Cholera in Niger Republic: An Analysis of National Surveillance Data, 1991 - 2015

Manzo, Lawaly Maman; Moumouni, A.; Idi, Issa; Amadou, Ali; Zanguina, Jibir; Dano, Ibrahim Dan; Maïnassara, Halima Boubacar; Ousmane, Sani

doi:10.5812/iji.15591

Cited by 4 publications

(2 citation statements)

References 5 publications

(4 reference statements)

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“…If most patients have signs and symptoms compatible with the working diagnosis, and, perhaps, 15% to 20% are laboratory-confirmed, countries do not need more confirmation (32). The finding was similar to the studies conducted in Niger (33) and Kenya (34) where very low proportion of bacteriologically confirmed cases were observed which limits the reliability of information available to guide prevention and control strategies. Although laboratory capacity to support routine surveillance has been weak, improvements were observed in microbiological testing capacity and laboratory data management overtime on using both rapid diagnostics tests and culture.…”

Section: Discussionsupporting

confidence: 70%

Three Consecutive Waves of Cholera Outbreak in Ethiopia (2015- 2017): Explanatory Analysis

Tesfay¹,

Biru²

2020

Ethiop J Health Sci

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BACKGROUND: Cholera is an acute epidemic infectious disease. It is characterized by watery diarrhea, extreme loss of fluid and electrolytes, and severe dehydration. Ethiopia faced three consecutive waves of cholera outbreaks: nearly all regional states and city administrations, with the exception of one, were affected. The study was conducted with the aim of describing the epidemiology of the outbreak within the defined three years.METHODS: Secondary data review was conducted along with explanatory methods of analysis individual patient data reported from different corners of the country in the time period of 2015 –2017. Cases were identified using the case definition stated on the national guideline for cholera control in Ethiopia.RESULT: A total of 36,154 cholera cases and 246 deaths were reported (overall case-fatality rate [CFR=0.7%] affecting all regions of the country except Gambella). The outbreak began in 2015 with 238 cases and 2 deaths [CFR=0.8%]. The largest outbreak during the period under this study occurred in 2016, with 29,338 cases and 188 deaths [CFR=0. 6%]. Following a decline in disease occurrence, the country experienced a resurgence of epidemic cholera during 2017 (6,578 cases and 56 deaths; CFR, 0.9%), which declined rapidly to a few cases. AR was higher in males [37.01/100,000] and persons in the age group of 15–44years [44.10/100,000] in 2016.CONCLUSION: The outbreak affected nearly every corner of the country. Taken together, the epidemiological trends of cholera in Ethiopia showed an annual decrement in frequency and length of outbreaks during the 3 years under review. The recent decreases in cholera case counts may reflect cholera control measures put in place by public health authorities of the national Ministry of Health.

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Section: Discussionsupporting

confidence: 70%

Three Consecutive Waves of Cholera Outbreak in Ethiopia (2015- 2017): Explanatory Analysis

Tesfay¹,

Biru²

2020

Ethiop J Health Sci

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“…Similarly, the finding by Alkassoum et al (2019) revealed that the trend of cholera incidence was peaked during the rainy season. According to research by Manzo et al (2017), the Niger Republic's case fertility rate increased from 2.0 to 7.8% between 2012 and 2015 as a result of fewer people having access to clean water and adequate sanitation. The majority of assessments also stated that lowor middle-income nations were where the cholera epidemic first emerged.…”

Section: Discussionmentioning

confidence: 99%

Trends and patterns of cholera epidemic in West Africa: a statistical modeling study

Conde

Dureh

Ueranantasan

2023

Journal of Water and Health

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Cholera is a serious disease that affects a huge number of people, especially in underdeveloped nations, and is particularly prevalent in Africa and southern Asia. This study aimed to determine cholera incidence trends and patterns in West Africa, as well as to develop a statistical model for Cholera incidence. The outcomes of this study were occurrence, which was given a value of 1 if a case occurred and a value of 0 otherwise, and incidence rate. Logistic regression was used to model occurrence, while log-linear regression was used to model incidence after excluding the records with zero cases. The trend of cholera incidence rate was approximately constant for the Democratic Republic of Congo, whereas rates vary substantially throughout the study period in other countries. A confidence intervals plot shows that cholera incidence was higher in September and October, lower in 2015–2017, higher in Guinea, Niger, and Congo (west), and lower in Cote de-Ivoire, Cameroon, the Democratic Congo and Central African republics, Togo and Guinea Bissau. These two models can fit the data quite well. As a result, the method used in this study may be considered as an alternative to the traditional Poisson regression and negative binomial regression models.

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A decade of shifting cholera burden in Africa and its implications for control: a statistical mapping analysis

Perez-Saez,

Zheng,

Kaminsky

et al. 2024

Preprint

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Background: The World Health Organization declared a global cholera emergency in 2023 due to an increase in cholera outbreaks, with most cholera-associated deaths reported in Africa. Characterizing large-scale burden patterns can help with monitoring progress in cholera control and targeting interventions. Methods: We modeled the mean annual incidence of suspected cholera for 2011-2015 and 2016-2020 on a 20 km by 20 km grid across Africa using a global cholera database and spatial statistical models. We then examined how 2011-2020 incidence is associated with post-2020 cholera occurrence and investigated the potential reach of prospective interventions when prioritized by past incidence. Findings: Across 43 African countries mean annual incidence rates remained steady at 11 cases per 100,000 population through both periods. Cholera incidence shifted from Western to Eastern Africa, and we estimated 125,701 cases annually (95% CrI: 124,737-126,717) in 2016-2020. There were 296 million (95% CrI: 282-312 million) people living in high-incidence second-level administrative (ADM2) units (≥ 10 cases per 100,000 per year) in 2020, of which 135 million experienced low incidence (<1 per 100,000) in 2011-2015. ADM2 units with sustained high incidence in Central and Eastern Africa from 2011-2020 were more likely to report cholera in 2022-2023, but cases were also reported in sustained low ADM2 units. Targeting the 100 million highest burden populations had potential to reach up to 63% of 2016-2020 mean annual cases but only 37% when targeting according to past 2011-2015 incidence. Interpretation: By revealing the changing spatial epidemiology of cholera in Africa, these 10-year subnational estimates may be used to project OCV demand, characterize the potential of targeting interventions based on past burden, and track progress towards disease control goals.

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Cholera in Niger Republic: An Analysis of National Surveillance Data, 1991 - 2015

Cited by 4 publications

References 5 publications

Three Consecutive Waves of Cholera Outbreak in Ethiopia (2015- 2017): Explanatory Analysis

Three Consecutive Waves of Cholera Outbreak in Ethiopia (2015- 2017): Explanatory Analysis

Trends and patterns of cholera epidemic in West Africa: a statistical modeling study

A decade of shifting cholera burden in Africa and its implications for control: a statistical mapping analysis

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