Fever Watch: live monsoon-fever risk for your city, in one score.

A daily risk read for India's top monsoon fevers (dengue, malaria, chikungunya and typhoid) in your city, built from weather conditions, search interest and lab positivity. A risk indicator, not a diagnosis or a case count.

Available in select cities.

Reviewed by Dr. Nikita Toshi and Dr. Avinav Gupta

Monsoon fever risk by city, today

Overall risk across 209 cities, highest first. Open any city for its full read.

#	City	State	Band	Score
1	Panaji	Goa	HIGH	93
2	Bokaro	Jharkhand	HIGH	79
3	Amritsar	Punjab	HIGH	78
4	Gwalior	Madhya Pradesh	HIGH	77
5	Ranchi	Jharkhand	HIGH	75
6	Varanasi	Uttar Pradesh	HIGH	72
7	Dhanbad	Jharkhand	HIGH	72
8	Mumbai	Maharashtra	HIGH	70
9	Hyderabad	Telangana	MODERATE	68
10	Chennai	Tamil Nadu	MODERATE	68
11	Jaipur	Rajasthan	MODERATE	68
12	Gorakhpur	Uttar Pradesh	MODERATE	67
13	Nagpur	Maharashtra	MODERATE	66
14	Thane	Maharashtra	MODERATE	66
15	Bhiwandi	Maharashtra	MODERATE	66
16	Kochi	Kerala	MODERATE	66
17	Kozhikode	Kerala	MODERATE	66
18	Kollam	Kerala	MODERATE	66
19	Thrissur	Kerala	MODERATE	66
20	Thiruvananthapuram	Kerala	MODERATE	66
21	Satara	Maharashtra	MODERATE	66
22	Kannur	Kerala	MODERATE	66
23	Kottayam	Kerala	MODERATE	66
24	Alappuzha	Kerala	MODERATE	66
25	Nashik	Maharashtra	MODERATE	65
26	Amravati	Maharashtra	MODERATE	65
27	Nanded	Maharashtra	MODERATE	65
28	Kolhapur	Maharashtra	MODERATE	65
29	Jalgaon	Maharashtra	MODERATE	65
30	Chandrapur	Maharashtra	MODERATE	65
31	Parbhani	Maharashtra	MODERATE	65
32	Deoghar	Jharkhand	MODERATE	65
33	Hazaribagh	Jharkhand	MODERATE	65
34	Aurangabad	Maharashtra	MODERATE	64
35	Akola	Maharashtra	MODERATE	64
36	Latur	Maharashtra	MODERATE	64
37	Mirzapur	Uttar Pradesh	MODERATE	64
38	Palakkad	Kerala	MODERATE	64
39	Delhi	Delhi	MODERATE	63
40	Lucknow	Uttar Pradesh	MODERATE	63
41	Kanpur	Uttar Pradesh	MODERATE	63
42	Ghaziabad	Uttar Pradesh	MODERATE	63
43	Agra	Uttar Pradesh	MODERATE	63
44	Meerut	Uttar Pradesh	MODERATE	63
45	Prayagraj	Uttar Pradesh	MODERATE	63
46	Bareilly	Uttar Pradesh	MODERATE	63
47	Aligarh	Uttar Pradesh	MODERATE	63
48	Moradabad	Uttar Pradesh	MODERATE	63
49	Saharanpur	Uttar Pradesh	MODERATE	63
50	Noida	Uttar Pradesh	MODERATE	63
51	Firozabad	Uttar Pradesh	MODERATE	63
52	Jhansi	Uttar Pradesh	MODERATE	63
53	Mangaluru	Karnataka	MODERATE	63
54	Muzaffarnagar	Uttar Pradesh	MODERATE	63
55	Mathura	Uttar Pradesh	MODERATE	63
56	Shahjahanpur	Uttar Pradesh	MODERATE	63
57	Nizamabad	Telangana	MODERATE	63
58	Rampur	Uttar Pradesh	MODERATE	63
59	Hapur	Uttar Pradesh	MODERATE	63
60	Etawah	Uttar Pradesh	MODERATE	63
61	Bulandshahr	Uttar Pradesh	MODERATE	63
62	Amroha	Uttar Pradesh	MODERATE	63
63	Hardoi	Uttar Pradesh	MODERATE	63
64	Fatehpur	Uttar Pradesh	MODERATE	63
65	Raebareli	Uttar Pradesh	MODERATE	63
66	Unnao	Uttar Pradesh	MODERATE	63
67	Budaun	Uttar Pradesh	MODERATE	63
68	Purnia	Bihar	MODERATE	63
69	Udupi	Karnataka	MODERATE	63
70	Warangal	Telangana	MODERATE	62
71	Bhilai	Chhattisgarh	MODERATE	62
72	Belagavi	Karnataka	MODERATE	62
73	Dhule	Maharashtra	MODERATE	62
74	Korba	Chhattisgarh	MODERATE	62
75	Bilaspur	Chhattisgarh	MODERATE	62
76	Darbhanga	Bihar	MODERATE	62
77	Sangli	Maharashtra	MODERATE	62
78	Sitapur	Uttar Pradesh	MODERATE	62
79	Bihar Sharif	Bihar	MODERATE	62
80	Begusarai	Bihar	MODERATE	62
81	Khammam	Telangana	MODERATE	62
82	Karimnagar	Telangana	MODERATE	62
83	Ramagundam	Telangana	MODERATE	62
84	Haldwani	Uttarakhand	MODERATE	62
85	Raigarh	Chhattisgarh	MODERATE	62
86	Faridabad	Haryana	MODERATE	61
87	Raipur	Chhattisgarh	MODERATE	61
88	Gurugram	Haryana	MODERATE	61
89	Cuttack	Odisha	MODERATE	61
90	Dehradun	Uttarakhand	MODERATE	61
91	Rourkela	Odisha	MODERATE	61
92	Gulbarga	Karnataka	MODERATE	61
93	Davanagere	Karnataka	MODERATE	61
94	Agartala	Tripura	MODERATE	61
95	Bhagalpur	Bihar	MODERATE	61
96	Rohtak	Haryana	MODERATE	61
97	Brahmapur	Odisha	MODERATE	61
98	Muzaffarpur	Bihar	MODERATE	61
99	Panipat	Haryana	MODERATE	61
100	Ahmednagar	Maharashtra	MODERATE	61
101	Singrauli	Madhya Pradesh	MODERATE	61
102	Sambalpur	Odisha	MODERATE	61
103	Puri	Odisha	MODERATE	61
104	Haridwar	Uttarakhand	MODERATE	61
105	Visakhapatnam	Andhra Pradesh	MODERATE	60
106	Howrah	West Bengal	MODERATE	60
107	Hubballi	Karnataka	MODERATE	60
108	Siliguri	West Bengal	MODERATE	60
109	Gaya	Bihar	MODERATE	60
110	Puducherry	Puducherry	MODERATE	60
111	Port Blair	Andaman and Nicobar Islands	MODERATE	60
112	Daman	Dadra and Nagar Haveli and Daman and Diu	MODERATE	60
113	Silvassa	Dadra and Nagar Haveli and Daman and Diu	MODERATE	60
114	Katihar	Bihar	MODERATE	60
115	Bardhaman	West Bengal	MODERATE	60
116	Kharagpur	West Bengal	MODERATE	60
117	Haldia	West Bengal	MODERATE	60
118	Sagar	Madhya Pradesh	MODERATE	60
119	Satna	Madhya Pradesh	MODERATE	60
120	Rewa	Madhya Pradesh	MODERATE	60
121	Ahmedabad	Gujarat	MODERATE	59
122	Kolkata	West Bengal	MODERATE	59
123	Pune	Maharashtra	MODERATE	59
124	Vijayawada	Andhra Pradesh	MODERATE	59
125	Kota	Rajasthan	MODERATE	59
126	Guwahati	Assam	MODERATE	59
127	Solapur	Maharashtra	MODERATE	59
128	Durgapur	West Bengal	MODERATE	59
129	Ujjain	Madhya Pradesh	MODERATE	59
130	Jammu	Jammu and Kashmir	MODERATE	59
131	Alwar	Rajasthan	MODERATE	59
132	Arrah	Bihar	MODERATE	59
133	Chhapra	Bihar	MODERATE	59
134	Malda	West Bengal	MODERATE	59
135	Baharampur	West Bengal	MODERATE	59
136	Bharatpur	Rajasthan	MODERATE	59
137	Ratlam	Madhya Pradesh	MODERATE	59
138	Dewas	Madhya Pradesh	MODERATE	59
139	Katni	Madhya Pradesh	MODERATE	59
140	Nagercoil	Tamil Nadu	MODERATE	59
141	Hisar	Haryana	MODERATE	59
142	Mohali	Punjab	MODERATE	59
143	Dibrugarh	Assam	MODERATE	59
144	Vadodara	Gujarat	MODERATE	58
145	Jabalpur	Madhya Pradesh	MODERATE	58
146	Chandigarh	Chandigarh	MODERATE	58
147	Jamshedpur	Jharkhand	MODERATE	58
148	Gandhinagar	Gujarat	MODERATE	58
149	Sikar	Rajasthan	MODERATE	58
150	Khandwa	Madhya Pradesh	MODERATE	58
151	Anand	Gujarat	MODERATE	58
152	Nadiad	Gujarat	MODERATE	58
153	Bharuch	Gujarat	MODERATE	58
154	Navsari	Gujarat	MODERATE	58
155	Raichur	Karnataka	MODERATE	58
156	Hassan	Karnataka	MODERATE	58
157	Kanchipuram	Tamil Nadu	MODERATE	58
158	Eluru	Andhra Pradesh	MODERATE	58
159	Karnal	Haryana	MODERATE	58
160	Ambala	Haryana	MODERATE	58
161	Ludhiana	Punjab	MODERATE	57
162	Rajkot	Gujarat	MODERATE	57
163	Jalandhar	Punjab	MODERATE	57
164	Guntur	Andhra Pradesh	MODERATE	57
165	Asansol	West Bengal	MODERATE	57
166	Jamnagar	Gujarat	MODERATE	57
167	Udaipur	Rajasthan	MODERATE	57
168	Tirupati	Andhra Pradesh	MODERATE	57
169	Bellary	Karnataka	MODERATE	57
170	Patiala	Punjab	MODERATE	57
171	Bhilwara	Rajasthan	MODERATE	57
172	Vellore	Tamil Nadu	MODERATE	57
173	Rajahmundry	Andhra Pradesh	MODERATE	57
174	Surat	Gujarat	MODERATE	56
175	Ajmer	Rajasthan	MODERATE	56
176	Kakinada	Andhra Pradesh	MODERATE	56
177	Junagadh	Gujarat	MODERATE	56
178	Gandhidham	Gujarat	MODERATE	56
179	Tumakuru	Karnataka	MODERATE	56
180	Bathinda	Punjab	MODERATE	56
181	Indore	Madhya Pradesh	MODERATE	55
182	Bhopal	Madhya Pradesh	MODERATE	55
183	Bhubaneswar	Odisha	MODERATE	55
184	Hanumangarh	Rajasthan	MODERATE	55
185	Vijayapura	Karnataka	MODERATE	55
186	Jodhpur	Rajasthan	MODERATE	54
187	Salem	Tamil Nadu	MODERATE	54
188	Nellore	Andhra Pradesh	MODERATE	54
189	Tirunelveli	Tamil Nadu	MODERATE	54
190	Kurnool	Andhra Pradesh	MODERATE	54
191	Sri Ganganagar	Rajasthan	MODERATE	54
192	Kadapa	Andhra Pradesh	MODERATE	54
193	Ongole	Andhra Pradesh	MODERATE	54
194	Mysuru	Karnataka	MODERATE	53
195	Pali	Rajasthan	MODERATE	53
196	Coimbatore	Tamil Nadu	MODERATE	52
197	Thanjavur	Tamil Nadu	MODERATE	52
198	Thoothukudi	Tamil Nadu	MODERATE	51
199	Patna	Bihar	MODERATE	48
200	Dindigul	Tamil Nadu	MODERATE	48
201	Hosur	Tamil Nadu	MODERATE	48
202	Tiruchirappalli	Tamil Nadu	MODERATE	46
203	Bikaner	Rajasthan	MODERATE	46
204	Anantapur	Andhra Pradesh	MODERATE	45
205	Bengaluru	Karnataka	LOW-MODERATE	43
206	Erode	Tamil Nadu	LOW-MODERATE	43
207	Madurai	Tamil Nadu	LOW-MODERATE	42
208	Tiruppur	Tamil Nadu	LOW-MODERATE	42
209	Srinagar	Jammu and Kashmir	LOW-MODERATE	36

How we calculate the score

1. Per-disease environmental score (0 to 100)

From trailing daily weather, shaped by disease family:

Mosquito-borne (dengue, malaria, chikungunya): a unimodal temperature response peaking near 29C (Aedes and Anopheles multiply fastest at 25 to 30C; activity falls below about 18C and above about 35C), times lagged rainfall over the past 14 days (standing-water sites emerge 1 to 2 weeks after rain), times relative humidity (above about 60% extends mosquito lifespan).
Waterborne (typhoid): recent (7-day) plus accumulated (14-day) rainfall as a contamination and runoff proxy; temperature secondary.

2. Three independent signals

Weather conditions (leading, weeks ahead): the environmental score above.
Google Search Interest (coincident): symptom-search attention, smoothed and down-weighted when it spikes alone.
PharmEasy lab signal (lagging, ground truth): aggregate, de-identified test-positivity trend, scaled against a per-disease baseline because a 'high' positivity differs sharply by fever (a full signal is reached around 25% positivity for dengue, 4% for malaria, 15% for chikungunya and 45% for typhoid), and held back until enough tests confirm the read.

3. Confirmation-weighted ensemble

Not a flat average. With lab data present it dominates (weights about 30 / 22 / 48 weather / search / positivity); when all three signals agree we nudge the score up by about 8%, and when they disagree we ease off by about 4% and lean on the lab. Without lab data, a forecast-only mode eases the score back as it climbs toward the HIGH threshold (a soft cap held below 70) so it can approach but never enter HIGH, keeping a conditions-only read honest. The city headline is a max-dominant blend (0.8 times the top disease plus 0.2 times the mean of the rest) with the driver disease named.

In the breakdown each signal is shown as a plain High / Moderate / Low level with its weight and underlying 0 to 100 score, and the three contributions add up exactly to the displayed score.

Score bands

Low (0 to 24), Low-moderate (25 to 44), Moderate (45 to 69) and High (70 to 100). A forecast-only read (no lab data) is eased back as it climbs and held below 70, so it can never reach the red High band.

Data sources

Rainfall: NOAA CPC (US public domain)
Temperature and humidity: NASA POWER (NASA Langley, US public domain / CC0)
Search: Google Trends
Positivity: PharmEasy Labs and its Partner Affiliates (aggregate, de-identified)

Selected research

Mordecai et al. Thermal biology of mosquito-borne disease. Ecology Letters, 2019.
Liu-Helmersson et al. Vectorial capacity of Aedes aegypti and temperature. PLOS ONE, 2014.
Ginsberg et al. Detecting influenza epidemics using search engine query data. Nature, 2009.
IDSP Weekly Outbreak Reports, MoHFW (official surveillance).

This is a daily updated dashboard where we compute a monsoon-risk score (0-100) based on multiple data inputs, including weather data, Google search trends, and aggregate data from PharmEasy Labs and its Partner Affiliates.

Common questions

What is Fever Watch?

Fever Watch is a daily risk indicator for India's top monsoon fevers (dengue, malaria, chikungunya and typhoid), shown as one decomposable score per city and disease. It blends weather conditions, public search interest and PharmEasy lab positivity.

Is this a diagnosis or medical advice?

No. Fever Watch is a risk indicator only. It is not a diagnosis, not a count of actual cases or mosquitoes, and not a substitute for a doctor. If you feel unwell, consult a clinician.

How is the score calculated?

It is a transparent weighted blend of three signals at different points in the illness pipeline: weather conditions (leading), search interest (coincident) and lab positivity (lagging ground truth). When lab data is present it leads the score, and the breakdown is always shown.

What does forecast-only mean?

Where there is not enough lab data for a city and disease yet, the score is a conditions-based forecast and is held below the HIGH band, so a forecast-only read can never show HIGH. This keeps the read honest.

How often is it updated?

Weather is refreshed daily from NOAA CPC and NASA POWER, search interest weekly, and the lab signal daily. The score for each city is recomputed every day.

Which cities are covered?

Fever Watch currently covers over 200 Indian cities, with more planned. Use the city search to see the read for your city.