During January 2007–July 2012, a total of 3,220 suspected yellow fever cases were reported in the Central African Republic; 55 were confirmed and 11 case-patients died. Mean delay between onset of jaundice and case confirmation was 16.6 days. Delay between disease onset and blood collection could be reduced by increasing awareness of the population.
Because the number of reported cases of yellow fever has increased over the past 2 decades, it is considered a reemerging disease (
There are minimal data for yellow fever surveillance in Africa. The purpose of this study was to describe the timeliness, which was defined as the delay between date of onset of jaundice reported by the patient and date of an ELISA result, of the yellow fever surveillance system in the Central African Republic and identify temporal and spatial patterns and factors associated with delays in reporting.
This study was conducted as part of epidemiologic surveillance activities of the Ministry of Public Health of the Central African Republic. Data were obtained through the yellow fever surveillance system and approved by the Ministry of Health and WHO. All suspected cases reported during January 2007–July 2012 were included. A suspected case of yellow fever was defined as an acute onset of fever in a patient followed by jaundice within 2 weeks (
All blood samples from patients with suspected cases were tested at the Institut Pasteur (Bangui, Central African Republic) (IPB) for yellow fever virus–specific IgM by using the ELISA developed by the US Centers for Disease Control and Prevention (
The main study outcome was timeliness of the yellow fever surveillance system. Each intermediate step was studied: collection (from onset of jaundice to blood sample collection), field storage (from sample collection to shipping), transportation (from shipping to reception at IPB) and testing (from reception of sample to ELISA result).
Survival analysis was performed to determine how the following factors affected time to confirmed cases: age, sex, onset during the rainy season (May 1–October 31), province of residence, history of vaccination against yellow fever, and year of onset. Because the proportional hazard assumption was not verified for several variables, we used a parametric survival model and assumed a log-normal distribution of event times to estimate mutually adjusted time ratios. Subgroups were analyzed by confirmation status (confirmed or ruled out cases). Data were analyzed with Stata software version 11.0 (StataCorp LP, College Station, TX, USA) Maps were drawn with ArcGIS version 10.1 (Esri, Redlands, CA, USA).
During January 2007–July 2012, a total of 3,220 suspected cases of yellow fever were reported to IPB (
| Characteristic | Suspected case-patients, n = 3,220 | Confirmed case-patients, n = 55 | Ruled out case-patients, n = 3,165 | p value |
|---|---|---|---|---|
| Age, y | ||||
| <14 | 1,017 (31.7) | 9 (16.4) | 1,008 (32.0) | NA |
| 15–24 | 882 (27.5) | 22 (40.0) | 860 (27.3) | NA |
| 25–34 | 673 (21.0) | 16 (29.1) | 657 (20.9) | NA |
| ≥35 | 633 (19.8) | 8 (14.6) | 625 (19.8) | 0.020 |
| Median (IQR) | 21 (10–30) | 23 (17–28) | 21 (10–31) | 0.32 |
| Sex | ||||
| M | 1,851 (57.5) | 35 (63.6) | 1,816 (57.4) | NA |
| F | 1,366 (42.5) | 20 (36.4) | 1,346 (42.6) | 0.36 |
| Onset during rainy season | ||||
| No | 1,446 (45.4) | 27 (50.0) | 1,419 (45.3) | NA |
| Yes | 1,738 (54.6) | 27 (50.0) | 1,711 (54.7) | 0.50 |
| Province of residence | ||||
| Bangui | 1,053 (32.7) | 11 (20.0) | 1,042 (32.9) | NA |
| Ombella M’Poko | 794 (24.7) | 30 (54.5) | 764 (24.1) | NA |
| Lobaye | 189 (5.9) | 5 (9.1) | 184 (5.8) | NA |
| Sangha Mbaéré | 20 (0.6) | 0 | 20 (0.6) | NA |
| Mambéré Kadéi | 43 (1.3) | 0 | 43 (1.4) | NA |
| Nana Mambéré | 40 (1.2) | 0 | 40 (1.3) | NA |
| Ouham Péndé | 178 (5.5) | 1 (1.8) | 177 (5.6) | NA |
| Ouham | 111 (3.5) | 0 | 111 (3.5) | NA |
| Nana Grigbizi | 71 (2.2) | 0 | 71 (2.2) | NA |
| Kemo | 88 (2.7) | 0 | 88 (2.8) | NA |
| Bamingui Bangoran | 23 (0.7) | 0 | 23 (0.7) | NA |
| Ouaka | 188 (5.8) | 1 (1.8) | 187 (5.9) | NA |
| Basse Kotto | 178 (5.3) | 4 (7.3) | 174 (5.5) | NA |
| Vakaga | 33 (1.0) | 0 | 33 (1.0) | NA |
| Haute Kotto | 114 (3.5) | 3 (5.5) | 111 (3.5) | NA |
| Mbomou | 78 (2.4) | 0 | 78 (2.5) | NA |
| Haut Mbomou | 19 (0.6) | 0 | 19 (0.6) | NC |
| Vaccination against yellow fever | ||||
| Never | 2,301 (71.5) | 28 (50.9) | 2,273 (71.8) | NA |
| >10 y ago | 160 (5.0) | 3 (5.5) | 157 (5.0) | NA |
| ≤10 y ago | 705 (21.9) | 11 (20.0) | 694 (21.9) | NA |
| Unknown date | 54 (1.7) | 13 (23.6) | 41 (1.3) | <0.001 |
*Values are no. (%) except as indicated. NA, not applicable; IQR, interquartile range; NC, not computable.
Mean time to confirmation was 16.6 days (95% CI 16.2–16.9 days). Mean delay was 9.9 days (95% CI 9.5–10.2 days) for blood sample collection, 1.5 days (95% CI 1.4–1.6 days) for field storage, 1.1 days (95% CI 1.0–1.1 days) for transportation, and 4.2 days (95% CI 4.1–4.3 days) for testing. Detection of yellow fever (
Temporal pattern of mean time (delay between date of onset of jaundice reported by the patient and date of an ELISA result) for A) yellow fever surveillance, B) blood sample collection, C) field storage of samples, D) transportation of samples, and E) testing of samples, Central African Republic, 2007–2012. Shaded areas indicate 95% CIs.
Mean time until blood collection was shortest in Bangui (14.8 days) and surrounding areas and longest in Mbomou (26.2 days) (
Spatial pattern of mean time (delay between date of onset of jaundice reported by the patient and date of an ELISA result for A) yellow fever surveillance, B) mean time for blood sample collection, C) mean time for field storage of samples, D) mean time for transportation of samples, and E) mean time for testing of samples, by province, Central African Republic, 2007–2012.
Province of residence and year of onset were associated with a shorter period to diagnosis (p<0.001) (
| Factor | Mean timeliness, d | Adjusted time ratio (95% CI) | p value† |
|---|---|---|---|
| Age, y | |||
| <14 | 15.3 | 1.00 | NA |
| 15–24 | 16.5 | 1.13 (1.08–1.18) | NA |
| 25–34 | 16.8 | 1.15 (1.09–1.21) | NA |
| ≥35 | 18.6 | 1.21 (1.15–1.27) | <0.001 |
| Sex | |||
| M | 16.6 | 1.00 | NA |
| F | 16.5 | 1.01 (0.98–1.05) | 0.43 |
| Onset during rainy season | |||
| No | 16.7 | 1.00 | NA |
| Yes | 16.5 | 1.01 (0.97–1.04) | NA |
| Province of residence | |||
| Bangui | 14.8 | 1.00 | NA |
| Ombella M’Poko | 15.7 | 1.07 (1.02–1.12) | NA |
| Lobaye | 16.8 | 1.18 (1.09–1.28) | NA |
| Sangha Mbaéré | 17.6 | 1.17 (0.93–1.46) | NA |
| Mambéré Kadéi | 18.0 | 1.21 (1.03–1.41) | NA |
| Nana Mambéré | 20.7 | 1.43 (1.22–1.67) | NA |
| Ouham Péndé | 15.5 | 1.10 (1.01–1.19) | NA |
| Ouham | 17.0 | 1.19 (1.08–1.32) | NA |
| Nana Grigbizi | 22.9 | 1.56 (1.39–1.77) | NA |
| Kemo | 19.4 | 1.35 (1.21–1.51) | NA |
| Bamingui Bangoran | 17.5 | 1.24 (1.01–1.53) | NA |
| Ouaka | 19.2 | 1.34 (1.24–1.46) | NA |
| Basse Kotto | 16.5 | 1.19 (1.10–1.29) | NA |
| Vakaga | 20.1 | 1.38 (1.16–1.65) | NA |
| Haute Kotto | 17.4 | 1.25 (1.13–1.39) | NA |
| Mbomou | 26.2 | 1.86 (1.66–2.09) | NA |
| Haut Mbomou | 23.9 | 1.72 (1.37–2.15) | <0.001 |
| Vaccination against yellow fever | |||
| Never | 16.6 | 1.00 | NA |
| >10 y ago | 16.9 | 1.01 (0.93–1.09) | NA |
| ≤10 y ago | 16.3 | 1.01 (0.96–1.05) | NA |
| Unknown date | 16.1 | 1.06 (0.92–1.23) | 0.85 |
| Year of onset | |||
| 2007 | 17.8 | 1.00 | NA |
| 2008 | 17.3 | 1.02 (0.95–1.09) | NA |
| 2009 | 14.7 | 0.91 (0.85–0.98) | NA |
| 2010 | 16.8 | 1.04 (0.97–1.12) | NA |
| 2011 | 17.8 | 1.10 (1.02–1.18) | NA |
| 2012 | 16.6 | 1.05 (0.96–1.15) | <0.001 |
*Adjusted time ratios are from a parametric survival model assuming log-normal distribution of the event times. A time ratio represents a relative increase in time between 2 groups. Timeliness was defined as the delay between the date of onset of jaundice (reported by the patient) and the date of ELISA result. NA, not applicable. †By global Wald test.
A total of 55 yellow fever cases were confirmed and 11 case-patients died. Of the confirmed case-patients, 22 (40.0%) were 15–24 years of age, 35 (63.6%) were male, and for 13 (23.6%) date of vaccination against yellow fever virus was unknown. Age and history of vaccination differed between patients who had confirmed yellow fever cases and those who did not (
This study shows that in the Central African Republic, a country with limited health care and transportation facilities, confirmation of a yellow fever case takes 2–3 weeks. Approximately 10 days (60% of the delay) are required from the onset of symptoms to blood collection.
A fast time to case confirmation was observed in 2009, which was largely caused by a decrease in time required for blood collection, could be related to greater public awareness resulting from a yellow fever outbreak in Ombella M’Poko and Lobaye (
The 4–5 days of delay until testing is below the threshold of 7 days recommended by WHO. However, it could be decreased by implementation of a method of yellow fever detection (Bioplex Technology; BioRad Laboratories, Hercules, CA, USA), which is now in progress at IPB.
The need for confirmation by PRNT might delay vaccination because of time necessary for transportation of samples to Dakar and testing. The Central African Republic is landlocked and surrounded by countries to which yellow fever is endemic (
Delays in reporting cases observed in this study are consistent with time between onset of symptoms of yellow fever in index case-persons and in persons infected by them, which is estimated to be ≈2 weeks (
Incidence rates of yellow fever cases, Central African Republic, 2007–2012.
Current affiliation: European Hospital Georges Pompidou and Descartes University, Paris, France.
We thank the WHO office in Bangui for providing funds for transportation of samples to the laboratory and diagnostic reagents and the IPB for providing diagnostic tests.
Dr Rachas is an assistant professor at the European Hospital Georges Pompidou, Paris France. His primary research interest is the epidemiology of communicable diseases.