| Literature DB >> 29904226 |
Maurice M'bangombe1, Lorenzo Pezzoli2, Bruce Reeder3, Storn Kabuluzi1, Kelias Msyamboza4, Humphreys Masuku4, Bagrey Ngwira5, Philippe Cavailler6, Francesco Grandesso7, Adriana Palomares8, Namseon Beck9, Allison Shaffer10, Emily MacDonald11, Mesfin Senbete12, Justin Lessler13, Sean M Moore14, Andrew S Azman13.
Abstract
PROBLEM: With limited global supplies of oral cholera vaccine, countries need to identify priority areas for vaccination while longer-term solutions, such as water and sanitation infrastructure, are being developed. APPROACH: In 2017, Malawi integrated oral cholera vaccine into its national cholera control plan. The process started with a desk review and analysis of previous surveillance and risk factor data. At a consultative meeting, researchers, national health and water officials and representatives from nongovernmental and international organizations reviewed the data and local epidemiological knowledge to determine priority districts for oral cholera vaccination. The final stage was preparation of an application to the global oral cholera vaccine stockpile for non-emergency use. LOCALEntities:
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Year: 2018 PMID: 29904226 PMCID: PMC5996210 DOI: 10.2471/BLT.17.207175
Source DB: PubMed Journal: Bull World Health Organ ISSN: 0042-9686 Impact factor: 9.408
Fig. 1Total annual number of suspected cholera cases in Malawi, 2001–2016
Fig. 2Annual number of suspected cholera cases by district of Malawi, 2001–2016
Overview of the national cholera vaccine planning process and progress in Malawi
| District | District-level data review (2001–2016) | Subdistrict-level analyses (2010–2016) | Decisions | Implementation and surveillance | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ever reported cholera | Responsible for first 80% of casesa | Reported for most years | Moderate-to-high incidenceb | Low coefficient of variationc | High-incidence subdistrictsd | Moderate-to-high incidence subdistrictsd | Contains key at-risk populationse | Prone to flooding | Priority districtf | No. of vaccine doses planned | No. of vaccine doses deliveredg | No. of cholera casesg | |
| Balaka | Y | Y | Y | Y | N | N | N | N | N | N | 0 | 0 | 0 |
| Blantyre | Y | Y | Y | Y | N | N | Y | Y | Y | 364 816 | 0 | 1 | |
| Chikwawa | Y | Y | Y | Y | Y | Y | Y | Y | Y | 412 138 | 486 510 | 1 | |
| Chiradzulu | Y | N | N | N | N | N | N | N | N | N | 0 | 0 | 0 |
| Chitipa | N | N | N | N | N | N | N | N | N | N | 0 | 0 | 0 |
| Dedza | Y | N | N | N | N | N | N | N | N | N | 0 | 0 | 31 |
| Dowa | N | N | N | N | N | N | N | Y | N | 57 000 | 89 500 | 5 | |
| Karonga | Y | N | N | Y | N | N | Y | Y | Y | 174 648 | 216 000 | 347 | |
| Kasungu | Y | Y | N | Y | N | N | N | N | Y | N | 0 | 0 | 1 |
| Likoma | N | N | N | N | N | N | N | Y | N | N | 0 | 0 | 13 |
| Lilongwe | Y | Y | Y | Y | N | N | N | Y | Y | 228 000 | 0 | 348 | |
| Machinga | Y | Y | Y | Y | N | Y | Y | Y | N | 340 000 | 0 | 0 | |
| Mangochi | Y | N | N | Y | N | N | N | Y | N | 176 232 | 0 | 0 | |
| Mchinji | Y | N | N | N | N | N | N | N | N | N | 0 | 0 | 0 |
| Mulanje | Y | N | N | N | Y | N | N | N | N | N | 0 | 0 | 4 |
| Mwanza | Y | N | N | Y | N | N | N | N | N | N | 0 | 0 | 0 |
| Mzimba | Y | N | N | N | N | N | Y | N | N | N | 0 | 0 | 0 |
| Neno | Y | N | N | N | N | N | N | N | N | N | 0 | 0 | 0 |
| Nkhata Bay | Y | N | N | Y | Y | N | Y | Y | N | 236 618 | 0 | 20 | |
| Nkhotakota | Y | N | N | Y | N | N | N | N | N | N | 0 | 0 | 0 |
| Nsanje | Y | Y | N | Y | Y | Y | Y | Y | Y | 340 000 | 40 000 | 6 | |
| Ntcheu | N | N | N | N | N | N | N | N | N | N | 0 | 0 | 0 |
| Ntchisi | N | N | N | N | N | N | N | N | N | N | 0 | 0 | 0 |
| Phalombe | Y | N | N | N | N | N | Y | Y | N | 351 102 | 0 | 0 | |
| Rumphi | Y | N | N | N | N | N | Y | Y | N | N | 0 | 0 | 13 |
| Salima | Y | N | N | Y | N | N | Y | Y | Y | 216 618 | 217 064 | 99 | |
| Thyolo | Y | N | Y | N | Y | N | Y | N | N | N | 0 | 0 | 0 |
| Zomba | Y | N | N | Y | Y | Y | Y | Y | N | 334 578 | 0 | 0 | |
Y: yes; N: no.
a Districts that contributed to the first 80% of total cases from 2001–2016 when ordered from highest to lowest number of total cases.
b Moderate-to-high mean annual incidence was defined as > 1 cholera case per 10 000 population.
c Lowest 25th percentile
d High-incidence subdistricts were defined as those with ≥ 10% of the population or ≥ 100 000 people living in an area with an annual cholera incidence > 1 per 1000 population; moderate incidence subdistricts were those with mean annual incidence > 1 per 10 000 population.
e Key populations at-risk of cholera were defined as fisherman, refugees and internally displaced persons.
f Districts designated as priority districts in the oral cholera vaccine plan are shown in bold type.
g Data are for the period 1 October 2017 to 8 April 2018.
Notes: The number of doses delivered was sometimes above what was planned because there were changes in the population at-risk particularly due to outbreaks. Karonga and Salima campaigns were accelerated due to outbreaks that started before vaccination. Due to the geographically widespread outbreak in Lilongwe, the target population was expanded for a planned campaign in April to May 2018.
Fig. 3District-level annual incidence of suspected cholera versus coefficient of variation in annual incidence in Malawi, 2001–2016
Fig. 4Mean annual incidence of suspected cholera in Malawi, 2010–2016