| Literature DB >> 36158932 |
John Rumunu1, Joseph Francis Wamala2, Sheila Baya Konga2, Alice Lado Igale2, Abraham Abenego Adut2, Scopas Korsuk Lonyik2, Robert Martin Lasu2, Rose Dagama Kaya2, Guyo Guracha2, Peter Nsubuga3, Fabian Ndenzako2, Olushayo Oluseun Olu2.
Abstract
Introduction: decades of instability continue to impact the implementation of the Integrated Disease Surveillance and Response (IDSR) strategy. The study reviewed the progress and outcomes of rolling out IDSR in South Sudan.Entities:
Keywords: Disease surveillance; South Sudan; data analysis; emergency preparedness and response; outbreak investigation; priority diseases
Mesh:
Year: 2022 PMID: 36158932 PMCID: PMC9474851 DOI: 10.11604/pamj.supp.2022.42.1.33779
Source DB: PubMed Journal: Pan Afr Med J
integrated disease surveillance and response indicator matrix
| No | Component | Element | Indicator | Indicator definition | Target | Data source/ method |
|---|---|---|---|---|---|---|
| 1.1 | PH priorities targeted for surveillance | Prioritizing PH events for surveillance | Objectives for disease surveillance | Exitance of objectives for national disease surveillance | Every 5-10 years | Surveillance guidelines, plan |
| 1.2 | PH priorities targeted for surveillance | Prioritizing PH events for surveillance | Disease prioritization | Evidence of prioritization of diseases for surveillance | Every 5-10 years | Surveillance guidelines, plan |
| 1.3 | PH priorities targeted for surveillance | Prioritizing PH events for surveillance | Updated priority diseases list | Number of years since the last update of the priority disease list | Every 5-10 years | Surveillance guidelines, plan |
| 2.1 | Structure | Surveillance legislation (laws and regulations) | Legislative support for the implementation of surveillance and response | Existence of legislation for surveillance and response | Existence of PH legislation | Document review (JEE report) |
| 2.2 | Structure | Surveillance legislation (laws and regulations) | Decree or orders for surveillance and response | Existence of a decree or order for surveillance and response | Existence of decree or order for PHSR | Document review (outbreak response) |
| 2.3 | Structure | Compliance with IHR (2005) | Presence of national IHR focal point | Designated IHR focal point | existence of national IHR FP | Document review (JEE report) |
| 2.4 | Structure | Compliance with IHR (2005) | Functioning IHR communication facilities | Evidence of functional email/telephone at IHR focal point for international notification and reporting | existence of communication facilities | Document review (JEE report) |
| 2.5 | Structure | Compliance with IHR (2005) | Timely notification to WHO of outbreaks of international importance | Proportion of outbreaks of international concern that were notified to WHO within 24 hours of detection | 80-100% | Document review (JEE report) |
integrated disease surveillance and response list of priority diseases, conditions, and events
| Number | Category | Disease, condition, or event |
|---|---|---|
| 1 | Epidemic prone diseases and/or reportable on a weekly basis | Malaria (suspected and confirmed) |
| 2 | Cholera 1 | |
| 3 | Acute watery diarrhoea | |
| 4 | Bacterial meningitis | |
| 5 | Diarrhoea with blood (Shigella) | |
| 6 | Viral haemorrhagic fevers*1 | |
| 7 | Dengue | |
| 8 | Typhoid fever | |
| 9 | Yellow fever 1 | |
| 10 | Measles | |
| 11 | Chickenpox | |
| 12 | Diphtheria | |
| 13 | Pertussis (whooping cough) | |
| 14 | Influenza-like illness (ILI) | |
| 15 | Severe Acute Respiratory Infection (SARI) | |
| 16 | Plague 1 | |
| 17 | Relapsing fever | |
| 18 | Nodding syndrome | |
| 19 | Brucellosis | |
| 20 | Zika | |
| 21 | Coronavirus disease 2019 (COVID-19) | |
| 22 | Epidemic prone diseases and/or reportable on a weekly basis | Acute Jaundice Syndrome |
| 23 | Animal bites (suspect rabies) | |
| 24 | Snake bites | |
| 25 | Visceral leishmaniasis (Kala azar) | |
| 26 | Anthrax | |
| 27 | Chikungunya | |
| 28 | Maternal deaths | |
| 29 | Perinatal deaths | |
| 30 | Adverse Events Following Immunization | |
| 31 | Presumptive Multi Drug Resistant TB (MDR- | |
| 32 | Gunshot/shell injury | |
| 33 | Other injury | |
| 34 | Skin disease (scabies, etc.) | |
| 35 | Malnutrition | |
| 36 | Diseases targeted for eradication or elimination | Dracunculiasis (Guinea worm) |
| 37 | Leprosy | |
| 38 | Neonatal tetanus | |
| 39 | Poliomyelitis 1 (AFP) | |
| 40 | Onchocerciasis | |
| 41 | Lymphatic filariasis | |
| 42 | Other major diseases of public health importance | Diarrhoea in children <5 |
| 43 | Pneumonia <5 | |
| 44 | HIV new cases | |
| 45 | Tuberculosis | |
| 46 | Sexually Transmitted Infections (STIs) | |
| 47 | Human African Trypanosomiasis (HAT) | |
| 48 | Buruli ulcer | |
| 49 | Schistosomiasis | |
| 50 | Soil Transmitted Helminths (STH) | |
| 51 | Trachoma | |
| 52 | Acute viral hepatitis | |
| 53 | Hypertension | |
| 54 | Diabetes mellitus | |
| 55 | Epilepsy | |
| 56 | Diseases or events of international concern | Human influenza due to a new subtype |
| 57 | Severe Acute Respiratory Syndrome (SARS) | |
| 58 | Smallpox | |
| 59 | Any public health event of international or national concern (infectious, zoonotic, food borne, chemical, radio nuclear, or due to | |
| Immediate notification and weekly reporting | ||
| Epidemic prone diseases | ||
| All the other diseases, events of public health importance are reported on monthly | ||
Figure 1integrated disease surveillance and response functions by health system level in South Sudan
integrated disease surveillance and response list of events under event-based surveillance.
| Number | Category of event | Disease, condition, or event (for immediate reporting) |
|---|---|---|
| 1 | Human | Clustered human cases of disease or syndromes |
| 2 | Unusual disease patterns | |
| 3 | Unexpected cluster deaths at community level | |
| 4 | Events that constitute potential public health risk to humans | |
| 5 | Unusual drug consumption patterns | |
| 6 | Student absenteeism because of illness | |
| 7 | Death due to suspect epidemic prone disease | |
| 8 | Death of a mother or new-born | |
| 9 | Any other public health event of national or international concern: (Infectious, zoonotic, foodborne, chemical, or radiological, unknown | |
| 10 | Stock out on 50% of tracer medicines at HF | |
| 11 | Animal and environmental | Bleeding in livestock or wildlife |
| 12 | Unusual animal deaths | |
| 13 | Unusual deaths of birds - domestic or wild | |
| 14 | Unusual deaths of fish | |
| 15 | Abortion in small animals (goats, sheep etc.) | |
| 16 | ||
| 17 | Toxic dump on land or water body | |
| 18 | Hand pump breakdown | |
| 19 | Attacks on health worker, health facilities or other health resources |
Figure 2number of alerts by disease, South Sudan, 2019
top causes of morbidity in South Sudan in 2019
| Disease or syndrome | Morbidity in week 52, 201 | Cumulative morbidity for all weeks in 2019 | ||
|---|---|---|---|---|
| Number of cases | Proportional morbidity [%] | Number of cases | Proportional morbidity [%] | |
| Malaria | 28,373 | 60.8% | 2,728,314 | 75.9% |
| ARI | 8,610 | 18.5% | 335,190 | 9.3% |
| AWD | 5,753 | 12.3% | 440,650 | 12.3% |
| Bloody diarrhoea | 879 | 1.9% | 73,688 | 2.1% |
| AJS | 4 | 0.0% | 681 | 0.0% |
| Measles | 160 | 0.3% | 3,208 | 0.1% |
| Other | 2,866 | 6.1% | 12,403 | 0.3% |
| Total cases | 46,645 | 100% | 3,594,134 | 100% |
Figure 3completeness in weekly reporting by county in week 39, 2019
Figure 4completeness in weekly reporting by county in week 39, 2020
selected diseases that emerged from 2017 to 2019
| # | Disease | Cases | Deaths | CFR | Attack rate per 10,000 | Year | Location |
|---|---|---|---|---|---|---|---|
| 1 | Pertussis (probable) | 10 | 0 | 0.91 | 2019 | Leer | |
| 2 | Chickenpox | 38 | 0 | 2.49 | 2019 | Awerial | |
| 3 | Chickenpox | 2701 | 0 | 91.13 | 2017 | Wau | |
| 4 | Suspect rabies | 38 | 1 | 2.6% | 6.18 | 2018, 2019 | Nzara |
| 5 | Suspect rabies | 679 | 0 | 84.85 | 2019 | Agok (Abyei) |
CFR - case fatality ratio
laboratory sample testing for selected priority diseases in 2019
| No. | Disease (test) | Number of samples | Comments | ||
|---|---|---|---|---|---|
| Tested | Positive | Negative | |||
| 1 | Vibrio cholerae (culture) | 134 | 0 | 134 | |
| 2 | Measles (ELISA) | 671 | 313 | 358 | Of the 358 samples that tested negative for measles, 155 tested positive for Rubella IgM |
| 3 | Influenza (PCR) | 309 | 31 | 228 | |
| 4 | Ebola (PCR) | 30 | 0 | 37 | |
| 5 | Yellow fever | 41 | 3 | ||
| 6 | Hepatitis E virus (PCR) | 71 | 57 | 14 | |
ELISA - enzyme-linked immunosorbent Assay; PCR - polymerase chain reaction
distribution of confirmed outbreaks in South Sudan in 2019
| No | Event | Location | Cases | Deaths | CFR% | Attack rate (cases per 10,000) |
|---|---|---|---|---|---|---|
| 1 | Yellow fever | Sakure | 3 | 0 | 0.0% | 0.5 |
| 2 | Rubella | Aweil Center | 35 | 0 | 0.0% | 3.1 |
| 3 | Rubella | Bor South | 4 | 0 | 0.0% | 0.2 |
| 4 | Rubella | Gogrial West | 5 | 1 | 20.0% | 0.1 |
| 5 | Rubella | Yirol East | 3 | 0 | 0.0% | 0.3 |
| 6 | Rubella | Malakal PoC | 23 | 0 | 0.0% | 9.4 |
| 7 | Rubella | Yirol West | 19 | 0 | 0.0% | 1.1 |
| 8 | Rubella | Bentiu PoC | 51 | 0 | 0.0% | 4.9 |
| 9 | Rubella | Wau PoC AA | 11 | 0 | 0.0% | 8.5 |
| 10 | Rubella | Malakal PoC | 178 | 0 | 0.0% | 72.9 |
| 11 | Measles | Abyei | 316 | 0 | 0.0% | 39.5 |
| 12 | Measles | Juba | 58 | 3 | 5.2% | 1.0 |
| 13 | Measles | Pibor | 2056 | 9 | 0.4% | 91.5 |
| 14 | Measles | Gogrial West | 156 | 0 | 0.0% | 4.0 |
| 15 | Measles | Mayom | 23 | 0 | 0.0% | 1.2 |
| 16 | Measles | Aweil South | 33 | 0 | 0.0% | 2.9 |
| 17 | Measles | Melut | 9 | 0 | 0.0% | 0.3 |
| 18 | Measles | Gogrial East | 11 | 0 | 0.0% | 0.7 |
| 19 | Measles | Aweil Center | 23 | 0 | 0.0% | 2.0 |
| 20 | Measles | Malakal PoC | 30 | 0 | 0.0% | 12.3 |
| 21 | Measles | Rumbek East | 82 | 3 | 3.7% | 3.7 |
| 22 | Measles | Bor PoC | 3 | 0 | 0.0% | 15.5 |
| 23 | Measles | Bentiu PoC | 51 | 0 | 0.0% | 4.9 |
| 24 | Measles | Aweil East | 19 | 0 | 0.0% | 0.4 |
| 25 | Measles | Wau PoC AA | 436 | 5 | 1.1% | 336.4 |
| 26 | Measles | Renk | 7 | 0 | 0.0% | 0.3 |
| 27 | Measles | Tonj North | 20 | 2 | 10.0% | 0.8 |
| 28 | Measles | Tonj South | 47 | 0.0% | 3.6 | |
| 29 | Measles | Yambio | 16 | 1 | 6.3% | 0.7 |
| 30 | Measles | Jur River | 61 | 1 | 1.6% | 3.2 |
| 31 | Hepatitis E virus | Rubkona | 36 | 1 | 2.8% | 3.4 |
| 32 | Hepatitis E virus | Lankien | 1 | 0 | 0.0% | 0.1 |
| 33 | Hepatitis E virus | Aweil Center | 1 | 0 | 0.0% | 0.1 |
| 34 | Hepatitis E virus | Lankien | 12 | 0 | 0.0% | 0.7 |
| 35 | Burns (mass casualty) | Aweil North | 130 | 36 | 27.7% | 4.5 |