Literature DB >> 36130243

Resuming NTD activities in the context of COVID-19: an investigation into the advantages of risk assessment processes to mitigate the transmission of COVID-19 during NTD delivery.

Ioasia Radvan1, Folake Oluwayemisi Aliu2, Anthony Bettee3, Abdourahim Cisse4, Sonnie Ziama Gbewo5, Nicholas Olobio6, Michel Sagno7.   

Abstract

BACKGROUND: The neglected tropical disease (NTD) sector is adapting to the uncertain circumstances of coronavirus disease 2019 (COVID-19). The development of the Risk Assessment and Mitigation Action (RAMA) tool was driven by partners of the programme Accelerating the Sustainable Control and Elimination of NTDs (hereafter called Ascend) to enable countries to recommence NTD activities following the World Health Organization advisories of April and July 2020. This article explores the advantages of the RAMA process for NTD delivery.
METHODS: The analysis used interview transcripts with NTD practitioners in Cote d'Ivoire, Guinea, Liberia and Nigeria and results from the monitoring of compliance with COVID-19 mitigation measures in Nigeria.
RESULTS: Three themes emerged from the results: adaptability and innovation, collaboration and government ownership and preparedness.
CONCLUSIONS: The advantages of the RAMA tool suggest its importance in mitigating the transmission of COVID-19 during NTD delivery. There is the potential for the tool to be adapted for use throughout future pandemics.
© The Author(s) 2022. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.

Entities:  

Keywords:  COVID-19; NTDs; mitigation; risk assessment; transmission

Mesh:

Year:  2022        PMID: 36130243      PMCID: PMC9492271          DOI: 10.1093/inthealth/ihac045

Source DB:  PubMed          Journal:  Int Health        ISSN: 1876-3405            Impact factor:   3.131


Introduction

Following the World Health Organization (WHO) advisory in April 2020 recommending that neglected tropical disease (NTD) activities be postponed until further notice due to the risks associated with coronavirus 2019 (COVID-19), governments paused activities. This decision was a concern for NTD programmes as interruptions to programmes would delay the achievement of 2030 elimination targets.[1] While the underlying epidemiology of each disease, period of delay and implementation of remedial strategies will all influence the ultimate impact of postponement on the progress of NTD programmes towards elimination,[2] some—such as schistosomiasis—have greater transmissibility. Delays in interventions will therefore have an even more profound impact. When resurgence of NTDs is rapid in high-transmission areas, it takes longer to get back on track.[3,4] Forty-four percent of the 109 countries that responded to the last WHO pulse survey on continuity of essential health services during the COVID-19 pandemic reported disruptions to NTD services, with 60% reporting disruptions to large-scale NTD preventative chemotherapy campaigns.[5] The longer-term implications of COVID-19 for NTD elimination and control will be unclear for years to come.[6] In July 2020, WHO guidance advised that activities could resume with mitigation measures in place.[7] The WHO guidance outlined a decision-making framework for the implementation of mass drug administration (MDA), active case-finding activities and population-based surveys for NTDs in the context of the COVID-19 pandemic and suggested mitigation measures to be considered to decrease the risk of transmission of COVID-19. The WHO also published a mass gathering COVID-19 risk assessment tool for generic events.[8] This served as guidance for authorities and event organisers when planning mass gatherings and assisted in identifying risks and appropriate mitigation measures. While the WHO provides technical leadership for health programmes, the mass gathering tool was for generic, non-health-specific events, so the risks and mitigations were not always applicable to NTD activities such as MDA. Therefore, in response to the WHO guidance and tool, the Ascend programme—alongside national ministries of health (MoHs) in project-supported countries—adapted the WHO mass gathering tool for generic events into a tool that addressed considerations for NTDs. This became the Risk Assessment and Mitigation Action (RAMA) tool.[9] Three tools were developed for MDA, disease-specific assessments (DSAs) and surgeries with the objective of preparing national programmes to respond to the pandemic while ensuring the resumption of NTD activities and protection of communities from COVID-19. The RAMA tool lists NTD activity-specific risks (Annex 1) and mitigation measures (Annex 2) to be considered by national programmes based on the WHO guidance of July 2020. The targeted regions and districts are listed in the tool and the overall risk score calculated through a decision matrix. Following a piloting stage, the tool was updated based on learning from initial use and embedded into a risk management process (Figure 1) to ensure compliance with WHO guidance. Alongside the tool, the process includes the monitoring of COVID-19 trends, the technical verification of written COVID-19 standard operating procedures (SOPs), the confirmation of costs associated with mitigation measures such as personal protective equipment (PPE)[10] and a security assessment that details risks—aside from COVID-19–that are associated with the operational environment. As part of stage 7 of the RAMA process, programmes have been encouraged to monitor adherence to the COVID-19 SOPs by implementers by using monitoring and evaluation (M&E) tools (Annex 3). Stage 7 also includes a post-activity follow-up, consisting of the submission of updated COVID-19 figures and responses to six follow-up questions (Annex 4) by the team responsible for completing the RAMA process. See Annex 5 for a more detailed summary of stages 1–7.
Figure 1.

Seven stages of the RAMA process.

Seven stages of the RAMA process. Developing the RAMA process provided a means by which national programmes, communities, partners and donors could be reassured that programmes were being supported to resume activities safely. However, the RAMA tool and process were produced at a time when COVID-19 case and death rates in NTD-endemic areas were high, national risk mitigation measures were more stringent and the risk appetite of national NTD programmes was lower. As the pandemic has progressed, case and death rates have stabilised, Africa's capacity to manage COVID-19 cases has gradually improved and public health measures have relaxed.[11] Nonetheless, application of the RAMA tool and process remains relevant, as it is adaptable to the local COVID-19 situation within the administrative divisions of each country. The RAMA process provides a framework for adaptation by programmes and is not a one-size-fits-all approach. The RAMA process will remain dynamic as the pandemic progresses. This article documents an evaluation of the RAMA process through semistructured interviews and results from the monitoring of compliance with COVID-19 SOPs to assess how the RAMA process has assisted countries to resume implementation of activities within the confines of COVID-19 restrictions. It explores how the learnings may benefit NTD programmes and other health programmes in the future, beyond COVID-19.

Methods

Semistructured interviews with MoHs

Four semistructured interviews were conducted with key informants within the NTD team of the MoHs in Cote d'Ivoire, Guinea, Liberia and Nigeria in November 2020. The interviews employed a blend of closed- and open-ended questions (Annex 6). Semistructured interviews are recommended when examining unchartered territory and are suitable to this subject matter.[12] The interviews were transcribed and key messages grouped into themes for ease of analysis. Transcription provided qualitative evidence of the successes and challenges involved with applying the RAMA process.

Stage 7 of the RAMA process, Nigeria

Monitoring of compliance with COVID-19 SOPs developed through the RAMA process in Nigeria

CommCare, a mobile health application, was utilised by supervisors across Nigeria throughout MDA for schistosomiasis (SCH) and soil-transmitted helminths (STH) in three states and onchocerciasis (OV) and lymphatic filariasis (LF) in seven states to monitor compliance with COVID-19 SOPs by teachers, who were distributing medicine during the SCH/STH MDA and community drug distributors (CDDs) during the OV/LF MDA. CommCare can be used offline on an Android smartphone with no internet and plots the Global Positioning System location of each entry. The standard community MDA checklist was adapted to include questions on the COVID-19 SOPs (Annex 7). Supervisors used the app to ask questions requiring binary responses (yes or no) and observed practices during MDA to record compliance with the SOPs, entering responses and free-text observations into the digital checklist. The number of days for the training of CDDs was extended to allow time for the recording of compliance with COVID-19 SOPs and observations by supervisors. Each state deployed 21–35 supervisors, depending on the number of local government areas (LGAs) targeted for MDA and the available budget. Benue deployed 21 supervisors, Kogi 34, Kebbi 28, Kwara 35, Sokoto 34, Kaduna 33 and Zamfara 31. The results from CommCare have helped to determine the level of preparedness of NTD programmes to implement activities safely after completing the RAMA process. Within this article, the results from stage 7 have been presented and discussed for Nigeria only, as the use of CommCare by the NTD programme eased data collection and analysis.

Six post-activity follow-up questions completed by RAMA team members in Nigeria

Annex 4 lists the questions posed to the RAMA team members after the conclusion of the MDA. Information gathered through CommCare helped to respond to these questions. The responses to these questions helped to identify challenges in implementing the COVID-19 SOPs throughout the activities and whether any COVID-19 cases were attributed to the MDA. For this study, the WHO definition of a confirmed COVID-19 case was used.[13]

Results

Results from semistructured interviews

The results from the semistructured interviews highlighted three key themes: adaptability and innovation, collaboration and government ownership, and preparedness.

Adaptability and innovation

Interviewees highlighted that the RAMA tool enabled programmes to pre-emptively focus on crowd management mitigations. In Liberia, one of the challenges of social distancing was resolved by positioning one dose pole vertically against a wall to measure the dose per patient and promote physical distance between CDDs and community members instead of the usual method of the CDD holding the dose pole next to the patient. Recognising the additional constraints that COVID-19 placed on CDDs, countries sometimes extended the treatment period of an MDA to accommodate the need to sanitise dose poles, wash and sanitise hands and maintain physical distancing throughout the MDA. Increasing the number of CDDs during an MDA has depended on need due to the increasing burden on CDDs caused by COVID-19 risk mitigation measures. In Nigeria, the recommended ratio is 1 CDD per 200 community members. While this recommendation has not changed throughout the pandemic, there were cases of communities and health facilities asking for more CDDs due to a heavy burden on existing CDDs caused by the need to adhere to the COVID-19 prevention measures. In these cases, additional CDDs were identified. It should be noted that increasing the number of CDDs per community to reduce workload was a recommendation of the community-directed treatment with ivermectin approach prior to the pandemic. However, in some cases the changing operational environment brought on by COVID-19 has highlighted the importance of this approach. In Nigeria, the maximum number of trainees at each CDD training session was reduced from 50 to 20 to increase social distancing. The rationale behind this was that 20 trainees could be comfortably seated in the classroom or health centre while adhering to the physical distancing requirement of 2 m. The decreased number of trainees per day increased the total number of training days by two or three, depending on the total number of CDDs to be trained. Similarly in Guinea, due to COVID-19 restrictions, it was necessary to add one additional training day. In addition to innovative solutions to the changed operational environment of COVID-19, some MDA recommendations that existed prior to COVID-19 have proven to be especially effective in the context of the pandemic. For example, in Liberia, throughout MDA, a disposable spoon was used to limit physical contact when administering tablets to community members. This was as opposed to the CDD placing the tablet into the hand of the community member directly. Community engagement and awareness-raising around COVID-19 mitigation measures was an ongoing effort. In Guinea, CDDs and supervisors spoke to households about COVID-19 safety measures both at the start and end of each MDA. This enhanced community buy-in. During the RAMA process in Cote d'Ivoire, a guide was developed for implementers indicating measures such as compulsory mask wearing, hand hygiene, social distancing and ventilation of indoor spaces. The NTD programme has been able to raise awareness of COVID-19, helped by widespread knowledge of COVID-19 thanks to government communication efforts. In Nigeria, advocacy and sensitisation helped people understand COVID-19-related risks, as some communities do not believe that COVID-19 exists. State- and LGA-level coordinators engaged with local communities to inform them of the cause of the hiatus in MDA. The NTD programme supported COVID-19 awareness and sensitisation activities in order that communities understood preventative measures. The programme also engaged communities during religious gatherings.

Collaboration and government ownership

Collaboration was facilitated through the introduction of online meetings in addition to physical ones, during which people were able to exchange information. These meetings included national NTD programme managers and coordinators, district health directors and Sightsavers. There were hybrid meetings with some attendees meeting in person and others joining online due to COVID-19 restrictions. In Liberia and Nigeria, due to low internet coverage in most of the communities, CDDs, teachers and health workers were not included in online meetings. However, in-person meetings at the start of MDA involved CDDs and health workers. In Guinea, district health directors shared information from meetings with CDDs and health workers at the subdistrict level, while some health workers attended online meetings. In all countries, NTD activities were able to restart due to careful planning, facilitated by the RAMA process. In the case of Guinea, coordination was a major challenge after the introduction of the RAMA process due to the large number of information sources required to complete the documentation. However, regular communication between the MoH and partners improved mutual understanding and facilitated completion of the process. The programme has experienced improvements in national coordination and community engagement since, with a renewed commitment to ensure meaningful participation by community members. Despite uncertainty and challenges, the national NTD programme in Guinea gained support from implementing partners to resume MDA across multiple districts by using the RAMA tool. In Nigeria, regular engagement and communication with the Nigeria Centre for Disease Control meant that partners could have access to the most up-to-date COVID-19 information and guidance to restart NTD activities. The NTD programme relied on information from other public health programmes to understand any challenges associated with restarting a programme during a pandemic. For example, the NTD programme engaged with malaria programmes to understand how they were carrying out their programmes, what types of materials and PPE were being used and how trainings were run. There was close collaboration between the NTD programme and COVID-19 response teams during the RAMA process and NTD activities. In Liberia, the COVID-19 response team developed strategic documents, including COVID-19 SOPs, to guide NTD activities. During the RAMA process for the MDA, the NTD programme engaged with the COVID-19 response team to plan surveillance, contact tracing, COVID-19 risk communication and community engagement. The COVID-19 response team facilitated COVID-19 awareness training in the five counties targeted for MDA. In Guinea, daily restitution meetings were conducted between the NTD programme and COVID-19 response team to discuss the safety of beneficiaries. In Nigeria, some NTD programme personnel were drafted into the COVID-19 response team to provide support throughout the pandemic. This assisted the national programme when writing the COVID-19 SOPs and providing COVID-19 updates at stages 1, 2 and 7 of the RAMA process.

Preparedness

There was consensus that the RAMA process has improved preparedness to implement programmes in the COVID-19 context. In Cote d'Ivoire and Nigeria, the RAMA process improved guidance for implementers, covering all key mitigation activities while causing no negative impact to local communities. In Guinea, before completing the RAMA process, implementers in the field were fearful of activities restarting. After completing the RAMA process, information on COVID-19 and preventative measures was shared with households. The interview with the programme in Nigeria emphasised the usefulness of the RAMA process in providing the guidance needed to mitigate COVID-19 risks. The interviewee from the programme in Cote d'Ivoire stated that the RAMA tool was easy to complete and adaptable to each country context. The national NTD programme in Guinea completed the RAMA tool before undertaking integrated research for leprosy, Buruli ulcer and NTDs, separate from the Ascend programme. The programme also completed the RAMA process for MDA, with distribution being successfully carried out in the Nzérékoré region of Guinea. The RAMA process ensured the involvement of local authorities in NTD control activities and proper orientation for health centre workers and CDDs despite the COVID-19 context. In Liberia, lessons learned from the Ebola epidemic in 2014–2015 have been carried over to the response to COVID-19. Training of health workers, community engagement and the existing Incident Management System were noted for their significance.

Challenges

A key challenge identified from the interviews was the significant amount of time and effort required to complete the RAMA process. The programme in Cote d'Ivoire suggested reducing the number of steps and shortening the timeframe for stakeholder responses. In Nigeria, the RAMA process was difficult for state-level implementing partners to complete and they asked for additional guidance. It was suggested that there is a need for greater sensitisation of the relevant people and authorities on the RAMA process further ahead of implementation. The programme in Cote d'Ivoire suggested that learnings can be gained from other partners and their tools. However, in Nigeria, Guinea and Liberia, the interviewees stated that the RAMA tool was the only risk assessment tool in operation for NTD programmes. In Liberia and Cote d'Ivoire, despite the RAMA process, there were risks of mistrust and misinformation relating to COVID-19. Some communities were afraid of the spread of COVID-19 during MDA. Thus there was a need for community engagement and awareness-raising when responding to health issues. Other non-COVID-19-related challenges mentioned include security threats such as kidnapping and armed robbery, which often complicate implementation in Nigeria.

Results from monitoring of compliance with COVID-19 SOPs developed through the RAMA process

CommCare was deployed in Nigeria to monitor the preparedness of CDDs and teachers to comply with COVID-19 SOPs. This section details the data and summarises the behaviours of CDDs and teachers as observed and recorded by supervisors during MDA. The quantitative results from the CommCare app are shown in Table 1.
Table 1.

Quantitative results from the CommCare app used during school-based SCH/STH and community-based OV/LF MDA

Teachers who complied with SOPs during SCH/STH MDA, %CDDs who complied with SOPs during OV/LF MDA, %
ResultKaduna n=752Niger n=659Zamfara n=342Taraba n=147Niger n=1334Kogi n=1240Kwara n=826Kebbi n=1510Sokoto n=2723Zamfara n=1420
Correct use of PPE99998999999595989393
Complied with social distancing999992971009290989591
Knowledge of who to contact in the event of an emergency relating to COVID-1995999297938995
Disinfected equipment before use97989598979594
Administered drugs outdoors232312286669454845
Used handwashing facilities99849298919392989392
Used hand sanitiser99959298969392989392
Quantitative results from the CommCare app used during school-based SCH/STH and community-based OV/LF MDA In general, during the SCH/STH and OV/LF MDAs, there was high compliance with the SOPs. CDDs and teachers at the community level were provided with PPE. Across the states, 84–99% of CDDs used handwashing facilities, 90–100% complied with social distancing and 89–99% showed correct use of PPE. Throughout the SCH/STH MDA, pupils remained at their desks and took turns walking to the front of the classroom where their height was measured and the appropriate dose of praziquantel was administered. All pupils received the same dose of albendazole. Teachers were educated on the signs and symptoms of COVID-19 and were provided with phone numbers to call in the event of suspected cases. However, across the states, 12–69% of teachers or CDDs administered drugs outside—relatively low rates compared with the other protocols listed in Table 1. It is important to mention that some indicators were not reported on by state programmes in Niger and Taraba states, managed by the same partner. Further inquiries revealed that the OV/LF programmes in both states did not feel the need to include the indicator on knowledge of who to contact in the event of an emergency relating to COVID-19 or the indicator relating to disinfection of equipment, as these were included in the training of CDDs and thus it was not thought to be necessary to include them. In Niger state, the SCH/STH programme decided not to include the indicator relating to administering drugs outdoors for the same reason.

Results from the six post-activity follow-up questions with RAMA team members

Responses to the post-activity follow-up questions reveal that misinformation and mistrust were a concern. In Kaduna, Kogi, Sokoto and Kwara, there was a notion among community members that COVID-19 did not exist or was political propaganda. Thus community members were not willing to use face masks, despite owning them. A few teachers were seen to be wearing face masks incorrectly or putting them in their pockets. These behaviours were corrected by supervisors. In rural areas of Sokoto, some pupils chose not to use face masks due to the religious belief that nothing would happen to them except what was predestined by God. In Kwara and Zamfara, some did not have access to hand sanitiser due to how much it cost. However, most demonstrated good knowledge of handwashing. Enquiry revealed that the school authority provided face masks for all pupils. No cases of COVID-19 were attributed to any of the NTD-related activities. No participant was reported to have been affected by COVID-19 during or after the implementation of MDA. In Kaduna, at the start of the MDA, the cumulative COVID-19 figure stood at 228 and rose to 766 at the end of the week. However, CDDs tested negative prior to the training and PPE was provided for all staff, including health workers, CDDs and teachers. Temperature checks were completed by all participants and documented on the attendance sheet. In Niger, there were no COVID-19 cases before MDA. However, during the MDA period, 3 of the 23 LGAs reported two cases each and 3 reported one case each. After MDA, five LGAs reported one case, although these could not be directly linked to the implementation. In Kwara, there was a significant decrease from 111 cases in 2–15 March 2021 across 14 LGAs to 2 in 13–26 April 2021 in 1 LGA. The decrease could be attributed to sensitisation of preventive measures. In Sokoto, Kebbi and Kogi, COVID-19 transmission in the targeted locations remained unchanged and no cases were recorded. No participant was reported to have been affected by COVID-19 during or after implementation.

Discussion

The RAMA process has encouraged programmes to evaluate risk and suggest solutions to enable a continuation of interventions. The results reveal the advantages of the risk assessment process to mitigate the transmission of COVID-19 during NTD delivery.

Advantages

For national programmes, this different operational environment has meant rethinking how to distribute medicines safely. Thus it has been essential for programmes to utilise a strong risk assessment process to resume activities.6 RAMA has strengthened mobilisation, as programmes needed to raise awareness with partners and within communities to overcome hostility and fears of COVID-19. These mechanisms for engaging with communities existed prior to the pandemic but were of particular advantage to the NTD programme during the pandemic for the communication of risks, mitigations and updates on treatments. The RAMA tool encourages community leaders to promote prevention behaviours and combat stigma, discrimination and false information related to COVID-19. Working under the constraints of COVID-19 generated opportunities for enhanced collaboration. Completing the RAMA process required dedicated time and diverse stakeholders working together. It has encouraged coordination across multiple levels. For example, it requires the MoHs to complete documents with up-to-date national, regional and district-level COVID-19 information. This requires frequent communication between partners and governments at the national and subnational level and information sharing between the national NTD programmes and COVID-19 response teams. The necessity for governments to lead in the completion of the RAMA process shows that national ownership is, by design, central to the process. Inclusion of health workers in online meetings in Guinea encouraged collaboration and information sharing when preparing for NTD activities. Each of the RAMA tools sets out a rigorous set of questions to be answered by regional technical teams and MoHs. They are asked to identify risk factors, consider how routine activities are to be adapted and review the financial implications of working in a different way. While non-governmental organisation (NGO) partners have adopted the tools as part of larger internal review processes, the tool and process provide a formal mechanism between government and their partners to rigorously assess and restart critical outreach work collaboratively. Such an approach complements overall approaches to strengthening health systems, building resilience and facilitating integration and cross-sector collaboration. While COVID-19 created uncertainty, the RAMA process has prepared programmes to implement activities in a precarious context. In Nigeria, teams have been able to monitor the SOPs and identify challenges via CommCare. The monitoring results show high levels of programme preparedness among implementers and within communities and a willingness to comply with the mitigation measures. There is demonstrated evidence that the MDAs did not contribute to the spread of COVID-19. Instead, the SOPs created opportunities for participants to be safeguarded. The CommCare app has improved remote supervision and the results show that the RAMA process contributed to the reduction in risk of transmission of COVID-19. In Nigeria, prior to the COVID-19 pandemic and introduction of the RAMA process, the use of handwashing facilities was not highly prioritised, despite the presence of water, sanitation and hygiene (WASH) campaigns and interventions. This was due to a lack of access to water points in the communities. The consideration of COVID-19 risk mitigation measures has encouraged programmes to make provisions for handwashing facilities and hand sanitiser and has improved coordination between WASH actors, the COVID-19 response team and Sightsavers, with many NTD officers being drafted into the COVID-19 response team across states. The RAMA tool provides a common standard across countries yet is adaptable to country needs depending on the COVID-19 situation, public health measures or security context. It also draws attention to the geographical specificity of risk at the community level. This adaptability will continue to be important as the pandemic develops.

Challenges and limitations

Despite its advantages, the RAMA process requires time and resources at a time when both are scarce. Challenges include the lack of reliable COVID-19 case records at the district and regional level, the additional workload involved in the completion of the RAMA documentation and challenges in engaging governments in the process. Low to absent COVID-19 testing capacity and poor reporting systems[14] mean that it is difficult to know the true extent of infections within countries.[15] It is therefore difficult to know for certain whether COVID-19 cases are attributable to NTD activities. While there are challenges in the validity of information sources, it is important to remain open to non-traditional sources.[16] However, some programmes rely on measures such as temperature checks and symptom screening of patients and CDDs, which are less reliable methods of detection than COVID-19 tests.[17] It is also challenging when government willingness to promote safe practices during a pandemic is weak. The operational environment in Tanzania[18] meant that it was not possible to collect data on COVID-19 cases. This did not match up with the requirements of the RAMA process, so some proxy indicators were put in place on which partners reported. As mobile platforms such as the CommCare app allow supervisors to correct deviations immediately, this may have resulted in higher reported rates of compliance. For example, a supervisor may have observed more people not wearing masks, but having corrected the behaviour, entered into the app that there was high compliance with use of PPE when at first there was not. It is therefore not clear whether the data reflect deviations that supervisors may have subsequently corrected. Outdoor administration of drugs was particularly low for the school-based SCH/STH MDA, as classrooms were used. However, the classrooms were well-ventilated and social distancing was encouraged. Overall, there was more outdoor administration throughout the community-based OV/LF MDA. However, there were some instances when the administration occurred within the compound perimeter and was therefore referred to as indoor, despite being outdoors. In some cases, the female religious practice of purdah and consideration for the elderly influenced whether drugs were administered indoors or outdoors. Further investigation into the reasons for low rates of outdoor drug administration is recommended. Table 1 shows the behaviours as seen and recorded by supervisors during MDA. However, data on the knowledge acquired by the teachers and CDDs throughout the training before the drug distribution were not available and thus it was not possible to compare the levels of understanding of the teachers and CDDs after the training with their observed behaviours during the distribution. Mitigation measures can be difficult to apply. A wider analysis of the compliance with COVID-19 mitigation measures is needed across other countries. Results vary across different country contexts and there is variation in the challenges encountered depending on the capacity to monitor and levels of sensitisation within communities. Digital remote supervision tools are not yet available in all countries and so paper-based checklists are relied upon. This does not allow for sophisticated analysis. The semistructured interviews were conducted in November 2020, when countries were amid an emergency COVID-19 response. It would be valuable to repeat the interviews for an updated reflection of the RAMA process. The seven-stage RAMA process suited the needs of Sightsavers as the lead partner throughout the Ascend programme. Therefore, while the RAMA tool itself is standardised, it should be expected that different processes will have emerged within other organisations that may have used the RAMA tool. Analyses of the advantages of other risk assessment processes will be useful. There are other risk assessment tools not evaluated within this article. The Cote d'Ivoire programme mentioned the risk assessment tool shared by the US Agency for International Development, which was useful due to its focused design.

Beyond COVID-19 and NTDs

As stated by the programme in Guinea, ‘last time it was Ebola, this time it is COVID’. COVID-19 provides an opportunity to strengthen the health system as a whole and improve collaboration between the government and NGO supporting partners in advancing long-term measures to ensure essential services to eliminate disease can continue safely and to a high standard. The next step will be to take RAMA out of the NTD sector and develop it into a tool that will be used to inform future pandemic mitigation strategies. The WHO COVID-19 Mass Gatherings Technical Expert Group sees potential to take into consideration the specific learnings from the RAMA tool and adapt the original WHO mass gathering risk assessment tool into a tool that could be used by other health sectors that involve mass administration of consumables, such as malaria bed nets. The structure of the RAMA tool can be applied to other subject matter. A Leave No One Behind Assessment Tool for NTD events has been drafted by Sightsavers alongside a Leave No One Behind toolkit. This aims to provide instructions for service delivery for populations at a higher risk of being excluded because of geography, disability, gender or other inequities. This follows a similar structure to the RAMA tool and reflects WHO guidance for assessing who is being left behind and why. While the COVID-19 situation across Africa stabilises, it will be important for countries to remain cautious.[19] The impact of COVID-19 on public health activities will continue. National programmes should clearly and strategically communicate their COVID-19 guidance and rationale for resuming public health activities with communities and health workers to gain their confidence, support and engagement in adopting various frameworks, processes and tools. It will be important to update the RAMA process to reflect the improving COVID-19 situation and relaxation of public health measures across countries. A review of the seven-stage process will ensure that it is reflective of these developments. An updated RAMA process should be streamlined while not compromising safety.

Conclusions

COVID-19 risks undermining efforts to eliminate NTDs.[20] The RAMA process was developed thanks to global collaboration and has resulted in the safe resumption of NTD activities. Millions of MDA treatments, as well as surgeries and surveys, have safely resumed despite the persisting risks of COVID-19. The effectiveness of its application is a testament to the leadership, relationships and motivation of national NTD programmes. The challenges of implementing NTD programmes in the context of COVID-19 have necessitated new methods of delivery. The RAMA process has helped guide programmes to conduct activities safely and given the opportunity to think innovatively and ‘outside the box’. The advantages of the RAMA process are wide-reaching and impactful in building resilience in health systems. It will be important for governments to continue to implement activities while mitigating risk. In many countries, the COVID-19 situation will remain volatile into the future.[21] Close collaboration and monitoring of COVID-19 trends going forward will continue to be important. Timely delivery of and equal access to COVID-19 vaccines in African nations remain concerns. Though efforts are under way to improve this,[22,23] slow rollout of vaccines creates an environment in which the virus can replicate and evolve, producing variants of concern.[24]. Thus NTD programmes will continue to use RAMA and assist national governments to integrate the tool into their standard approach to strengthen epidemic preparedness and response for future pandemics. This will significantly avoid delays in delivering much needed treatments. Sustained collaboration with the WHO is recommended to continue to share experiences from the application of the RAMA tool to inform future risk assessments.
Supervision questions Options for selection
RECORDS Indicate (Yes/No)
1Is there a community/school-based treatment register available and easily accessible?Yes or No
2Are entries in the community/school-based treatment register correct?Yes or No
3Has the census been updated for this calendar year?Yes or No
TRAINING
4How many trained CDDs/teachers are in this community/school?______
5Have you been trained this year?Yes or No
INTERVENTION SUPPLIES
6Do you have dose poles for treatment? (If yes, verify)Yes or No
7Is the dose pole properly calibrated (verify using tape measurement)?Yes or No
8Does CDD/teacher know how to use dose pole to determine dosage? Ask to demonstrate.Yes or No
9Did you miss anybody because you did not have a sufficient quantity of drugs?Yes or No
10Which drugs are not sufficient?1. PZQ, 2. IVM, 3. ALB, 4. MEB, 5. AZT TAB, 6. AZT POS, 7. TEO
11aDid anybody complain of side effects when you distributed?Yes or No
11bIf yes, what type of side effects? (Multiple selection response)1. Headache, 2. Vomiting, 3. Diarrhoea, 4. Dizziness, 5. Others)
FIELD IMPLEMENTATION – COVID-19
12Does the CDD/teacher use personal protective equipment (face masks, hand sanitisers, surface disinfectants) during distribution?Yes or No
13Does the CDD/teacher maintain social distancing of 1–2 m during distribution?Yes or No
14Does the CDD/teacher have an agreed protocol of who to contact to report suspected cases of COVID-19?Yes or No
15Is equipment (e.g. dose poles, registers, drugs, other distribution materials) adequately cleaned and disinfected before and after use?Yes or No
16Age group of respondent (CDD/teacher)18–30 y, 31–45 y, 46–59 y, ≥60 y
17aDid the CDD/teacher receive any of the following items?1. Dispensing spatulas/spoons, 2. Dispensing tray, 3. None
17bIf none in 17a, have you set an action point to ensure this is provided?Yes or No
18Do pupils/community members wash or sanitise their hands before receiving medicine?Yes or No
19If treatment happened in school, where did pupils get water for treatment?1. Home, 2. School
20Are CDD/teachers administering drugs to households/pupils indoors or outdoors?1. Indoors, 2. Outdoors
22Are there other health campaigns occurring in the community/school with associated COVID-19 risk mitigation strategies in place?Yes or No
23Are you supported by community/school in cash or kind for distributing the drugs?Yes or No
Household survey
24Sample 10 households to assess community awareness of key COVID-19 messages and MDA (ask at least the household head or any other adult).
25Did members of your household swallow medicine?Yes or No
26Do members of your household use face masks?Yes or No
27Do members of your household practise regular handwashing or sanitising?Yes or No
School pupils survey
28Sample 10 children to assess their awareness of key COVID-19 messages and MDA (at least two from each class).
29Was the child wearing a face mask at the time of the visit?Yes or No
30Ask the child to mention at least one COVID-19 preventive measure. Then choose from the options provided (multiple selection response).1. Social distancing, 2. No sharing of items, 3. Wearing of face mask, 4. Regular handwashing
31Can this child demonstrate handwashing correctly?Yes or No
32Did the child swallow the medicine?Yes or No
  12 in total

1.  Covid-19: Counting the cost of denial in Tanzania.

Authors:  Syriacus Buguzi
Journal:  BMJ       Date:  2021-04-27

2.  Equal access of COVID-19 vaccine distribution in Africa: Challenges and way forward.

Authors:  Abdullahi T Aborode; Oluwatosin A Olofinsao; Ekwebelem Osmond; Abiokpoyanam P Batubo; Omowonuola Fayemiro; Onigbinde Sherifdeen; Luqman Muraina; Babatunde S Obadawo; Shoaib Ahmad; Emmanuel A Fajemisin
Journal:  J Med Virol       Date:  2021-05-28       Impact factor: 20.693

3.  COVID-19 and neglected tropical diseases in Africa: impacts, interactions, consequences.

Authors:  David H Molyneux; Agatha Aboe; Sunday Isiyaku; Simon Bush
Journal:  Int Health       Date:  2020-09-01       Impact factor: 2.473

4.  A year of genomic surveillance reveals how the SARS-CoV-2 pandemic unfolded in Africa.

Authors:  Eduan Wilkinson; Marta Giovanetti; Houriiyah Tegally; James E San; Richard Lessells; Diego Cuadros; Darren P Martin; David A Rasmussen; Abdel-Rahman N Zekri; Abdoul K Sangare; Abdoul-Salam Ouedraogo; Abdul K Sesay; Abechi Priscilla; Adedotun-Sulaiman Kemi; Adewunmi M Olubusuyi; Adeyemi O O Oluwapelumi; Adnène Hammami; Adrienne A Amuri; Ahmad Sayed; Ahmed E O Ouma; Aida Elargoubi; Nnennaya A Ajayi; Ajogbasile F Victoria; Akano Kazeem; Akpede George; Alexander J Trotter; Ali A Yahaya; Alpha K Keita; Amadou Diallo; Amadou Kone; Amal Souissi; Amel Chtourou; Ana V Gutierrez; Andrew J Page; Anika Vinze; Arash Iranzadeh; Arnold Lambisia; Arshad Ismail; Audu Rosemary; Augustina Sylverken; Ayoade Femi; Azeddine Ibrahimi; Baba Marycelin; Bamidele S Oderinde; Bankole Bolajoko; Beatrice Dhaala; Belinda L Herring; Berthe-Marie Njanpop-Lafourcade; Bronwyn Kleinhans; Bronwyn McInnis; Bryan Tegomoh; Cara Brook; Catherine B Pratt; Cathrine Scheepers; Chantal G Akoua-Koffi; Charles N Agoti; Christophe Peyrefitte; Claudia Daubenberger; Collins M Morang'a; D James Nokes; Daniel G Amoako; Daniel L Bugembe; Danny Park; David Baker; Deelan Doolabh; Deogratius Ssemwanga; Derek Tshiabuila; Diarra Bassirou; Dominic S Y Amuzu; Dominique Goedhals; Donwilliams O Omuoyo; Dorcas Maruapula; Ebenezer Foster-Nyarko; Eddy K Lusamaki; Edgar Simulundu; Edidah M Ong'era; Edith N Ngabana; Edwin Shumba; Elmostafa El Fahime; Emmanuel Lokilo; Enatha Mukantwari; Eromon Philomena; Essia Belarbi; Etienne Simon-Loriere; Etilé A Anoh; Fabian Leendertz; Faida Ajili; Fakayode O Enoch; Fares Wasfi; Fatma Abdelmoula; Fausta S Mosha; Faustinos T Takawira; Fawzi Derrar; Feriel Bouzid; Folarin Onikepe; Fowotade Adeola; Francisca M Muyembe; Frank Tanser; Fred A Dratibi; Gabriel K Mbunsu; Gaetan Thilliez; Gemma L Kay; George Githinji; Gert van Zyl; Gordon A Awandare; Grit Schubert; Gugu P Maphalala; Hafaliana C Ranaivoson; Hajar Lemriss; Happi Anise; Haruka Abe; Hela H Karray; Hellen Nansumba; Hesham A Elgahzaly; Hlanai Gumbo; Ibtihel Smeti; Ikhlas B Ayed; Ikponmwosa Odia; Ilhem Boutiba Ben Boubaker; Imed Gaaloul; Inbal Gazy; Innocent Mudau; Isaac Ssewanyana; Iyaloo Konstantinus; Jean B Lekana-Douk; Jean-Claude C Makangara; Jean-Jacques M Tamfum; Jean-Michel Heraud; Jeffrey G Shaffer; Jennifer Giandhari; Jingjing Li; Jiro Yasuda; Joana Q Mends; Jocelyn Kiconco; John M Morobe; John O Gyapong; Johnson C Okolie; John T Kayiwa; Johnathan A Edwards; Jones Gyamfi; Jouali Farah; Joweria Nakaseegu; Joyce M Ngoi; Joyce Namulondo; Julia C Andeko; Julius J Lutwama; Justin O'Grady; Katherine Siddle; Kayode T Adeyemi; Kefentse A Tumedi; Khadija M Said; Kim Hae-Young; Kwabena O Duedu; Lahcen Belyamani; Lamia Fki-Berrajah; Lavanya Singh; Leonardo de O Martins; Lynn Tyers; Magalutcheemee Ramuth; Maha Mastouri; Mahjoub Aouni; Mahmoud El Hefnawi; Maitshwarelo I Matsheka; Malebogo Kebabonye; Mamadou Diop; Manel Turki; Marietou Paye; Martin M Nyaga; Mathabo Mareka; Matoke-Muhia Damaris; Maureen W Mburu; Maximillian Mpina; Mba Nwando; Michael Owusu; Michael R Wiley; Mirabeau T Youtchou; Mitoha O Ayekaba; Mohamed Abouelhoda; Mohamed G Seadawy; Mohamed K Khalifa; Mooko Sekhele; Mouna Ouadghiri; Moussa M Diagne; Mulenga Mwenda; Mushal Allam; My V T Phan; Nabil Abid; Nadia Touil; Nadine Rujeni; Najla Kharrat; Nalia Ismael; Ndongo Dia; Nedio Mabunda; Nei-Yuan Hsiao; Nelson B Silochi; Ngoy Nsenga; Nicksy Gumede; Nicola Mulder; Nnaemeka Ndodo; Norosoa H Razanajatovo; Nosamiefan Iguosadolo; Oguzie Judith; Ojide C Kingsley; Okogbenin Sylvanus; Okokhere Peter; Oladiji Femi; Olawoye Idowu; Olumade Testimony; Omoruyi E Chukwuma; Onwe E Ogah; Chika K Onwuamah; Oshomah Cyril; Ousmane Faye; Oyewale Tomori; Pascale Ondoa; Patrice Combe; Patrick Semanda; Paul E Oluniyi; Paulo Arnaldo; Peter K Quashie; Philippe Dussart; Phillip A Bester; Placide K Mbala; Reuben Ayivor-Djanie; Richard Njouom; Richard O Phillips; Richmond Gorman; Robert A Kingsley; Rosina A A Carr; Saâd El Kabbaj; Saba Gargouri; Saber Masmoudi; Safietou Sankhe; Salako B Lawal; Samar Kassim; Sameh Trabelsi; Samar Metha; Sami Kammoun; Sanaâ Lemriss; Sara H A Agwa; Sébastien Calvignac-Spencer; Stephen F Schaffner; Seydou Doumbia; Sheila M Mandanda; Sherihane Aryeetey; Shymaa S Ahmed; Siham Elhamoumi; Soafy Andriamandimby; Sobajo Tope; Sonia Lekana-Douki; Sophie Prosolek; Soumeya Ouangraoua; Steve A Mundeke; Steven Rudder; Sumir Panji; Sureshnee Pillay; Susan Engelbrecht; Susan Nabadda; Sylvie Behillil; Sylvie L Budiaki; Sylvie van der Werf; Tapfumanei Mashe; Tarik Aanniz; Thabo Mohale; Thanh Le-Viet; Tobias Schindler; Ugochukwu J Anyaneji; Ugwu Chinedu; Upasana Ramphal; Uwanibe Jessica; Uwem George; Vagner Fonseca; Vincent Enouf; Vivianne Gorova; Wael H Roshdy; William K Ampofo; Wolfgang Preiser; Wonderful T Choga; Yaw Bediako; Yeshnee Naidoo; Yvan Butera; Zaydah R de Laurent; Amadou A Sall; Ahmed Rebai; Anne von Gottberg; Bourema Kouriba; Carolyn Williamson; Daniel J Bridges; Ihekweazu Chikwe; Jinal N Bhiman; Madisa Mine; Matthew Cotten; Sikhulile Moyo; Simani Gaseitsiwe; Ngonda Saasa; Pardis C Sabeti; Pontiano Kaleebu; Yenew K Tebeje; Sofonias K Tessema; Christian Happi; John Nkengasong; Tulio de Oliveira
Journal:  Science       Date:  2021-09-09       Impact factor: 63.714

5.  Risk and the Republican National Convention: Application of the Novel COVID-19 Operational Risk Assessment.

Authors:  David Callaway; Jeff Runge; Lucia Mullen; Lisa Rentz; Kevin Staley; Michael Stanford; Crystal Watson
Journal:  Disaster Med Public Health Prep       Date:  2021-03-25       Impact factor: 1.385

6.  Performance of COVID-19 associated symptoms and temperature checking as a screening tool for SARS-CoV-2 infection.

Authors:  Benjamin Demah Nuertey; Kwame Ekremet; Abdul-Rashid Haidallah; Kareem Mumuni; Joyce Addai; Rosemary Ivy E Attibu; Michael C Damah; Elvis Duorinaa; Anwar Sadat Seidu; Victor C Adongo; Richard Kujo Adatsi; Hisyovi Caedenas Suri; Abass Abdul-Karim Komei; Braimah Baba Abubakari; Enoch Weyori; Emmanuel Allegye-Cudjoe; Augustina Sylverken; Michael Owusu; Richard O Phillips
Journal:  PLoS One       Date:  2021-09-17       Impact factor: 3.240

7.  Understanding COVID-19 in Africa.

Authors:  Sofonias K Tessema; John N Nkengasong
Journal:  Nat Rev Immunol       Date:  2021-06-24       Impact factor: 53.106

8.  What works and what does not work in response to COVID-19 prevention and control in Africa.

Authors:  Erigene Rutayisire; Gerard Nkundimana; Honore K Mitonga; Alex Boye; Solange Nikwigize
Journal:  Int J Infect Dis       Date:  2020-06-12       Impact factor: 3.623

9.  Evaluating the potential impact of interruptions to neglected tropical disease programmes due to COVID-19.

Authors:  T Déirdre Hollingsworth; Pauline Mwinzi; Andreia Vasconcelos; Sake J de Vlas
Journal:  Trans R Soc Trop Med Hyg       Date:  2021-03-06       Impact factor: 2.184

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