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. 2020 Oct 15;15(10):e0240734. doi: 10.1371/journal.pone.0240734

How much does it cost to measure immunity? A costing analysis of a measles and rubella serosurvey in southern Zambia

Andrea C Carcelen 1,*, Kyla Hayford 1, William J Moss 1,2, Christopher Book 3, Philip E Thuma 3, Francis D Mwansa 4, Bryan Patenaude 1
Editor: Ka Chun Chong5
PMCID: PMC7561102  PMID: 33057405

Abstract

Background

Serosurveys are a valuable surveillance tool because they provide a more direct measure of population immunity to infectious diseases, such as measles and rubella, than vaccination coverage estimates. However, there is concern that serological surveys are costly. We adapted a framework to capture the costs associated with conducting a serosurvey in Zambia.

Methods

We costed a nested serosurvey in Southern Province, Zambia that collected dried blood spots from household residents in a post-campaign vaccine coverage survey. The financial costs were estimated using an ingredients-based costing approach. Inputs included personnel, transportation, field consumable items, social mobilization, laboratory supplies, and capital items, and were classified by serosurvey function (survey preparation, data collection, biospecimen collection, laboratory testing, and coordination). Inputs were stratified by whether they were applicable to surveys in general or attributable specifically to serosurveys. Finally, we calculated the average cost per cluster and participant.

Results

We estimated the total nested serosurvey cost was US $68,558 to collect dried blood spots from 658 participants in one province in Zambia. A breakdown of the cost by serosurvey phase showed data collection accounted for almost one third of the total serosurvey cost (32%), followed by survey preparation (25%) and biospecimen collection (20%). Analysis by input categories indicated personnel costs were the largest contributing input to overall serosurvey costs (51%), transportation was second (23%), and field consumables were third (9%). By combining the serosurvey with a vaccination coverage survey, there was a savings of $43,957. We estimated it cost $4,285 per average cluster and $104 per average participant sampled.

Conclusions

Adding serological specimen collection to a planned vaccination coverage survey provided a more direct measurement of population immunity among a wide age group but increased the cost by approximately one-third. Future serosurveys could consider ways to leverage existing surveys conducted for other purposes to minimize costs.

Introduction

Monitoring population immunity to measles and rubella viruses can help identify populations at risk of outbreaks and determine whether targeted vaccination efforts are needed. Vaccination coverage may be used to approximate population immunity levels but inaccuracies result because vaccinated individuals can remain susceptible and unvaccinated individuals can be immune following infection. Serosurveys provide a more direct measure of population immunity to infectious diseases such as measles and rubella [1]. The use of serosurveys to identify population immunity gaps to measles and rubella has increased globally with the establishment of regional measles and rubella elimination goals [2]. However, there is concern that serosurveys are costly and time consuming [3]. World Health Organization (WHO) measles and rubella serosurvey guidelines suggest serosurveys could require from $100,000 to over $1 million and require a one-year timeline to conduct, analyze and interpret [4]. Reducing costs could make serosurveys more feasible in low- and middle-income countries where fewer serosurveys have been conducted [5].

Some expenses would be required for any survey, regardless of whether they include biospecimen collection, such as vaccination coverage surveys or Demographic and Health Surveys [6]. These include data collection expenses for travel and fieldwork, including participant enrollment and questionnaire administration [7]. Another major driver of cost is the sample size, which is determined by the prevalence of what is being estimated and the desired precision [8]. Sampling strategies influence the cost of surveys and understanding the implications of different sampling strategies on cost could help determine the feasibility [9]. For example, the cost could be substantially reduced if biospecimens were collected from a subset of participants within a larger survey.

On the other hand, some costs are unique to serosurveys because they require biospecimens. Serosurveys can prospectively collect biospecimens or use specimens that have already been collected, such as a biorepository or residual samples. While prospective specimen collection allows for better control of data collection and sampling methodologies, collecting, processing and transporting blood specimens can be expensive and logistically challenging [3, 10]. Adding specimen collection to a planned survey could result in cost savings compared to a standalone serosurvey; however, there are concerns about logistical feasibility and cost [11, 12].

Biospecimen collection adds expenses and complexity to a survey in terms of human resources and supplies. Healthcare professionals or skilled workers trained in biospecimen collection are needed. For example, venous blood collection requires a phlebotomist or healthcare professional, whereas finger prick blood collection can be done by trained community health workers [13, 14]. Biospecimens also require specimen collection supplies, storage and transport, laboratory testing, and additional human resources for laboratory processing and testing, although the use of dried blood spots can reduce the costs of transport, processing and storage [11].

The aim of this study was to better understand the costs associated with a serosurvey and how costs could be minimized. We adapted an existing framework on the components and costs of integrated vaccine-preventable disease surveillance to the components of a serosurvey [15]. We populated the framework with costing data from a serosurvey conducted in Southern Province, Zambia to examine how different components of the serosurvey affected the total cost.

Materials and methods

Study location and design

This serosurvey was conducted in Southern Province, Zambia, where measles and rubella remain endemic [16]. Following a measles-rubella vaccination campaign in 2016 for children younger than 15 years of age, a national post-campaign vaccination coverage survey was conducted. In conjunction with this survey, a nested serosurvey was conducted that involved collecting biospecimens from all members of households enrolled in the post-campaign vaccine coverage survey, including adults. Dried blood spots were collected by finger prick for enrolled individuals [17]. The WHO vaccination coverage survey manual was used to guide the household-based survey design [18]. Clusters were defined as small geographic administrative boundaries, known as enumeration areas, based on the most recent census conducted in 2010. The vaccination coverage survey enrolled 12 children per cluster among those eligible for vaccination at the time of the campaign. Sixteen of the 26 clusters selected for the coverage survey in Southern Province were included in the serosurvey for logistical reasons.

Cost data

The financial costs were estimated using an ingredients-based costing approach in which each resource is identified and assigned a cost. [19, 20]. The costing analysis was performed from the perspective of the government healthcare system and participant costs were not incorporated. In this case, a non-governmental organization was hired to implement the serosurvey. Cost data were captured in local currency (Zambian Kwacha) and converted to US dollars using the annual exchange rate in 2016 (USD $1 = 10.3 Kwacha) [21]. We considered a two-month time horizon for implementation of the serosurvey, from planning to laboratory processing. Weighting for incremental costs and discounting were not performed. Serosurvey cost data were obtained through document review of the budget and program records (such as purchase orders and contracts) and interviewing administrative personnel. When there was a difference between the budget and reported expenditure, reported expenditure was used to more accurately reflect the serosurvey as it was implemented rather than designed [20].

Ethics statement

This study used financial costing information and did not involve human subjects research. However, the serosurvey upon which estimates are based was approved by Institutional Review Boards at Macha Research Trust (E2016.04) and the Johns Hopkins Bloomberg School of Public Health (00007447). Regulatory approval for this publication was granted by the National Health Research Authority in Zambia.

Serosurvey cost estimation

A costing framework for integrated disease surveillance was adapted to capture the categories of implementation inputs across the phases of a serosurvey (Fig 1). Serosurvey phases were the activities required for implementation, from planning to biospecimen collection to laboratory testing. Cross-cutting items that spanned across serosurvey phases, such as communication, supervision, and data management, were placed in a separate category of coordination. The framework was compared with Demographic and Health Surveys and vaccination coverage survey budgets to ensure all costs were captured [6]. For each category, we identified the proportion of costs attributed to a vaccination coverage survey and those specific to the serosurvey. Costs were stratified by whether they varied at the study, cluster, or participant level to allow calculation of marginal costs [22].

Fig 1. Framework for estimating serosurvey costs.

Fig 1

The framework was adapted from integrated disease surveillance and updated to capture serosurvey costs. Phase of study includes cores study activities. Columns represent input categories. Overlap across the matrix is captured in the costs.

Personnel

We recorded the number of workers required for each activity. For long-term personnel who temporarily supported the serosurvey, proportioned salary and benefits were allocated based on the time spent doing serosurvey activities. Since this was a one-time intensified activity, two months were allocated for most existing personnel. For personnel contracted specifically for the serosurvey, all contracted time was included. We also included fees of consultants who supported specific services, such as training. We apportioned total personnel costs to serosurvey activities based on the ratio of time spent performing serosurvey-specific activities (e.g., blood collection) compared to general survey activities (e.g., mapping cluster). For the base case, one team was assumed to complete the serosurvey in one cluster within three days. The team consisted of a supervisor, phlebotomist, and three data collectors.

Transportation

No vehicles were purchased for the serosurvey; however, vehicles were rented at a fixed per day cost for vehicle use and driver time. Most transportation costs were allocated to general survey activities. Only trips to collect and transport biospecimens to the lab were included in serosurvey-specific costs. Each team was assigned one vehicle to implement field activities for the serosurvey.

Field consumables

Field consumables included items required during data and biospecimen collection and were stratified by items required for general survey implementation, such as pens, and serosurvey-specific items, such as biospecimen collection kits (e.g. lancets, cotton swabs, gloves). General survey items typically were calculated per cluster as they were team-level costs. Serosurvey specific items were typically calculated per participant.

Social mobilization

Because social mobilization for the post-campaign vaccine coverage survey was done as part of the vaccination campaign, all additional social mobilization efforts were calculated as serosurvey-specific costs. These included stipends for community health workers to accompany the teams in the field during data collection, radio advertisements, and meetings and phone calls with health facility staff to notify them that a serosurvey was being conducted in their area.

Laboratory supplies

We assumed the laboratory providing services for a serosurvey had the equipment to conduct enzyme immunoassays using commercial kits. The cost of bench space was based on renting the laboratory space and equipment for the time required for laboratory testing. Laboratory costs were calculated based on the cost of supplies and consumable materials (e.g. test kits, gloves, tubes). It was assumed that 15% of biospecimens would be retested in the base case to account for quality assurance and quality control, as well as retesting biospecimens with equivocal results and biospecimens with results above the upper limit of detection for a commercial measles and rubella IgG enzyme immunoassay kit.

Capital items and overhead

Because we costed a single serosurvey, the only capital items purchased specifically for the serosurvey were tablets for data entry. All other equipment was borrowed, and use-time was included in the cost based on the serosurvey implementation time with no discounting. No overhead costs were included.

Data analysis

We used Microsoft Excel to compile and analyze the data. Using the number of clusters and participants included in the serosurvey, we calculated the average per cluster and per participant costs, as well as the marginal cost per cluster and participant. Estimated costs were then stratified by serosurvey activity. Inputs were also stratified by whether they were general to surveys or attributable specifically to serosurveys. One-way sensitivity analyses were conducted for personnel and time spent on serosurvey activities.

Marginal costs for an additional cluster were calculated based on social mobilization, personnel, survey materials, and transportation required to include a cluster in the survey. This included one day for enumeration, mapping, and social mobilization preparatory activities required at the cluster. Marginal costs for an additional participant in an existing cluster included consumables for biospecimen collection and laboratory testing as well as additional time for personnel and transport.

Results

Biospecimens were collected from 658 individuals in 16 clusters by four teams comprised of five members each (supervisor, interviewers, and blood collector). Each team took approximately three days to complete each cluster. One and a half weeks were allocated for training and piloting, and three weeks for laboratory testing. With these assumptions, we estimated a cost of US $68,558 to collect biospecimens within a household vaccination coverage survey in Southern Province, Zambia. This resulted in a cost of $4,285 per average cluster and $104 per average participant sampled.

The overall added cost of collecting and testing a biospecimen as part of the survey was $24,601. Broken down by serosurvey phase, data collection accounted for almost one third of the total serosurvey cost (32%), followed by survey preparation (25%) and biospecimen collection (20%) (Table 1). By input categories, personnel was the largest contributing input to overall serosurvey cost (51%), transportation was second (23%), and field consumables were third (9%) (Fig 2). In terms of costs attributable exclusively to serosurveys, personnel was also the largest input (34%) due to the additional time required for data and specimen collection plus the addition of laboratory personnel, followed by laboratory supplies (26%) and social mobilization (18%). By combining the serosurvey with the vaccination coverage survey, there was a savings of $43,957, the cost attributable to the survey not related to biospecimens.

Table 1. Costs per phase of serosurvey implementation in Southern Province, Zambia.

Serosurvey phase Cost (2016 USD) Percentage of total cost
Survey preparation $ 16,813 25%
Data collection $ 22,062 32%
Biospecimen collection $ 13,875 20%
Laboratory testing $ 10,726 16%
Coordination (Communication, Data management) $ 5,081 7%
TOTAL $ 68,558 100%

Phases of the serosurvey correspond to Fig 1. Percentages sum to 100%. All costs in 2016 USD.

Fig 2. Costs for the post-campaign vaccine coverage survey and serosurvey in Southern Province, Zambia by input category.

Fig 2

Costs captured for each input category span across serosurvey activities. Dark blue represents core survey costs that would be included in a vaccination coverage survey, while light blue represents the costs that are specifically attributable to a serosurvey due to blood specimen collection and testing, such as laboratory costs. All bars sum to the total cost of $68,558. All costs are in 2016 USD.

We estimated that the marginal cost of including an additional cluster was $1,620, and the marginal cost of adding a participant within an existing cluster was $30. For these, 46% of the cost to add a cluster and 64% of the cost to add a participant were attributable to serosurvey-specific costs. Additional information on the implications of cluster and participant costs can be found in the S1 File.

In the serosurvey, all members of the household, including adults as well as children, were enrolled, whereas only children were included in the vaccination coverage survey. The sample size for the nested serosurvey required only 192 children in the 16 clusters (S1 File). By incorporating more than one child per household, resulting in an additional 235 children, we added $7,030 to the serosurvey cost. Including 219 adults in the households included in the serosurvey cost an additional $6,552.

Few participants were seronegative for measles or rubella, as the serosurvey was conducted after an immunization campaign [17]. The average cost per person found to be seronegative to measles was $2,077, and $3,809 for rubella (Table 2). Accounting for both measles and rubella, the cost was $1,344 per susceptible person identified.

Table 2. Costs per susceptible participant identified in 2016 serosurvey in Southern Province, Zambia.

Serosurvey phase No. persons susceptible Cost for identifying a susceptible person
Measles 33 $ 2,077
Rubella 18 $ 3,809
Combined 51 $ 1,344

Sensitivity analyses showed that varying the time for field work and number of team members had the largest impact on serosurvey cost, as this affected field work time (Fig 3). These factors impacted the data collection phase, which accounted for most of the study cost. However, none of the sensitivity analyses changed the cost by more than 8%.

Fig 3. One-way sensitivity analyses of costs varying serosurvey parameters.

Fig 3

One-way sensitivity analysis representing how varying parameters changed the total serosurvey cost from the base case of $68,558. Negative values (to the left) indicate lower cost than the base case, reflecting the lower end of the ranges, and the positive values (to the right) indicate higher cost than the base case, reflecting the higher end of the ranges. The number of team members varied from 2 to 6, the time for field work varied from 10 to 15 days, the time for training varied from 3 to 8 days, and the time for planning varied from 5 to 10 days. The percentage of specimens requiring retesting varied from 5 to 25% and the time for laboratory testing varied from 13 to 23 days. All costs are in 2016 USD.

Discussion

We estimated the total nested serosurvey cost was US $68,558 to collect dried blood spots from 658 participants in one province in Zambia and that nesting the serosurvey in a vaccination coverage survey added $24,600 in overall costs. A breakdown of the cost by serosurvey phase showed data collection accounted for almost one third of the total serosurvey cost (32%), followed by survey preparation (25%) and biospecimen collection (20%). Analysis by input categories indicated personnel was the largest contributing input to the overall serosurvey cost (51%), transportation was second (23%), and field consumables were third (9%). By combining the serosurvey with the vaccination coverage survey, there was a savings of $43,957. We estimated it cost $4,285 per average cluster and $104 per average participant sampled.

Few costing studies of serological surveillance have been conducted, and to our knowledge, none have been done for measles and rubella serosurveys. Economic evaluations of public health surveillance systems have used various methodologies, making it difficult to compare across settings [23]. We developed a framework for serological surveillance that can be used to compare serosurvey costs. Standardized categories permit cross-country comparisons and could be used as a model for other countries considering serological surveillance.

WHO estimated that 60 to 70% of a serosurvey budget is laboratory-related supplies for blood collection, storage, transport, processing, and testing kits [2]. We estimated that the added time for biospecimen collection in the field and laboratory-related supplies were only approximately one-third of the overall serosurvey budget. This could be due to the limited serosurvey transportation cost as we did not have vehicles allocated specifically for biospecimen transport. Another potential explanation for these differences could be the biological specimen type. Since we used finger prick blood collection, this may have reduced the costs included in biospecimen collection as it does not require personnel skilled in venous blood draw. Collecting biospecimens as dried blood spots eliminated the need for a cold chain and time-sensitive transportation to the laboratory.

The additional cost for the serosurvey in Zambia found seroprevalence was higher than vaccination coverage reported in the survey for the measles-rubella vaccination campaign in 2016. Measles seroprevalence was 96.1% (95% CI: 92.4, 98.1), and rubella was 98.4% (95% CI: 95.9, 99.4) for children 9 months to 16 years of age. By comparison, the vaccination coverage was only 89.9% (95% confidence interval (CI): 85.9, 92.8) [17]. For measles, 95% immunity is considered a herd immunity threshold to interrupt virus transmission [24]. Adding the serosurvey demonstrated that this programmatic goal was reached, despite the supplemental cost and logistics required for the serosurvey.

Although the MR vaccination campaign targeted children younger than 15 years of age, monitoring seroprevalence in adults is important because, as measles and rubella virus transmission diminishes, fewer people are immunized through natural infection in childhood and will be at risk of acquiring disease as adults. This is of particular concern for women of childbearing age as it could result in increased risk of congenital rubella syndrome [25]. In this serosurvey, lower rubella seroprevalence was identified in women of childbearing age [17]. It cost an additional $6,552 to include adults in the serosurvey, which revealed immunity gaps among young adults not eligible for the campaign. These gaps would not have been identified through the vaccination coverage survey alone. This adult population can be monitored through serological surveillance without a substantial increase in resources.

Understanding factors that have the greatest impact on serosurvey cost can be used to minimize these expenses. Estimates that only consider laboratory supplies for testing biospecimens underestimate the additional costs for specimen collection, such as personnel and transportation. Other household surveys have noted that the cost of survey implementation in sub-Saharan Africa often has high personnel costs [26]. An immunization program costing study in Zambia also identified personnel and travel as the highest implementation costs for routine immunization [27]. Similarly, our survey identified personnel and transportation as the highest cost inputs; however, we were able to save $26,539 in personnel and $13,410 in transportation by nesting within the post-campaign vaccine coverage survey.

Alternative study designs, such as using an existing biorepository rather than collecting new biospecimens, could achieve additional cost-savings in data and biospecimen collection. Together these categories accounted for more than half the cost of the serosurvey. Other ways to reduce costs include limiting training time by using experienced data collectors and improving data collection tools to minimize time in the field.

As new technologies continue to develop, such as point-of-care serological tests, laboratory costs could be reduced [28, 29]. These technologies would not require specimen transportation and could be done by non-laboratory personnel, thereby decreasing costs [30]. The use of multiplex bead-based assays to detect multiple antigens from the same biospecimen could make serosurveys more cost-effective by providing information on multiple diseases in less time without requiring additional biospecimen collection [31].

It is not yet clear what is the appropriate indicator to weigh the costs and benefits of a serosurvey. We estimated the cost to identify someone who is seronegative, which was high in this population because of the high seroprevalence. The cost per seronegative individual will vary across settings and would be lower in settings with low seroprevalence. Weighing the value of information gained from a serosurvey could help develop more appropriate benefit estimates.

Limitations

Data for this study were collected retrospectively, so some of these limitations could be addressed if using a prospective study design. Transportation costs did not capture actual distances covered. Capital laboratory equipment was not individually valued and annualized, but rather a lump sum for laboratory bench space was used. We were not able to estimate the marginal cost per household due to the format of the costing data and the variable number of people included per household; therefore, estimates were based on participant costs. These costing estimates were for the number of participants enrolled and may not account for additional time required if conducting a serosurvey in a setting with high refusal or non-response rates that would require additional time spent on enrollment. Because this was a one-time activity, new personnel were not hired but contracted for their time. If this were to be an ongoing activity, hiring additional personnel or allocating a proportion of existing personnel time could decrease costs.

Conclusions

Adding serological specimen collection to a planned vaccination coverage survey in Southern Province, Zambia provided a more direct measurement of population immunity while increasing the cost by approximately one-third. By nesting this serosurvey within a planned post-campaign vaccine coverage survey, costs for planning, personnel, mapping, enumeration, and transportation were not borne by the serosurvey. Despite these savings, personnel and laboratory supplies remain significant drivers of cost. Future serosurveys could consider ways to leverage existing surveys for other purposes to minimize costs.

Supporting information

S1 File. Serosurvey sample size calculations and cost ratio of cluster to participant cost.

(DOCX)

S1 Dataset

(XLSX)

Acknowledgments

We thank the Government of Zambia, particularly the team that implemented the vaccination coverage survey, and Dr. Philip Thuma at Macha Research Trust for supporting the serosurvey which allowed us to capture programmatic costs. We would also like to thank Christine Prosperi and Simon Mutembo for their input and review.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The study was funded by the Bill & Melinda Gates Foundation (https://www.gatesfoundation.org/), grant number OPP1094816 awarded to KH and WJM as co-principal investigators. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Ka Chun Chong

25 Jun 2020

PONE-D-20-11421

How much does it cost to measure immunity? A costing analysis of a measles and rubella serosurvey in southern Zambia

PLOS ONE

Dear Dr. Carcelen,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

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Please submit your revised manuscript by Aug 09 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

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If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

We look forward to receiving your revised manuscript.

Kind regards,

Ka Chun Chong

Academic Editor

PLOS ONE

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We will update your Data Availability statement on your behalf to reflect the information you provide.

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Please confirm that this does not alter your adherence to all PLOS ONE policies on sharing data and materials, by including the following statement: "This does not alter our adherence to  PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests).  If there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared.

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Additional Editor Comments (if provided):

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: No

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Thank you for giving me the opportunity to review this interesting paper. I think the topic is relevant and based on sound data. However, I have several concerns regarding the presentation.

Abstract:

Background: the reason why serosurveys are valuable is not clearly stated.

Methods are more detailed than required

Results: Please see my comment to Results, line 214 to 223.

Introduction: The introduction is hard to read as it seems to be a collection of single one-sentence statements that lack context. Thus, the reason why the study was performed remains somewhat unclear. The aim of the study should be described better. To me, the phrase “cost integrated vaccine-preventable disease surveillance that includes calculating serosurvey” is not understandable.

Methods:

Line 105 to 106: “Clusters were defined as administrative boundaries known as Supervisory Enumeration Area” – what does that mean?

Line 112-115: Meaning unclear.

Line 133 to 137: Meaning unclear.

Line 155-57: Surprisingly high amount of Man-power to collect specimens, 3 working days à five persons to collect 41 specimens. Please explain why teams contain five persons.

Line 174.175: Why were community health care workers invited to accompany the working team, thus enhancing the costs?

Results:

Lien 214 to 223: I don’t understand the presentation of the percentages. In total 220 % are presented. How are they broken down?

Line 237 to 239: I do not see the relevance of this information.

Line 240 to 242: Incomplete sentence.

Line 242-243: Discussion of results

Line 244 to 250: Very detailed information, but unclear relevance.

Sensitivity analysis: I do not understand how the sensitivity analysis was performed.

Discussion:

No overview of the main results

Relevance of the study: It is not discussed how measuring seronegativity contributes to public health, or how the costs for a serosurvey relate to cost of other measurements to enhance public health, like vaccination campaigns or nutrition supplements.

Line 326 to 327: Incomplete& grammatically wrong sentence.

Line 330: not included into the pdf

Line 334 to 337: Unclear why this is a weakness

Acknowledgement: One of the co-authors is acknowledged for his contribution.

Figures: The figures are of insufficient quality in the pdf-file provided.

Reviewer #2: Thanks for the manuscript and it read very well. Please see the following comments for further improvement of the manuscript.

1. Line 244 to 248 should be in methods section for better clarity including the age range for serology survey.

2. Line 251 to 256 would be clear if the author presents as a table in result section.

3. The authors stated in the method section that 12 children were selected from each cluster. But in line 293 to 295 stated the fact about women of child bearing age which do not seem to be in this survey. Please clarify this fact.

4. It would be more informative if author could provide the administration of vaccination coverage in the survey area to argue with needs to conduct serology survey.

5. Figures in the manuscript is not clear and suggest to provide higher resolution figure.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2020 Oct 15;15(10):e0240734. doi: 10.1371/journal.pone.0240734.r002

Author response to Decision Letter 0


23 Aug 2020

Thank you kindly for the thorough review of the manuscript. We have reviewed the comments and provided responses below in blue. Additionally, we have updated the manuscript, and noted where in the manuscript the changes are reflected. Line numbers are based on unmarked version.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

This has been updated.

2. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions.

In your revised cover letter, please address the following prompts:

a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially identifying or sensitive patient information) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. Please see http://www.bmj.com/content/340/bmj.c181.long for guidelines on how to de-identify and prepare clinical data for publication. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories.

We will update your Data Availability statement on your behalf to reflect the information you provide.

The minimal anonymized data set necessary to replicate our study findings has been uploaded as supporting files.

3. Thank you for stating the following in the Competing Interests section:

'AC, KH, WM, and BP received financial support from the Bill & Melinda Gates Foundation. Other authors declare that they have no competing interests'

Please confirm that this does not alter your adherence to all PLOS ONE policies on sharing data and materials, by including the following statement: "This does not alter our adherence to PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests). If there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared.

Please include your updated Competing Interests statement in your cover letter; we will change the online submission form on your behalf.

Please know it is PLOS ONE policy for corresponding authors to declare, on behalf of all authors, all potential competing interests for the purposes of transparency. PLOS defines a competing interest as anything that interferes with, or could reasonably be perceived as interfering with, the full and objective presentation, peer review, editorial decision-making, or publication of research or non-research articles submitted to one of the journals. Competing interests can be financial or non-financial, professional, or personal. Competing interests can arise in relationship to an organization or another person. Please follow this link to our website for more details on competing interests: http://journals.plos.org/plosone/s/competing-interests

This is correct. It did not alter our adherence to PLOS ONE policies on sharing data and materials. We added this to the cover letter.

Reviewer #1: Thank you for giving me the opportunity to review this interesting paper. I think the topic is relevant and based on sound data. However, I have several concerns regarding the presentation.

Abstract:

Background: the reason why serosurveys are valuable is not clearly stated.

This has been added (line 21).

Methods are more detailed than required

Some of the details have been removed (lines 27-28).

Results: Please see my comment to Results, line 214 to 223.

This has been clarified (lines 34-39).

Introduction: The introduction is hard to read as it seems to be a collection of single one-sentence statements that lack context. Thus, the reason why the study was performed remains somewhat unclear. The aim of the study should be described better. To me, the phrase “cost integrated vaccine-preventable disease surveillance that includes calculating serosurvey” is not understandable.

The introduction has been reworked to be more cohesive. The aim of the study is more clearly described in the last paragraph, with the clarification on the phrase noted (lines 85-90).

Methods:

Line 105 to 106: “Clusters were defined as administrative boundaries known as Supervisory Enumeration Area” – what does that mean?

An Enumeration Area (EA) is a small geographic unit below a ward in urban areas and village in rural areas, into which the whole country is divided for census purposes. A supervisor is responsible for accounting for all of the people within their assigned enumeration areas. We tried to clarify that it is a small geographic area. (lines 100-102)

Line 112-115: Meaning unclear.

This has been modified. The intent was to explain that a bottom-up approach was used to cost each item required for the serosurvey. We included costs that were incurred by the government healthcare system as they implemented the serosurvey but did not include participant costs. (lines 107-110)

Line 133 to 137: Meaning unclear.

The text has been updated to be clearer. The intent was to explain Figure 1 and how the phases and categories were developed. (lines 127-132)

Line 155-57: Surprisingly high amount of Man-power to collect specimens, 3 working days à five persons to collect 41 specimens. Please explain why teams contain five persons.

The teams consisted of 5 people-1 supervisor, 1 phlebotomist, and 3 data collectors (one who was a back-up phlebotomist). This is the actual number of people that went out to the field for the serosurvey. Because this serosurvey was nested within a vaccination coverage survey, the teams conducting the serosurvey were asked to work at the same pace as those doing only the vaccination coverage survey. Whereas teams doing only the vaccination coverage survey in other clusters only needed to interview mothers of 12 children; serosurvey teams had to both interview and collect blood from everyone in the household of those 12 children. The mean number of participants enrolled in each household was 4 (IQR: 3-6) [1]. This meant that additional staff were required to complete all of the work within the allotted 2 weeks in the field. If more time had been allowed, the teams could have been smaller.

Line 174.175: Why were community health care workers invited to accompany the working team, thus enhancing the costs?

Community health workers accompanied the teams for several reasons. They are familiar with the area and could guide the teams in interpreting the maps. And they could make appropriate introductions to community leaders so the community was more likely to participate in the study. [2] (Lines 167-171)

Results:

Lien 214 to 223: I don’t understand the presentation of the percentages. In total 220 % are presented. How are they broken down?

The paragraph has been reorganized to better clarify. The percentages are presented in a couple of formats: by phase of serosurvey implementation (as broken down in Table 1) and by input category (as denoted in Figure 2). This corresponds with the rows and columns from Figure 1. Additionally, lines 214-217 explain the costs per category input for just adding the serosurvey to the already planned coverage survey (the different colors in Figure 2). (Lines 209-218)

Line 237 to 239: I do not see the relevance of this information.

Cost ratio information has been moved to supplemental material.

Line 240 to 242: Incomplete sentence.

This sentence has been split into two and moved to supplemental material.

Line 242-243: Discussion of results

Cost ratio information has been moved to supplemental material.

Line 244 to 250: Very detailed information, but unclear relevance.

This has been condensed to get across the main points more clearly. The relevance was intended to denote that by adding additional children in the serosurvey than were in the vaccination coverage survey, there was an additional cost. Similarly, we included adults in the serosurvey sample, which also had an additional cost. The implications of this are in the discussion section (lines 295-304), highlighting that an immunity gap in women of childbearing age was identified through this serosurvey because adults were included.

Sensitivity analysis: I do not understand how the sensitivity analysis was performed.

One-way sensitivity analyses were done to see how changing parameters for the serosurvey would have affected the cost. For example, decreasing the number of team members to 2 resulted in a $5,000 cost savings, whereas increasing the number of team members to 6 resulted in increased costs. This was similarly done for time spent in the field, training, planning, and laboratory testing. The footnote for Figure 3 indicates what the ranges for the sensitivity analyses were. (lines 252-258)

Discussion:

No overview of the main results

An initial paragraph has been added to provide an overview and the value of serosurveys in guiding immunization programs (lines 261-269).

Relevance of the study: It is not discussed how measuring seronegativity contributes to public health, or how the costs for a serosurvey relate to cost of other measurements to enhance public health, like vaccination campaigns or nutrition supplements.

We agree this is a really important question, but unfortunately we were not able to address it in this study. We are working through our research to better understand the added value of targeted serosurveys and how they could be used to guide immunization programs. In future research we would do a cost-benefit or cost-utility analysis to be able to compare the costs of a serosurvey to those of alternative strategies. Alternative strategies could include approximate measurements of seropositivity using vaccination coverage and fever rash surveillance systems,. This could also compare a targeted serosurvey with mop-up immunization in areas found to have low seroprevalence to a blanket vaccination campaign (lines 325-329).

Line 326 to 327: Incomplete& grammatically wrong sentence.

Thank you for catching this. It has been updated.

Line 330: not included into the pdf

We are not sure what this is in reference to, but the minimal dataset has now been made available.

Line 334 to 337: Unclear why this is a weakness

It was not intended to be a weakness, but rather a limitation in terms of generalizability. In our study, we hired new personnel. If this were integrated as an ongoing activity that forms part of the existing surveillance system, it could be done by existing staff. This could result in lowered costs and would make it more sustainable in the long run, rather than hiring and training new personnel. (Lines 396-399)

Acknowledgement: One of the co-authors is acknowledged for his contribution.

This has been removed and updated (line 352).

Figures: The figures are of insufficient quality in the pdf-file provided.

These have been updated.

Reviewer #2: Thanks for the manuscript and it read very well. Please see the following comments for further improvement of the manuscript.

1. Line 244 to 248 should be in methods section for better clarity including the age range for serology survey.

This line is intended to be a reminder for the reader as to why we are saying “additional” children and what the cost was for adding adults. We have tried to make this clearer in the methods section. (lines 97-98)

2. Line 251 to 256 would be clear if the author presents as a table in result section.

A table has been added to the results section (line 244-246).

3. The authors stated in the method section that 12 children were selected from each cluster. But in line 293 to 295 stated the fact about women of child bearing age which do not seem to be in this survey. Please clarify this fact.

The post-coverage evaluation survey selected one child from 12 different households in each cluster. However, our nested serosurvey collected specimens from all household members regardless of age, not just the child. Therefore, we were able to calculate seroprevalence estimates for women of childbearing age.

4. It would be more informative if author could provide the administration of vaccination coverage in the survey area to argue with needs to conduct serology survey.

Administrative vaccination coverage for the 2016 measles-rubella vaccination campaign was 89.9% (95% confidence interval (CI): 85.9, 92.8) for 9 month to 16 year olds. By comparison, the serosurvey prevalence was 96.1% (95% CI: 92.4, 98.1) for measles and 98.4% (95% CI: 95.9, 99.4) for rubella for the same age range. For measles, the higher seroprevalence was likely due to the fact that many children had already been vaccinated through the routine immunization program. For rubella, this is likely because they had already been previously exposed to circulating rubella virus, as this was the first introduction of rubella vaccine. This justification for conducting serological surveillance has been added to the discussion (lines 286-294)

5. Figures in the manuscript is not clear and suggest to provide higher resolution figure.

These have been updated.

Attachment

Submitted filename: Response to reviewers.docx

Decision Letter 1

Ka Chun Chong

14 Sep 2020

PONE-D-20-11421R1

How much does it cost to measure immunity? A costing analysis of a measles and rubella serosurvey in southern Zambia

PLOS ONE

Dear Dr. Carcelen,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Oct 29 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

We look forward to receiving your revised manuscript.

Kind regards,

Ka Chun Chong

Academic Editor

PLOS ONE

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: No

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Thank you for giving med the opportunity to re-revise this manuscript which I consider much improved.

My only comment is that there are a few typos, especially in the Introduction ("cost" instead of "costs" etc.), and iterations throughout the paper. I would recommend a critical run-through or a professional proof-read.

Reviewer #2: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Corinna Vossius MD PhD

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2020 Oct 15;15(10):e0240734. doi: 10.1371/journal.pone.0240734.r004

Author response to Decision Letter 1


25 Sep 2020

We have had several proof-readers go through and critically review the language. We found only a couple of typos but tried to update some of the language to prevent confusion between “cost” and “costs”.

Decision Letter 2

Ka Chun Chong

2 Oct 2020

How much does it cost to measure immunity? A costing analysis of a measles and rubella serosurvey in southern Zambia

PONE-D-20-11421R2

Dear Dr. Carcelen,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Ka Chun Chong

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Ka Chun Chong

6 Oct 2020

PONE-D-20-11421R2

How much does it cost to measure immunity? A costing analysis of a measles and rubella serosurvey in southern Zambia

Dear Dr. Carcelen:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Ka Chun Chong

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File. Serosurvey sample size calculations and cost ratio of cluster to participant cost.

    (DOCX)

    S1 Dataset

    (XLSX)

    Attachment

    Submitted filename: Response to reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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