| Literature DB >> 35526017 |
Eric Wiesen1, Raymond Dankoli2, Melton Musa3, Jeff Higgins4, Joseph Forbi4, Jibrin Idris3, Ndadilnasiya Waziri3, Oladapo Ogunbodede3, Kabiru Mohammed5, Omotayo Bolu4, Gatei WaNganda4, Usman Adamu5, Eve Pinsker6.
Abstract
This study examined the impact of armed conflict on public health surveillance systems, the limitations of traditional surveillance in this context, and innovative strategies to overcome these limitations. A qualitative case study was conducted to examine the factors affecting the functioning of poliovirus surveillance in conflict-affected areas of Borno state, Nigeria using semi-structured interviews of a purposeful sample of participants. The main inhibitors of surveillance were inaccessibility, the destroyed health infrastructure, and the destroyed communication network. These three challenges created a situation in which the traditional polio surveillance system could not function. Three strategies to overcome these challenges were viewed by respondents as the most impactful. First, local community informants were recruited to conduct surveillance for acute flaccid paralysis in children in the inaccessible areas. Second, the informants engaged in local-level negotiation with the insurgency groups to bring children with paralysis to accessible areas for investigation and sample collection. Third, GIS technology was used to track the places reached for surveillance and vaccination and to estimate the size and location of the inaccessible population. A modified monitoring system tracked tailored indicators including the number of places reached for surveillance and the number of acute flaccid paralysis cases detected and investigated, and utilized GIS technology to map the reach of the program. The surveillance strategies used in Borno were successful in increasing surveillance sensitivity in an area of protracted conflict and inaccessibility. This approach and some of the specific strategies may be useful in other areas of armed conflict.Entities:
Year: 2022 PMID: 35526017 PMCID: PMC9077905 DOI: 10.1186/s13031-022-00452-2
Source DB: PubMed Journal: Confl Health ISSN: 1752-1505 Impact factor: 4.554
Fig. 1Conceptual Framework
List of documents reviewed
| Type of document | Document names | Date of publication | URL |
|---|---|---|---|
| Report | Displacement Tracking Matrix | December 2017 | |
| Report | Nigeria Emergency Response. Borno State Early Warning Alert and Response System | October 2016 | |
| Report | Northeast Nigeria Humanitarian Response bulletin. Borno State Government | October 2016 | |
| Report | Northeast Nigeria Humanitarian Response bulletin. Borno State Government | July 2019 | |
| Report | Lake Chad Basin Crisis Overview | February 2016 | |
| Report | Global Polio Eradication Initiative (GPEI) polio updates for Borno 20016–2019 | March 2020 | |
| Report | 33rd Nigeria Polio Expert Review Committee Report | January 2017 | |
| Report | Finding inhabited settlements and tracking vaccination progress… in Borno | May 2019 | |
| Report | Polio Independent Monitoring Board Report | October 2018 | |
| Report | USAID Lake Chad Basin Complex Emergency Fact Sheet | May 2017 | |
| Plan | National Primary Health Care Development Agency National Polio Eradication Emergency Plan | 2018 | |
| News Article | New York Times article on Boko Haram: “Boko Haram is Back. With Better Drones.” | September 2019 | |
| News Article | Washington Post article on Borno conflict: “Nigerian children who escaped Boko Haram say they faced another ‘prison’: Military detention” | September 2019 | |
| Guidelines | WHO–recommended standards for surveillance of selected vaccine-preventable diseases*- polio | 2018 | |
| Guidelines | Analyzing disrupted health sectors, a modular manual 2009. (Modules 2 and 4) | 2009 |
Interviews conducted
| Number | Level | Organization | Position type |
|---|---|---|---|
| 1 | State | CDC contractor | Surveillance |
| 2 | State | CDC contractor | Surveillance |
| 3 | State | NSTOP | Surveillance |
| 4 | State | NSTOP | Surveillance |
| 5 | State | NSTOP | Surveillance |
| 6 | State | NSTOP | Data analysis |
| 7 | State | WHO | Surveillance |
| 8 | State | Ehealth | Data analysis |
| 9 | State | Solina | Data analysis |
| 10 | State | IOM | Humanitarian Support |
| 11 | District | NSTOP | Surveillance |
| 12 | District | NSTOP | Surveillance |
| 13 | District | NSTOP | Surveillance |
| 14 | District | NSTOP | Surveillance |
| 15 | District | MoH | Surveillance |
| 16 | International | CDC | GIS Specialist |
CDC contractor, International contract with Centers for Disease Control and Prevention; WHO, World Health Organization; NSTOP, National Stop Transmission of Polio program (a cohort of trained health professionals recruited within Nigeria, modeled after the CDC-supported international STOP program [31]; Ehealth, Nigeria-based public health non-governmental organization; Solina, Nigeria-based health consulting firm; MoH, Ministry of Health
Coding system
| 1 Inhibitors | 2 Strategies | 3 Monitoring systems | 4 Collaboration and information sharing systems |
|---|---|---|---|
| 1.1 Accessibility of populations | 2.1 Community informants | 3.1 Tailored surveillance performance indicators | (no subcodes were included for this code) |
| 1.2 Communication | 2.2 GIS technology | 3.2 Tailored surveillance quality assessment tools | |
| 1.3 Health infrastructure | 2.3 Collection and testing of specimens beyond AFP cases | ||
| 1.4 Overall infrastructure | 2.4 Collaboration with security | ||
| 1.5 Population movement | 2.5 Profiling of displaced people | ||
| 1.6 Traumatizing violence | 2.6 Evacuation (emerging code) | ||
| 1.7 Malnutrition and disease outbreaks | 2.7 Nomadic population (emergent code) | ||
| 1.8 Rainy season (emergent code) | |||
| 1.9 Nomadic population (emergent code) |
Triangulation of data from document reviews and interviews
| Construct | Sub Construct | Documents | Interviews | Level of Agreement |
|---|---|---|---|---|
| Inhibitors | Inaccessibility | Discussed by most* | Discussed by most | High |
| Communication | Discussed by one | Discussed by most | High | |
| Health Infrastructure | Discussed by some | Discussed by most | High | |
| Overall Infrastructure | Discussed by one | Discussed by most | High | |
| Population movement | Discussed by most | Discussed by most | High | |
| Traumatizing violence | Discussed by some | Discussed by most | High | |
| Malnutrition and disease outbreaks | Discussed by most | Discussed by most | High | |
| Rainy season | Not discussed | Discussed by most | NA* | |
| Nomadic population | Not discussed | Discussed by some | NA | |
| Strategies | Community informants | Not discussed | Discussed by most | NA |
| GIS technology | Discussed by some | Discussed by most | High** | |
| Collection and testing of specimens beyond AFP cases | Discussed by some | Discussed by most | High | |
| Collaboration with security forces | Discussed by some | Discussed by most | High | |
| Profiling of displaced people | Discussed by some | Discussed by some | High | |
| Evacuation | Not discussed | Discussed by most | NA | |
| Nomadic population | Not discussed | Discussed by some | NA | |
| Monitoring systems | Tailored surveillance performance indicators for inaccessible areas | Not discussed | Discussed by most | NA |
| Tailored surveillance quality assessment tools | Not discussed | Discussed by some | NA | |
| Collaboration and information sharing systems | Discussed by some | Discussed by most | High** |
Note: “discussed by most” means that the majority of the documents or interviewers discussed the construct. “Discussed by some” means that at least two (but less than half) discussed it. High agreement means that the information was consistent with good agreement in the information provided. For example, for the inaccessibility construct, there was agreement across documents that there were many thousands of inaccessible people in many thousands of inaccessible settlements, and also that the size of the inaccessible population decreased considerably the over time from 2016–2018. While the exact numbers differ slightly, this aligns well with the information provided by the interview respondents
*Not applicable
**Interviewees provided additional information not found in the documents
Fig. 2Accessibility in Borno State, December 2020 (provided by the Borno polio Emergency Operations Center)
Fig. 3Map of surveillance visits in Borno since 2014 as of April 2020 (provided by the Borno polio Emergency Operations Center)