,300 (UR: 38,100 – 209,000) LOGBS cases, thus avoiding 31,100 (UR: 14,400 – 66,400)
280 infant deaths and 17,900 (UR: 6,380 – 49,900) cases of moderate and severe NDI. Additionally,
281 23,000 (UR: 10,000 – 56,400) GBS stillbirths could be prevented and, if a vaccine also proves
282 effective against GBS associated prematurity, 185,000 (UR: 13,500 – 407,000) preterm births might
283 be avoided. The highest burden of iGBS cases and deaths, around two-fifths of the total, is averted in
284 Sub-Saharan Africa which accounts for about one-fifth of the women vaccinated. In contrast, only
285 about 1% of the deaths occur in Europe and Northern America despite a tenth of vaccinated women
286 being in this region.
287
288 Overall, iGBS cases averted through vaccination resulted in a projected gain of 2.5 million (UR: 1.2 –
289 5.4 million) undiscounted QALYs, and a further 1.5 million (UR: 0.6 – 3.6 million) QALYs when
290 avoided stillbirths are included. A vaccine that prevents GBS-associated prematurity could add
291 another 0.8 million (UR: 0.1 – 2.1 million) QALYs. The relative contribution of preventing iGBS,
292 stillbirths and prematurity to the overall QALY gain varies by region. For example, in Sub-Saharan
293 Africa, and Northern Africa and Western Asia preventing iGBS contributes the majority of the QALY
294 gain, but in Europe and Northern America, and Central and Southern Asia avoided stillbirths make a
295 larger contribution. In Europe and Northern America preventing preterm births might result in larger
296 QALY gains than iGBS cases and stillbirths combined.
297
Description Central &
Southern Asia
Eastern &
South-Eastern
Asia
Europe &
Northern
America
Latin America &
Caribbean
Northern Africa
& Western Asia Oceania Sub-Saharan
Africa Global^
Number of women vaccinated
(millions)
22.8 25.5 11.7 9.51 7.8 0.546 21.9 99.8
Vaccine programme costs
(discounted; $ millions)
124
(117, 136)
470
(452, 495)
648
(621, 687)
173
(169, 178)
127
(124, 131)
24.4
(22.9, 26.6)
107
(104, 112)
1,680
(1,640, 1,720)
Acute healthcare costs
(discounted; $ millions)
-7.93
(-17.4, -3.74)
-54.6
(-119, -24.9)
-155
(-352, -60.9)
-21.4
(-47.5, -10.7)
-27.8
(-56.9, -13.5)
-3.89
(-8.87, -1.57)
-14.3
(-30.5, -6.67)
-298
(-534, -155)
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Long-term healthcare costs
(discounted; $ millions)
-2.95
(-11.3, -0.581)
-19.8
(-79.2, -3.78)
-33.2
(-117, -7.02)
-8.13
(-31.1, -1.63)
-10
(-36.6, -2.08)
-0.871
(-2.97, -0.185)
-4.85
(-18.6, -1.01)
-86.5
(-252, -20.6)
Total incremental costs
(discounted; $ millions)
113
(96.6, 127)
394
(286, 446)
456
(200, 581)
143
(99.5, 160)
88.9
(39.5, 110)
19.6
(13, 23.2)
87.9
(60.6, 99.7)
1,290
(948, 1,490)
EOGBS cases
(thousands)
-22.8
(-43.6, -11.6)
-30.6
(-62.4, -14.5)
-3.37
(-5.94, -1.57)
-8.91
(-16.8, -4.72)
-17.9
(-36, -8.6)
-0.421
(-0.86, -0.207)
-42.3
(-86.4, -20.1)
-127
(-248, -63.3)
LOGBS cases
(thousands)
-11.3
(-33.1, -2.94)
-15.2
(-45.7, -3.86)
-1.99
(-4.2, -0.84)
-5.9
(-20.4, -1.94)
-12.9
(-33, -5.24)
-0.275
(-1.39, -0.0888)
-36.4
(-101, -14)
-87.3
(-209, -38.1)
Moderate & severe NDI cases
(thousands)
-2.91
(-8.52, -0.933)
-3.86
(-11.8, -1.21)
-0.257
(-0.572, -0.0975)
-1.31
(-3.99, -0.42)
-2.63
(-7.58, -0.9)
-0.0541
(-0.223, -0.0182)
-6.66
(-19.4, -2.2)
-17.9
(-49.9, -6.38)
GBS deaths
(thousands)
-4.22
(-9.6, -1.78)
-5.58
(-13.4, -2.32)
-0.335
(-0.668, -0.148)
-1.95
(-4.7, -0.804)
-4.76
(-10.8, -2.06)
-0.0836
(-0.336, -0.0242)
-13.6
(-32.2, -5.65)
-31.1
(-66.4, -14.4)
GBS stillbirths
(thousands)
-6.59
(-23, -1.63)
-3.13
(-10.9, -0.794)
-0.586
(-1.48, -0.206)
-1.34
(-8.35, -0.222)
-1.33
(-3.12, -0.591)
-0.0646
(-0.336, -0.0174)
-9.31
(-18.5, -4.12)
-23
(-56.4, -10)
GBS associated preterm births*
(thousands)
-34.7
(-78.5, -2.33)
-28.7
(-66.1, -2.05)
-33.2
(-72, -2.4)
-18.5
(-40.9, -1.37)
-23.8
(-52.4, -1.81)
-1.45
(-3.27, -0.103)
-44.4
(-97.4, -3.23)
-185
(-407, -13.5)
QALYs from averted GBS
disease
(discounted; thousands)
150
(66.3, 339)
203
(86.9, 485)
12.5
(5.64, 24.8)
70.2
(30.7, 168)
164
(73, 371)
2.96
(1.01, 10.6)
431
(186, 1,010)
1,060
(486, 2,270)
QALYs from averted stillbirths
(discounted; thousands)
180
(43.7, 627)
87.2
(21.7, 301)
16.5
(5.77, 41.3)
37.3
(6.18, 233)
36.9
(16.3, 85.9)
1.75
(0.474, 9.06)
243
(108, 486)
622
(271, 1,550)
QALYs from averted preterm
births*
(discounted; thousands)
63.6
(5.01, 162)
53.8
(4.24, 143)
62.4
(4.99, 160)
34.6
(2.77, 88.8)
44.2
(3.58, 113)
2.77
(0.213, 7.23)
77.4
(6.26, 198)
338
(27.6, 857)
QALYs from averted GBS
disease
(undiscounted; thousands)
358
(158, 807)
513
(220, 1,220)
32.7
(14.6, 64.6)
177
(77, 422)
408
(181, 923)
6.94
(2.46, 24.5)
947
(407, 2,230)
2,490
(1,160, 5,370)
QALYs from averted stillbirths
(undiscounted; thousands)
429
(104, 1,490)
218
(54.4, 752)
42.7
(15, 107)
94.1
(15.6, 586)
91.4
(40.4, 213)
4.19
(1.17, 20.9)
532
(237, 1,060)
1,460
(630, 3,670)
QALYs from averted preterm
births*
(undiscounted; thousands)
152
(12, 387)
135
(10.7, 359)
163
(13, 417)
87.8
(7.03, 225)
110
(8.91, 282)
7.3
(0.56, 19)
171
(13.8, 436)
825
(67.4, 2,090)
Table 2: Annual global and regional impact of GBS maternal vaccination compared with no vaccination for the year 2020
All values are reported to 3 significant figures. Values in brackets are 95% uncertainty ranges.
GBS = Group B Streptococcus; EOGBS = Early-Onset GBS; LOGBS = Late-Onset GBS; NDI = Neurodevelopmental Impairment; QALY = Quality Adjust Life Year.
*in scenario analysis where vaccine is assumed to have 80% VE against GBS associated prematurity
^global median values do not exactly equal the sum of the regional median values
298
299 Using our base case assumptions about the vaccine characteristics the estimated global NMB of
300 vaccination ranged from $1.1 billion (UR: $-0.2 – 3.9 billion) to $17 billion (UR: $9.1 – 31 billion)
301 depending upon the normative assumptions (Fig. 2A). Including stillbirth QALYs increases the NMB
302 by between $1.4 billion and $7.1 billion depending on the other normative assumptions made.
303
304 Under the most-favourable normative assumptions vaccination had a positive NMB in all regions
305 (Fig. 2B). However, for least-favourable assumptions the NMB was negative for Central and Southern
306 Asia, Europe and Northern America, and Oceania. Nevertheless, if stillbirth QALYs were included, the
307 NMB for these regions was again positive (Supplementary Fig. 1).
308
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309
310 Figure 2: Net Monetary Benefit of GBS maternal vaccination (A) globally under different normative
311 assumptions (see Table 1); and (B) by region for the most and least favourable normative assumptions.
312 Least-favourable normative assumptions were the use of an empirical CET, 3% discounting of QALYs, and
313 exclusion of stillbirth QALYs. Most-favourable assumptions were the use of 1 x GDP per capita CETs, 0%
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314 discounting of QALYs, and inclusion of stillbirth QALYs. M = Millions; B = Billions; CET = Cost-Effectiveness
315 Threshold; GDP = Gross Domestic Product; GDPPC = GDP per capita; QALY = Quality Adjusted Life Year; SB =
316 Stillbirth; SDG = Sustainable Development Goal.
317
318 For the most-favourable normative assumptions vaccination is likely cost-effective in almost all
319 countries (Fig 3.), but for least-favourable assumptions this was reduced to just over half (103/183)
320 of countries. Notably, vaccination was less likely to be cost-effective amongst countries with lower
321 GDP per capita within the Sub-Saharan Africa, Central & Southern Asia, and Europe & Northern
322 America regions.
323
324325 Figure 3: Probability that GBS maternal vaccination is cost-effective in each country under most favourable
326 and least favourable normative assumptions (see Table 1). Least-favourable normative assumptions were the
327 use of an empirical CET, 3% discounting of QALYs, and exclusion of stillbirth QALYs. Most-favourable
328 assumptions were the use of 1 x GDP per capita CETs, 0% discounting of QALYs, and inclusion of stillbirth
329 QALYs. CET = Cost-Effectiveness Threshold; GDP = Gross Domestic Product; GDPPC = GDP per capita; QALY =
330 Quality Adjusted Life Year; SB = Stillbirth; SDG = Sustainable Development Goal.
331
332 Figure 4 shows how the global NMB of vaccination varies under different scenarios. Inclusion of mild
333 NDI, assuming GBS births without skilled birth attendants have 90% case-fatality or increasing
334 vaccine efficacy from 80% to 90% slightly increase the global NMB of vaccination, while assuming
335 zero long-term costs for NDI slightly decreases the NMB. However, none of these assumptions have
336 a dramatic effect. If vaccine efficacy is decreased to 60%, global NMB remains positive under least-
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337 favourable assumptions, but the number of countries for which vaccination is no longer cost-
338 effective increases to 96 (Supplementary Fig. 4). A vaccine that requires two doses to achieve 80%
339 efficacy would have a negative global NMB, and vaccination would not be cost-effective in 111
340 countries. However, a vaccine with protection against preterm birth substantially increases the
341 global NMB and is especially influential in the Europe & Northern America region (see
342 Supplementary Fig. 2).
343
344345 Figure 4: Annual global Net Monetary Benefit of GBS maternal vaccination under most favourable and least
346 favourable normative assumptions (see Table 1) for different vaccination scenarios. Points show median
347 estimates and lines show 95% uncertainty ranges. Least-favourable normative assumptions were the use of an
348 empirical CET, 3% discounting of QALYs, and exclusion of stillbirth QALYs. Most-favourable assumptions were
349 the use of 1 x GDP per capita CETs, 0% discounting of QALYs, and inclusion of stillbirth QALYs. B = Billions; CET
350 = Cost-Effectiveness Threshold; CFR = Case Fatality Risk; GDP = Gross Domestic Product; NDI =
351 Neurodevelopmental Impairment; SBA = Skilled Birth Attendant; QALY = Quality Adjusted Life Year; VE =
352 Vaccine Effectiveness.
353
354 The distribution of vaccine threshold prices amongst countries within each World Bank income
355 group are shown in Figure 5 (results by SDG region are shown in Supplementary Fig. 5, and for other
356 vaccine scenarios in Supplementary Fig. 6). The threshold price is usually positive (i.e., there is some
357 price at which purchasing the vaccine would be cost-effective), and generally higher in high-income
358 and upper-middle-income countries. However, under least-favourable normative assumptions
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359 threshold price is negative in eight countries, indicating that even with a free vaccine the delivery
360 costs outweigh the health benefits in this analysis.
361362 Figure 5: Distribution of GBS vaccine threshold prices amongst countries within each World Bank income
363 group under most and least favourable normative assumptions (see Table 1). Threshold vaccine prices above
364 $800 per dose are not shown. Least-favourable normative assumptions were the use of an empirical CET, 3%
365 discounting of QALYs, and exclusion of stillbirth QALYs. Most-favourable assumptions were the use of 1 x GDP
366 per capita CETs, 0% discounting of QALYs, and inclusion of stillbirth QALYs. CET = Cost-Effectiveness Threshold;
367 GDP = Gross Domestic Product; QALY = Quality Adjusted Life Year.
368
369 DISCUSSION
370 A high-coverage global maternal immunisation programme against GBS could avert hundreds of
371 thousands of GBS cases, alongside tens of thousands of deaths, stillbirths, and cases of long-term
372 disability. We estimate that such a programme may have a net cost of around $1.4 billion, with most
373 costs occurring in Europe and Northern America. Nevertheless, it would be cost-effective in most
374 countries under favourable assumptions, particularly if it can reduce preterm births.
375
376 Even under less favourable assumptions, a single-dose GBS vaccine could still be cost-effective due
377 to additional factors we did not explore. In some high-income countries, GBS vaccination plus
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378 current practice may be less cost-effective compared to current practice alone because of lower GBS
379 incidence in babies due to IAP. However, GBS vaccination might allow high-income countries to
380 achieve additional cost savings by revising IAP algorithms for vaccinated mothers. In low- and lower-
381 middle income countries, iGBS incidence may be higher, but so is the health opportunity cost of
382 healthcare spending due to budget constraints leading to lower thresholds at which interventions
383 may be considered cost-effective.
384
385 More competitive pricing may enable vaccination to be cost-effective, even under least favourable
386 assumptions. Competitive and finely tiered vaccine prices could also be beneficial for
387 manufacturers, with financial analyses suggesting that high global demand is needed to ensure the
388 development costs of a GBS vaccine to be recouped.46 Our economic evaluation can inform both
389 manufacturers and donors investigating the financial viability of investing in GBS vaccine
390 development, as well as countries identifying the price they should be willing to pay for such a
391 vaccine.
392
393 Our study is the first to estimate the value of maternal GBS vaccination across all regions and
394 country income groups. Previous analyses have estimated cost-effectiveness in the United States,12–
395 14 the Netherlands,17 United Kingdom,15,16 South Africa,19 The Gambia,18 and 37 Gavi countries in
396 Africa.20 These prior estimates suggested cost-effectiveness of vaccination ranged from $320-573
397 per DALY averted in Gavi-eligible countries,20 to $3550 per DALY averted in South Africa,19 to over
398 $50,000 per QALY in the United States,12,13 which is broadly consistent with our results. Like our
399 analysis, Kim et al. also found that the ability to avert GBS-associated prematurity greatly improved
400 vaccine cost-effectiveness.19
401
402 This was the first cost-effectiveness study to use new global estimates of the health burden due to
403 GBS including infant morbidity and mortality, long-term neurodevelopmental impairment, stillbirth,
404 and GBS-associated prematurity. This burden study propagated parametric uncertainty
405 comprehensively by using a Bayesian framework to synthesise existing data sources. Posterior
406 distributions from the study then informed a probabilistic sensitivity analysis for our cost-
407 effectiveness model. Similarly, for cost data, parameters with multiple sources of data from previous
408 systematic reviews were synthesised using regression models. Conversely, the main limitations of
409 our analysis reflected parameters with limited data such as those governing health-related quality of
410 life and long-term costs from disability, where estimates were based on only 1-2 relevant studies.
411 Our analysis also excluded the potential impact of vaccination on maternal morbidity and the costs
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17
412 of GBS-related disability beyond the health-sector. However, both these factors would likely
413 reinforce our main findings on cost-effectiveness.
414
415 A further set of uncertainties govern GBS vaccine characteristics such as efficacy, number of doses
416 needed and impact on GBS-associated prematurity. Since there is currently no licensed vaccine,
417 these parameters were informed by the WHO PPC which is based on expert assumptions. We
418 therefore used scenario sensitivity analyses to identify which of these characteristics are the most
419 important drivers of vaccine value. Further data from carefully designed vaccine trials and other field
420 studies are needed to inform these data gaps. Vaccine value is also driven by normative health
421 economic assumptions around discounting, cost-effectiveness thresholds and the value of
422 preventing stillbirths, which reflect uncertainty about the values of society rather than about
423 empirical data.
424
425 Overall, our results suggest high coverage of a competitively priced maternal GBS vaccine has the
426 potential to save tens of thousands of lives globally and is likely to be a cost-effective investment,
427 particularly if the vaccine can reduce GBS-associated prematurity.
428
429 Contributors’ statement
430 Conceptualisation – SRP, AK, JEL, and MJ; Methodology – SRP, BG, CT and MJ; Investigation – SRP;
431 Formal Analysis – SRP; Software – SRP; Validation – SRP; Data Curation – SRP and BG; Writing –
432 Original Draft – SRP and MJ; Writing – Review & Editing – SRP, BG, PP, JC, FS, AK, RH, CT, JEL and MJ;
433 Visualisation – SRP; Supervision – MJ and JEL; Funding Acquisition – MJ and JEL.
434
435 Declaration of interests
436 FS is employed by the UK NSC which developed the policy recommendation for maternal GBS
437 screening.
438
439 Acknowledgements
440 We would like to thank the authors of the GBS burden paper for sharing data on the posterior
441 estimates of parameters in the burden model. We thank the GBS Full Value of Vaccine Assessment
442 project Scientific Advisory Group for helpful discussion. We also thank Clint Pecenka and Ranju Baral
443 for sharing estimates of antenatal care coverage by gestational age. This work was supported by a
444 grant (INV-009018) to the London School of Hygiene & Tropical Medicine (PI Joy Lawn) from the Bill
445 & Melinda Gates Foundation. RH is member of the WHO. The views expressed in this article are
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18
446 those of the authors and do not necessarily represent the decisions, official policy or opinions of the
447 WHO.
448
449 Data sharing statement
450 Code and data used in this analysis are available at https://github.com/mert0248/GBS-vax-econ-
451 model
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19
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